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- Title
Use of electroencephalogram, gait, and their combined signals for classifying cognitive impairment and normal cognition.
- Authors
Jin-Young Min; Sang-Won Ha; Kiwon Lee; Kyoung-Bok Min
- Abstract
Background: Early identification of people at risk for cognitive decline is an important step in delaying the occurrence of cognitive impairment. This study investigated whether multimodal signals assessed using electroencephalogram (EEG) and gait kinematic parameters could be used to identify individuals at risk of cognitive impairment. Methods: The survey was conducted at the Veterans Medical Research Institute in the Veterans Health Service Medical Center. A total of 220 individuals volunteered for this study and provided informed consent at enrollment. A cap-type wireless EEG device was used for EEG recording, with a linked-ear references based on a standard international 10/20 system. Three-dimensional motion capture equipment was used to collect kinematic gait parameters. Mild cognitive impairment (MCI) was evaluated by Seoul Neuropsychological Screening Battery-Core (SNSB-C). Results: The mean age of the study participants was 73.5 years, and 54.7% were male. We found that specific EEG and gait parameters were significantly associated with cognitive status. Individuals with decreases in high-frequency EEG activity in high beta (25-30 Hz) and gamma (30-40 Hz) bands increased the odds ratio of MCI. There was an association between the pelvic obliquity angle and cognitive status, assessed by MCI or SNSB-C scores. Results from the ROC analysis revealed that multimodal signals combining high beta or gamma and pelvic obliquity improved the ability to discriminate MCI individuals from normal controls. Conclusion: These findings support prior work on the association between cognitive status and EEG or gait, and offer new insights into the applicability of multimodal signals to distinguish cognitive impairment.
- Subjects
SOUTH Korea; ANKLE physiology; KNEE physiology; PELVIC physiology; HIP joint physiology; VETERANS' hospitals; DORSIFLEXION; ELECTROENCEPHALOGRAPHY; CONFIDENCE intervals; RANGE of motion of joints; GAIT in humans; MILD cognitive impairment; ACTIVITIES of daily living; REGRESSION analysis; RISK assessment; NEUROPSYCHOLOGICAL tests; COMPARATIVE studies; T-test (Statistics); DIAGNOSIS; ABDUCTION (Kinesiology); ROTATIONAL motion; BODY movement; FOOT; QUESTIONNAIRES; DESCRIPTIVE statistics; CHI-squared test; RESEARCH funding; COGNITIVE testing; ODDS ratio; MOTION capture (Human mechanics); RECEIVER operating characteristic curves; LOGISTIC regression analysis; STATISTICAL correlation; DATA analysis software; KINEMATICS; PELVIS; DISEASE risk factors
- Publication
Frontiers in Aging Neuroscience, 2024, p01
- ISSN
1663-4365
- Publication type
Article
- DOI
10.3389/fnagi.2022.927295