Grey matter networks in people at increased familial risk for schizophrenia

Schizophrenia Research
Betty M TijmsS M Lawrie

Abstract

Grey matter brain networks are disrupted in schizophrenia, but it is still unclear at which point during the development of the illness these disruptions arise and whether these can be associated with behavioural predictors of schizophrenia. We investigated if single-subject grey matter networks were disrupted in a sample of people at familial risk of schizophrenia. Single-subject grey matter networks were extracted from structural MRI scans of 144 high risk subjects, 32 recent-onset patients and 36 healthy controls. The following network properties were calculated: size, connectivity density, degree, path length, clustering coefficient, betweenness centrality and small world properties. People at risk of schizophrenia showed decreased path length and clustering in mostly prefrontal and temporal areas. Within the high risk sample, the path length of the posterior cingulate cortex and the betweenness centrality of the left inferior frontal operculum explained 81% of the variance in schizotypal cognitions, which was previously shown to be the strongest behavioural predictor of schizophrenia in the study. In contrast, local grey matter volume measurements explained 48% of variance in schizotypy. The present results suggest that si...Continue Reading

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Citations

Nov 15, 2017·PloS One·Javier RaseroUNKNOWN Alzheimer’s Disease Neuroimaging Initiative
Jan 13, 2018·Multiple Sclerosis : Clinical and Laboratory Research·Carolina M RimkusBetty M Tijms
May 2, 2018·JAMA Psychiatry·Tushar DasAndré Schmidt
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Jul 2, 2020·Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging·Hiroyuki FujiiNoriko Sato
Mar 7, 2020·Schizophrenia Bulletin·Mélodie DeromeMartin Debbané
Jan 26, 2021·Progress in Neuro-psychopharmacology & Biological Psychiatry·Daouia I LarabiBranislava Ćurčić-Blake
Nov 25, 2019·Neuroimaging Clinics of North America·André Schmidt, Stefan Borgwardt
Apr 4, 2021·Journal of Clinical Medicine·Byung-Hoon KimJae-Jin Kim
Oct 15, 2021·Brain Imaging and Behavior·Yuxiang GuoMiaomiao Liu

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