![Sonya Foley](https://profiles-cardiff.imgix.net/attachments/2980?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Mrs Sonya Foley
Scientific Support Officer
- FoleyS2@cardiff.ac.uk
- +44 29206 88787
- Cardiff University Brain Research Imaging Centre, Maindy Road, Cardiff, CF24 4HQ
Overview
Responsibilities include MRI and MEG scanner support for service users from various groups, data analysis and student/staff training.
Publication
2024
- Kerestes, R. et al. 2024. Patterns of subregional cerebellar atrophy across epilepsy syndromes: An ENIGMA‐Epilepsy study. Epilepsia (10.1111/epi.17881)
2023
- Harrison, J. R. et al. 2023. Pathway-specific polygenic scores for Alzheimer's disease are associated with changes in brain structure in younger and older adults. Brain Communications 5(5), article number: fcad229. (10.1093/braincomms/fcad229)
- Messaritaki, E., Foley, S., Barawi, K., Ettinger, U. and Jones, D. K. 2023. Increased structural connectivity in high schizotypy. Network Neuroscience 7(1), pp. 213-233. (10.1162/netn_a_00279)
2022
- Mirza-Davies, A. et al. 2022. The impact of genetic risk for Alzheimer’s disease on the structural brain networks of young adults. Frontiers in Neuroscience 16, article number: 987677. (10.3389/fnins.2022.987677)
- Lopez, S. M. et al. 2022. Event‐based modeling in temporal lobe epilepsy demonstrates progressive atrophy from cross‐sectional data. Epilepsia 63(8), pp. 2081-2095. (10.1111/epi.17316)
- Larivière, S. et al. 2022. Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression. Nature Communications 13(1), article number: 4320. (10.1038/s41467-022-31730-5)
- Park, B. et al. 2022. Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy. Brain 145(4), pp. 1285-1298. (10.1093/brain/awab417)
- Altmann, A. et al. 2022. A systems-level analysis highlights microglial activation as a modifying factor in common epilepsies. Neuropathology and Applied Neurobiology 48(1), article number: e12758. (10.1111/nan.12758)
- Zwarte, S. M. C. et al. 2022. Intelligence, educational attainment, and brain structure in those at familial high-risk for schizophrenia or bipolar disorder. Human Brain Mapping 43(1), pp. 414-430. (10.1002/hbm.25206)
2021
- 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)
- 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)
2020
- Larivière, S. et al. 2020. Network-based atrophy modeling in the common epilepsies: a worldwide ENIGMA study. Science Advances 6(47), article number: eabc6457. (10.1126/sciadv.abc6457)
- Nunes, A. et al. 2020. Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group. Molecular Psychiatry 25, pp. 2130-2143. (10.1038/s41380-018-0228-9)
- Dima, D. C. et al. 2020. Electrophysiological network alterations in adults with copy number variants associated with high neurodevelopmental risk. Translational Psychiatry 10, article number: 324. (10.1038/s41398-020-00998-w)
- Hatton, S. N. et al. 2020. White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-epilepsy study. Brain 143(8), pp. 2454-2473. (10.1093/brain/awaa200)
- Han, L. K. M. et al. 2020. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group. Molecular Psychiatry 26, pp. 5124-5139. (10.1038/s41380-020-0754-0)
- Grasby, K. L. et al. 2020. The genetic architecture of the human cerebral cortex. Science 367(6484), article number: eaay6690. (10.1126/science.aay6690)
2019
- Favre, P. et al. 2019. Widespread white matter microstructural abnormalities in bipolar disorder: Evidence from mega- and meta-analyses across 3,033 individuals. Neuropsychopharmacology 44, pp. 2285-2293. (10.1038/s41386-019-0485-6)
- Favre, P. et al. 2019. Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals. Neuropsychopharmacology 44, pp. 2285-2293. (10.1038/s41386-019-0485-6)
2018
- Whittaker, J. R., Foley, S. F., Ackling, E., Murphy, K. and Caseras, X. 2018. The functional connectivity between the nucleus accumbens and the ventromedial prefrontal cortex as an endophenotype for bipolar disorder. Biological Psychiatry 84(11), pp. 803-809. (10.1016/j.biopsych.2018.07.023)
- Foley, S. F., Bracher-Smith, M., Tansey, K. E., Harrison, J., Parker, G. D. and Caseras, X. 2018. Fractional anisotropy of the uncinate fasciculus and cingulum in bipolar disorder type I, type II, their unaffected siblings and healthy controls. British Journal of Psychiatry 213(3), pp. 548-554. (10.1192/bjp.2018.101)
- Whelan, C. D. et al. 2018. Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study. Brain 141(2), pp. 391-408. (10.1093/brain/awx341)
2017
- 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)
- Foley, S. F. et al. 2017. Multimodal brain imaging reveals structural differences in Alzheimer's disease polygenic risk carriers: A study in healthy young adults. Biological Psychiatry 81(2), pp. 154-161. (10.1016/j.biopsych.2016.02.033)
- Zacharopoulos, G. et al. 2017. Nonlinear associations between human values and neuroanatomy. Social Neuroscience 12(6), pp. 673-684. (10.1080/17470919.2016.1229215)
2016
- 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)
- 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)
- Lancaster, T., Foley, S., Tansey, K. E., Linden, D. E. J. and Caseras, X. 2016. CACNA1C risk variant is associated with increased amygdala volume. European Archives of Psychiatry and Clinical Neuroscience 266(3), pp. 269-275. (10.1007/s00406-015-0609-x)
2015
- Caseras, X., Tansey, K. E., Foley, S. and Linden, D. 2015. Association between genetic risk scoring for schizophrenia and bipolar disorder with regional subcortical volumes. Translational Psychiatry 5, article number: e692. (10.1038/tp.2015.195)
Articles
- Kerestes, R. et al. 2024. Patterns of subregional cerebellar atrophy across epilepsy syndromes: An ENIGMA‐Epilepsy study. Epilepsia (10.1111/epi.17881)
- Harrison, J. R. et al. 2023. Pathway-specific polygenic scores for Alzheimer's disease are associated with changes in brain structure in younger and older adults. Brain Communications 5(5), article number: fcad229. (10.1093/braincomms/fcad229)
- Messaritaki, E., Foley, S., Barawi, K., Ettinger, U. and Jones, D. K. 2023. Increased structural connectivity in high schizotypy. Network Neuroscience 7(1), pp. 213-233. (10.1162/netn_a_00279)
- Mirza-Davies, A. et al. 2022. The impact of genetic risk for Alzheimer’s disease on the structural brain networks of young adults. Frontiers in Neuroscience 16, article number: 987677. (10.3389/fnins.2022.987677)
- Lopez, S. M. et al. 2022. Event‐based modeling in temporal lobe epilepsy demonstrates progressive atrophy from cross‐sectional data. Epilepsia 63(8), pp. 2081-2095. (10.1111/epi.17316)
- Larivière, S. et al. 2022. Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression. Nature Communications 13(1), article number: 4320. (10.1038/s41467-022-31730-5)
- Park, B. et al. 2022. Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy. Brain 145(4), pp. 1285-1298. (10.1093/brain/awab417)
- Altmann, A. et al. 2022. A systems-level analysis highlights microglial activation as a modifying factor in common epilepsies. Neuropathology and Applied Neurobiology 48(1), article number: e12758. (10.1111/nan.12758)
- Zwarte, S. M. C. et al. 2022. Intelligence, educational attainment, and brain structure in those at familial high-risk for schizophrenia or bipolar disorder. Human Brain Mapping 43(1), pp. 414-430. (10.1002/hbm.25206)
- 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)
- 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)
- Larivière, S. et al. 2020. Network-based atrophy modeling in the common epilepsies: a worldwide ENIGMA study. Science Advances 6(47), article number: eabc6457. (10.1126/sciadv.abc6457)
- Nunes, A. et al. 2020. Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group. Molecular Psychiatry 25, pp. 2130-2143. (10.1038/s41380-018-0228-9)
- Dima, D. C. et al. 2020. Electrophysiological network alterations in adults with copy number variants associated with high neurodevelopmental risk. Translational Psychiatry 10, article number: 324. (10.1038/s41398-020-00998-w)
- Hatton, S. N. et al. 2020. White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-epilepsy study. Brain 143(8), pp. 2454-2473. (10.1093/brain/awaa200)
- Han, L. K. M. et al. 2020. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group. Molecular Psychiatry 26, pp. 5124-5139. (10.1038/s41380-020-0754-0)
- Grasby, K. L. et al. 2020. The genetic architecture of the human cerebral cortex. Science 367(6484), article number: eaay6690. (10.1126/science.aay6690)
- Favre, P. et al. 2019. Widespread white matter microstructural abnormalities in bipolar disorder: Evidence from mega- and meta-analyses across 3,033 individuals. Neuropsychopharmacology 44, pp. 2285-2293. (10.1038/s41386-019-0485-6)
- Favre, P. et al. 2019. Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals. Neuropsychopharmacology 44, pp. 2285-2293. (10.1038/s41386-019-0485-6)
- Whittaker, J. R., Foley, S. F., Ackling, E., Murphy, K. and Caseras, X. 2018. The functional connectivity between the nucleus accumbens and the ventromedial prefrontal cortex as an endophenotype for bipolar disorder. Biological Psychiatry 84(11), pp. 803-809. (10.1016/j.biopsych.2018.07.023)
- Foley, S. F., Bracher-Smith, M., Tansey, K. E., Harrison, J., Parker, G. D. and Caseras, X. 2018. Fractional anisotropy of the uncinate fasciculus and cingulum in bipolar disorder type I, type II, their unaffected siblings and healthy controls. British Journal of Psychiatry 213(3), pp. 548-554. (10.1192/bjp.2018.101)
- Whelan, C. D. et al. 2018. Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study. Brain 141(2), pp. 391-408. (10.1093/brain/awx341)
- 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)
- Foley, S. F. et al. 2017. Multimodal brain imaging reveals structural differences in Alzheimer's disease polygenic risk carriers: A study in healthy young adults. Biological Psychiatry 81(2), pp. 154-161. (10.1016/j.biopsych.2016.02.033)
- Zacharopoulos, G. et al. 2017. Nonlinear associations between human values and neuroanatomy. Social Neuroscience 12(6), pp. 673-684. (10.1080/17470919.2016.1229215)
- 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)
- 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)
- Lancaster, T., Foley, S., Tansey, K. E., Linden, D. E. J. and Caseras, X. 2016. CACNA1C risk variant is associated with increased amygdala volume. European Archives of Psychiatry and Clinical Neuroscience 266(3), pp. 269-275. (10.1007/s00406-015-0609-x)
- Caseras, X., Tansey, K. E., Foley, S. and Linden, D. 2015. Association between genetic risk scoring for schizophrenia and bipolar disorder with regional subcortical volumes. Translational Psychiatry 5, article number: e692. (10.1038/tp.2015.195)