Long‐Range Temporal Correlations in Electroencephalography for Parkinson's Disease Progression
LRTC patterns in EEG potentially predict rapid progression of both motor and non-motor manifestations in PD patients, enhancing clinical assessment and understanding of the disease. © 2024 International Parkinson and Movement Disorder Society.
Authors
- Hsiu‐Chuan Wu
- Chih‐Hong Lee (ORCID: https://orcid.org/0000-0001-8870-1669)
- Ting‐Wei Liao (ORCID: https://orcid.org/0000-0002-2019-6026)
- Chiung‐Mei Chen (ORCID: https://orcid.org/0000-0002-0769-0353)
- Chi‐Hung Juan (ORCID: https://orcid.org/0000-0002-9076-3591)
- Kuo‐Hsuan Chang (ORCID: https://orcid.org/0000-0003-4972-9823)
- Hsiang‐Han Chen (ORCID: https://orcid.org/0000-0003-1329-3298)
- Yen‐Shi Lo (ORCID: https://orcid.org/0000-0003-2488-4923)
- Isobel Timothea French
- Yiru Wang (ORCID: https://orcid.org/0000-0003-4556-6449)
- Jia‐Pei Hong
- Mei‐Ling Cheng
Institutions
- National Taiwan Normal University (TW)
- Chang Gung University (TW)
- National Central University (TW)
- Chang Gung Memorial Hospital (TW)
- Linkou Chang Gung Memorial Hospital (TW)
- Taipei Medical University-Shuang Ho Hospital (TW)
Publication Details
- Journal
- Movement Disorders
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1002/mds.30074
- Citations
- 5
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.71
Funders
- Chang Gung Medical Foundation