EEG Reveals Alterations in Motor Imagery in People With Amnestic Mild Cognitive Impairment

Author:

Zhen Yanfen1ORCID,Gao Lijuan2,Chen Jiu2,Gu Lihua2,Shu Hao2,Wang Zan2ORCID,Liu Duan2,Zhang Zhijun12

Affiliation:

1. Shenzhen Key Laboratory of Precision Diagnosis and Treatment of Depression, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences , Shenzhen , China

2. Department of Neurology, Affiliated Zhongda Hospital, Research Institution of Neuropsychiatry, School of Medicine, Southeast University , Nanjing, Jiangsu , China

Abstract

Abstract Objectives Motor imagery has been used to investigate the cognitive mechanism of motor control. Although behavioral and electrophysiological changes in motor imagery in people with amnestic mild cognitive impairment (aMCI) have been reported, deficits in different types of imagery remain unclear. To explore this question, we used electroencephalography (EEG) to study neural correlates of visual imagery (VI) and kinesthetic imagery (KI) and their relationship to cognitive function in people with aMCI. Methods A hand laterality judgment task was used to induce implicit motor imagery in 29 people with aMCI and 40 healthy controls during EEG recording. Mass univariate and multivariate EEG analysis was applied to explore group differences in a data-driven manner. Results Modulation of stimuli orientation to event-related potential (ERP) amplitudes differed significantly between groups at 2 clusters located in the posterior–parietal and frontal areas. Multivariate decoding revealed sufficient representation of VI-related orientation features in both groups. Relative to healthy controls, the aMCI group lacked accurate representation of KI-related biomechanical features, suggesting deficits in automatic activation of KI strategy. Electrophysiological correlates were associated with episodic memory, visuospatial function, and executive function. Higher decoding accuracy of biomechanical features predicted better executive function via longer response time in the imagery task in the aMCI group. Discussion These findings reveal electrophysiological correlates related to motor imagery deficits in aMCI, including local ERP amplitudes and large-scale activity patterns. Alterations in EEG activity are related to cognitive function in multiple domains, including episodic memory, suggesting the potential of these EEG indices as biomarkers of cognitive impairment.

Funder

National Natural Science Foundation of China

STI2030-Major Projects

Shenzhen Key Laboratory of Precision Diagnosis and Treatment of Depression

Science and Technology Program of Guangdong

Science and Technology Program of Shenzhen

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Gerontology,Clinical Psychology,Social Psychology

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