Sex specific EEG signatures associated with cerebrospinal fluid biomarkers in mild cognitive impairment. (October 2022)

• Record Type: Journal Article
• Authors: Chino-Vilca, Brenda; Rodríguez-Rojo, Inmaculada Concepción; Torres-Simón, Lucía; Cuesta, Pablo; Vendrell, Anna Carnes; Piñol-Ripoll, Gerard; Huerto, Raquel; Tahan, Nuria; Maestú, Fernando
• Is Part Of: Clinical neurophysiology. Volume 142(2022)
• Page Start: 190
• Page End: 198
• Publication Date: 2022-10
• Subjects: Mild cognitive impairment -- Cerebrospinal fluid -- Biomarkers electroencephalography -- Brain oscillations -- Neuropsychology; AD Alzheimer's Disease -- CSF Cerebrospinal fluid -- MCI Mild Cognitive Impairment -- AB Amyloid B -- MMSE Mini-Mental State Examination -- MRI Magnetic resonance imaging -- EEG Electroencephalogram -- FDG-PET 18F-fluorodeoxyglucose positron emission tomography; Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2022.08.007
• Languages: English
• ISSNs: 1388-2457

Abstract

Highlights: EEG spectral power is a non-invasive approach for tracking AD neuropathology. This study contributes to the validity of EEG-based biomarkers for the early diagnosis of AD. Results provide potential sex-related differences regarding the association between EEG-CSF parameters. Abstract: 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.