Sidhant Chopra

Nov 6, 2024 | science.org | Yaxiong Shen |Zhenghao Li |Lucía Minarrieta |Sidhant Chopra

AbstractA primary aim of computational psychiatry is to establish predictive models linking individual differences in brain functioning with symptoms. In particular, cognitive impairments are transdiagnostic, treatment resistant, and associated with poor outcomes. Recent work suggests that thousands of participants may be necessary for the accurate and reliable prediction of cognition, questioning the utility of most patient collection efforts.

Aug 6, 2024 | biorxiv.org | Ashlea Segal |Robert Smith |Sidhant Chopra |Stuart Oldham

AbstractBackground: Interindividual variability in neurobiological and clinical characteristics in mental illness is often overlooked by classical group mean case control studies. Studies using normative modelling to infer person specific deviations of grey matter volume have indicated that group means are not representative of most individuals. The extent to which this variability is present in white matter morphometry, which is integral to brain function, remains unclear.

Apr 10, 2023 | biologicalpsychiatryjournal.com | Sidhant Chopra |Stuart Oldham |Alex Holmes |Ashlea Segal

Different regions of the brain’s grey matter are connected by a complex network of white-matter fibres, which are responsible for the propagation of action potentials and the transport of trophic and other molecules. In neurodegenerative disease, these connections constrain the way in which grey-matter volume (GMV) abnormalities progress. Here we investigated whether connectome architecture also shapes the spatial pattern of GMV abnormalities across multiple stages of psychotic illness.