The human cortex possesses a reconfigurable dynamic network architecture that is disrupted in psychosis

Jenna M. Reinen, Oliver Y. Chén, R. Matthew Hutchison, B. T. Thomas Yeo, Kevin M. Anderson, Mert R. Sabuncu, Dost Öngür, Joshua L. Roffman, Jordan W. Smoller, Justin T. Baker and Avram J. Holmes ()
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Jenna M. Reinen: Yale University
Oliver Y. Chén: Yale University
R. Matthew Hutchison: Harvard University
B. T. Thomas Yeo: National University of Singapore
Kevin M. Anderson: Yale University
Mert R. Sabuncu: Harvard Medical School
Dost Öngür: McLean Hospital
Joshua L. Roffman: Harvard Medical School
Jordan W. Smoller: Harvard Medical School
Justin T. Baker: McLean Hospital
Avram J. Holmes: Yale University

Nature Communications, 2018, vol. 9, issue 1, 1-15

Abstract: Abstract Higher-order cognition emerges through the flexible interactions of large-scale brain networks, an aspect of temporal coordination that may be impaired in psychosis. Here, we map the dynamic functional architecture of the cerebral cortex in healthy young adults, leveraging this atlas of transient network configurations (states), to identify state- and network-specific disruptions in patients with schizophrenia and psychotic bipolar disorder. We demonstrate that dynamic connectivity profiles are reliable within participants, and can act as a fingerprint, identifying specific individuals within a larger group. Patients with psychotic illness exhibit intermittent disruptions within cortical networks previously associated with the disease, and the individual connectivity profiles within specific brain states predict the presence of active psychotic symptoms. Taken together, these results provide evidence for a reconfigurable dynamic architecture in the general population and suggest that prior reports of network disruptions in psychosis may reflect symptom-relevant transient abnormalities, rather than a time-invariant global deficit.

Date: 2018
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DOI: 10.1038/s41467-018-03462-y

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