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Department
  • Engineering
  • School
  • Technology
  • Research Focus

    Keywords

  • Brain Machine Interfaces
  • Machine Learning
  • Dementia
  • Clinical Conditions

  • Alzheimer's disease
  • Dementia
  • Equipment & Techniques

  • Computational modelling
  • Magnetic resonance imaging (MRI)
  • Haemodynamic monitoring
  • Signal processing
  • Statistical analysis
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    Ms Sruthi Srinivasan

    (she/her/hers)
    University Position
    PhD student

    Interests

    My research focuses on the application of the non-invasive optical imaging method known as near-infrared spectroscopy (NIRS) to dementia populations. I am primarily focused on utilising high-density diffuse optical tomography (HD-DOT) data to build robust and interpretable machine learning models that can identify optical biomarkers of early-stage dementia. I also investigate blood oxygenation in the brain via functional connectivity and graph theory methods. Additionally, I work on image reconstruction methods to accurately localise the NIRS signal to the atrophied brain. While my primary focus is not on data collection, I am part of the investigative team for the Optical Neuroimaging and Cognition study, which explores brain oxygenation and neurometabolism across dementia subtypes.

    Key Publications

    Illuminating neurodegeneration: a future perspective on near-infrared spectroscopy in dementia research.

    DOI: http://doi.org/10.1117/1.NPh.10.2.023514
    Journal: Neurophotonics
    E-pub date: 1 Apr 2023
    Authors: S Srinivasan, E Butters, L Collins-Jones, L Su, J O'Brien, G Bale

    Publications

    A systematic review of near-infrared spectroscopy in dementia

    DOI: http://doi.org/10.1101/2022.11.23.22282361
    Journal:
    E-pub date: 1 Aug 2022
    Authors: E Butters, S Srinivasan, J O’Brien, L Su, G Bale