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Research Focus

Keywords

  • ADHD
  • Brain Networks
  • Computational Modelling
  • Connectomics
  • Neurodevelopment
  • Cognition
  • Clinical Conditions

  • Autism
  • Attention deficit hyperactivity disorder
  • Equipment & Techniques

  • Computational modelling
  • Magnetic resonance imaging (MRI)
  • Electroencephalography (EEG)
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    Natalia Zdorovtsova

    University Position
    PhD student

    Interests

    My research focuses on establishing links between attributes of brain structure, brain function, and behaviour in children with neurodevelopmental conditions like ADHD and autism. I am interested in applying complex systems approaches - such as Connectomics and the analysis of neural dynamics - to brain data collected using Magnetic Resonance Imaging (MRI), electroencephalography (EEG), and Magnetoencephalography (MEG). I am currently working with the Centre for Attention, Learning, and Memory (CALM) cohort to investigate how cognitive and behavioural patterns commonly associated with neurodevelopmental conditions vary across a large group of children. I am doing this with two aims in mind: 1. To understand how brain differences manifest themselves across a "spectrum" of traits and abilities during childhood development. 2. To refine how we think about neurodevelopmental conditions and encourage a more holistic view of individuals' strengths, struggles, and unique needs.

    Key Publications

    Exploring neural heterogeneity in inattention and hyperactivity

    DOI: https://doi.org/10.1016/j.cortex.2023.04.001
    Journal: Cortex
    Year: 2023
    Authors: Natalia Zdorovtsova, Jonathan Jones, Danyal Akarca, Elia Benhamou, The CALM Team, Duncan Astle

    The entropy of resting-state neural dynamics is a marker of general cognitive ability in childhood

    DOI: https://doi.org/10.1101/2023.08.08.552448
    Journal: bioRxiv
    Year: 2023
    Authors: Natalia Zdorovtsova, Edward Young, Danyal Akarca, Alexander Anwyl-Irvine, The RED Team, The CALM Team, Duncan Astle

    Publications