Postdoctoral Research Assistant
My current research focuses on MRI data collection, organisation and analysis of two clinical cohorts currently being recruited in the Oxford Parkinson’s Disease Centre (OPDC) and the Stroke Prevention Research Unit (SPRU, OxVasc study).
I am particularly interested in structural and functional MRI.
Regarding structural MRI, I am currently involved in the development of methodological approaches for automated lesions segmentation and the assessment of the relationship between white matter hyperintensities, cardiovascular risk factors and cognition.
Regarding functional MRI I work on resting state functional connectivity and the development of methodological approaches for artefact removal and the evaluation of rfMRI as potential clinical biomarker through reproducibility assessments of MRI-derived measures.
I am involved in post-graduate teaching and supervision, and the development and support of the FSL image analysis software package.
Basal ganglia dysfunction in idiopathic REM sleep behaviour disorder parallels that in early Parkinson’s disease
Rolinski M. et al, (2016), Brain
Challenges in the reproducibility of clinical studies with resting state fMRI: An example in early Parkinson's disease.
Griffanti L. et al, (2016), Neuroimage, 124, 704 - 713
Validation of automated segmentation of white matter hyperintensities on MRI: Correlation with cognitive function after TIA and stroke
Griffanti L. et al, (2015), INTERNATIONAL JOURNAL OF STROKE, 10, 62 - 62
Association between macroscopic and microstructural white matter damage and cognition in vascular cognitive impairment
Zamboni G. et al, (2015), INTERNATIONAL JOURNAL OF STROKE, 10, 381 - 381
Effective artifact removal in resting state fMRI data improves detection of DMN functional connectivity alteration in Alzheimer's disease.
Griffanti L. et al, (2015), Front Hum Neurosci, 9
White Matter Imaging Correlates of Early Cognitive Impairment Detected by the Montreal Cognitive Assessment After Transient Ischemic Attack and Minor Stroke.
Zamboni G. et al, (2017), Stroke, 48, 1539 - 1547
Image Processing and Quality Control for the first 10,000 Brain Imaging Datasets from UK Biobank
Alfaro Almagro F. et al, (2017), biorxiv
Long-term cerebral white and gray matter changes after preeclampsia.
Siepmann T. et al, (2017), Neurology, 88, 1256 - 1264
Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults
Griffanti L. et al, (2017), Neuroimage
Hand classification of fMRI ICA noise components.
Griffanti L. et al, (2016), Neuroimage