Frontal Memory‐related Brainwaves Differentially Correlate with AD and Astrocyte Plasma Biomarkers

Abstract Background We currently lack in the dementia field accurate, noninvasive, quick, and affordable screening tools for brain dysfunctions associated with early subtle risk of mild cognitive impairment (MCI). Our Kentucky aging cohort demonstrates that asymptomatic older individuals with MCI‐like frontal memory‐related brainwave patterns convert to MCI within a short 5‐year period, as opposed to individuals with NC‐like patterns (1) that remain normal 10 years later (2). Astrocyte reactivity influences amyloid‐β effects on tau pathology in preclinical Alzheimer’s disease (3). Leveraging blood‐based AD and astrocyte biomarkers and the cognitive electroencephalogram (EEG) signatures (4), we test the hypothesis that predictive frontal memory‐related EEG changes correlate with preclinical and early AD plasma biomarkers. Method 34 (19 women) older volunteers with or without MCI, average age 79 (SD 8.53) years old, from a longitudinal cohort followed by University of Kentucky ADRC participated. Each participant’s EEG was recorded (64‐ or 14‐channels) during a working memory (modified delayed match‐to‐sample) task. Principal component analysis (PCA) was performed on 64‐channel EEG data to create PC scores (PC1 & PC2). For multiple linear regression of EEG PC scores on multiple neurodegenerative plasma biomarkers including Aβ 42/40 , pTau 181 , total Tau, and GFAP (Astrocyte reactivity), we adjusted age, sex, education, and gap years between collection dates. Result The 61% of variance in frontal signals can be explained by PC1 in normal cognition (NC) and MCI individuals, and PC2 counts for 35% of variance (Figure 1). The decreased brainwaves (MCI‐like) seen in left frontal sites significantly correlate with increased pTau 181 , GFAP, and PC2 (Figure 2). Curiously, right frontal EEG relations with pTau 181 , GFAP showed the opposite trend. Bilateral frontal signals showed negative correlations with Aβ 42/40 and positive correlations with total Tau. Conclusion Our results indicate that GFAP & pTau 181 trend in similar asymmetry ways with frontal cognitive brainwaves, but Aβ 42/40 & total Tau correlate to a different component of frontal EEG. That is, distinct cognitive brainwaves correlate with astrocyte reactivity differentially that influence pathologies of beta‐amyloid accumulations and Tau development. Cognitive pathophysiological signatures and AD–Astrocyte plasma biomarkers have great potential for predicting subtle cognitive decline and specific dementia risk in healthy normal individuals.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.084903
Citations
1
Primary Topic
Cognitive Functions and Memory
Type
article
Field-Weighted Citation Impact
0.51
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article

Frontal Memory‐related Brainwaves Differentially Correlate with AD and Astrocyte Plasma Biomarkers

Christopher M. Norris, Gregory A. Jicha, Donna M. Wilcock, Yuriko Katsumata et al.
1 citations
Alzheimer s & Dementia
Cognitive Functions and Memory
0.51
article

Frontal Memory‐related Brainwaves Differentially Correlate with AD and Astrocyte Plasma Biomarkers

Christopher M. Norris, Gregory A. Jicha, Donna M. Wilcock, Yuriko Katsumata, Tiffany L. Sudduth, Yang Jiang, Kate E. Foley, Maria F Clark, Xian Wu, Baoxi Wang
article en
1 citations

Abstract

Abstract Background We currently lack in the dementia field accurate, noninvasive, quick, and affordable screening tools for brain dysfunctions associated with early subtle risk of mild cognitive impairment (MCI). Our Kentucky aging cohort demonstrates that asymptomatic older individuals with MCI‐like frontal memory‐related brainwave patterns convert to MCI within a short 5‐year period, as opposed to individuals with NC‐like patterns (1) that remain normal 10 years later (2). Astrocyte reactivity influences amyloid‐β effects on tau pathology in preclinical Alzheimer’s disease (3). Leveraging blood‐based AD and astrocyte biomarkers and the cognitive electroencephalogram (EEG) signatures (4), we test the hypothesis that predictive frontal memory‐related EEG changes correlate with preclinical and early AD plasma biomarkers. Method 34 (19 women) older volunteers with or without MCI, average age 79 (SD 8.53) years old, from a longitudinal cohort followed by University of Kentucky ADRC participated. Each participant’s EEG was recorded (64‐ or 14‐channels) during a working memory (modified delayed match‐to‐sample) task. Principal component analysis (PCA) was performed on 64‐channel EEG data to create PC scores (PC1 & PC2). For multiple linear regression of EEG PC scores on multiple neurodegenerative plasma biomarkers including Aβ 42/40 , pTau 181 , total Tau, and GFAP (Astrocyte reactivity), we adjusted age, sex, education, and gap years between collection dates. Result The 61% of variance in frontal signals can be explained by PC1 in normal cognition (NC) and MCI individuals, and PC2 counts for 35% of variance (Figure 1). The decreased brainwaves (MCI‐like) seen in left frontal sites significantly correlate with increased pTau 181 , GFAP, and PC2 (Figure 2). Curiously, right frontal EEG relations with pTau 181 , GFAP showed the opposite trend. Bilateral frontal signals showed negative correlations with Aβ 42/40 and positive correlations with total Tau. Conclusion Our results indicate that GFAP & pTau 181 trend in similar asymmetry ways with frontal cognitive brainwaves, but Aβ 42/40 & total Tau correlate to a different component of frontal EEG. That is, distinct cognitive brainwaves correlate with astrocyte reactivity differentially that influence pathologies of beta‐amyloid accumulations and Tau development. Cognitive pathophysiological signatures and AD–Astrocyte plasma biomarkers have great potential for predicting subtle cognitive decline and specific dementia risk in healthy normal individuals.

Alzheimer s & DementiaVol. 20(S2)
University of Kentucky (US), Jiangxi Normal University (CN), Indiana University – Purdue University Indianapolis (US)
Openalex Percentile: Top 27%
Cognitive Functions and Memory
0.51
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