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.
BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities.
Griffanti L. et al, (2016), NeuroImage, 141, 191 - 205
Hand classification of fMRI ICA noise components.
Griffanti L. et al, (2016), Neuroimage
Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.
Alfaro-Almagro F. et al, (2018), Neuroimage, 166, 400 - 424
Exploring variability in basal ganglia connectivity with functional MRI in healthy ageing
Griffanti L. et al, (2018), Brain Imaging and Behavior
Author response: Long-term cerebral white and gray matter changes after preeclampsia.
Siepmann T. et al, (2017), Neurology, 89, 1309 - 1310
Associations between self-reported sleep quality and white matter in community-dwelling older adults: A prospective cohort study
Sexton CE. et al, (2017), Human Brain Mapping
Cortical involvement in early Parkinson's disease: evidence from multimodal MRI
Klein JC. et al, (2017), EUROPEAN JOURNAL OF NEUROLOGY, 24, 92 - 92