Dr Delshad Vaghari


I am a post-doctoral research associate at the Adaptive Brain Lab (Prof Zoe Kourtzi's Lab). My primary interest concerns how to leverage the use of machine learning to study neurodegenerative diseases. I use neuroimaging techniques such as electro- and magneto- encephalography (EEG/MEG), structural and functional magnetic resonance imaging (f/MRI), positron emission tomography (PET), etc to examine changes in the brain due to dementia. I develop machine-learning models for the early detection of Alzheimer's disease and other subtypes of dementia.

Research Focus


Machine Learning

Prognostic trajectories


Clinical conditions

Alzheimer's disease

Cognitive impairment



Computational modelling

Cross-sectional and cohort studies

Electroencephalography (EEG)

Magnetic resonance imaging (MRI)

Positron Emission Tomography (PET)


No collaborators listed

Associated News Items

    Key publications

    Delshad Vaghari, Ehsanollah Kabir, Richard N Henson (2022), “Late Combination shows that MEG adds to MRI in classifying MCI versus Controls” NeuroImage

    Delshad Vaghari, Ricardo Bruna, Laura E Hughes, David Nesbitt, Roni Tibon, James B Rowe, Fernando Maestu, Richard N Henson (2022), “A multi-site, multi-participant magnetoencephalography resting-state dataset to study dementia: The BioFIND dataset” NeuroImage



    Ricardo Bruņa, Delshad Vaghari, Andrea Greve, Elisa Cooper, Marius O Mada, Richard N Henson (2022), “Modified MRI anonymization (de-facing) for improved MEG coregistration” Bioengineering