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A multicenter study of ketamine effects on functional connectivity: Large scale network relationships, hubs and symptom mechanisms

Authors :
Leah M. Fleming
Daniel C. Javitt
Cameron S. Carter
Joshua T. Kantrowitz
Ragy R. Girgis
Lawrence S. Kegeles
John D. Ragland
Richard J. Maddock
Tyler A. Lesh
Costin Tanase
James Robinson
William Z. Potter
Marlene Carlson
Melanie M. Wall
Tse-Hwei Choo
Jack Grinband
Jeffrey Lieberman
John H. Krystal
Philip R. Corlett
Source :
NeuroImage: Clinical, Vol 22, Iss , Pp - (2019)
Publication Year :
2019
Publisher :
Elsevier, 2019.

Abstract

Ketamine is an uncompetitive N-methyl-d-aspartate (NMDA) glutamate receptor antagonist. It induces effects in healthy individuals that mimic symptoms associated with schizophrenia. We sought to root these experiences in altered brain function, specifically aberrant resting state functional connectivity (rsfMRI). In the present study, we acquired rsfMRI data under ketamine and placebo in a between-subjects design and analyzed seed-based measures of rsfMRI using large-scale networks, dorsolateral prefrontal cortex (DLPFC) and sub-nuclei of the thalamus. We found ketamine-induced alterations in rsfMRI connectivity similar to those seen in patients with schizophrenia, some changes that may be more comparable to early stages of schizophrenia, and other connectivity signatures seen in patients that ketamine did not recreate. We do not find any circuits from our regions of interest that correlates with positive symptoms of schizophrenia in our sample, although we find that DLPFC connectivity with ACC does correlate with a mood measure. These results provide support for ketamine's use as a model of certain biomarkers of schizophrenia, particularly for early or at-risk patients. Keywords: Ketamine, Functional connectivity, Psychosis, Resting state

Details

Language :
English
ISSN :
22131582
Volume :
22
Issue :
-
Database :
Directory of Open Access Journals
Journal :
NeuroImage: Clinical
Publication Type :
Academic Journal
Accession number :
edsdoj.11febe31fb8443d1b081e08d479a69f3
Document Type :
article
Full Text :
https://doi.org/10.1016/j.nicl.2019.101739