Sex differences in EEG metrics and resilience to cognitive decline in prodromal stages of Alzheimer's disease

The motivation behind this work lies in addressing a critical gap in understanding the factors and mechanisms underpinning maintained cognitive function in Alzheimer’s disease. The idea is to revolve the analysis around a framework comprising the primary components: quantitative electroencephalographic biomarkers of aging and AD pathology, cognitive measurements (Mini-Mental State Examination - MMSE) and risk/protective factors. 157 patients were evaluated: 19 Healthy Subjects (HS), 118 Subjective Cognitive Decline patients (SCD) and 39 Mild Cognitive Impairment patients (MCI). Both spectral and connectivity qEEG biomarkers have been extracted in four frequency bands: delta, theta, alpha and beta; age, years of education and Short Intelligence Test (TIB) were considered as main risk/protective factors. Importantly, recognizing the potential influence of sex on the prevalence, trajectory, and interplay of these components adds a nuanced layer to this approach.

Publication Details

Journal
Electronic Theses and Dissertations Repository (University of Pisa)
Published
2025-02-12
Primary Topic
Inorganic Fluorides and Related Compounds
Type
article
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article

Sex differences in EEG metrics and resilience to cognitive decline in prodromal stages of Alzheimer's disease

Electronic Theses and Dissertations Repository (University of Pisa)
Inorganic Fluorides and Related Compounds
article

Sex differences in EEG metrics and resilience to cognitive decline in prodromal stages of Alzheimer's disease

article en

Abstract

The motivation behind this work lies in addressing a critical gap in understanding the factors and mechanisms underpinning maintained cognitive function in Alzheimer’s disease. The idea is to revolve the analysis around a framework comprising the primary components: quantitative electroencephalographic biomarkers of aging and AD pathology, cognitive measurements (Mini-Mental State Examination - MMSE) and risk/protective factors. 157 patients were evaluated: 19 Healthy Subjects (HS), 118 Subjective Cognitive Decline patients (SCD) and 39 Mild Cognitive Impairment patients (MCI). Both spectral and connectivity qEEG biomarkers have been extracted in four frequency bands: delta, theta, alpha and beta; age, years of education and Short Intelligence Test (TIB) were considered as main risk/protective factors. Importantly, recognizing the potential influence of sex on the prevalence, trajectory, and interplay of these components adds a nuanced layer to this approach.

Electronic Theses and Dissertations Repository (University of Pisa)
Quality Education
Openalex Percentile: Top 60%
Inorganic Fluorides and Related Compounds
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