Ashlea Segal

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.

Nov 30, 2023 | thetranslationalscientist.com | Ashlea Segal

To date, most mental health research has relied on comparing averages from groups of people with and without mental illness. This approach reveals the brain changes that commonly occur in those with a mental disorder, but tells us nothing about individual people. For instance, if I were to tell you that the average height of the Australian population is 1.7m, it would not give you much information about how tall I am.

Nov 21, 2023 | themedicinemaker.com | Ashlea Segal

To date, most mental health research has relied on comparing averages from groups of people with and without mental illness. This approach reveals the brain changes that commonly occur in those with a mental disorder, but tells us nothing about individual people. For instance, if I were to tell you that the average height of the Australian population is 1.7m, it would not give you much information about how tall I am.

Aug 14, 2023 | nature.com | Ashlea Segal |Barbara Franke |Lars T. Westlye |Ole A. Andreassen |Andrew Zalesky |Christopher G Davey | +7 more

AbstractThe substantial individual heterogeneity that characterizes people with mental illness is often ignored by classical case–control research, which relies on group mean comparisons.

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.