Menu

EMAIL dv315@cam.ac.uk
Department
  • Psychology
    • School
  • Biological Sciences
    • Research Theme Adaptive Brain Computations Lifelong Brain Development and Brain Ageing Brains and Machines
    Research Focus

    Keywords

  • Machine Learning
  • Neuroimaging
  • EEG/MEG
  • MRI
  • Dementia
  • Neurodegeneration Disease

    • Clinical Conditions

  • Alzheimer's disease
  • Frontotemporal dementia
  • Parkinson's disease
  • Cognitive impairment
  • Lewy body dementia

    • Equipment & Techniques

  • Computational modelling
  • Neuropsychological testing
  • Magnetic resonance imaging (MRI)
  • Positron Emission Tomography (PET)

    • Back

    Dr Delshad Vaghari

    University Position
    Research Associate

    Interests

    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. I also work on the use of AI for trajectory modelling and prognosis.

    Key Publications

    Publications

    Modified MRI Anonymization (De-Facing) for Improved MEG Coregistration.

    DOI: http://doi.org/10.3390/bioengineering9100591
    Journal: Bioengineering (Basel)
    E-pub date: 21 Oct 2022
    Authors: R Bruña, D Vaghari, A Greve, E Cooper, MO Mada, RN Henson

    A multi-site, multi-participant magnetoencephalography resting-state dataset to study dementia: The BioFIND dataset.

    DOI: http://doi.org/10.1016/j.neuroimage.2022.119344
    Journal: Neuroimage
    E-pub date: 1 Sep 2022
    Authors: D Vaghari, R Bruna, LE Hughes, D Nesbitt, R Tibon, JB Rowe, F Maestu, RN Henson

    Modified MRI anonymization (de-facing) for improved MEG coregistration

    DOI: http://doi.org/10.1101/2022.04.20.488466
    Journal:
    E-pub date: 1 Aug 2022
    Authors: R Bruña, D Vaghari, A Greve, E Cooper, M Mada, R Henson

    Late combination shows that MEG adds to MRI in classifying MCI versus controls.

    DOI: http://doi.org/10.1016/j.neuroimage.2022.119054
    Journal: Neuroimage
    E-pub date: 15 May 2022
    Authors: D Vaghari, E Kabir, RN Henson

    Late Combination shows that MEG adds to MRI in classifying MCI versus Controls

    DOI: http://doi.org/10.1101/2021.05.20.21257522
    Journal:
    E-pub date: 1 Aug 2021
    Authors: D Vaghari, E Kabir, R Henson

    A multi-site, multi-participant magnetoencephalography resting-state dataset to study dementia: The BioFIND dataset

    DOI: http://doi.org/10.1101/2021.05.19.21257330
    Journal:
    E-pub date: 1 Aug 2021
    Authors: D Vaghari, R Bruna, L Hughes, D Nesbitt, R Tibon, J Rowe, F Maestu, R Henson