Research Focus


  • 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


    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

    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

    Journal: bioRxiv
    Year: 2023
    Authors: Natalia Zdorovtsova, Edward Young, Danyal Akarca, Alexander Anwyl-Irvine, The RED Team, The CALM Team, Duncan Astle