Dr Mark Bastin
Reader
- Centre for Clinical Brain Sciences
- Edinburgh Imaging
Contact details
- Tel: 0131 537 2511
- Email: Mark.Bastin@ed.ac.uk
Research summary
My research uses diffusion and structural MRI to investigate the connectivity of cerebral white matter, the brain’s wiring, and its relationship to cognitive ability in both health and disease.
Current areas of interest include normal ageing, preterm birth, motor neurone disease, MS, schizophrenia and bipolar disorder.
Collaborations stretch across the University and include psychologists, psychiatrists, neurologists, neonatologist and informaticians.
Research aims and areas of interest
My primary research interest is in the development of MRI acquisition methods and image processing techniques and their application to the study of white matter in the brain. Specific areas of interest include:
- Diffusion magnetic resonance imaging and tractography
- Magnetization transfer magnetic resonance imaging
- Quantitative spin-lattice relaxation (T1) measurement
- Application to normal ageing, preterm birth, brain tumours, MND, MS, schizophrenia and bipolar disorder
Affiliated research centres
-
Early life predictors of late life cerebral small vessel disease in four prospective cohort studies
In:
Brain, vol. 144
DOI: https://doi.org/10.1093/brain/awab331
Research output: Contribution to Journal › Article (Published) -
DNA methylation in relation to gestational age and brain dysmaturation in preterm infants
In:
Brain Communications
Research output: Contribution to Journal › Article (Accepted/In press) -
DNA Methylation and Protein Markers of Chronic Inflammation and Their Associations With Brain and Cognitive Aging
In:
Neurology, pp. 10.1212/WNL.0000000000012997
DOI: https://doi.org/10.1212/WNL.0000000000012997
Research output: Contribution to Journal › Article (E-pub ahead of print) -
MRI-derived g-ratio and lesion severity in newly diagnosed multiple sclerosis
In:
Brain Communications
DOI: https://doi.org/10.1093/braincomms/fcab249
Research output: Contribution to Journal › Article (Published) -
Language function following preterm birth: prediction using machine learning
In:
Pediatric Research
DOI: https://doi.org/10.1038/s41390-021-01779-x
Research output: Contribution to Journal › Article (Published)