ReviewBiological psychiatry2025
Sleep Spindle Abnormalities as Neurophysiological Biomarkers of Schizophrenia Spectrum Disorders: From Cellular Mechanisms and Neural Circuits to Clinical Implications.
Review in Biological psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Polysomnographic Parameters in Schizoaffective Disorder: A Systematic Review and Meta-Analysis.Alpha psychiatry · 2026Pooled it
- Sleep abnormalities in bipolar disorders across mood phases: A systematic review and meta-analysis.Sleep medicine reviews · 2025Pooled it
- Sleep Spindle Measures in Japanese Patients With Drug-Naïve Schizophrenia Using Standard Polysomnography Data: A Retrospective Pilot Study.Early intervention in psychiatry · 2026Article
- MFST-GCN: A Sleep Stage Classification Method Based on Multi-Feature Spatio-Temporal Graph Convolutional Network.Brain sciences · 2026Article
- Differences in sleep spindles and polysomnography in humans: a meta-analysis on the influence of age, sex, and cognitive ability.Frontiers in sleep · 2026Review
- Biophysical modeling of thalamocortical circuit dynamics: species-specific insights into neural synchrony, sleep spindles, and circuit mechanisms.Sleep advances : a journal of the Sleep Research Society · 2026Article
- Sleep and Mental Health: Unveiling the Critical Role of Sleep in Brain Function and Psychiatric Disorders.Biological psychiatry · 2025Article
- Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Although not included in current diagnostic criteria, sleep disturbances are common in patients with schizophrenia (SCZ) and significantly impact their cognitive function and clinical outcomes. Among sleep disturbances, abnormalities in sleep spindles-non-rapid eye movement thalamocortical oscillations essential for sleep stability and memory consolidation-have emerged as potential neurophysiological biomarkers of SCZ. Sleep spindle deficits, particularly reduced density and duration, are consistently observed across illness stages and correlate with cognitive impairments, including working memory and attentional deficits, in individuals with SCZ. Spindle abnormalities reflect disruptions in thalamocortical connectivity, especially within the thalamic reticular nucleus, and are linked to dysfunction in GABAergic (gamma-aminobutyric acidergic) and glutamatergic signaling. Genetic studies further indicate that sleep spindle characteristics are associated with SCZ risk variants, reinforcing their putative role as heritable biomarkers of the disorder. Despite strong evidence supporting the role of spindle deficits in the development and manifestation of SCZ, methodological inconsistencies and a lack of standardized assessment protocols limit their clinical application. In this review, we summarize the neurophysiological basis of spindle deficits in SCZ, discuss their cognitive and clinical implications, highlight the need for standardized spindle measurements, and evaluate emerging therapeutic strategies, including pharmacological modulation, transcranial stimulation, and closed-loop auditory stimulation. Although preliminary, the reviewed evidence suggests that future spindle-informed research could enhance diagnostic precision and potentially lead to the discovery of novel therapeutic strategies for SCZ.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.