Prefrontal intra-individual ERP variability and its asymmetry: exploring its biomarker potential in mild cognitive impairment

Abstract Background The worldwide trend of demographic aging highlights the progress made in healthcare, albeit with health challenges like Alzheimer’s Disease (AD), prevalent in individuals aged 65 and above. Its early detection at the mild cognitive impairment (MCI) stage is crucial. Event-related...

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Main Authors: Joel Eyamu, Wuon-Shik Kim, Kahye Kim, Kun Ho Lee, Jaeuk U. Kim
Format: Article
Language:English
Published: BMC 2024-04-01
Series:Alzheimer’s Research & Therapy
Subjects:
Online Access:https://doi.org/10.1186/s13195-024-01452-5
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author Joel Eyamu
Wuon-Shik Kim
Kahye Kim
Kun Ho Lee
Jaeuk U. Kim
author_facet Joel Eyamu
Wuon-Shik Kim
Kahye Kim
Kun Ho Lee
Jaeuk U. Kim
author_sort Joel Eyamu
collection DOAJ
description Abstract Background The worldwide trend of demographic aging highlights the progress made in healthcare, albeit with health challenges like Alzheimer’s Disease (AD), prevalent in individuals aged 65 and above. Its early detection at the mild cognitive impairment (MCI) stage is crucial. Event-related potentials (ERPs) obtained by averaging EEG segments responded to repeated events are vital for cognitive impairment research. Consequently, examining intra-trial ERP variability is vital for comprehending fluctuations within psychophysiological processes of interest. This study aimed to investigate cognitive deficiencies and instability in MCI using ERP variability and its asymmetry from a prefrontal two-channel EEG device. Methods In this study, ERP variability for both target and non-target responses was examined using the response variance curve (RVC) in a sample comprising 481 participants with MCI and 1,043 age-matched healthy individuals. The participants engaged in auditory selective attention tasks. Cognitive decline was assessed using the Seoul Neuropsychological Screening Battery (SNSB) and the Mini-Mental State Examination (MMSE). The research employed various statistical methods, including independent t-tests, and univariate and multiple logistic regression analyses. These analyses were conducted to investigate group differences and explore the relationships between neuropsychological test results, ERP variability and its asymmetry measures, and the prevalence of MCI. Results Our results showed that patients with MCI exhibited unstable cognitive processing, characterized by increased ERP variability compared to cognitively normal (CN) adults. Multiple logistic regression analyses confirmed the association between ERP variability in the target and non-target responses with MCI prevalence, independent of demographic and neuropsychological factors. Discussion The unstable cognitive processing in the MCI group compared to the CN individuals implies abnormal neurological changes and reduced and (or) unstable attentional maintenance during cognitive processing. Consequently, utilizing ERP variability measures from a portable EEG device could serve as a valuable addition to the conventional ERP measures of latency and amplitude. This approach holds significant promise for identifying mild cognitive deficits and neural alterations in individuals with MCI.
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spelling doaj.art-af2dde3d7f5f4756943bbce20d12e08b2024-04-14T11:09:33ZengBMCAlzheimer’s Research & Therapy1758-91932024-04-0116111310.1186/s13195-024-01452-5Prefrontal intra-individual ERP variability and its asymmetry: exploring its biomarker potential in mild cognitive impairmentJoel Eyamu0Wuon-Shik Kim1Kahye Kim2Kun Ho Lee3Jaeuk U. Kim4Digital Health Research Division, Korea Institute of Oriental MedicineDigital Health Research Division, Korea Institute of Oriental MedicineDigital Health Research Division, Korea Institute of Oriental MedicineGwangju Alzheimer’s Disease and Related Dementias (GARD) Cohort Research Center, Chosun UniversityDigital Health Research Division, Korea Institute of Oriental MedicineAbstract Background The worldwide trend of demographic aging highlights the progress made in healthcare, albeit with health challenges like Alzheimer’s Disease (AD), prevalent in individuals aged 65 and above. Its early detection at the mild cognitive impairment (MCI) stage is crucial. Event-related potentials (ERPs) obtained by averaging EEG segments responded to repeated events are vital for cognitive impairment research. Consequently, examining intra-trial ERP variability is vital for comprehending fluctuations within psychophysiological processes of interest. This study aimed to investigate cognitive deficiencies and instability in MCI using ERP variability and its asymmetry from a prefrontal two-channel EEG device. Methods In this study, ERP variability for both target and non-target responses was examined using the response variance curve (RVC) in a sample comprising 481 participants with MCI and 1,043 age-matched healthy individuals. The participants engaged in auditory selective attention tasks. Cognitive decline was assessed using the Seoul Neuropsychological Screening Battery (SNSB) and the Mini-Mental State Examination (MMSE). The research employed various statistical methods, including independent t-tests, and univariate and multiple logistic regression analyses. These analyses were conducted to investigate group differences and explore the relationships between neuropsychological test results, ERP variability and its asymmetry measures, and the prevalence of MCI. Results Our results showed that patients with MCI exhibited unstable cognitive processing, characterized by increased ERP variability compared to cognitively normal (CN) adults. Multiple logistic regression analyses confirmed the association between ERP variability in the target and non-target responses with MCI prevalence, independent of demographic and neuropsychological factors. Discussion The unstable cognitive processing in the MCI group compared to the CN individuals implies abnormal neurological changes and reduced and (or) unstable attentional maintenance during cognitive processing. Consequently, utilizing ERP variability measures from a portable EEG device could serve as a valuable addition to the conventional ERP measures of latency and amplitude. This approach holds significant promise for identifying mild cognitive deficits and neural alterations in individuals with MCI.https://doi.org/10.1186/s13195-024-01452-5Mild cognitive impairmentAlzheimer’s diseaseElectroencephalographyEvent-related potentialTrial-to-trial variabilityIntra-individual variability
spellingShingle Joel Eyamu
Wuon-Shik Kim
Kahye Kim
Kun Ho Lee
Jaeuk U. Kim
Prefrontal intra-individual ERP variability and its asymmetry: exploring its biomarker potential in mild cognitive impairment
Alzheimer’s Research & Therapy
Mild cognitive impairment
Alzheimer’s disease
Electroencephalography
Event-related potential
Trial-to-trial variability
Intra-individual variability
title Prefrontal intra-individual ERP variability and its asymmetry: exploring its biomarker potential in mild cognitive impairment
title_full Prefrontal intra-individual ERP variability and its asymmetry: exploring its biomarker potential in mild cognitive impairment
title_fullStr Prefrontal intra-individual ERP variability and its asymmetry: exploring its biomarker potential in mild cognitive impairment
title_full_unstemmed Prefrontal intra-individual ERP variability and its asymmetry: exploring its biomarker potential in mild cognitive impairment
title_short Prefrontal intra-individual ERP variability and its asymmetry: exploring its biomarker potential in mild cognitive impairment
title_sort prefrontal intra individual erp variability and its asymmetry exploring its biomarker potential in mild cognitive impairment
topic Mild cognitive impairment
Alzheimer’s disease
Electroencephalography
Event-related potential
Trial-to-trial variability
Intra-individual variability
url https://doi.org/10.1186/s13195-024-01452-5
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