eLife (May 2022)

Non-rapid eye movement sleep and wake neurophysiology in schizophrenia

  • Nataliia Kozhemiako,
  • Jun Wang,
  • Chenguang Jiang,
  • Lei A Wang,
  • Guanchen Gai,
  • Kai Zou,
  • Zhe Wang,
  • Xiaoman Yu,
  • Lin Zhou,
  • Shen Li,
  • Zhenglin Guo,
  • Robert Law,
  • James Coleman,
  • Dimitrios Mylonas,
  • Lu Shen,
  • Guoqiang Wang,
  • Shuping Tan,
  • Shengying Qin,
  • Hailiang Huang,
  • Michael Murphy,
  • Robert Stickgold,
  • Dara Manoach,
  • Zhenhe Zhou,
  • Wei Zhu,
  • Mei-Hua Hal,
  • Shaun M Purcell,
  • Jen Q Pan

DOI
https://doi.org/10.7554/eLife.76211
Journal volume & issue
Vol. 11

Abstract

Read online

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.

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