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Copy number deletion burden is associated with cognitive, structural, and resting-state network differences in patients with schizophrenia

Martin, Andrew K., Robinson, G., Reutens, D., Mowry, B. (2014) Copy number deletion burden is associated with cognitive, structural, and resting-state network differences in patients with schizophrenia. Behavioural Brain Research, 272 . pp. 324-334. ISSN 0166-4328. (doi:10.1016/j.bbr.2014.07.002) (KAR id:79711)

Abstract

Total burden of copy number deletions has been implicated in schizophrenia risk and has been associated with reduced cognitive functioning. The current study aims to replicate the cognitive findings and investigate regional grey and white matter volumes. Moreover, it will explore resting-state networks for correlations between functional connectivity and total deletion burden. All imaging differences will be investigated for correlations with cognitive differences. Seventy-eight patients with chronic schizophrenia, who formed a subset of a large genome-wide association study (GWAS), were assessed for intelligence, 34 had structural magnetic resonance imaging, 33 had resting-state functional magnetic resonance imaging, and 32 had diffusion tensor imaging (DTI). Total deletion burden was negatively associated with IQ performance and positively associated with regional volumes in the striatum bilaterally and in the right superior temporal gyrus and white-matter in the corpus callosum. Correlations were identified between deletion burden and both hyper and hypoconnectivity within the default-mode network and hypoconnectivity within the cognitive control network. The functional connectivity correlations with deletion burden were also correlated with the IQ differences identified. Total deletion burden affects regional volumes and resting-state functional connectivity in key brain networks in patients with schizophrenia. Moreover, effects of deletions on cognitive functioning in may be due to inefficiency of key brain networks as identified by dysconnectivity in resting-state networks.

Item Type: Article
DOI/Identification number: 10.1016/j.bbr.2014.07.002
Uncontrolled keywords: article; brain size; cognition; connectome; copy number variation; corpus callosum; corpus striatum; default mode network; diffusion tensor imaging; female; functional magnetic resonance imaging; gene deletion; genetic association; gray matter; human; human cell; image analysis; intelligence; intelligence quotient; major clinical study; male; nuclear magnetic resonance imaging; priority journal; resting state network; schizophrenia; Structural magnetic resonance imaging; superior temporal gyrus; voxel based morphometry; white matter; brain; brain mapping; copy number variation; genetics; intelligence test; nerve tract; pathology; pathophysiology; physiology; psychology; rest; schizophrenia, Brain; Brain Mapping; Diffusion Tensor Imaging; DNA Copy Number Variations; Female; Humans; Intelligence; Intelligence Tests; Magnetic Resonance Imaging; Male; Neural Pathways; Rest; Schizophrenia; Schizophrenic Psychology; Sequence Deletion
Divisions: Divisions > Division of Human and Social Sciences > School of Psychology
Depositing User: Andrew Martin
Date Deposited: 05 Feb 2020 10:31 UTC
Last Modified: 05 Nov 2024 12:44 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/79711 (The current URI for this page, for reference purposes)

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