Professor Derek Jones
(he/him)

MBE

Professor, Director of CUBRIC

: Available for postgraduate supervision

CUBRIC's core mission is to advance brain imaging techniques to enhance our understanding of brain structure and function in health and disease. As the Director, I provide strategic guidance to the centre's pursuits.

My own research centres on optimizing non-invasive magnetic resonance imaging to extract quantitative insights into brain structure, in health (including in development and ageing), and in disease (including a range of neurological, psychiatric and oncological conditions).

You may find the piece linked here useful in understanding what I do.

My recent work, predominantly in diffusion MRI, has focused on two extremes:

1. Exploiting ultra-strong imaging gradients

We're pushing the limits of tissue microstructural characterisation in white and grey matter using the Siemens Connectom scanner. The picture below shows my own brain (a still from the BBC news item here).

2. Developing diffusion MRI at low field

Working with the Bill and Melinda Gates Foundation, and Hyperfine, our group is developing the ability to reconstruct white matter pathways on low cost, ultra-portable machines. The picture below shows reconstruction of language pathways at 64 mT.

This latter work aligns with my passion for democratising access to MRI in its broadest sense.

Beyond diffusion MRI, we're broadening our toolkit to encompass multi-component relaxometry and quantitative magnetisation transfer imaging, aiming for a comprehensive characterization of white matter.

Date
Type

2021

Dimitriadis, S. I. et al. 2021. Global brain flexibility during working memory is reduced in a high genetic risk group for schizophrenia. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 6(12), pp. 1176-1184. (10.1016/j.bpsc.2021.01.007)
Casella, C. et al. 2021. Mutation-related apparent myelin, not axon density, drives white matter differences in premanifest Huntington's disease: evidence from in vivo ultra-strong gradient MRI. [Online]. bioRxiv. (10.1101/2021.11.29.469517) Available at: https://doi.org/10.1101/2021.11.29.469517
Dimitriadis, S. I. et al. 2021. Genetic risk for schizophrenia is associated with altered visually-induced gamma band activity: evidence from a population sample stratified polygenic risk. Translational Psychiatry 11, article number: 592. (10.1038/s41398-021-01678-z)
De Luca, A. et al. 2021. On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge. NeuroImage 240, article number: 118367. (10.1016/j.neuroimage.2021.118367)
Chamberland, M., Winter, M., Brice, T. A. W., Jones, D. K. and Tallantyre, E. C. 2021. Beyond lesion-load: tractometry-based metrics for characterizing white matter lesions within ﬁbre pathways. Presented at: MICCAI 2020 International Workshop on Computational Diffusion MRI (CDMRI 2020), Virtual, 8 October 2020 Presented at Gyori, N. et al. eds.Computational Diffusion MRI: International MICCAI Workshop, Lima, Peru, October 2020. Mathematics and Visualization pp. 227-237., (10.1007/978-3-030-73018-5_18)
Dimitriadis, S. I., Messaritaki, E. and Jones, D. K. 2021. The impact of graph construction scheme and community detection algorithm on the reliability of community and hub identification in structural brain networks. Human Brain Mapping 42(13), pp. 4261-4280. (10.1002/hbm.25545)
Chamberland, M. et al. 2021. Detecting microstructural deviations in individuals with deep diffusion MRI tractometry. Nature Computational Science 1, pp. 598-606. (10.1038/s43588-021-00126-8)
Pieciak, T., Afzali, M., Bogusz, F., Aja-Fernández, S. and Jones, D. K. 2021. Q-Space quantitative diffusion MRI measures using a stretched-exponential representation. Presented at: International MICCAI Workshop, Lima, Peru, Oct 2020 Presented at Gyori, N. et al. eds.Computational Diffusion MRI. Mathematics and Visualization Springer pp. 121-133., (10.1007/978-3-030-73018-5_10)
Zappala, S. et al. 2021. Full-field MRI measurements of in-vivo positional brain shift reveal the significance of intra-cranial geometry and head orientation for stereotactic surgery. Scientific Reports 11(1), article number: 17684. (10.1038/s41598-021-97150-5)
Afzali, M., Nilsson, M., Palombo, M. and Jones, D. K. 2021. SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI. NeuroImage 237, article number: 118183. (10.1016/j.neuroimage.2021.118183)
Tax, C. M. W., Kleban, E., Chamberland, M., Baraković, M., Rudrapatna, U. and Jones, D. K. 2021. Measuring compartmental T2-orientational dependence in human brain white matter using a tiltable RF coil and diffusion-T2 correlation MRI. NeuroImage 236, article number: 117967. (10.1016/j.neuroimage.2021.117967)
Winter, M., Tallantyre, E. C., Brice, T. A. W., Robertson, N. P., Jones, D. K. and Chamberland, M. 2021. Tract-specific MRI measures explain learning and recall differences in multiple sclerosis. Brain Communications 3(2), article number: fcab065. (10.1093/braincomms/fcab065)
Afzali, M., Knutsson, H., Ozarslan, E. and Jones, D. K. 2021. Computing the orientational-average of diffusion-weighted MRI signals: a comparison of different techniques. Scientific Reports 11, article number: 14345. (10.1038/s41598-021-93558-1)
Messaritaki, E., Foley, S., Schiavi, S., Magazzini, L., Routley, B., Jones, D. K. and Singh, K. D. 2021. Predicting MEG resting-state functional connectivity using microstructural information. Network Neuroscience 5(2), pp. 477-504. (10.1162/netn_a_00187)
Henriques, R. N., Jespersen, S. N., Jones, D. K. and Veraart, J. 2021. Towards more robust and reproducible diffusion kurtosis imaging. Magnetic Resonance in Medicine 86(3), pp. 1600-1613. (10.1002/mrm.28730)
Huang, C. et al. 2021. Validating pore size estimates in a complex microfibre environment on a human MRI system. Magnetic Resonance in Medicine 86(3), pp. 1514-1530. (10.1002/mrm.28810)
Lipp, I. et al. 2021. Predictors of training-related improvement in visuomotor performance in patients with multiple sclerosis: a behavioural and MRI study. Multiple Sclerosis 7(7), pp. 1088-1101. (10.1177/1352458520943788)
Aja-Fernández, S., Tristán-Vega, A. and Jones, D. K. 2021. Apparent propagator anisotropy from single-shell diffusion MRI acquisitions. Magnetic Resonance in Medicine 85(5), pp. 2869-2881. (10.1002/mrm.28620)
Veraart, J., Raven, E. P., Edwards, L. J., Weiskopf, N. and Jones, D. K. 2021. The variability of MR axon radii estimates in the human white matter. Human Brain Mapping 42(7), pp. 2201-2213. (10.1002/hbm.25359)
Yeh, C., Jones, D. K., Liang, X., Descoteaux, M. and Connelly, A. 2021. Mapping structural connectivity using diffusion MRI : challenges and opportunities. Journal of Magnetic Resonance Imaging 53(6), pp. 1666-1682. (10.1002/jmri.27188)
Casella, C. et al. 2021. Multi-compartment analysis of the complex gradient-echo signal quantifies myelin breakdown in premanifest Huntington's disease. NeuroImage: Clinical 30, article number: 102658. (10.1016/j.nicl.2021.102658)
Barakovic, M. et al. 2021. Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation. NeuroImage 227, article number: 117617. (10.1016/j.neuroimage.2020.117617)
Tax, C. M. W., Kleban, E., Barakovic, M., Chamberland, M. and Jones, D. K. 2021. Magnetic resonance imaging of T2 - and diffusion snisotropy using a tiltable receive coil. Presented at: Visualization and Processing of Anisotropy in Imaging, Geometry, and Astronomy, Dagstuhl, Germany, 28 Oct–2 Nov 2018 Presented at Ozarslan, E. et al. eds.Anisotropy Across Fields and Scales. Mathematics and Visualization Springer pp. 247-262., (10.1007/978-3-030-56215-1_12)
Guo, F., De Luca, A., Parker, G., Jones, D. K., Viergever, M. A., Leemans, A. and Tax, C. M. W. 2021. The effect of gradient nonlinearities on fiber orientation estimates from spherical deconvolution of diffusion MRI data. Human Brain Mapping 42(2), pp. 367-383. (10.1002/hbm.25228)
de Almeida Martins, J. P., Tax, C. M. W., Reymbaut, A., Szczepankiewicz, F., Chamerland, M., Jones, D. K. and Topgaard, D. 2021. Computing and visualising intra-voxel orientation-specific relaxation-diffusion features in the human brain. Human Brain Mapping 42(2), pp. 310-328. (10.1002/hbm.25224)
Koller, K. et al. 2021. MICRA: Microstructural Image Compilation with Repeated Acquisitions. NeuroImage 225, article number: 117406. (10.1016/j.neuroimage.2020.117406)
Afzali, M., Pieciak, T., Newman, S., Garifallidis, E., Özarslan, E., Cheng, H. and Jones, D. K. 2021. The sensitivity of diffusion MRI to microstructural properties and experimental factors. Journal of Neuroscience Methods 347, article number: 108951. (10.1016/j.jneumeth.2020.108951)
Gholam, J. A. et al. 2021. aDWI-BIDS: advanced diffusion weighted imaging metadata for the brain imaging data structure. Presented at: ISMRM & SMRT Annual Meeting & Exhibition, Virtual, 15-20 May 2021.

2020

Ning, L. et al. 2020. Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: algorithms and result. NeuroImage 221, article number: 117128. (10.1016/j.neuroimage.2020.117128)
Rafael-Patino, J. et al. 2020. DWI simulation-assisted machine learning models for microstructure estimation. Presented at: MICCAI Workshop, Shenzhen, China, Oct 2019 Presented at Bonet-Carne, E. et al. eds.Computational Diffusion MRI. Mathematics and Visualization Springer pp. 125-134., (10.1007/978-3-030-52893-5_11)
Pizzolato, M. et al. 2020. Acquiring and predicting multidimensional diffusion (MUDI) data: an open challenge. Presented at: MICCAI Workshop, Shenzhen, China, Oct 2019 Presented at Bonet-Carne, E. et al. eds.Computational Diffusion MRI. Mathematics and Visualization Springer pp. 195-208., (10.1007/978-3-030-52893-5_17)
Casella, C. et al. 2020. Drumming motor sequence training induces apparent myelin remodelling in Huntington’s disease: a longitudinal diffusion MRI and quantitative magnetization transfer study. Journal of Huntington's Disease 9(3), pp. 303-320. (10.3233/JHD-200424)
Afzali, M., Aja-Fernandez, S. and Jones, D. K. 2020. Direction-averaged diffusion-weighted MRI signal using different axisymmetric B-tensor encoding schemes. Magnetic Resonance in Medicine 84(3), pp. 1579-1591. (10.1002/mrm.28191)
Casella, C., Rosser, A., Lipp, I., Jones, D. and Metzler-Baddeley, C. 2020. A critical review of white matter changes in Huntington’s disease. Movement Disorders 35(8), pp. 1302-1311. (10.1002/mds.28109)
Sharp, T. H. et al. 2020. Population neuroimaging: generation of a comprehensive data resource within the ALSPAC pregnancy and birth cohort. Wellcome Open Research 5, article number: 203. (10.12688/wellcomeopenres.16060.1)
Kleban, E., Tax, C. M., Rudrapatna, U. S., Jones, D. K. and Bowtell, R. 2020. Strong diffusion gradients allow the separation of intra- and extra-axonal gradient-echo signals in the human brain. NeuroImage 217, article number: 116793. (10.1016/j.neuroimage.2020.116793)
Genc, S., Tax, C. M. W., Raven, E. P., Chamberland, M., Parker, G. D. and Jones, D. K. 2020. Impact of b-value on estimates of apparent fibre density. Human Brain Mapping 41(10), pp. 2583-2595. (10.1002/hbm.24964)
Tax, C., Sczepankiewicz, F., Nilsson, M. and Jones, D. K. 2020. The dot-compartment revealed? Diffusion MRI with ultra-strong gradients and spherical tensor encoding in the living human brain. NeuroImage 210, article number: 116534. (10.1016/j.neuroimage.2020.116534)
Lipp, I. et al. 2020. Tractography in the presence of multiple sclerosis lesions. NeuroImage 209, article number: 116471. (10.1016/j.neuroimage.2019.116471)
Postans, M. et al. 2020. Uncovering a role for the dorsal hippocampal commissure in recognition memory. Cerebral Cortex 30(3), pp. 1001-1015. (10.1093/cercor/bhz143)
Poudel, G. R. et al. 2020. Network diffusion modeling predicts neurodegeneration in traumatic brain injury. Annals of Clinical and Translational Neurology 7(3), pp. 270-279. (10.1002/acn3.50984)
Martins, J. P. d. A., Tax, C. M. W., Szczepankewicz, F., Jones, D. K., Westin, C. and Topgaard, D. 2020. Transferring principles of solid-state and Laplace NMR to the field of in vivo brain MRI. Magnetic Resonance 1, pp. 27-43. (10.5194/mr-1-27-2020)
Rudrapatna, U., Parker, G. D., Roberts, J. and Jones, D. K. 2020. A comparative study of gradient nonlinearity correction strategies for processing diﬀusion data obtained with ultra-strong-gradient MRI scanner. Magnetic Resonance in Medicine 85(2), pp. 1104-1113. (10.1002/mrm.28464)
Veraart, J., Nunes, D., Rudrapatna, U., Fieremans, E., Jones, D. K., Novikov, D. S. and Shemesh, N. 2020. Noninvasive quantification of axon radii using diffusion MRI. eLife 9, article number: e49855. (10.7554/eLife.49855)
Harrison, J. R., Bhatia, S., Tan, Z. X., Mirza-Davies, A., Benkert, H., Tax, C. M. and Jones, D. K. 2020. Imaging Alzheimer's genetic risk using Diffusion MRI: a systematic review. NeuroImage: Clinical 27, article number: 102359. (10.1016/j.nicl.2020.102359)
Chamberland, M. et al. 2020. Tractometry-based anomaly detection for single-subject white matter analysis. Presented at: Medical Imaging with Deep Learning (MIDL 2020), Montréal, Canada, 6-9 July 2020.

2019

Drakesmith, M., Harms, R., Umesh Rudrapatna, S., Parker, G. D., Evans, C. J. and Jones, D. K. 2019. Estimating axon conduction velocity in vivo from microstructural MRI. NeuroImage 203, article number: 116186. (10.1016/j.neuroimage.2019.116186)
Chamberland, M. et al. 2019. Dimensionality reduction of diffusion MRI measures for improved tractometry of the human brain. NeuroImage 200, pp. 89-100. (10.1016/j.neuroimage.2019.06.020)
Messaritaki, E., Dimitriadis, S. I. and Jones, D. K. 2019. Optimization of graph construction can significantly increase the power of structural brain network studies. NeuroImage 199, pp. 495-511. (10.1016/j.neuroimage.2019.05.052)
Lipp, I. et al. 2019. Comparing MRI metrics to quantify white matter microstructural damage in multiple sclerosis. Human Brain Mapping 40(10), pp. 2917-2932. (10.1002/hbm.24568)
Tax, C. M. W. et al. 2019. Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms. NeuroImage 195, pp. 285-299. (10.1016/j.neuroimage.2019.01.077)
Afzali Deligani, M., Tax, C. M., Chatziantoniou, C. and Jones, D. K. 2019. Comparison of different tensor encoding combinations in microstructural parameter estimation. Presented at: IEEE International Symposium on Biomedical Imaging, Venice, Italy, 8-11 Apr 20192019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE pp. 1471-1474., (10.1109/ISBI.2019.8759100)
Chamberland, M., St-Jean, S., Tax, C. M. W. and Jones, D. K. 2019. Obtaining representative core streamlines for white matter tractometry of the human brain. Presented at: International MICCAI Workshop, Granada, Spain, Sep 2018 Presented at Bonet-Carne, E. et al. eds.Computational Diffusion MRI. Mathematics and Visualization Cham: Springer pp. 359-366., (10.1007/978-3-030-05831-9_28)
Ning, L. et al. 2019. Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): Progress and results. Presented at: MICCAI 2018, Granada, Spain, 16-20 September 2018 Presented at Bonet-Carne, E. et al. eds.Computational Diffusion MRI, Vol. 1. Mathematics and Visualization Cham: Springer pp. 217-224., (10.1007/978-3-030-05831-9_18)
Bourbon Teles, J., Bells, S., Jones, D. K., Coulthard, E., Rosser, A. and Metzler-Baddeley, C. 2019. Myelin breakdown in human Huntington's disease: multi-modal evidence from diffusion MRI and quantitative magnetization transfer. Neuroscience 403, pp. 79-92. (10.1016/j.neuroscience.2017.05.042)
Metzler-Baddeley, C. et al. 2019. Sex-specific effects of central adiposity and inflammatory markers on limbic microstructure. NeuroImage 189, pp. 793-803. (10.1016/j.neuroimage.2019.02.007)
Imms, P., Clemente, A., Cook, M., D?Souza, W., Wilson, P. H., Jones, D. K. and Caeyenberghs, K. 2019. The structural connectome in traumatic brain injury: A meta-analysis of graph metrics. Neuroscience and Biobehavioral Reviews 99, pp. 128-137. (10.1016/j.neubiorev.2019.01.002)
Lancaster, T. M. et al. 2019. Structural and functional neuroimaging of polygenic risk for schizophrenia: a recall-by-genotype-based approach. Schizophrenia Bulletin 45(2), pp. 405-414. (10.1093/schbul/sby037)
David, S. et al. 2019. The Superoanterior Fasciculus (SAF): a novel white matter pathway in the human brain?. Frontiers in Neuroanatomy 13, pp. -., article number: 24. (10.3389/fnana.2019.00024)
Drakesmith, M. et al. 2019. Genetic risk for schizophrenia and developmental delay is associated with shape and microstructure of midline white-matter structures. Translational Psychiatry 9(1), article number: 102. (10.1038/s41398-019-0440-7)
Metzler-Baddeley, C. et al. 2019. Fornix white matter glia damage causes hippocampal gray matter damage during age-dependent limbic decline. Scientific Reports 9, article number: 1060. (10.1038/s41598-018-37658-5)
Fonville, L., Drakesmith, M., Zammit, S., Lewis, G., Jones, D. and David, A. S. 2019. MRI indices of cortical development in young people with psychotic experiences: influence of genetic risk and persistence of symptoms. Schizophrenia Bulletin 45(1), pp. 169-179., article number: sbx195. (10.1093/schbul/sbx195)
Hyde, C. et al. 2019. White matter organization in developmental coordination disorder: a pilot study exploring the added value of constrained spherical deconvolution. NeuroImage: Clinical 21, article number: 101625. (10.1016/j.nicl.2018.101625)

2018

Chamberland, M., Tax, C. M. W. and Jones, D. K. 2018. Meyer's loop tractography for image-guided surgery depends on imaging protocol and hardware. NeuroImage: Clinical 20, pp. 458-465. (10.1016/j.nicl.2018.08.021)
Messaritaki, E., Umesh, R. S., Parker, G., Gray, W. and Jones, D. 2018. Improving the predictions of computational models of convection-enhanced drug delivery by accounting for diffusion non-Gaussianity. Frontiers in Neurology 9, article number: 1092. (10.3389/fneur.2018.01092)
Jones, D. K. et al. 2018. Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI. NeuroImage 182, pp. 8-38. (10.1016/j.neuroimage.2018.05.047)
Molina-Romero, M. et al. 2018. A diffusion model-free framework with echo time dependence for free-water elimination and brain tissue microstructure characterization. Magnetic Resonance in Medicine 80(5), pp. 2155-2172. (10.1002/mrm.27181)
Caeyenberghs, K. et al. 2018. Evidence for training-dependent structural neuroplasticity in brain-injured patients: A critical review. Neurorehabilitation and Neural Repair 32(2), pp. 99-114. (10.1177/1545968317753076)

2017

Chamberland, M., Gray, W., Descoteaux, M. and Jones, D. 2017. Interactive computation and visualization of structural connectomes in real-time. Presented at: CNI 2017: International Workshop on Connectomics in Neuroimaging, Quebec City, QC, Canada, 14 September 2017 Presented at Wu, G. et al. eds.Connectomics in NeuroImaging, Vol. 10511. Lecture Notes in Computer Science Cham, Switzerland: Springer Verlag pp. 35-41., (10.1007/978-3-319-67159-8_5)
Metzler-Baddeley, C., Foley, S., De Santis, S., Charron, C., Hampshire, A., Caeyenberghs, K. and Jones, D. 2017. Dynamics of white matter plasticity underlying working memory training: Multi-modal evidence from diffusion MRI and relaxometry. Journal of Cognitive Neuroscience 29(9), pp. 1509-1520. (10.1162/jocn_a_01127)
Dimitriadis, S., Drakesmith, M., Parker, G., Bells, S., Linden, D. and Jones, D. 2017. Improving the reliability of network metrics in structural brain networks by integrating different network weighting strategies into a single graph. Frontiers in Neuroscience 11, article number: 694. (10.3389/fnins.2017.00694)

2016

Christiansen, K., Metzler-Baddeley, C., Parker, G., Muhlert, N., Jones, D. K., Aggleton, J. P. and Vann, S. D. 2016. Topographic separation of fornical fibers associated with the anterior and posterior hippocampus in the human brain: an MRI-diffusion study. Brain and Behavior 7(1) (10.1002/brb3.604)
Hunt, B. A. E. et al. 2016. Relationships between cortical myeloarchitecture and electrophysiological networks. Proceedings of the National Academy of Sciences 113(47), pp. 13510-13515. (10.1073/pnas.1608587113)
Rok, B., Metzler-Baddeley, C., Arfan, I. M., Jones, D. and O'Sullivan, M. 2016. Global efficiency of structural networks mediates cognitive control in Mild Cognitive Impairment. Frontiers in Aging Neuroscience 8, article number: 292. (10.3389/fnagi.2016.00292)
De Santis, S., Assaf, Y., Jeurissen, B., Jones, D. K. and Roebroeck, A. 2016. T1 relaxometry of crossing fibres in the human brain. NeuroImage 141, pp. 133-142. (10.1016/j.neuroimage.2016.07.037)
Gómez, P. A. et al. 2016. Simultaneous parameter mapping, modality synthesis, and anatomical labeling of the brain with MR fingerprinting. Presented at: MICCAI 2016: nternational Conference on Medical Image Computing and Computer-Assisted Intervention, Athens, Greece, 17-21 October 2016 Presented at Ourselin, S. et al. eds.Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III, Vol. 9902. Lecture Notes in Computer Science Cham: Springer pp. 579-586., (10.1007/978-3-319-46726-9_67)
Drakesmith, M. et al. 2016. Volumetric, relaxometric and diffusometric correlates of psychotic experiences in a non-clinical sample of young adults. NeuroImage: Clinical 12, pp. 550-558. (10.1016/j.nicl.2016.09.002)
Steventon, J. et al. 2016. Longitudinal in vivo MRI in a Huntington's disease mouse model: global atrophy in the absence of white matter microstructural damage. Scientific Reports 6, article number: 32423. (10.1038/srep32423)
Ecker, C. et al. 2016. Relationship Between Cortical Gyrification, White Matter Connectivity, and Autism Spectrum Disorder. Cerebral Cortex 26(7), pp. 3297-3309. (10.1093/cercor/bhw098)
Keedwell, P. A., Doidge, A. N., Meyer, M., Lawrence, N., Lawrence, A. D. and Jones, D. K. 2016. Subgenual cingulum microstructure supports control of emotional conflict. Cerebral Cortex 26(6), pp. 2850-2862. (10.1093/cercor/bhw030)
Metzler-Baddeley, C., Caeyenberghs, K., Foley, S. and Jones, D. K. 2016. Longitudinal data on cortical thickness before and after working memory training. Data in Brief 7, pp. 1143-1147. (10.1016/j.dib.2016.03.090)
Steventon, J., Trueman, R. C., Rosser, A. E. and Jones, D. K. 2016. Robust MR-based approaches to quantifying white matter structure and structure/function alterations in Huntington's disease. Journal of Neuroscience Methods 265, pp. 2-12. (10.1016/j.jneumeth.2015.08.027)
Drakesmith, M. et al. 2016. Mediation of psychosis risk factors by white-matter microstructure in young adults with psychotic experiences. JAMA Psychiatry 73(4), pp. 396-406. (10.1001/jamapsychiatry.2015.3375)
Metzler-Baddeley, C., Caeyenberghs, K., Foley, S. and Jones, D. K. 2016. Task complexity and location specific changes of cortical thickness in executive and salience networks after working memory training. NeuroImage 130, pp. 48-62. (10.1016/j.neuroimage.2016.01.007)
Caeyenberghs, K., Metzler-Baddeley, C., Foley, S. and Jones, D. K. 2016. Dynamics of the human structural connectome underlying working memory training. Journal of Neuroscience 36(14), pp. 4056-4066. (10.1523/JNEUROSCI.1973-15.2016)
Dimitriadis, S., Linden, D. E. J., Singh, K. D. and Jones, D. K. 2016. A prolonged maturational time course in brain development for cortical processing of temporal modulations. Clinical Neurophysiology 127(2), pp. 994-998. (10.1016/j.clinph.2015.09.001)
De Santis, S., Jones, D. K. and Roebroeck, A. 2016. Including diffusion time dependence in the extra-axonal space improves in vivo estimates of axonal diameter and density in human white matter. NeuroImage 130, pp. 91-103. (10.1016/j.neuroimage.2016.01.047)
Bracht, T. K., Jones, D., Bells, S., Walther, S., Drakesmith, M. and Linden, D. 2016. Myelination of the right parahippocampal cingulum is associated with physical activity in young healthy adults. Brain Structure and Function 221(9), pp. 4537-48. (10.1007/s00429-016-1183-3)
Rees, D. A., Udiawar, M., Berlot, R., Jones, D. K. and O'Sullivan, M. J. 2016. White matter microstructure and cognitive function in young women with polycystic ovary syndrome. Journal of Clinical Endocrinology & Metabolism 101(1), pp. 314-323. (10.1210/jc.2015-2318)

2015

De Santis, S., Barazany, D., Jones, D. K. and Assaf, Y. 2015. Resolving relaxometry and diffusion properties within the same voxel in the presence of crossing fibres by combining inversion recovery and diffusion-weighted acquisitions. Magnetic Resonance in Medicine 75(1), pp. 372-380. (10.1002/mrm.25644)
Drakesmith, M., Caeyenberghs, K., Dutt, A., Lewis, G., David, A. S. and Jones, D. 2015. Overcoming the effects of false positives and threshold bias in graph theoretical analyses of neuroimaging data. NeuroImage 118, pp. 313-333. (10.1016/j.neuroimage.2015.05.011)
Hodgetts, C. J., Postans, M., Shine, J. P., Jones, D. K., Lawrence, A. D. and Graham, K. S. 2015. Dissociable roles of the inferior longitudinal fasciculus and fornix in face and place perception. eLife 4, article number: e07902. (10.7554/eLife.07902)
Caseras, X., Murphy, K., Lawrence, N. S., Fuentes-Claramonte, P., Watts, J., Jones, D. K. and Phillips, M. L. 2015. Emotion regulation deficits in euthymic bipolar I versus bipolar II disorder: a functional and diffusion-tensor imaging study. Bipolar Disorders 17(5), pp. 461-470. (10.1111/bdi.12292)
Drakesmith, M. et al. 2015. Schizophrenia-like topological changes in the structural connectome of individuals with subclinical psychotic experiences. Human Brain Mapping 36(7), pp. 2629-2643. (10.1002/hbm.22796)
Steventon, J., Harrison, D. J., Trueman, R. C., Rosser, A. E., Jones, D. K. and Brooks, S. P. 2015. In Vivo MRI evidence that neuropathology is attenuated by cognitive enrichment in the Yac128 Huntington's Disease mouse model. Journal of Huntington's Disease 4(2), pp. 149-160. (10.3233/JHD-150147)
Bracht, T., Doidge, A. N., Keedwell, P. A. and Jones, D. K. 2015. Hedonic tone is associated with left supero-lateral medial forebrain bundle microstructure. Psychological Medicine 45(4), pp. 865-874. (10.1017/S0033291714001949)
Dutt, A. et al. 2015. Exploring neural dysfunction in 'clinical high risk' for psychosis: A quantitative review of fMRI studies. Journal of Psychiatric Research 61, pp. 122-134. (10.1016/j.jpsychires.2014.08.018)
Cooper, M., Thapar, A. and Jones, D. K. 2015. ADHD severity is associated with white matter microstructure in the subgenual cingulum. NeuroImage: Clinical 7, pp. 653-660. (10.1016/j.nicl.2015.02.012)
Ray, N. J. et al. 2015. Cholinergic basal forebrain structure influences the reconfiguration of white matter connections to support residual memory in mild cognitive impairment. Journal of Neuroscience 35(2), pp. 739-747. (10.1523/JNEUROSCI.3617-14.2015)
Bracht, T., Jones, D. K., Müller, T. J., Wiest, R. and Walther, S. 2015. Limbic white matter microstructure plasticity reflects recovery from depression. Journal of Affective Disorders 170, pp. 143-149. (10.1016/j.jad.2014.08.031)
Caeyenberghs, K. et al. 2015. Hyperconnectivity in juvenile myoclonic epilepsy: A network analysis. NeuroImage: Clinical 7, pp. 98-104. (10.1016/j.nicl.2014.11.018)

2014

Cooper, M., Thapar, A. and Jones, D. K. 2014. White matter microstructure predicts autistic traits in attention-deficit/hyperactivity disorder. Journal of Autism and Developmental Disorders 44(11), pp. 2742-2754. (10.1007/s10803-014-2131-9)
Powell, R., Caeyenberghs, K., Thomas, R. H., Jones, J. D. K. and Hamandi, K. 2014. Hyperconnectivity in JME-a network analysis. Journal of Neurology, Neurosurgery & Psychiatry 85(10), pp. A2., article number: e4. (10.1136/jnnp-2014-309236.5)
Postans, M., Hodgetts, C. J., Mundy, M. E., Jones, D. K., Lawrence, A. D. and Graham, K. S. 2014. Individual variation in fornix microstructure and macrostructure is related to visual discrimination accuracy for scenes but not faces. Journal of Neuroscience 34(36), pp. 12121-12126. (10.1523/JNEUROSCI.0026-14.2014)
Chantiluke, K. et al. 2014. Disorder-specific functional abnormalities during temporal discounting in youth with Attention Deficit Hyperactivity Disorder (ADHD), Autism and comorbid ADHD and Autism. Psychiatry Research: Neuroimaging 223(2), pp. 113. (10.1016/j.pscychresns.2014.04.006)
Berlot, R., Metzler-Baddeley, C., Jones, D. K. and O'Sullivan, M. J. 2014. CSF contamination contributes to apparent microstructural alterations in mild cognitive impairment. NeuroImage 92, pp. 27-35. (10.1016/j.neuroimage.2014.01.031)
De Santis, S., Drakesmith, M., Bells, S., Assaf, Y. and Jones, D. K. 2014. Why diffusion tensor MRI does well only some of the time: Variance and covariance of white matter tissue microstructure attributes in the living human brain. NeuroImage 89, pp. 35-44. (10.1016/j.neuroimage.2013.12.003)
De Santis, S., Assaf, Y., Evans, C. J. and Jones, D. K. 2014. Improved precision in CHARMED assessment of white matter through sampling scheme optimization and model parsimony testing. Magnetic Resonance in Medicine 71(2), pp. 661-671. (10.1002/mrm.24717)
Metzler-Baddeley, C., Cantera, J., Coulthard, E., Rosser, A. E., Jones, D. K. and Baddeley, R. J. 2014. Improved executive function and callosal white matter microstructure after rhythmn exercise in Huntington's disease. Journal of Huntington's Disease 3(3), pp. 273-283. (10.3233/JHD-140113)

2013

Jones, D. K. and Linden, D. E. J. 2013. Abstracts of Presentations at the International Conference on Basic and Clinical Multimodal Imaging (BaCI), a Joint Conference of the International Society for Neuroimaging in Psychiatry (ISNIP), the International Society for Functional Source Imaging (ISFSI), the International Society for Bioelectromagnetism (ISBEM), the International Society for Brain Electromagnetic Topography (ISBET), and the EEG and Clinical Neuroscience Society (ECNS), in Geneva, Switzerland, September 5-8, 2013. Clinical EEG and Neuroscience 44(4), pp. E1. (10.1177/1550059413507209)
Assaf, Y. et al. 2013. The CONNECT project: Combining macro- and micro-structure. NeuroImage 80, pp. 273-282. (10.1016/j.neuroimage.2013.05.055)
De Santis, S., Evans, C. J. and Jones, D. K. 2013. RAPID: A routine assurance pipeline for imaging of diffusion. Magnetic Resonance in Medicine 70(2), pp. 490-496. (10.1002/mrm.24465)
Metzler-Baddeley, C., Baddeley, R. J., Jones, D. K., Aggleton, J. P. and O'Sullivan, M. 2013. Individual differences in fornix microstructure and body mass index. PLoS ONE 8(3), article number: e59849. (10.1371/journal.pone.0059849)
Jones, D. K., Christiansen, K. Y., Chapman, R. J. and Aggleton, J. 2013. Distinct subdivisions of the cingulum bundle revealed by diffusion MRI fibre tracking: Implications for europsychological investigations.. Neuropsychologia 51(1), pp. 67-78. (10.1016/j.neuropsychologia.2012.11.018)
Parker, G., Marshall, A. D., Rosin, P. L., Drage, N., Richmond, S. and Jones, D. K. 2013. A pitfall in the reconstruction of fibre ODFs using spherical deconvolution of diffusion MRI data. NeuroImage 65, pp. 433-448. (10.1016/j.neuroimage.2012.10.022)
Jeurissen, B., Leemans, A., Tournier, J., Jones, D. K. and Sijbers, J. 2013. Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging. Human Brain Mapping 34(11), pp. 2747-2766. (10.1002/hbm.22099)
De Santis, S., Assaf, Y., Bells, S., Deoni, S. C. and Jones, D. K. 2013. The CONNECT brain atlas of white matter microstructure [Conference Material]. Proceedings of the International Society for Magnetic Resonance Imaging 21, pp. 843-843.

2012

Metzler-Baddeley, C., Jones, D. K., Steventon, J., Westacott, L., Aggleton, J. P. and O'Sullivan, M. 2012. Cingulum microstructure predicts cognitive control in older age and mild cognitive impairment. Journal of Neuroscience 32(49), pp. 17612-17619. (10.1523/JNEUROSCI.3299-12.2012)
Metzler-Baddeley, C., Hunt, S., Jones, D. K., Leemans, A., Aggleton, J. P. and O'Sullivan, M. 2012. Temporal association tracts and the breakdown of episodic memory in mild cognitive impairment. Neurology 79(23), pp. 2233-2240. (10.1212/WNL.0b013e31827689e8)
Keedwell, P. A., Chapman, R. J., Christiansen, K. Y., Richardson, H., Evans, C. J. and Jones, D. K. 2012. Cingulum white matter in young women at risk of depression: The effect of family history and anhedonia. Biological Psychiatry 72(4), pp. 296-302. (10.1016/j.biopsych.2012.01.022)
Anderson, E. J., Jones, D. K., O'Gorman, R. L., Leemans, A., Catani, M. and Husain, M. 2012. Cortical network for gaze control in humans revealed using multimodal MRI. Cerebral Cortex 22(4), pp. 765-775. (10.1093/cercor/bhr110)
Metzler-Baddeley, C., O'Sullivan, M., Bells, S., Pasternak, O. and Jones, D. K. 2012. How and how not to correct for CSF-contamination in diffusion MRI. Neuroimage 59(2), pp. 1394-1403. (10.1016/j.neuroimage.2011.08.043)
Richmond, S. et al. 2012. Detailing patient specific modeling to aid clinical decision-making. Lecture Notes in Computational Vision and Biomechanics 5, pp. 105-131. (10.1007/978-94-007-4552-0_5)
Ben-Amitay, S., Jones, D. K. and Assaf, Y. 2012. Motion correction and registration of high b-value diffusion weighted images. Magnetic Resonance in Medicine 67(6), pp. 1694-1702. (10.1002/mrm.23186)
Vos, S. B., Jones, D. K., Jeurissen, B., Viergever, M. A. and Leemans, A. 2012. The influence of complex white matter architecture on the mean diffusivity in diffusion tensor MRI of the human brain. NeuroImage 59(3), pp. 2208-2216. (10.1016/j.neuroimage.2011.09.086)
Sundram, F. et al. 2012. White matter microstructural abnormalities in the frontal lobe of adults with antisocial personality disorder. Cortex 48(2), pp. 216-229. (10.1016/j.cortex.2011.06.005)
Ecker, C. et al. 2012. Brain Anatomy and Its Relationship to Behavior in Adults With Autism Spectrum Disorder: A Multicenter Magnetic Resonance Imaging Study. Archives of General Psychiatry 69(2), pp. 195-209. (10.1001/archgenpsychiatry.2011.1251)
De Santis, S., Assaf, Y. and Jones, D. K. 2012. Using the biophysical CHARMED model to elucidate the underpinnings of contrast in diffusional kurtosis analysis of diffusion-weighted MRI. Magnetic Resonance Materials in Physics, Biology and Medicine 25(4), pp. 267-276. (10.1007/s10334-011-0292-5)

2011

Metzler-Baddeley, C., Jones, D. K., Belaroussi, B., Aggleton, J. P. and O'Sullivan, M. 2011. Frontotemporal connections in episodic memory and aging: A diffusion MRI tractography study. The Journal of Neuroscience 31(37), pp. 13236-13245. (10.1523/JNEUROSCI.2317-11.2011)
Metzler-Baddeley, C., Jones, D. K., Aggleton, J. P. and O'Sullivan, M. 2011. The fornix in ageing and memory decline: a diffusion MRI tractography study. Journal of Neurology 258(S1), pp. 18-18. (10.1007/s00415-011-6026-9)
Edden, R. A. E. and Jones, D. K. 2011. Spatial and orientational heterogeneity in the statistical sensitivity of skeleton-based analyses of diffusion tensor MR imaging data. Journal of Neuroscience Methods 201(1), pp. 213-219. (10.1016/j.jneumeth.2011.07.025)
Jeurissen, B., Leemans, A., Jones, D. K., Tournier, J. and Sijbers, J. 2011. Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution. Human Brain Mapping 32(3), pp. 461-479. (10.1002/hbm.21032)
Vos, S. B., Jones, D. K., Viergever, M. A. and Leemans, A. 2011. Partial volume effect as a hidden covariate in DTI analyses. NeuroImage 55(4), pp. 1566-1576. (10.1016/j.neuroimage.2011.01.048)
Lombardo, M. V. et al. 2011. Specialization of right temporo-parietal junction for mentalizing and its relation to social impairments in autism. NeuroImage 56(3), pp. 1832-1838. (10.1016/j.neuroimage.2011.02.067)
Jones, D. K. and Leemans, A. 2011. Diffusion tensor imaging. In: Modo, M. and Bulte, J. W. M. eds. Magnetic Resonance Neuroimaging: Methods and Protocols., Vol. 711. Methods in Molecular Biology Vol. 2. Springer, pp. 127-144., (10.1007/978-1-61737-992-5_6)
Blain, C. R. V. et al. 2011. Differential corticospinal tract degeneration in homozygous 'D90A' SOD-1 ALS and sporadic ALS. Journal of Neurology, Neurosurgery & Psychiatry 82(8), pp. 843-849. (10.1136/jnnp.2010.236018)
Lai, M. et al. 2011. A Behavioral Comparison of Male and Female Adults with High Functioning Autism Spectrum Conditions. PLoS ONE 6(6), article number: e20835. (10.1371/journal.pone.0020835)
Jones, D. K. ed. 2011. Diffusion MRI: theory, methods and applications. Oxford: Oxford University Press.

2010

Muthukumaraswamy, S. D., Singh, K. D., Swettenham, J. B. and Jones, D. K. 2010. Visual gamma oscillations and evoked responses: Variability, repeatability and structural MRI correlates. NeuroImage 49(4), pp. 3349-3357. (10.1016/j.neuroimage.2009.11.045)
Bloemen, O. J. N. et al. 2010. White matter integrity in Asperger syndrome: a preliminary diffusion tensor magnetic resonance imaging study in adults. Autism Research 3(5), pp. 203-213. (10.1002/aur.146)
Jones, D. K. and Cercignani, M. 2010. Twenty-five pitfalls in the analysis of diffusion MRI data. NMR in Biomedicine 23(7), pp. 803-820. (10.1002/nbm.1543)
Jones, D. K. 2010. Challenges and limitations of quantifying brain connectivity in vivo with diffusion MRI. Imaging in Medicine 2(3), pp. 341-355. (10.2217/iim.10.21)
Lombardo, M. V. et al. 2010. Shared Neural Circuits for Mentalizing about the Self and Others. Journal of Cognitive Neuroscience 22(7), pp. 1623-1635. (10.1162/jocn.2009.21287)
Sundram, F. et al. 2010. White matter microstructure in 22q11 deletion syndrome: a pilot diffusion tensor imaging and voxel-based morphometry study of children and adolescents. Journal of Neurodevelopmental Disorders 2(2), pp. 77-92. (10.1007/s11689-010-9043-6)
Lombardo, M. V. et al. 2010. Atypical neural self-representation in autism. Brain 133(2), pp. 611-624. (10.1093/brain/awp306)
Jones, D. K. 2010. Precision and Accuracy in Diffusion Tensor Magnetic Resonance Imaging. Topics in Magnetic Resonance Imaging 21(2), pp. 87-99. (10.1097/RMR.0b013e31821e56ac)
Ecker, C. et al. 2010. Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach. NeuroImage 49(1), pp. 44-56. (10.1016/j.neuroimage.2009.08.024)

2009

Muthukumaraswamy, S. D., Edden, R. A. E., Jones, D. K., Swettenham, J. B. and Singh, K. D. 2009. Resting GABA concentration predicts peak gamma frequency and fMRI amplitude in response to visual stimulation in humans. Proceedings of the National Academy of Sciences of the United States of America 106(20), pp. 8356-8361. (10.1073/pnas.0900728106)
Leemans, A. and Jones, D. K. 2009. The B-matrix must be rotated when correcting for subject motion in DTI data. Magnetic Resonance in Medicine 61(6), pp. 1336-1349. (10.1002/mrm.21890)
Kanaan, R. A. A. et al. 2009. Microstructural Organization of Cerebellar Tracts in Schizophrenia. Biological Psychiatry 66(11), pp. 1067-1069. (10.1016/j.biopsych.2009.07.028)
Kontis, D. et al. 2009. Diffusion tensor MRI of the corpus callosum and cognitive function in adults born preterm. NeuroReport 20(4), pp. 424-428. (10.1097/WNR.0b013e328325a8f9)
Jones, D. K. 2009. Gaussian modeling of the diffusion signal. In: Johansen-Berg, H. and Behrens, T. E. J. eds. Diffusion MRI: From Quantitative Measurement to In vivo Neuroanatomy. Amsterdam: Elsevier, pp. 37-64., (10.1016/B978-0-12-374709-9.00003-1)
Jones, D. K. 2009. Fundamentals of diffusion MR imaging. In: Gillard, J. H., Waldman, A. D. and Barker, P. . B. eds. Clinical MR Neuroimaging: Physiological and Functional Techniques. 2nd ed.. Cambridge: Cambridge University Press, pp. 44-67.

2008

Deoni, S. C. L., Rutt, B. K., Arun, T., Pierpaoli, C. and Jones, D. K. 2008. Gleaning Multicomponent T-1 and T-2 Information From Steady-State Imaging Data. Magnetic Resonance in Medicine 60(6), pp. 1372-1387. (10.1002/mrm.21704)
Jones, D. K. 2008. Studying connections in the living human brain with diffusion MRI. Cortex 44(8), pp. 936-952. (10.1016/j.cortex.2008.05.002)
Jones, D. K. 2008. Tractography gone wild: Probabilistic fibre tracking using the wild bootstrap with diffusion tensor MRI. IEEE Transactions on Medical Imaging 27(9), pp. 1268-1274. (10.1109/TMI.2008.922191)
Catani, M. et al. 2008. Altered cerebellar feedback projections in Asperger syndrome. NeuroImage 41(4), pp. 1184-1191. (10.1016/j.neuroimage.2008.03.041)
Deoni, S. C. L., Williams, S. C., Jezzard, P., Suckling, J., Murphy, D. G. M. and Jones, D. K. 2008. Standardized Structural Magnetic Resonance Imaging in Multicenter Studies using Quantitative T1 and T2 Imaging at 1.5T. NeuroImage 40(2), pp. 662-671. (10.1016/j.neuroimage.2007.11.052)

2007

Shergill, S. S. et al. 2007. A diffusion tensor imaging study of fasciculi in schizophrenia. American Journal of Psychiatry 164(3), pp. 467-473. (10.1176/appi.ajp.164.3.467)
Deoni, S. C. L., Rutt, B. K. and Jones, D. K. 2007. Investigating the effect of exchange and multicomponentT1 relaxation on the short repetition time spoiled steady-state signal and the DESPOT1T1 quantification method. Journal of Magnetic Resonance Imaging 25(3), pp. 570-578. (10.1002/jmri.20836)
Blain, C. R. V. et al. 2007. A longitudinal study of diffusion tensor MRI in ALS. Amyotrophic Lateral Sclerosis 8(6), pp. 348-355. (10.1080/17482960701548139)
Catani, M., Allin, M. P. G., Husain, M., Pugliese, L., Mesulam, M. M., Murray, R. M. and Jones, D. K. 2007. Symmetries in human brain language pathways correlate with verbal recall. Proceedings of the National Academy of Sciences of the United States of America 104(43), pp. 17163-17168. (10.1073/pnas.0702116104)
Freidlin, R. Z., Ozarslan, E., Komlosh, M. E., Chang, L. C., Koay, G. C. and Jones, D. K. 2007. Parsimonious model selection for tissue segmentation and classification: study on simulated and experimental DTI data. IEEE Transactions on Medical Imaging 26(11), pp. 1576-1584. (10.1109/TMI.2007.907294)

2006

O'Gorman, R. L. and Jones, D. K. 2006. Just how much data need to be collected for reliable bootstrap DT-MRI?. Magnetic Resonance in Medicine 56(4), pp. 884-890. (10.1002/mrm.21014)
Jones, D. K. et al. 2006. Age effects on diffusion tensor magnetic resonance imaging tractography measures of frontal cortex connections in schizophrenia. Human Brain Mapping 27(3), pp. 230-238. (10.1002/hbm.20179)
Kanaan, R. A. et al. 2006. Tract-specific anisotropy measurements in diffusion tensor imaging. Psychiatry Research: Neuroimaging 146(1), pp. 73-82. (10.1016/j.pscychresns.2005.11.002)
Blain, C. R. V. et al. 2006. Measuring brain stem and cerebellar damage in parkinsonian syndromes using diffusion tensor MRI. Neurology 67(12), pp. 2199-2205. (10.1212/01.wnl.0000249307.59950.f8)
Turner, M. R., Williams, V., Jones, D. K. and Leigh, P. N. 2006. Neuroimaging in amyotrophic lateral sclerosis. In: Brown, R. H. J., Swash, M. and Pasinelli, P. eds. Amyotrophic Lateral Sclerosis (2nd ed.). Abingdon: Informa Healthcare, pp. 45-68.

2005

Jones, D. K. et al. 2005. A diffusion tensor magnetic resonance imaging study of frontal cortex connections in very-late-onset schizophrenia-like psychosis. American Journal of Geriatric Psychiatry 13(12), pp. 1092-1099. (10.1176/appi.ajgp.13.12.1092)
Jones, D. K., Symms, M. R., Cercignani, M. and Howard, R. J. 2005. The effect of filter size on the outcome of VBM analyses of DT-MRI data. NeuroImage 26(2), pp. 546-554. (10.1016/j.neuroimage.2005.02.013)
Jones, D. K., Travis, A. R., Eden, G., Pierpaoli, C. and Basser, P. J. 2005. PASTA: Pointwise assessment of streamline tractography attributes. Magnetic Resonance in Medicine 53(6), pp. 1462-1467. (10.1002/mrm.20484)
Jones, D. K. and Pierpaoli, C. 2005. Confidence mapping in diffusion tensor magnetic resonance imaging tractography using a bootstrap approach. Magnetic Resonance in Medicine 53(5), pp. 1143-1149. (10.1002/mrm.20466)
Chang, L., Jones, D. K. and Pierpaoli, C. 2005. RESTORE: Robust estimation of tensors by outlier rejection. Magnetic Resonance in Medicine 53(5), pp. 1088-1095. (10.1002/mrm.20426)
Catani, M., Jones, D. K. and Ffytche, D. H. 2005. Perisylvian language networks of the human brain. Annals of Neurology 57(1), pp. 8-16. (10.1002/ana.20319)
Daurignac, E. et al. 2005. Applications of Morphometric and Diffusion Tensor Magnetic Resonance Imaging to the Study of Brain Abnormalities in the Alcoholism Spectrum. Alcoholism: Clinical & Experimental Research 29(1), pp. 159-166. (10.1097/01.ALC.0000150891.72900.62)
Jones, D. K. et al. 2005. A diffusion tensor magnetic resonance imaging study of frontal cortex connections in very late-onset schizophrenia-like psychosis. American Journal of Geriatric Psychiatry 13(12), pp. 1092-1099.

2004

Jones, D. K. 2004. Fundamentals of diffusion MR imaging. In: Gillard, J. H., Waldman, A. D. and Barker, P. B. eds. Clinical MR Neuroimaging: Diffusion, Perfusion and Spectroscopy. Cambridge: Cambridge University Press, pp. 54-85., (10.1017/CBO9780511544958.006)
Jones, D. K. and Basser, P. J. 2004. "Squashing peanuts and smashing pumpkins": How noise distorts diffusion-weighted MR data. Magnetic Resonance in Medicine 52(5), pp. 979-993. (10.1002/mrm.20283)
Jones, D. K. 2004. The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: A Monte Carlo study. Magnetic Resonance in Medicine 51(4), pp. 807-815. (10.1002/mrm.20033)
O'Sullivan, M., Morris, R. G., Huckstep, B., Jones, D. K., Williams, S. C. R. and Markus, H. S. 2004. Diffusion tensor MRI correlates with executive dysfunction in patients with ischaemic leukoaraiosis. Journal of Neurology, Neurosurgery and Psychiatry 75(3), pp. 441-447. (10.1136/jnnp.2003.014910)

2003

Catani, M., Jones, D. K., Donato, R. and Ffytche, D. H. 2003. Occipito-temporal connections in the human brain. Brain 126(9), pp. 2093-2107. (10.1093/brain/awg203)
Jones, D. K. 2003. Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI. Magnetic Resonance in Medicine 49(1), pp. 7-12. (10.1002/mrm.10331)

2002

Horsfield, M. A. and Jones, D. K. 2002. Applications of diffusion-weighted and diffusion tensor MRI to white matter diseases - a review. NMR in Biomedicine 15(7-8), pp. 570-577. (10.1002/nbm.787)
Basser, P. J. and Jones, D. K. 2002. Diffusion-tensor MRI: theory, experimental design and data analysis - a technical review. NMR in Biomedicine 15(7-8), pp. 456-467. (10.1002/nbm.783)
Jones, D. K., Griffin, L. D., Alexander, D. C., Catani, M., Horsfield, M. A., Howard, R. and Williams, S. C. R. 2002. Spatial normalisation and averaging of diffusion tensor MRI data sets. NeuroImage 17(2), pp. 592-617. (10.1016/S1053-8119(02)91148-1)
Catani, M., Howard, R. J., Pajevic, S. and Jones, D. K. 2002. Virtual in vivo interactive dissection of white matter fasciculi in the human brain. Neuroimage 17(1), pp. 77-94. (10.1006/nimg.2002.1136)
Jones, D. K., Williams, S. C. R., Gasston, D., Horsfield, M. A., Simmons, A. and Howard, R. 2002. Isotropic resolution diffusion tensor imaging with whole brain acquisition in a clinically acceptable time. Human Brain Mapping 15(4), pp. 216-230. (10.1002/hbm.10018)
Taber, K. H., Pierpaoli, C., Rose, S. E., Rugg-Gunn, F. J., Chalk, J. B., Jones, D. K. and Hurley, R. A. 2002. The future for diffusion tensor imaging in neuropsychiatry. The Journal of Neuropsychiatry & Clinical Neurosciences 14(1), pp. 1-5.

2001

O'Sullivan, M., Summers, P. E., Jones, D. K., Jarosz, J. M., Williams, S. C. R. and Markus, H. S. 2001. Normal-appearing white matter in ischemic leukoaraiosis: A diffusion tensor MRI study. Neurology 57(12), pp. 2307-2310. (10.1212/WNL.57.12.2307)
Rose, S. E. et al. 2001. MRI based diffusion and perfusion predictive model to estimate stroke evolution. Magnetic Resonance Imaging 19(8), pp. 1043-1053. (10.1016/S0730-725X(01)00435-0)
O'Sullivan, M., Jones, D. K., Summers, P. E., Morris, R. G., Williams, S. C. R. and Markus, H. S. 2001. Evidence for cortical "disconnection" as a mechanism of age-related cognitive decline. Neurology 57(4), pp. 632-638. (10.1212/WNL.57.4.632)

2000

Jones, D. K. et al. 2000. Cluster analysis of diffusion tensor magnetic resonance images in human head injury. Neurosurgery 47(2), pp. 306-314.

1999

Wilcock, D. J., Jones, D. K., Horsfield, M. A. and Cherryman, G. R. 1999. Echoplanar MRI in patients with an acute stroke syndrome. British Journal of Radiology 72(861), pp. 914-921.
Ellis, C. M. et al. 1999. Diffusion tensor MRI assesses corticospinal tract damage in ALS. Neurology 53(5), pp. 1051-1058. (10.1212/WNL.53.5.1051)
Jones, D. K., Horsfield, M. A. and Simmons, A. 1999. Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging. Magnetic Resonance in Medicine 42(3), pp. 515-525. (10.1002/(SICI)1522-2594(199909)42:3<515::AID-MRM14>3.0.CO;2-Q)
Jones, D. K., Simmons, A., Williams, S. C. R. and Horsfield, M. A. 1999. Non-invasive assessment of axonal fiber connectivity in the human brain via diffusion tensor MRI. Magnetic Resonance in Medicine 42(1), pp. 37-41. (10.1002/(SICI)1522-2594(199907)42:1<37::AID-MRM7>3.0.CO;2-O)
Jones, D. K., Lythgoe, D., Horsfield, M. A., Simmons, A., Williams, S. C. R. and Markus, H. S. 1999. Characterization of white matter damage in ischemic leukoaraiosis with diffusion tensor MRI. Stroke 30(2), pp. 393-397. (10.1161/01.STR.30.2.393)
Simmons, A., Jones, D. K., Horsfield, M. A. and Williams, S. C. R. 1999. Application of diffusion tensor MRI to neurological segmentation. International Journal of Imaging Systems and Technology 10(3), pp. 273-286. (10.1002/(SICI)1098-1098(1999)10:3<273::AID-IMA8>3.0.CO;2-E)

1998

Horsfield, M. A., Larsson, H. B. W., Jones, D. K. and Gass, A. 1998. Diffusion magnetic resonance imaging in multiple sclerosis. Journal of Neurology, Neurosurgery and Psychiatry 64(S), pp. S80-S84.

Research topics and related papers

Exploitation of ultra-strong gradient (300 mT/m) MRI for diffusion MRI

Optimal design of MR acquisition schemes for quantitative assessment of tissue microstructure in white and grey matter

Applications of tissue microstructural imaging in typical and atypical neurodevelopment, ageing, and disease

Democratising MRI, including the development of diffusion MRI at low field (64 mT).

Combination of rapid relaxometric measurements with diffusion imaging data.

Integration of white matter structural assessment with other modalities (MEG, TMS, FMRI)

Funding

GRANT FUNDING

Current Live Grants

Title: “DEPICT: Detailed Exploration of Pathologies in Cortical Tissue” Type: Project Grant; Principal Investigator: Jones DK; Co-Investigators: Palombo M, Peall KJ. Start Date: April 2024; Duration: 36 months; Agency: Roche; Budget: £797,063; Time per week = 1 hour
Title: “TBI-REPORTER (UK-TBI REpository and data PORTal Enabling discoveRy) Type: Project Grant; Principal Investigator: Menon D; Co-Investigators: Squires E, Mouncey P, Sylvester R, Zetterberg H, Carson A, Brennan PM, Parker T, Goldstone A, Graham N, Bateman A, Wilson L, Jefferson E, Davenport E, Coles J, Stamatakis E, Newcombe V, Hutchinson P, Helmy A, Smielewski P, Thompson S, Sharp D, Hampshire A, Seemungal B, Wilson MH, Ghajari M, Rodgers C, Lecky F, Williams G, Correia M, Carpenter K, Kolias A, Ercole A, Needham E, Agarwal S, Allinson K, Stewart W, Lyall D, Russell E, Porter D, Lowe D, Lo T-Y, Jiwaji Z, Mitchell J, Sinclair A, Ahmed A, Zelaya F, Turner-Stokes L, Fear N, Wessely S, Williams S, Jones DK, Li L, Gallacher J, Bauermeister S, Rhodes J, Harrison D, Griffiths M, Strong A, Jewll S, Canty M, Hawthorne C, Evans J, Whitely W, Gray A, Heslegrave A. Start Date: October 2023; Duration: 60 months; Agency: MRC; Budget: £11,177,354; Time per week = 1.13 hour
Title: “Deep Microstructural Phenotyping of the Developing Brain”; Principal Investigator: Jones DK; Co Investigators: Blakemore S-J, Kievit R, van den Bree M. Start Date: 1^st July 2024; Duration: 96 months; Agency: Wellcome; Budget: £5,991,696; Time per week = 2 hour
Title: “(LMICI-2) Low-field MR for Infant Cerebral Imaging - HIC sites – Round 2” Type: Project Grant; Principal Investigator: Jones DK. Start Date: October 2022; Duration: 42 months; Funder: Bill and Melinda Gates Foundation; Budget: £173, 565; Time per week = 2 hour
Title: “A Training School to Democratise MRI: Empowering African Neuroscience and Clinical Diagnostics with Sustainable MRI”; Principal Investigator: Jones DK; Co-Investigators: Cercignani M, Griwold MA, Murphy K, Obungoloch J, Webb AG. Start Date: 1^st January 2024; Duration: 30 months; Agency: Science Card; Budget: £947,011; Time per week = 1 hour
Title: “Diffusion-relaxometry in prostate using ultra-strong gradients”; Type: Project Grant; Principal Investigator: Jones DK; Co-Investigator: Palombo, Tax C, Start Date: October 2023; Duration: 36 months; Agency: Siemens Healthcare Ltd; Budget: £ 55,000; Time per week = 1 hour
Title: “Diffusion-relaxometry in prostate using ultra-strong gradients”; Type: Project Grant; Principal Investigator: Jones DK; Co-Investigator: Palombo,Tax C, Start Date: October 2023; Duration: 36 months; Agency: Siemens Healthcare Ltd; Budget: £ 55,000; Time per week = 1 hour
Title: "Upgrading Our View of Growing Older: Mapping Brain Changes Across The Lifespan With Ultra High Field Multi-Spectral MRI" Type: Equipment Grant; Principal Investigator: Cercignani M; Co-Investigators: Jones DK, Murphy K, Germuska M, Kopanoglu E, Evans CJ, Gallichan D, Turner R; Start Date: Aug 2023; Duration: 12 months; Funder: BBSRC; Budget: £860,000; Time per week = 1.75 hour
Title: “Probing the Tissue Microenvironment In Vivo” Type: Project Grant; Principal Investigator: Jones DK. Start Date: Jul 2023; Duration: 48 months; Funder: GlaxoSmithKline; Budget: £131, 291; Time per week = 1 hour
Title: “MRI Neurocam - Equipment”; Type: Research Infrastructure Fund; Principal Investigator: Jones DK; Co-Investigators: Beltrachini L, Cercignani M, Evans J, Engel M, Gallichan D, Hiscox L, Metzler C, Palombo M, Slator P; Start date: May 2023; Duration: 18 months; Agency: Cardiff University; Budget: £446,115.
Title: “Making the Invisible Visible: A Multi-Scale Imaging Approach to Detect and Characterise Cortical Pathology” Principal Investigator: Jones DK; Co-Investigators: Alexander D, Gray WP, Palombo M, Schneider JE, Ma D, Griswold M, Thompson R, Hamandi K; Start Date: Jan 2023; Duration: 24 months; Agency: MRC; Budget: £ 1, 200, 000; Time per week = 2 hour
Title: “(LMICI-2) Low-field MR for Infant Cerebral Imaging - HIC sites” Type: Project Grant; Principal Investigator: Jones DK. Start Date: October 2022; Duration: 42 months; Funder: Bill and Melinda Gates Foundation; Budget: £173, 565; Time per week = 2 hour
Title: “Advanced Microstructure Characterisation of the Prostate with Ultra-Strong Gradient MRI”; Type: Pump Priming Grant; Principal Investigator: Foley K; Co-Investigators: Tax C, Kynaston, Jones DK; Start Date: Mar 2022; Duration: 24 months; Agency: Cancer Research Wales; Budget: £ 25,000; Time per week = 1 hour
Title: “Advanced Microstructure Characterisation of the Prostate with Ultra-Strong Gradient MRI”; Type: Project Grant; Principal Investigator: Foley K; Co-Investigators: Tax C, Kynaston, Jones DK; Start Date: Mar 2022; Duration: 18 months; Agency: Royal College of Radiologists; Budget: £10,000; Time per week = 1 hour
Title: “A multi-scale approach to characterizing developing executive functions” Principal Investigator: Donald KA; Co-Investigators: Amso D, Fifer WP, Jones DK, Gladstone M, Klepac-Ceraj V, Williams S, Alexander D, Gabard-Durnam L. Start Date: July 2021; Duration: 36 months; Agency: Wellcome LEAP; Time per week = 2 hours
Title: “Probing the tumour microenvironment in vivo”; Type: Project Grant; Principal Investigator: Jones DK. Start Date: Jan 2021; Duration: 48 months; Agency: GlaxoSmithKline; Budget: £122,941; Time per week = 1 hour
Title: “A data-driven approach to efficient and comprehensive assessment of tissue microstructure with multi-contrast MRI”; Type: Fellowship; Principal Investigator: Tax C; Co- Investigator: Jones DK. Start Date: November 2019; Duration: 70 months; Agency: Wellcome; Budget: £300,000; Time per week = 1 hour

Completed Grants

Title: “The Medical Imaging Data Centre (MIDaC): market research study 2”; Type: Impact award; Principal investigator: Beltrachini L; Co-Investigators: Murphy K, Jones DK, Griffin MJ, Fairhurst S, Cercignani M; Start Date: Oct 2022; Duration: 5 months; Agency: Wellcome Trust ISSF (through Cardiff University); Budget: £10,000.
Title: “The Medical Imaging Data Centre (MIDaC): organisational, operational, business, and data management plans”; Type: Impact Acceleration Award; Principal investigator: Beltrachini L; Co-Investigators: MacLeod D, Murphy K, Jones DK, Griffin MJ, Fairhurst S, Cercignani M; Start Date: Oct 2022; Duration: 6 months; Agency: STFC (through Cardiff University); Budget: £30,476.
Title: “The Medical Imaging Data Centre (MIDaC): Market research study”; Type: Impact Acceleration Award; Principal investigator: Beltrachini L; Co-Investigators: Murphy K, Gholam J, Jones DK, Griffin MJ; Start Date: Mar 2021; Duration: 4 months; Agency: STFC (through Cardiff University); Budget: £5,000.
Title: “Statistical reconstruction of histology data based on magnetic resonance imaging (HistoStat)”; Type: Project Grant; Principal Investigator: Beltrachini L; Co-Investigator: Jones DK; Start Date: May 2020; Duration: 18 months; Agency: BBSRC; Budget: £186,938
Title: “Microstructural Imaging Sharing Protocol (MISP)”; Type: Impact Acceleration Account; Principal Investigator: Beltrachini L; Co-Investigators: Papageorgiou A, Griffin MJ, Hargrave P, Aja-Fernandez S, Jones DK; Start Date: Sep 2019; Duration: 6 months; Agency: STFC (through Cardiff University); Budget: £95,763.
Title: “Image Clarity for a multi-site collection of MRI data aimed at linking brain imaging markers with biofluid markers (Protocol and Imaging Manual drafting and review)”; Type: Project Grant; Principal Investigator: Jones DK; Co-Investigators: Wise RG, Evans CJ, Rosser AE. Start Date: July 2019; Duration: 9 months; Agency: Cure Huntington’s Disease Initiative (CHDI) Foundation; Budget: £ 20,329
Title: “Water Exchange in the Vasculature of the Brain (WEX-BRAIN)”; Type: Project Grant; Principal Investigator: Jones DK; Start Date: May 2019; Duration: 36 months; Agency: EPSRC; Budget: £105,952
Title: “Mapping Neurodevelopmental Trajectories for Adult Psychiatric Disorder: ALSPAC-MRIII”; Type: Project Grant; Principal Investigator: David AS; Co-Investigators: Lewis G, Jones DK, Zammit S, Bulmore E, Reichenberg A, Boyd A, Kempton M, de Stavolo B; Start Date: October 2018; Duration: 48 months (currently extended to Dec 2023); Agency: MRC; Budget: £ 2,202,184
Title: “Microstructural Imaging Data Centre (MIDaC)”; Type: Impact grant; Principal investigator: Beltrachini L and Griffin M; Co-Investigators: Murphy K, Jones DK, Hargrave P, Evans J, Charron C, Papageorgiou A; Start date: Oct 2018; Duration: 5 months; Agency: STFC (Opportunities call; ST/S00209X/1); Budget: £91,655.
Title: “A device for delivering stem cell therapies to the human brain”; Type: Project Grant; Principal Investigator: Gray WP; Co-Investigators: Rosser A, Jones DK, Busse M; Start Date: May 2017; Duration: 11 months; Agency: Welsh Government; Budget: £74, 812
Title: “Multi-Scale and Multi-Modal Assessment of Coupling in the Healthy and Diseased Brain”: Type: Strategic Award; Principal Investigator: Jones DK; Co-Investigators: Assaf Y, Chambers C, Graham KS, Jezzard P, Linden D, Morris PG, Nutt D, Singh KD, Sumner P, Wise RG. Start Date: July 2016; Duration: 60 months (extended to June 2023); Agency: Wellcome Trust; Budget: £4,900,000
Title: “Brain Repair And Intracranial Neurotherapeutics – the Wales BRAIN Unit - Renewal”; Type: NISCHR Unit; Principal Investigator: Gray WG; Co-Investigators: Morgan P, Busse-Morris M, Peall K, Li M, Rosser A, Barde Y, Crunelli V, Jones DK, Lane E. Start Date: April 2018; Duration: 36 months; Agency: NISCHR;Budget: £727,000; Time per week = 1 hour;
Title: “Characterising brain network differences during scene perception and memory in APOE-e4 carriers: multi-modal imaging in ALSPAC”; Type: Project Grant; Principal Investigator: Graham KS; Co-Investigators: Lawrence AD, Jones DK, Wise RG, Kordas K, Zhang J, Mackay CM, Filippini, N, Saksida LM; Start Date: October 2016; Duration: 48 months; Agency: MRC; Budget: £1,756,395
Title: “The UK7T Network: developing the ultra-high field MRI platform for biomedical research” Type: Research Grant; Principal Investigator: Bowtell R; Co-Investigators: Miller K, Carpenter T, Rowe J, Williams G, Wise RG, Jones DK, Linden D, Muir K, Goense J, Muckli L, Francis S, Glover P, Gowland P, Morris P, Bajaj N, Clare S, Jezzard P. Start Date: 01/01/16; Duration: 36 months; Agency: MRC; Budget: £1,309,733
Title: “Expansion and Relocation of CUBRIC’”; Type: Structure Funds; Principal Investigator: Jones DK; Start Date: 01/08/15; Duration: 72 months; Agency: Welsh European Funding Office (WEFO); Budget: £4,578,475
Title: “Computational modelling and prediction of brain shift to improve surgical navigation”; Type: Industrial CASE Studentship; Start Date: 01/10/15; Duration: 36 months; Agency: EPSRC / Renishaw; Budget: £53,780
Title: “A detailed clinical-radiological correlation of disability in Multiple Sclerosis”; Type: Wellcome Trust ISSF Seedcorn Grant; Principal Investigator: Jones DK; Co-Investigators: Roberston N, Tallantyre E. Start Date: August 2015; Duration: 12 months; Agency: Wellcome Trust; Budget: £39,000
Title: “Hardware for Brain Games”; Type: Wellcome Trust ISSF Public Engagement Grant; Principal Investigator: Jones DK; Agency: Wellcome Trust; Budget: £5,810
Title: “Brain Repair And Intracranial Neurotherapeutics – the Wales BRAIN Unit”; Type: NISCHR Unit; Principal Investigator: Gray WG; Co-Investigators: Barde Y, Busse M, Clare L, Crunelli V, Dunnet SB, Edwards RT, Eslambolchilar P, Hamandi K, Hood K, Jones DK, Kerr M, Morgan BP, Palazon A, Pilz DT, Rees MI, Robertson N, Rosser A, Wardle M. Start Date: April 2015; Duration: 36 months; Agency: NISCHR; Budget: £1,499,910
Title:“OCEAN: One-stop-shop microstructure-sensitive perfusion/diffusion MRI: Application to vascular cognitive impairment”; Type: Project Grant; Principal Investigator: Frangi A; Co-Investigators: Ince P, Taylor Z, Wilkinson I, Venneri A, Parker G, Jones DK, Highley R, Kennerley A, Beltrachini L; Start Date: 01/01/15; Duration: 36 months; Agency: EPSRC; Budget: £1,768,525
Title: “Ultra-high field MRI: Advancing clinical neuroscientific research in experimental medicine”; Type: Clinical Infrastructure Grant; Principal Investigator: Wise RG; Co-Investigators: Jones DK, Singh KD, Linden D, Graham KS. Start Date: July 2016; Duration: 60 months; Agency: MRC; Budget: £6,700,929
Title: “Microstructural Imaging Suite”: Type: Grant; Principal Investigator: Singh PI; Co-Investigators: Jones DK, Wise RG, Linden D, Graham KS, Chambers C, Sumner P. Start Date: July 2014; Duration: 60 months; Agency: Wolfson Foundation; Budget: £1,000,000. Prof K Singh, Prof D Jones, Prof R Wise,
Title: “National Facility for In Vivo MR Imaging of Human Tissue Microstructure”: Type: Strategic Equipment Award; Principal Investigator: Jones DK; Co-Investigators: Alexander DC, Bowtell R, Cercignani M, Dell’Acqua F, Parker GP, Singh KD, Wise RG, Miller KL. Start Date: July 2014; Duration: 60 months; Agency: EPSRC; Budget: £3,000,000
Title: “Does Fluoxetine restore spatial learning and memory deficits in patients with mesial temporal lobe epilepsy?” Type: Project Grant. Principal Investigator: Gray W; Co-Investigators: Jones DK, Hamandi K; Start Date: March 2015; Duration: 24 months; Agency: Epilepsy Research UK; Budget: £148,522
Title: “Predicting the Individual’s Potential for Functional recovery in Multiple Sclerosis: a novel clinical and Neuroimaging strategy”: Type: Project Grant; Principal Investigator: Tomassini V; Co-Investigators: Jones DK, Robertson N Start Date: October 2013; Duration: 36 months; Agency: The MS Society; Budget: £263, 362
Title: “DEFINE - Defining Endophenotypes from Integrated Neurosciences”: Type: Strategic Award; Principal Investigator: Owen MJ; Co-Investigators: Harwood AJ, Linden D, Hall J, Jones DK, Li M, Aggleton JP; Start Date: July 2013; Duration: 60 months; Agency: The Wellcome Trust; Budget: £5,404, 683
Title: “Redefining Brain Network Analyses: From Macro to Micro and Hours to Minutes”: Type: International Exchange Programme; Principal Investigator: Jones DK; Co-Investigators: Chao Y-P; Start Date: January 2013; Duration: 24 months; Agency: The Royal Society / Taiwanese Science Council; Budget: £24,000
Title: “Dedicated Computing Infrastructure for CUBRIC”: Type: Wellcome Trust Multi-User Equipment Grant; Principal Investigator: Jones DK; Co-Investigators: Singh KD, Wise RG; Start Date: July 2012; Duration: 60 months; Agency: The Wellcome Trust; Budget: £644,000
Title: “Behavioural and neurophysiological effects of schizophrenia risk genes: a multi-locus, pathway-based approach”: Type: Project Grant; Principal Investigator: Linden D; Co-Investigators: O’Donovan M, Owen, Holmans P, Pocklington A, Zammit S, Hall J, Singh KD, Jones DK, Davey-Smith G; Start Date: 2013; Duration: 36 months; Agency: The Medical Research Council; Budget: £795,641
Title: “Tractometry”: Type: Wellcome Trust New Investigator Award; Principal Investigator: Jones DK; Start Date: May 2012; Duration: 84 months; Agency: The Wellcome Trust; Budget: £1,700,000
Title: “Structural brain correlates of an operationally defined high-risk phenotype for schizophrenia: a population-based study”: Type: Project Grant; Principal Investigator: David A; Co-Investigators: Blair P, Jones DK, Jones PB, Lewis G, McGuire P, Reichenberg A, Zammit S. Start Date: 01/04/10; Duration: 36 months; Agency: Medical Research Council, UK; Budget: £1,090,153
Title: “Advanced neuroimaging in BECCTS”; Type: Project Grant; Principal Investigator: Jones DK; Co-Investigators: Singh K, Wise RG, McGonigle DM, Muthukumaraswamy S; Start Date: 01/12/09; Duration: 24 months; Agency: The Waterloo Foundation; Budget: £110, 000.
Title: “Integrated Brain Imaging and Stimulation Project (IBIS)”: Type: Collaborative Industrial Research Project (CIRP); Principal Investigator: Chambers C; Co-Investigators: Singh K, Jones DK, Wise RG, Jiles D; Start Date: 01/01/2010; Duration: 36 months; Agency: Welsh Assembly Government; Budget: £349,885.
Title: “Characterizing the functional and anatomical integrity of visual attention-related processing in Alzheimer's disease and vascular cognitive impairment using magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) techniques”: Type: Project Grant; Principal Investigator: Tales A; Co-Investigators: Bayer T, Singh K, Jones DK, O’Sullivan M; Start Date: 1/10/10; Duration: 24 months (no cost extension to 31/12/13); Agency: BRACE; Budget: £164, 702
Title: “The role of white matter microstructure in normal cognition”: Type: Project Grant; Principal Investigator: Jones DK; Co-Investigator: Assaf Y; Start Date: 01/11/09; Duration: 12 months; Agency:The British Council; Budget: £29,951
Title: “Cerebral small vessel disease, blunted perfusion responses and adaptation to early Alzheimer’s disease’: Type: Pilot Grant; Principal Investigator: O’Sullivan M; Co-Investigators: Wise, RG, Bayer A, Jones DK; Duration: 18 months; Start Date: 01/08/09; Agency: Alzheimer’s Research Trust, UK; Budget: £26,950
Title: “CONNECT: Consortium Of Neuroimagers for Non-Invasive Exploration of Connectivity and Tracts”: Type: FP7 - FET Grant; Duration: 24 months; Start Date: 01/10/09; Agency: The European Council, FP7, UK; Budget: Î2,500,000.
Title: “Imaging the Maternal Brain Following Pregnancy”: Type: Pilot Grant; Principal Investigator: Jones DK. Duration: 12 months; Start Date: 01/08/08; Agency: The Waterloo Foundation, UK; Budget: £29,012
Title: “Cerebral Mechanisms Underlying Cognitive Dysfunction in Amyotrophic Lateral Sclerosis” (WT083477AIA): Type: Project Grant. Principal Investigator: Goldstein L. Co-Investigators: Jones DK, Landau S, Catani M, Leigh PN, Williams SCR; Start: 01/03/08; Duration: 36 months; Agency: Wellcome Trust, UK; Budget: £212,246
Title: “The Genetic and Environmental Determinants of Brain Development and Social Function: a Twin Study of Autistic Spectrum Disorder”: Type: Pilot Research Study: Principal Investigator: DGM Murphy; Co-Investigators: DK Jones, ET Bullmore, FG Happé, FV Rijsdijk, PF Bolton, M Catani, S Baron-Cohen, S Curran, SCR Williams; Start: 01/03/06; Duration: 24 months; Agency: Autism Speaks; Budget: £60,000.
Title: “Brain Anatomy and Connectivity: an Endophenotype in Autism Spectrum Disorders”: Type: Pilot Research Study: Principal Investigator: DGM Murphy; Co-Investigators: DK Jones DK, ET Bullmore, FG Happé, FV Rijsdijk, PF Bolton, M Catani, S Baron-Cohen, S Curran, SCR Williams; Start: 10/02/06; Duration: 24 months; Agency: Cure Autism Now Foundation (now merged with Autism Speaks, with head office here: Autism Speaks, 2 Park Avenue, 11th Floor, New York, NY 10016, USA); Budget: $120,000.
Title: “Brain Anatomy in Autism; a Multi-Centre Study” (G0400061): Type: Strategic Grant: Principal Investigator: DGM Murphy; Co-Investigators: S Baron-Cohen, PF Bolton, M Brammer, E Bullmore, S Curran, FG Happé, P Jezzard, DK Jones, SCR Williams; Start: 01/06/05; Duration: 48 months; Agency:Medical Research Council, UK; Budget: £641,000.
Title: “Imaging the Deaf Brain: Functional and Structural Studies Using MRI” (GR068607MA) Type: Project Grant. Principal Investigator: R Campbell. Co-Investigators: B Woll, MJ Brammer, AS David, M McSweeney, DK Jones; Start: 01/03/04; Duration: 36 months; Agency: Wellcome Trust, UK; Budget: £422,000.
Title: “Toward Robust Statistical Comparisons of White Matter Tracts in the Human Brain” (067437/Z/02/A): Type: Advanced Training Fellowship. Principal Investigator: DK Jones; Start: 01/08/03; Duration: 36 months; Agency: Wellcome Trust, UK; Budget: £290,000.

Undergraduate education

1993: B.Sc. (Hons) in Physics, (First Class). University of Nottingham, UK

Postgraduate education

1995: M.Sc. in Medical Physics. University of Leeds, UK

1995: Post Graduate Diploma of the Institute of Physical Sciences in Medicine

1998: Ph.D., "Diffusion Tensor Magnetic Resonance Imaging in the Human Central Nervous System", University of Leicester, UK

Honours and awards

• 2019 Member of the Order of the British Empire (MBE) for “services to medical imaging and the promotion of engagement in science.”

• 2019 James Bull Medal, British Society of Neuroradiologists.

• 2014 Editor’s Choice Award, Human Brain Mapping, for ‘Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion MRI’ Human Brain Mapping 34:2747-2766 (2013)

• Fellow of the Royal Society of Biology, 2013.

• Fellow of the ISMRM, 2012.

• ISMRM Outstanding Teacher Award, 2012.

• ISMRM Outstanding Teacher Award, 2011. (note: no award made in 2010)

• ISMRM Outstanding Teacher Award, 2009.

• ISMRM Outstanding Teacher Award, 2008.

• ISMRM Outstanding Teacher Award, 2007.

• ISMRM Art and Artefacts Award, 3rd place, 2007.

• ISMRM Outstanding Teacher Award, 2006.

• ISMRM Outstanding Teacher Award, 2005.

• Finalist in the ISMRM Young Investigator Awards (3 scientists in final), 2004.

• Fellows Award for Research Excellence (FARE), National Institutes of Health, 2003.

Professional memberships

International Society for Magnetic Resoannce in Medicine (1996- present)

Academic positions

2006 - present: Full Professor and Director of MRI, CUBRIC, Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, UK.

2003 – 2006: Senior Lecturer and Wellcome Advanced Fellow, Neuroimaging Research Dept., Institute of Psychiatry, Kings College London, UK

2002 – 2004: Visiting Research Fellow, National Institutes of Health (NIH), National Institute of Child Health and Human Development, Bethesda, Maryland, USA

2001 – 2002: Research Physicist, Neuroimaging Research Dept., Kings College, London, UK

1999 – 2001: Research Worker, Old Age Psychiatry, Institute of Psychiatry, London, UK

1995 – 1998: Research Assistant, Medical Physics Department, University of Leicester, UK

1993 – 1995: Medical Physicist, Division of Medical Physics, Leicester Royal Infirmary, UK

Committees and reviewing

Editorial Boards – International Journals

• Editorial Board, Magnetic Resonance in Medicine, 2016-2020

• Deputy Editor, Magnetic Resonance in Medicine, 2010 – 2016

• Editorial Board, Magnetic Resonance Materials in Physics, Biology and Medicine, 2009-

• Editorial Board, NeuroImage, 2005-2008.

International Committees / Bodies

• President, International Society for Magnetic Resonance in Medicine 2022

• Vice President, International Society for Magnetic Resonance in Medicine 2022

• Member, Australian National Imaging Facility Panel of International Scientific Reviewers, 2021-

• External consultant / Member of External Advisory Committee for Connectom 2.0 project, 2019-

• Member of ISMRM Awards Committee, 2019-

• Member of Siemens MR Executive Circle, 2014-

• Chair of ISMRM Annual Scientific Meeting, 2013-2014.

• Chair of ISMRM Education, 2012-2013.

• Expert Panel, European Commission (for FP7 grant applications), June 2011.

• Board of Trustees, International Society for Magnetic Resonance in Medicine (ISMRM), 2008–

• Chair of International Diffusion/Perfusion Study Group, 2008-2009

• Executive Board of International White Matter Study Group 2008-

• Chair of Publications Committee, ISMRM, 2010 –

• Chair of Audit Committee, ISMRM, 2008 –

• Educational Coordinator for Diffusion, Perfusion and FMRI, ISMRM 2006-2008.

• ISMRM Scientific Program and Education Committee, 2005-2008.

• Chair of International Diffusion/Perfusion Study Group, 2005-2006

• ISMRM Study Group Review Committee, 2005-2007.

• Scientific Review Panel for ISMRM, 2002-

• ISMRM Teaching Faculty, 2002-

National Funding Committees

• Wellcome Trust Research Enrichment Public Engagement Committee 2018 -

• Wellcome Trust Sir Henry Dale Fellowship Interview Committee 2016 - Dec 2020

• Wellcome Trust Expert Review Group (Cognitive Neuroscience and Mental Health) 2011- 2015

• Wellcome Trust Neuroscience and Mental Health Board Funding Committee 2008 – 2011

• EPSRC Peer Review College Member, 2003 –

National Bodies

• Member of MRC Portfolio Review Committee, 2020.

• Committee of the British Chapter of the ISMRM, 2008 – 2019.

• Committee member for post-Weatherall review of non-human primate use (commissioned by Wellcome Trust, MRC, BBSRC, NC3Rs)

• Originator / Co-ordinator of UK Diffusion Methods Interest Group, 2008-.

International Conference Organisation / Contribution

• Chair of Organizing Committee, ‘A Spin Through the History of Restricted Diffusion MRI’, Cardiff, UK, 2017.

• Chair of Organizing Committee, ESMRMB Lectures on Diffusion Imaging, Cardiff, UK, 2008.

• Education Co-ordinator, Annual Scientific Meeting of the ISMRM, Toronto, 2008

• Organizer of ISMRM 2006 Weekend Educational Course on Diffusion/Perfusion MRI.

• Organizing committee for ISMRM workshop on ‘Quantitative Diffusion MRI in the Human Brain’, Chateau Lake Louise, Banff, Canada, March 2005.

• Co-organizer of Bi-National Workshop on “MRI of Brain Connectivity and Microstructure”, Israel (funded by Office of Science and Technology and Israeli Ministry of Science)

Postgraduate research interests

My research is focussed on imaging of brain structure both at the macro- and micro-structural level. I am interested in how we may predict brain function from quantitative assessment of brain structure, particularly of the white matter which forms the connections between different brain regions. Without a detailed understanding of the connections and connectivity of the brain, we cannot fully understand how the brain functions. Yet this is an area largely overlooked in cognitive neuroscience. My research looks to fill these gaps in our knowledge. I employ a range of techniques including diffusion tensor imaging, relaxometry, volumetry and magnetization transfer imaging and combine these measures with assessment of brain function using both traditional cognitive tests and state-of-the-art neuroimaging methods to assess brain function, including functional MRI, magnetoencephalography (MEG) and transcranial magnetic stimulation (TMS).

Opportunities for research cover all parts of the spectrum from basic methods development (suited to the more technically oriented), through to pure applications-driven research applying these methods to the study of the healthy and diseased brain.

If you are interested in applying for a PhD, or for further information regarding my postgraduate research, please contact me directly (contact details available on the 'Overview' page), or submit a formal application.

Contact Details

JonesD27@cardiff.ac.uk
+44 29208 79412
Cardiff University Brain Research Imaging Centre, Maindy Road, Cardiff, CF24 4HQ

Partnership to uncover new insights into dementia

Professor Derek Jones (he/him) MBE

Overview

Publication

2025

2024

2023

2022