Auditory steady state response can predict declining EF in healthy elderly individuals.

Area of Science:

• Neuroscience
• Cognitive Science
• Biomarker Discovery

Background:

• Aging populations face economic and societal challenges due to cognitive decline.
• Early detection of cognitive decline before clinical symptoms is crucial.
• This study investigates Auditory Steady-State Responses (ASSRs) and subclinical cognitive decline.

Purpose of the Study:

• To explore the association between gamma-band ASSRs and subclinical cognitive decline.
• To identify potential neurophysiological biomarkers for early cognitive impairment.
• To assess the efficacy of machine learning models in predicting cognitive decline.

Main Methods:

• Longitudinal analysis of cognitive test results and 40 Hz gamma-band ASSRs.
• Generalized Linear Models (GLMs) to associate ASSR characteristics with Executive Function (EF).
• Vision Transformers (ViTs) trained to differentiate between declining and stable cognitive performance.

Main Results:

• Individuals with declining cognitive performance exhibited larger ASSR entrainment areas and delayed neural assembly.
• These neurophysiological changes correlated with poorer EF, specifically on the Stockings of Cambridge task.
• ViTs achieved 51.8% cross-subject accuracy in identifying cognitive decline from EEG data.

Conclusions:

• Gamma-band ASSR characteristics are associated with early, subclinical cognitive decline in middle-aged adults.
• ASSRs show promise as potential biomarkers for cognitive impairment.
• Further refinement of machine learning models is needed to improve clinical applicability.