Bio

The current literature of neuroscience is lacking a unifying model of brain function. My goal is to use novel computational methods to improve our understanding of how different cognitive and emotional functions are hierarchically organized in the brain.

Institute Affiliations

Professional Education

  • Doctor of Philosophy, University of Cambridge (2021)
  • Bachelor of Science, University Of Sussex (2014)
  • Ph.D, University of Cambridge, Physiology, Development and Neuroscience (2021)
  • BSc. (hons), University of Sussex, Neuroscience with Cognitive Science (2014)

Stanford Advisors

Contact

  • Academic
    shaunq@stanford.edu
    University - Scholar Department: Psychiatry and Behavioral Sciences Position: Postdoctoral Scholar

Additional Info

All Publications

  • Higher-order brain regions show shifts in structural covariance in adolescent marmosets CEREBRAL CORTEX Quah, S. L., McIver, L., Bullmore, E. T., Roberts, A. C., Sawiak, S. J. 2022; 32 (18): 4128-4140

    Abstract

    Substantial progress has been made studying morphological changes in brain regions during adolescence, but less is known of network-level changes in their relationship. Here, we compare covariance networks constructed from the correlation of morphometric volumes across 135 brain regions of marmoset monkeys in early adolescence and adulthood. Substantial shifts are identified in the topology of structural covariance networks in the prefrontal cortex (PFC) and temporal lobe. PFC regions become more structurally differentiated and segregated within their own local network, hypothesized to reflect increased specialization after maturation. In contrast, temporal regions show increased inter-hemispheric covariances that may underlie the establishment of distributed networks. Regionally selective coupling of structural and maturational covariance is revealed, with relatively weak coupling in transmodal association areas. The latter may be a consequence of continued maturation within adulthood, but also environmental factors, for example, family size, affecting brain morphology. Advancing our understanding of how morphological relationships within higher-order brain areas mature in adolescence deepens our knowledge of the developing brain's organizing principles.

    View details for DOI 10.1093/cercor/bhab470

    View details for Web of Science ID 000853928500017

    View details for PubMedID 35029670

    View details for PubMedCentralID PMC9476623

https://orcid.org/0000-0002-8857-1320