본문 바로가기
구성원 로그인
Blood Pathology Lab혈액병리 연구실

뇌파와 머신러닝을 이용한 치매 선별

안정 상태 뇌파, 신경심리검사, 머신러닝을 이용해 정상 노화, 경도인지장애, 알츠하이머병을 구별합니다.

안정 상태 뇌파(EEG)는 빠르고 저렴하며 주사가 필요 없어, 노인의 인지 저하를 선별하는 방법으로 주목받고 있습니다. 연구실은 눈을 뜬 상태와 감은 상태에서 정량 뇌파(qEEG)를 측정하고, 알츠하이머병 연속선상의 단계를 구별하는 패턴을 찾습니다. 주파수 대역별 파워, 시간-주파수 특성, 뇌파 미세상태(microstate), 그리고 분류 모델에 가장 중요한 두피 영역을 분석합니다.

또한 레이 복합도형 검사(Rey Complex Figure)와 선로잇기 검사(Trail-Making Test) 같은 표준 신경심리검사에 머신러닝을 적용하고, 인지장애를 예측하는 여러 알고리즘을 비교합니다. 일부 연구는 qEEG 지표를 혈장 아밀로이드-β 올리고머 수치와, 검사 수행 결과를 회백질 부피와 연결합니다. 파킨슨병 환자의 보행과 균형을 측정하는 연구도 함께 진행합니다.

주요 연구 방법

  • 눈 뜬 상태·감은 상태의 안정 상태 qEEG
  • 스펙트럼, 시간-주파수, 미세상태 분석
  • 머신러닝·딥러닝 분류 모델
  • 신경심리검사 (레이 복합도형 검사, 선로잇기 검사)
  • 보행 및 일어나 걷기 검사(TUG) 측정

관련 연구 성과

  1. Chanda Simfukwe, Seong Soo A. An, Young Chul Youn

    Resting-State EEG Microstate Dynamics as Neurophysiological Biomarkers Across the Alzheimer’s Disease Continuum: A Systematic Review

    Diagnostics 16(18):3019 (2026)

    DOIPubMed

  2. Chanda Simfukwe, Seong Soo A. An, Young Chul Youn

    EEG Microstate Alterations in Eyes-Open and Eyes-Closed Resting States Across the Alzheimer’s Disease Continuum

    Journal of Clinical Medicine 15(15):5863 (2026)

    DOIPubMed

  3. Danyeong Kim, Minji Son, Jeanhong Jeon, Da-Eun Jeong, Hyun Kyung Yi, Min Ju Kang

    Quantitative Analysis of Timed Up and Go Metrics Across Parkinson’s Disease Severity and Their Clinical Correlations

    Diagnostics 16(14):2283 (2026)

    DOIPubMed

  4. Chanda Simfukwe, Seong Soo A. An, Young Chul Youn

    Associations Between Trail-Making Test Black and White Performance and Gray Matter Volume in Community-Dwelling Cognitively Healthy Adults Aged 40 to 80 Years

    Journal of Clinical Medicine 14(12):4041 (2025)

    DOIPubMedPDF

  5. Chanda Simfukwe, Seong Soo A. An, Young Chul Youn

    Difference between eyes-open and eyes-closed resting state quantitative electroencephalography (qEEG) for predicting cognitive impairment using deep learning

    Applied Neuropsychology Adult:1–11 (2025)

    DOIPubMed

  6. Chanda Simfukwe, Seong Soo A. An, Young Chul Youn

    Investigating Gamma Frequency Band PSD in Alzheimer’s Disease Using qEEG from Eyes-Open and Eyes-Closed Resting States

    Journal of Clinical Medicine 14(12):4256 (2025)

    DOIPubMedPDF

  7. Chanda Simfukwe, Seong Soo A. An, Young Chul Youn

    Time-Frequency Domain Analysis of Quantitative Electroencephalography as a Biomarker for Dementia

    Diagnostics 15(12):1509 (2025)

    DOIPubMedPDF

  8. Danyeong Kim, Da-Eun Jeong, Hyunkyung Yi, Min Ju Kang

    Gait Patterns and Balance Impairment in Parkinson’s Disease With Correlation to Disease Severity

    Dementia and Neurocognitive Disorders 24(4):259 (2025)

    DOIPubMedPDF

  9. Chanda Simfukwe, Seong Soo A. An, Young Chul Youn

    Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals

    Neuropsychiatric Disease and Treatment Volume 20:2375–2389 (2024)

    DOIPubMedPDF

  10. Chanda Simfukwe, Seong Soo A. An, Young Chul Youn

    Comparison of machine learning algorithms for predicting cognitive impairment using neuropsychological tests

    Applied Neuropsychology Adult 33(3):696–707 (2024)

    DOIPubMed

  11. Chanda Simfukwe, Su‐Hyun Han, Ho Tae Jeong, Young Chul Youn

    qEEG as Biomarker for Alzheimer’s Disease: Investigating Relative PSD Difference and Coherence Analysis

    Neuropsychiatric Disease and Treatment Volume 19:2423–2437 (2023)

    DOIPubMedPDF

  12. Chanda Simfukwe, Young Chul Youn, Minjae Kim, Joonki Paik, Su‐Hyun Han

    CNN for a Regression Machine Learning Algorithm for Predicting Cognitive Impairment Using qEEG

    Neuropsychiatric Disease and Treatment Volume 19:851–863 (2023)

    DOIPubMedPDF

  13. Chanda Simfukwe, Young Chul Youn, Ho Tae Jeong

    A machine-learning algorithm for predicting brain age using Rey–Osterrieth complex figure tests of healthy participants

    Applied Neuropsychology Adult 32(1):225–230 (2023)

    DOIPubMed

  14. Chanda Simfukwe, Reeree Lee, Young Chul Youn, Alzheimer’s Disease and Related Dementias in Zambia (ADDIZ) Group

    Classification of Aβ State From Brain Amyloid PET Images Using Machine Learning Algorithm

    Dementia and Neurocognitive Disorders 22(2):61 (2023)

    DOIPubMedPDF

  15. Chanda Simfukwe, Reeree Lee, Young Chul Youn

    Prediction of Aβ State from Brain Amyloid PET Images Using Machine Learning Algorithm

    Alzheimer s & Dementia 18(S7) (2022)

    DOIPDF

  16. Chanda Simfukwe, SangYun Kim, Seong Soo A. An, Young Chul Youn, Clinical Research Center for Dementia of South Korea (CREDOS) Study

    Neuropsychological test using machine learning for cognitive impairment screening

    Applied Neuropsychology Adult 31(5):825–830 (2022)

    DOIPubMed

  17. Chanda Simfukwe, Young Chul Youn

    Prediction of East Asian Brain Age using Machine Learning Algorithms Trained With Community-based Healthy Brain MRI

    Dementia and Neurocognitive Disorders 21(4):138 (2022)

    DOIPubMed

  18. Chanda Simfukwe, Seong Soo A. An, Young Chul Youn

    Comparison of RCF Scoring System to Clinical Decision for the Rey Complex Figure Using Machine-Learning Algorithm

    Dementia and Neurocognitive Disorders 20(4):70 (2021)

    DOIPubMed