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Elife DOI:10.7554/eLife.76211

Non-rapid eye movement sleep and wake neurophysiology in schizophrenia.

Publication TypeJournal Article
Year of Publication2022
AuthorsKozhemiako, N, Wang, J, Jiang, C, Wang, LA, Gai, G, Zou, K, Wang, Z, Yu, X, Zhou, L, Li, S, Guo, Z, Law, R, Coleman, J, Mylonas, D, Shen, L, Wang, G, Tan, S, Qin, S, Huang, H, Murphy, M, Stickgold, R, Manoach, D, Zhou, Z, Zhu, W, Hal, M-H, Purcell, SM, Pan, JQ
JournalElife
Volume11
Date Published2022 May 17
ISSN2050-084X
KeywordsElectroencephalography, Humans, Neurophysiology, Polysomnography, Schizophrenia, Sleep
Abstract

Motivated by the potential of objective neurophysiological markers to index thalamocortical function in patients with severe psychiatric illnesses, we comprehensively characterized key non-rapid eye movement (NREM) sleep parameters across multiple domains, their interdependencies, and their relationship to waking event-related potentials and symptom severity. In 72 schizophrenia (SCZ) patients and 58 controls, we confirmed a marked reduction in sleep spindle density in SCZ and extended these findings to show that fast and slow spindle properties were largely uncorrelated. We also describe a novel measure of slow oscillation and spindle interaction that was attenuated in SCZ. The main sleep findings were replicated in a demographically distinct sample, and a joint model, based on multiple NREM components, statistically predicted disease status in the replication cohort. Although also altered in patients, auditory event-related potentials elicited during wake were unrelated to NREM metrics. Consistent with a growing literature implicating thalamocortical dysfunction in SCZ, our characterization identifies independent NREM and wake EEG biomarkers that may index distinct aspects of SCZ pathophysiology and point to multiple neural mechanisms underlying disease heterogeneity. This study lays the groundwork for evaluating these neurophysiological markers, individually or in combination, to guide efforts at treatment and prevention as well as identifying individuals most likely to benefit from specific interventions.

DOI10.7554/eLife.76211
Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/35578829?dopt=Abstract

Alternate JournalElife
PubMed ID35578829
PubMed Central IDPMC9113745
Grant ListR01 MH115045-01 / MH / NIMH NIH HHS / United States
NS108874 / NS / NINDS NIH HHS / United States
R01MH118298 / MH / NIMH NIH HHS / United States
R03 MH108908 / MH / NIMH NIH HHS / United States
R01HL146339 / HL / NHLBI NIH HHS / United States
R01 HL146339 / HL / NHLBI NIH HHS / United States
R21 MD012738 / MD / NIMHD NIH HHS / United States
R01MH092638 / MH / NIMH NIH HHS / United States
UG3 MH125273 / MH / NIMH NIH HHS / United States
K23MH118565 / MH / NIMH NIH HHS / United States
R21 HL145492 / MD / NIMHD NIH HHS / United States
HB2020077 / / Top Talent Support Program for Young and Middle-aged People of Wuxi Health Committee /