The Relationship Between White Matter Microstructure and General Cognitive Ability in Patients With Schizophrenia and Healthy Participants in the ENIGMA Consortium.
Adult
Anisotropy
Brain
/ diagnostic imaging
Case-Control Studies
Cognition
/ physiology
Diffusion Tensor Imaging
Factor Analysis, Statistical
Female
Healthy Volunteers
Humans
Intelligence
Male
Middle Aged
Neural Pathways
/ diagnostic imaging
Principal Component Analysis
Schizophrenia
/ diagnostic imaging
Schizophrenic Psychology
Wechsler Scales
White Matter
/ diagnostic imaging
Cognition
ENIGMA
Intelligence
Meta-Analysis
Schizophrenia
White Matter
Journal
The American journal of psychiatry
ISSN: 1535-7228
Titre abrégé: Am J Psychiatry
Pays: United States
ID NLM: 0370512
Informations de publication
Date de publication:
01 06 2020
01 06 2020
Historique:
pubmed:
28
3
2020
medline:
23
7
2020
entrez:
28
3
2020
Statut:
ppublish
Résumé
Schizophrenia has recently been associated with widespread white matter microstructural abnormalities, but the functional effects of these abnormalities remain unclear. Widespread heterogeneity of results from studies published to date preclude any definitive characterization of the relationship between white matter and cognitive performance in schizophrenia. Given the relevance of deficits in cognitive function to predicting social and functional outcomes in schizophrenia, the authors carried out a meta-analysis of available data through the ENIGMA Consortium, using a common analysis pipeline, to elucidate the relationship between white matter microstructure and a measure of general cognitive performance, IQ, in patients with schizophrenia and healthy participants. The meta-analysis included 760 patients with schizophrenia and 957 healthy participants from 11 participating ENIGMA Consortium sites. For each site, principal component analysis was used to calculate both a global fractional anisotropy component (gFA) and a fractional anisotropy component for six long association tracts (LA-gFA) previously associated with cognition. Meta-analyses of regression results indicated that gFA accounted for a significant amount of variation in cognition in the full sample (effect size [Hedges' g]=0.27, CI=0.17-0.36), with similar effects sizes observed for both the patient (effect size=0.20, CI=0.05-0.35) and healthy participant groups (effect size=0.32, CI=0.18-0.45). Comparable patterns of association were also observed between LA-gFA and cognition for the full sample (effect size=0.28, CI=0.18-0.37), the patient group (effect size=0.23, CI=0.09-0.38), and the healthy participant group (effect size=0.31, CI=0.18-0.44). This study provides robust evidence that cognitive ability is associated with global structural connectivity, with higher fractional anisotropy associated with higher IQ. This association was independent of diagnosis; while schizophrenia patients tended to have lower fractional anisotropy and lower IQ than healthy participants, the comparable size of effect in each group suggested a more general, rather than disease-specific, pattern of association.
Identifiants
pubmed: 32212855
doi: 10.1176/appi.ajp.2019.19030225
pmc: PMC7938666
mid: NIHMS1671772
doi:
Types de publication
Journal Article
Meta-Analysis
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
537-547Subventions
Organisme : NIBIB NIH HHS
ID : P41 EB015922
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB015611
Pays : United States
Organisme : Medical Research Council
ID : G0700704
Pays : United Kingdom
Organisme : NIBIB NIH HHS
ID : U54 EB020403
Pays : United States
Organisme : NIH HHS
ID : S10 OD023495
Pays : United States
Organisme : NIH HHS
ID : S10 OD023696
Pays : United States
Organisme : Medical Research Council
ID : MR/K026992/1
Pays : United Kingdom
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