ArticleAlzheimer's & dementia (New York, N. Y.)
EEG recordings during visuo-attentive task reduce sex bias in Alzheimer's disease diagnosis.
Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05569083 (PRedicting the EVolution of SubjectIvE Cognitive Decline to Alzheimer's Disease With Machine Learning), which is not on this map. Not yet cited in PubMed.
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PRedicting the EVolution of SubjectIvE Cognitive Decline to Alzheimer's Disease With Machine Learning
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11 authors.
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Abstract
introductionPathological cognitive decline affects roughly 15% of older adults, presenting relevant sex differences, being a stronger predictor of Alzheimer's disease in females. Yet, sex-specific neural markers that support a balanced early diagnosis remain limited. Event-related potentials (ERPs) derived from task-based electroencephalograph (EEG) offer a non-invasive window into cognitive processing, but their sex-specific diagnostic value in subjective cognitive decline (SCD) has not been explored.
methodsWe recorded EEG during a visuo-attentive task in elders with SCD (
resultsERP analyses revealed distinct sex-specific associations between neural responses and behavioral performance, suggesting partially divergent neurocognitive mechanisms underlying attentional processing in aging males and females. Diagnostic models based solely on clinical data produced significantly unbalanced performance between sexes (area under the curve [AUC]: 0.75 males, AUC: 0.63 females; DISCUSSION: Task-related ERPs provide complementary, sex-specific neural information that mitigates diagnostic disparity arising from clinical assessments alone. Incorporating ERP features supports a more equitable early identification of cognitive decline and may improve screening strategies for populations usually under-recognized in preclinical Alzheimer's disease pathways.
trial registrationClinicalTrials.gov identifier: NCT05569083. Highlights: Task-based electroencephalograph (EEG) reveals sex-specific neural mechanisms in early Alzheimer's disease (AD) stages.Event-related potentials (ERP) features improve subjective cognitive decline (SCD) diagnosis and eliminate sex bias in classification.Combining cognitive data with task-EEG enhances overall diagnostic accuracy.Visuo-attentive EEG offers a non-invasive, unbiased tool for early AD detection.
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