Electroencephalography Alpha-Band Oscillations as Potential Indicators of Executive Subcomponents Dysfunction correlating to the Severity of Cerebral Small Vessel Disease

Cerebral small vessel disease (CSVD) relates to executive dysfunction. While electroencephalography (EEG) alpha-band oscillations are promising biomarkers for cognitive impairment, their relationship with specific subcomponents of executive function in CSVD remains unclear. We aimed to investigate the association between EEG alpha-band oscillations and subcomponents of executive function-inhibitory control and working memory-among patients with CSVD. This was a cross-sectional analysis of an ongoing national registry research of CSVD (KY 2019-140-01). Five-minute resting-state EEG was recorded for analyzing occipital and frontal alpha-band indexes including peak frequency (PFα), occipital-frontal ΔPFα, and neurophysiological cognitive level. Inhibitory control and working memory were respectively evaluated by the Victoria Stroop Test (VST) and Digit Span. Associations and screening performance were assessed through logistic regression and ROC-AUC analysis with bootstrap internal validation. A total of 181 CSVD patients (age=60±12.0 years, male=61.9%) were recruited. After adjusting for age, gender, education, and CSVD severity, all PFα were associated with VST trial-2 completion time and VST composite time, respectively (all p<0.05). PFα(O1) have shown association with VST trial-3 completion time (p<0.05). PFα(O1) and PFα(O2) were associated with the high interference score, respectively (all p<0.05). We have set up fifty-six alpha-band-related models, and twenty-four models were selected with apparent AUC ranging from 0.6 to 0.83. The highest apparent AUC for inhibitory control impairment was 0.83, with an optimism-corrected AUC of 0.80. Alpha-band oscillations showed no robust association with working memory. In conclusion, resting-state EEG alpha-band parameters were associated with inhibitory control, but had no connection with working memory, in patients with CSVD. These findings suggested that resting-state EEG alpha-band oscillations can serve as an objective, accessible tool for assessing specific executive deficits in patients with CSVD.

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Journal
Interdisciplinary Sciences Computational Life Sciences
Published
2026-10-30
DOI
https://doi.org/10.1007/s12539-026-00885-w
Primary Topic
Neurological Disease Mechanisms and Treatments
Type
article
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article

Electroencephalography Alpha-Band Oscillations as Potential Indicators of Executive Subcomponents Dysfunction correlating to the Severity of Cerebral Small Vessel Disease

Elisabeth Dirren, Tong Guo, Jean‐Paul Collet, Qianqian Yang et al.
2 links
Interdisciplinary Sciences Computational Life Sciences
Neurological Disease Mechanisms and Treatments
article

Electroencephalography Alpha-Band Oscillations as Potential Indicators of Executive Subcomponents Dysfunction correlating to the Severity of Cerebral Small Vessel Disease

Elisabeth Dirren, Tong Guo, Jean‐Paul Collet, Qianqian Yang, Yilong Wang, Yao Lu, Ling Guan, Xun Chen, Mengxi Zhao, David Wang, Tingting Wang, Xiaodong Li
article en

Abstract

Cerebral small vessel disease (CSVD) relates to executive dysfunction. While electroencephalography (EEG) alpha-band oscillations are promising biomarkers for cognitive impairment, their relationship with specific subcomponents of executive function in CSVD remains unclear. We aimed to investigate the association between EEG alpha-band oscillations and subcomponents of executive function-inhibitory control and working memory-among patients with CSVD. This was a cross-sectional analysis of an ongoing national registry research of CSVD (KY 2019-140-01). Five-minute resting-state EEG was recorded for analyzing occipital and frontal alpha-band indexes including peak frequency (PFα), occipital-frontal ΔPFα, and neurophysiological cognitive level. Inhibitory control and working memory were respectively evaluated by the Victoria Stroop Test (VST) and Digit Span. Associations and screening performance were assessed through logistic regression and ROC-AUC analysis with bootstrap internal validation. A total of 181 CSVD patients (age=60±12.0 years, male=61.9%) were recruited. After adjusting for age, gender, education, and CSVD severity, all PFα were associated with VST trial-2 completion time and VST composite time, respectively (all p<0.05). PFα(O1) have shown association with VST trial-3 completion time (p<0.05). PFα(O1) and PFα(O2) were associated with the high interference score, respectively (all p<0.05). We have set up fifty-six alpha-band-related models, and twenty-four models were selected with apparent AUC ranging from 0.6 to 0.83. The highest apparent AUC for inhibitory control impairment was 0.83, with an optimism-corrected AUC of 0.80. Alpha-band oscillations showed no robust association with working memory. In conclusion, resting-state EEG alpha-band parameters were associated with inhibitory control, but had no connection with working memory, in patients with CSVD. These findings suggested that resting-state EEG alpha-band oscillations can serve as an objective, accessible tool for assessing specific executive deficits in patients with CSVD.

Interdisciplinary Sciences Computational Life Sciences
University of Geneva (CH), Beijing Institute of Technology (CN), University of Science and Technology of China (CN), Barrow Neurological Institute (US), University of British Columbia (CA), Capital Medical University (CN), Beijing Tian Tan Hospital (CN), University Hospital of Geneva (CH)
National Natural Science Foundation of China, Beijing Municipal Science and Technology Commission, National Science and Technology Major Project, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 17%
Neurological Disease Mechanisms and Treatments
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