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Blood Pathology Lab혈액병리 연구실

Chanda Simfukwe, Ph.D.

조교수

소개

Chanda Simfukwe는 치매 조기 발견을 위한 정량뇌파(qEEG)와 머신러닝 방법을 개발합니다. 현재 알츠하이머병 연속선상의 대상자에게서 눈을 뜬 상태와 감은 상태로 기록한 안정 시 뇌파를 비교하고, 스펙트럼 파워, 결맞음(coherence), 감마파 활동, 시간-주파수 분석, 뇌파 미세상태(microstate)를 이용해 이러한 지표와 혈중 아밀로이드-β 올리고머 수치의 관계를 분석합니다.

중앙대학교병원과의 공동 연구에서는 신경심리검사(디지털 선 잇기 검사, Rey 복합도형 검사), 뇌 연령 예측을 위한 뇌 MRI, 아밀로이드 PET 영상에 머신러닝을 적용했습니다. 2024년부터 바이오나노학과 조교수로 재직 중이며, 인지 상태 추정을 위한 정량뇌파 기술로 한국 특허(제10-2931123호)를 받았고, 잠비아 알츠하이머병 및 관련 치매 단체(ADDIZ)의 연구 책임자를 맡고 있습니다.

연구 관심 분야

  • 정량뇌파(qEEG)

연구 분야

제1저자 논문

논문 21편

연구실 구성원의 ORCID 기록에서 자동으로 갱신됩니다.

2026

  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

    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

    DOIPubMed

2025

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

    Mechanisms and Impact of Cognitive Reserve in Normal Aging and Alzheimer’s Disease

    Diagnostics 15(23):3068

    DOIPubMedPDF

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

    Association of qEEG TAR and TBR During Eyes-Open and Eyes-Closed with Plasma Oligomeric Amyloid-β Levels in an Aging Population

    Journal of Clinical Medicine 14(22):8069

    DOIPubMedPDF

  3. 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

    DOIPubMedPDF

  4. 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

    DOIPubMed

  5. 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

    DOIPubMedPDF

  6. 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

    DOIPubMedPDF

2024

  1. 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

    DOIPubMedPDF

  2. 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

    DOIPubMed

2023

  1. 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

    DOIPubMedPDF

  2. 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

    DOIPubMedPDF

  3. 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

    DOIPubMed

  4. 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

    DOIPubMedPDF

2022

  1. 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)

    DOIPDF

  2. 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

    DOIPubMed

  3. 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

    DOIPubMed

2021

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

    Digital Trail Making Test‐Black & White: Normal vs MCI

    Alzheimer s & Dementia 17(S6)

    DOI

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

    Digital trail making test-black and white: Normal vs MCI

    Applied Neuropsychology Adult 29(6):1296–1303

    DOIPubMed

  3. 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

    DOIPubMed

2020

  1. Chanda Simfukwe, Min Jae Baek, SangYun Kim, Seong Soo A. An

    Digital Trail Making Test‐Black and White: For android and iOS

    Alzheimer s & Dementia 16(S6)

    DOIPDF