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Investigating sleep spindle density and schizophrenia: A meta-analysis

Authors :
Dara S. Manoach
Matcheri S. Keshavan
Matthew Lai
Robert Stickgold
Rachal Hegde
Paulo Lizano
Deepthi Bannai
Sinead Kelly
Source :
Psychiatry Research. 307:114265
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

Sleep abnormalities are an early feature of schizophrenia (SZ) characterized by reductions in sleep spindles that have been associated with deficits in brain connectivity and cognitive function. This study investigated sleep spindle density (SSD) differences between SZ, first episode psychosis (FEP), and family high-risk (FHR) populations and matched healthy controls (HC) by investigating recent studies via a meta-analysis. We collected experimental, demographic, and methodological metrics from eligible studies across multiple online databases. 14 total studies survived the inclusion and exclusion criteria for a total of 337 patients and relatives and 339 HC. R-Studio was used to run the meta-analysis via the meta and metaphor packages. A heterogeneity score of I2 = 80% was calculated thus a random effects model was chosen. We report a large effect size for SSD in patients compared to controls. Furthermore, illness duration was significantly associated with SSD. Our next step to understanding sleep spindles would be to investigate SSD's use as a predictor for SZ or attempt to normalize SSD deficits as a therapeutic option.

Details

ISSN :
01651781
Volume :
307
Database :
OpenAIRE
Journal :
Psychiatry Research
Accession number :
edsair.doi.dedup.....a371b8d0ec9b1ac3880cf2b5d7c7403c
Full Text :
https://doi.org/10.1016/j.psychres.2021.114265