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Association of Working Memory With Distributed Executive Control Networks in Schizophrenia
Korey P Wylie1, Josette G Harris1, Debashis Ghosh1
1The Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, Colo. (Wylie, Harris, Olincy, Tregellas); the Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, Colo. (Ghosh); and the Research Service, Denver VA Medical Center, Eastern Colorado Health System, Denver (Tregellas).
Objective:
Working memory impairments represent a core cognitive deficit in schizophrenia, predictive of patients' daily functioning, and one that is unaffected by current treatments. To address this, working memory is included in the MATRICS Consensus Cognitive Battery (MCCB), a standardized cognitive battery designed to facilitate drug development targeting cognitive symptoms. However, the neurobiology underlying these deficits in MCCB working memory is currently unknown, mirroring the poor understanding in general of working memory deficits in schizophrenia.
Methods:
Twenty-eight participants with schizophrenia were administered working memory tests from the MCCB and examined with resting-state functional MRI. Intrinsic connectivity networks were estimated with independent component analysis. Each voxel's time series was correlated with each network time series, creating a feature vector for voxel-level connectivity analysis. This feature vector was associated with working memory by using the distance covariance statistic.
Results:
The neurobiology of MCCB working memory tests largely followed the multicomponent model of working memory but revealed unexpected differences. The dorsolateral prefrontal cortex was not associated with working memory. The central executive system was instead associated with delocalized right and left executive control networks. The phonologic loop within the multicomponent model, a subsystem involved in storing linguistic information, was associated with connectivity to the left temporoparietal junction and inferior frontal gyrus. However, connections to the language network did not predict working memory test performance.
Conclusions:
These results provide supporting evidence for the multicomponent model of working memory in terms of the biology underlying MCCB findings.
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