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Eirini Messaritaki   BSc MSc PhD

Dr Eirini Messaritaki

(she/her)

BSc MSc PhD

Research Fellow

School of Psychology

Email
MessaritakiE2@cardiff.ac.uk
Telephone
+44 29208 74000 Ext 20076
Campuses
Cardiff University Brain Research Imaging Centre, Maindy Road, Cardiff, CF24 4HQ

Overview

I am a Research Fellow at the Cardiff University Brain Research Imaging Centre (CUBRIC).

I have a strong background in statistics and data analysis methods. I have 8 years experience applying such methods on genetic and cognitive data, as well as data from neuroimaging experiments (magnetic resonance imaging (MRI) and magnetoencephalography (MEG)). I have worked on studies such as the Welsh Advanced Neuroimaging Database (WAND) study, which involved data collection and analysis on over 170 healthy participants and psychosis patients, and included a longitudinal branch involving an intervention.

I currently work on a £1M MRC-funded study that aims to improve interventions on patients that suffer from drug-resistant epilepsy. I use statistical and artificial intelligence algorithms to improve lesion identification in MRI data from epilepsy patients. Within the study, I work in close collaboration with epileptologists, neurosurgeons and histology experts.

Publication

2023

2022

2021

2019

2018

2017

2008

2007

2006

2005

2004

2003

Erthyglau

Research

My research focuses on using statistical and data analysis techniques to quantify human brain function and its relation to brain structure, in health and disease. I am also very interested in the development of methods that can help treat pathological conditions and improve the lives of patients. I have received over £195,000 of personal research funding as a lead applicant.

Some of the most recent projects I have worked on are the following.

Making the Invisible Visible: a Multi-Scale Approach to Detect and Characterise Cortical Pathology: I work on a £1M MRC-funded project that aims to improve the detection of cortical lesions and to enhance the characterization of the pathology within those lesions (i.e., the presence of balloon cells, dysmorphic neurons, cortical dyslamination or other pathologies). I use advanced statistical methods and artificial intelligence algorithms on data acquired with state-of-the-art MRI protocols at the Cardiff University Brain Research Imaging Centre (CUBRIC) to provide a pre-op assessment of lesions present in the cortical tissue of patients suffering from drug-resistant epilepsy. The results of the statistical analysis are then compared with results from histology of the excised tissue. This work is done in close collaboration with epileptologists and neurosurgeons at Cardiff University, histology experts at the University of Leeds, and MRI-acquisition experts at Case Western Reserve University in the USA.

Multi-scale and multi-modal assessment of human brain structure and function: I was a Research Fellow for the Welsh Advanced Neuroimaging Database (WAND) study, which finished data collection in June 2023. We acquired data from over 170 healthy participants and psychosis patients. The study included an intervention branch. With the data analysis for the study still in progress, I work on linking cognitive and neuroimaging functional data to data that relate to brain structure (such as myelination, axonal size, etc.) 

Teaching

I have supervised 16 undergraduate and post-graduate students in their research projects at Cardiff University, either as lead or second supervisor.

I have delivered lectures and tutorials to MSc and BSc students at the School of Psychology at Cardiff University.

Biography

Employment:

2020-present: Research Fellow, Cardiff University, UK.

2015-2019: Postdoctoral Researcher, Cardiff Univesrity, UK.

2007-2014: IOP Publishing, Bristol, UK.

2006-2007: Senior Research Scholar, California Institute of Technology, USA.

2003-2006: Postdoctoral Researcher, University of WIsconsin-Milwaukee, USA.

Education:

BSc, Physics, University of Crete, Greece, 1997

PhD, Physics, University of Florida, USA, 2003.

MSc, Neuroimaging Methods and Applications, Cardiff University, UK, 2015.

Specialisms

  • Statistics
  • Neurosciences
  • Neuroimaging
  • Genetics
  • Cognition