Sleep spindles as a predictor of cognitive motor dissociation and recovery of consciousness after acute brain injury
- PMID: 40033114
- DOI: 10.1038/s41591-025-03578-x
Sleep spindles as a predictor of cognitive motor dissociation and recovery of consciousness after acute brain injury
Abstract
Cognitive motor dissociation (CMD) can improve the accuracy to predict recovery of behaviorally unresponsive patients with acute brain injury, but acquisition and analysis of task-based electroencephalography (EEG) are technically challenging. N2 sleep patterns, such as sleep spindles on EEG, have been associated with good outcomes, rely on similar thalamocortical networks as consciousness and could provide less technically challenging complementary outcome predictors. In this prospective observational cohort study of 226 acutely brain injured patients, well-formed sleep spindles (WFSS) were more likely present in those with CMD than in those without CMD, often preceding the detection of CMD. WFSS were associated with a shorter time to recovery of consciousness, and both CMD and WFSS independently predicted recovery of independence, controlling for age, admission neurological status and injury type. WFSS are seen in approximately every third behaviorally unresponsive patient after acute brain injury, frequently precede detection of CMD and are a promising complementary predictor for recovery of consciousness and functional independence.
© 2025. The Author(s), under exclusive licence to Springer Nature America, Inc.
Conflict of interest statement
Competing interests: The authors declare no competing interests. J. Claassen is a minority shareholder at iCE Neurosystems, but this amounts to less than $10,000 and less than 5% equity in the company. No technology from iCE Neurosystems was used for any of the study procedures, data acquisition or analysis presented here. None of the patients included in this study were managed using any technology from iCE Neurosystems.
References
- 
    - Kondziella, D. et al. European Academy of Neurology guideline on the diagnosis of coma and other disorders of consciousness. Eur. J. Neurol. 27, 739–740 (2020).
 
- 
    - Kondziella, D. et al. A precision medicine framework for classifying patients with disorders of consciousness: Advanced Classification of Consciousness Endotypes (ACCESS). Neurocrit. Care 35, 27–36 (2021). - PubMed
 
- 
    - Tsao, C. W. et al. Heart disease and stroke statistics—2023 update: a report from the American Heart Association. Circulation 147, e93–e621 (2023).
 
Publication types
MeSH terms
Grants and funding
- NS106014/U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS)
- LM011826/U.S. Department of Health & Human Services | NIH | U.S. National Library of Medicine (NLM)
- UL1TR001873/U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS)
LinkOut - more resources
- Full Text Sources
 
        