Auditory steady state response can predict declining EF in healthy elderly individuals
BackgroundThe aging population imposes significant economic and societal challenges, underscoring the need for early detection of individuals at risk of cognitive decline prior to the onset of clinical symptoms. This study explores the association between gamma-band Auditory Steady-State Responses (...
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Aging Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2025.1516932/full |
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| author | Xiaopeng Mao Xiaopeng Mao Nelly Shenton Sadasivan Puthusserypady Martin Johannes Lauritzen Krisztina Benedek |
| author_facet | Xiaopeng Mao Xiaopeng Mao Nelly Shenton Sadasivan Puthusserypady Martin Johannes Lauritzen Krisztina Benedek |
| author_sort | Xiaopeng Mao |
| collection | DOAJ |
| description | BackgroundThe aging population imposes significant economic and societal challenges, underscoring the need for early detection of individuals at risk of cognitive decline prior to the onset of clinical symptoms. This study explores the association between gamma-band Auditory Steady-State Responses (ASSRs) and subclinical cognitive decline using longitudinal data from healthy volunteers in the Metropolit Birth Cohort (MBC).MethodsLongitudinal recordings of cognitive test results and ASSRs at 40 Hz stimulation were analyzed. Generalized Linear Models (GLMs) were employed to determine the association between ASSR characteristics and cognitive performance with an emphasis on Executive Function (EF) at ages 61–68. Additionally, Vision Transformers (ViTs) were trained to distinguish between individuals with declining and stable cognitive performance.ResultsSubjects with declining cognitive performance through midlife showed a larger area of entrainment and delayed neural assembly of ASSRs compared to those with stable cognitive performance. These neurophysiological changes were correlated with poorer EF, as measured by the Stockings of Cambridge (SOC) task. The ViTs trained and cross-validated on time-frequency-transformed Electroencephalograms (EEGs) achieved an average cross-subject accuracy of 51.8% in identifying cognitive decline.ConclusionGamma-band ASSR characteristics are linked to early cognitive decline in middle-aged individuals, offering potential as biomarkers. However, the limited predictive accuracy of ML models emphasizes the need for further refinement to enhance their clinical applicability. |
| format | Article |
| id | doaj-art-3c6661882389405b934e3eaf66e76ddc |
| institution | Kabale University |
| issn | 1663-4365 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj-art-3c6661882389405b934e3eaf66e76ddc2025-02-04T06:32:09ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652025-02-011710.3389/fnagi.2025.15169321516932Auditory steady state response can predict declining EF in healthy elderly individualsXiaopeng Mao0Xiaopeng Mao1Nelly Shenton2Sadasivan Puthusserypady3Martin Johannes Lauritzen4Krisztina Benedek5Department of Health Technology, Technical University of Denmark, Kongens Lyngby, DenmarkDepartment of Clinical Neurophysiology, Zealand University Hospital, Roskilde, DenmarkDepartment of Clinical Neurophysiology, Zealand University Hospital, Roskilde, DenmarkDepartment of Health Technology, Technical University of Denmark, Kongens Lyngby, DenmarkFaculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DenmarkDepartment of Clinical Neurophysiology, Zealand University Hospital, Roskilde, DenmarkBackgroundThe aging population imposes significant economic and societal challenges, underscoring the need for early detection of individuals at risk of cognitive decline prior to the onset of clinical symptoms. This study explores the association between gamma-band Auditory Steady-State Responses (ASSRs) and subclinical cognitive decline using longitudinal data from healthy volunteers in the Metropolit Birth Cohort (MBC).MethodsLongitudinal recordings of cognitive test results and ASSRs at 40 Hz stimulation were analyzed. Generalized Linear Models (GLMs) were employed to determine the association between ASSR characteristics and cognitive performance with an emphasis on Executive Function (EF) at ages 61–68. Additionally, Vision Transformers (ViTs) were trained to distinguish between individuals with declining and stable cognitive performance.ResultsSubjects with declining cognitive performance through midlife showed a larger area of entrainment and delayed neural assembly of ASSRs compared to those with stable cognitive performance. These neurophysiological changes were correlated with poorer EF, as measured by the Stockings of Cambridge (SOC) task. The ViTs trained and cross-validated on time-frequency-transformed Electroencephalograms (EEGs) achieved an average cross-subject accuracy of 51.8% in identifying cognitive decline.ConclusionGamma-band ASSR characteristics are linked to early cognitive decline in middle-aged individuals, offering potential as biomarkers. However, the limited predictive accuracy of ML models emphasizes the need for further refinement to enhance their clinical applicability.https://www.frontiersin.org/articles/10.3389/fnagi.2025.1516932/fullelectroencephalogram (EEG)auditory steady state response (ASSR)gamma-bandcognitive declineexecutive function (EF)machine learning (ML) |
| spellingShingle | Xiaopeng Mao Xiaopeng Mao Nelly Shenton Sadasivan Puthusserypady Martin Johannes Lauritzen Krisztina Benedek Auditory steady state response can predict declining EF in healthy elderly individuals Frontiers in Aging Neuroscience electroencephalogram (EEG) auditory steady state response (ASSR) gamma-band cognitive decline executive function (EF) machine learning (ML) |
| title | Auditory steady state response can predict declining EF in healthy elderly individuals |
| title_full | Auditory steady state response can predict declining EF in healthy elderly individuals |
| title_fullStr | Auditory steady state response can predict declining EF in healthy elderly individuals |
| title_full_unstemmed | Auditory steady state response can predict declining EF in healthy elderly individuals |
| title_short | Auditory steady state response can predict declining EF in healthy elderly individuals |
| title_sort | auditory steady state response can predict declining ef in healthy elderly individuals |
| topic | electroencephalogram (EEG) auditory steady state response (ASSR) gamma-band cognitive decline executive function (EF) machine learning (ML) |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2025.1516932/full |
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