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
Chanda Simfukwe, Ph.D.
Assistant Professor
Biography
Chanda Simfukwe develops quantitative EEG (qEEG) and machine-learning methods for the early detection of dementia. Current work compares resting-state EEG recorded with eyes open and eyes closed across the Alzheimer's disease continuum, using spectral power, coherence, gamma-band activity, time–frequency analysis and EEG microstates, and relates these measures to amyloid-β oligomer levels in the blood.
Work with Chung-Ang University Hospital has applied machine learning to neuropsychological tests (a digital Trail Making Test and the Rey complex figure), to brain MRI for predicting brain age, and to amyloid PET images. Chanda Simfukwe has been an Assistant Professor in the Department of Bionano Technology since 2024, holds a Korean patent on quantitative EEG for estimating cognitive status (No. 10-2931123), and is research director of Alzheimer's Disease and Related Dementias in Zambia (ADDIZ).
Research interests
- qEEG
Research areas
First-author publications
21 publications
Updated automatically from the lab's ORCID records.
2026
2025
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
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
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
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
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
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
2024
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
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
2023
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
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
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
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
2022
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)
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
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
2021
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)
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
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