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Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026

EEG patterns and cognitive outcomes in chronic respiratory disorders: a systematic review.

СтатьяСистематический обзорНазвание и аннотация: Перевод в очереди
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Lagravinese Gianvito, Santacesaria Paola, Castellana Giorgio, Pasqualotto Federico, Scaramuzzi Giorgia Francesca, Manippa Valerio, Battista Petronilla, Carone Mauro, Taurisano Paolo

Аннотация

OBJECTIVE: To synthesize available evidence on electroencephalography (EEG) correlates of cognitive impairment in chronic respiratory disorders.

METHODS: This systematic review followed PRISMA guidelines and was preregistered on the Open Science Framework. PubMed/MEDLINE, Scopus, and Web of Science were searched through 14 March 2026. Eligible studies included adults with chronic respiratory disorders, EEG-based measures, and cognitive outcomes. Findings were synthesized narratively, and methodological quality was appraised using the Mixed Methods Appraisal Tool (MMAT), version 2018.

RESULTS: Forty-four studies met the inclusion criteria. Evidence was dominated by obstructive sleep apnea (OSA), with limited data on chronic obstructive pulmonary disease, asthma, and chronic respiratory failure/encephalopathy. Three recurrent patterns emerged: prolonged event-related latencies, especially P300 latency; alterations in sleep EEG microstructure, including spindle and slow-oscillation abnormalities; and resting-state EEG slowing. Across modalities, EEG abnormalities were most consistently associated with impairments in attention, executive functioning, working memory, memory consolidation, and broader cognitive efficiency.

CONCLUSIONS: EEG abnormalities are recurrent correlates of cognitive vulnerability in chronic respiratory disorders, particularly in OSA, although the evidence remains heterogeneous.

SIGNIFICANCE: EEG may offer clinically relevant markers of neurocognitive vulnerability in respiratory populations, but broader representation of non-OSA disorders and greater methodological standardization are needed.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты