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Resting-state EEG predicts cognitive decline in a neuropathologically diagnosed longitudinal community autopsied cohort.
- Source :
-
Parkinsonism & related disorders [Parkinsonism Relat Disord] 2024 Nov; Vol. 128, pp. 107120. Date of Electronic Publication: 2024 Aug 31. - Publication Year :
- 2024
-
Abstract
- Objective: To assess correlative strengths of quantitative electroencephalography (qEEG) and visual rating scale EEG features on cognitive outcomes in only autopsied cases from the Arizona Study of Neurodegenerative Disorders (AZSAND). We hypothesized that autopsy proven Parkinson Disease will show distinct EEG features from Alzheimer's Disease prior to dementia (mild cognitive impairment).<br />Background: Cognitive decline is debilitating across neurodegenerative diseases. Resting-state EEG analysis, including spectral power across frequency bins (qEEG), has shown significant associations with neurodegenerative disease classification and cognitive status, with autopsy confirmed diagnosis relatively lacking.<br />Methods: Biannual EEG was analyzed from autopsied cases in AZSAND who had at least one rsEEG (>1 min eyes closed±eyes open). Analysis included global relative spectral power and a previously described visual rating scale (VRS). Linear mixed regression was performed for neuropsychological assessment and testing within 2 years of death (n = 236, 594 EEG exams) in a mixed linear regression model.<br />Results: The cohort included cases with final clinicopathologic diagnoses of Parkinson's disease (n = 73), Alzheimer disease (n = 65), and tauopathy not otherwise specified (n = 56). A VRS score of 3 diffuse or frequent generalized slowing) over the study duration was associated with an increase in consensus diagnosis cognitive worsening at 4.9 (3.1) years (HR 2.02, CI 1.05-3.87). Increases in global theta power% and VRS were the most consistently associated with large regression coefficients inversely with cognitive performance measures.<br />Conclusion: Resting-state EEG analysis was meaningfully related to cognitive performance measures in a community-based autopsy cohort. EEG deserves further study and use as a cognitive biomarker.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024 Elsevier Ltd. All rights reserved.)
- Subjects :
- Humans
Female
Male
Aged
Aged, 80 and over
Longitudinal Studies
Parkinson Disease physiopathology
Parkinson Disease complications
Parkinson Disease pathology
Autopsy
Tauopathies physiopathology
Tauopathies pathology
Tauopathies diagnosis
Middle Aged
Cohort Studies
Electroencephalography
Cognitive Dysfunction physiopathology
Cognitive Dysfunction etiology
Cognitive Dysfunction pathology
Alzheimer Disease physiopathology
Alzheimer Disease pathology
Alzheimer Disease diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 1873-5126
- Volume :
- 128
- Database :
- MEDLINE
- Journal :
- Parkinsonism & related disorders
- Publication Type :
- Academic Journal
- Accession number :
- 39236511
- Full Text :
- https://doi.org/10.1016/j.parkreldis.2024.107120