Neurophysiologic Characterization of Resting State Connectivity Abnormalities in Schizophrenia Patients.

Abstract:

:Background: Patients with schizophrenia show abnormal spontaneous oscillatory activity in scalp-level electroencephalographic (EEG) responses across multiple frequency bands. While oscillations play an essential role in the transmission of information across neural networks, few studies have assessed the frequency-specific dynamics across cortical source networks at rest. Identification of the neural sources and their dynamic interactions may improve our understanding of core pathophysiologic abnormalities associated with the neuropsychiatric disorders. Methods: A novel multivector autoregressive modeling approach for assessing effective connectivity among cortical sources was developed and applied to resting-state EEG recordings obtained from n = 139 schizophrenia patients and n = 126 healthy comparison subjects. Results: Two primary abnormalities in resting-state networks were detected in schizophrenia patients. The first network involved the middle frontal and fusiform gyri and a region near the calcarine sulcus. The second network involved the cingulate gyrus and the Rolandic operculum (a region that includes the auditory cortex). Conclusions: Schizophrenia patients show widespread patterns of hyper-connectivity across a distributed network of the frontal, temporal, and occipital brain regions. Results highlight a novel approach for characterizing alterations in connectivity in the neuropsychiatric patient populations. Further mechanistic characterization of network functioning is needed to clarify the pathophysiology of neuropsychiatric and neurological diseases.

journal_name

Front Psychiatry

journal_title

Frontiers in psychiatry

authors

Koshiyama D,Miyakoshi M,Tanaka-Koshiyama K,Joshi YB,Molina JL,Sprock J,Braff DL,Light GA

doi

10.3389/fpsyt.2020.608154

subject

Has Abstract

pub_date

2020-11-27 00:00:00

pages

608154

issn

1664-0640

journal_volume

11

pub_type

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