Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2022
Sex specific EEG signatures associated with cerebrospinal fluid biomarkers in mild cognitive impairment.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Chino-Vilca Brenda, Rodríguez-Rojo Inmaculada Concepción, Torres-Simón Lucía, Cuesta Pablo, Vendrell Anna Carnes, Piñol-Ripoll Gerard, Huerto Raquel, Tahan Nuria, Maestú Fernando
Аннотация
OBJECTIVE: The use of the electroencephalography (EEG) technique in Alzheimer's disease (AD) diagnosis is scarce due to a lack of validation of its neurophysiological information with current biomarkers. Therefore, our goal was to assess correlations between brain spectral power signatures and cerebrospinal fluid markers (CSF) such as amyloid-β 42 load (Aβ-42), total tau (t-tau), and phosphorylated tau (p-tau) in a mild cognitive impairment (MCI) population. Furthermore, given the AD sex-dependent vulnerability related to CSF biomarkers, we went a little forward looking for different electrophysiological correlations for males and females independently.
METHODS: A data-driven approach was employed to determine bidimensional spectral power signatures (space-frequency) that correlated (Spearman) significantly with any of the three CSF markers in 27 patients with MCI in any of the two sex-dependent subsamples (i.e., 12 females and 15 males).
RESULTS: Our main significant outcomes evidenced 1) a negative correlation of Aβ-42 load with central-posterior theta power and a negative correlation of t-tau with widespread alpha power within the male subsample, and 2) a significant negative correlation between t-tau and widespread beta power in the female subgroup.
CONCLUSIONS: There is a distinctive profile of correlations between resting-state electrophysiological signatures and CSF markers in male and female individuals.
SIGNIFICANCE: The combination of these two measures would be pointing out the need of a more personalized approach to promote early AD diagnosis.
METHODS: A data-driven approach was employed to determine bidimensional spectral power signatures (space-frequency) that correlated (Spearman) significantly with any of the three CSF markers in 27 patients with MCI in any of the two sex-dependent subsamples (i.e., 12 females and 15 males).
RESULTS: Our main significant outcomes evidenced 1) a negative correlation of Aβ-42 load with central-posterior theta power and a negative correlation of t-tau with widespread alpha power within the male subsample, and 2) a significant negative correlation between t-tau and widespread beta power in the female subgroup.
CONCLUSIONS: There is a distinctive profile of correlations between resting-state electrophysiological signatures and CSF markers in male and female individuals.
SIGNIFICANCE: The combination of these two measures would be pointing out the need of a more personalized approach to promote early AD diagnosis.