Ling-Yan Ma
Tao Feng
Chengzhang He
Mujing Li4
Kang Ren
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- 1Department of Neurology, Center for Movement Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- 2Department of Neurology, China National Clinical Research Center for Neurological Disease, Beijing, China
- 3Parkinson's Disease Center, Beijing Institute for Brain Disorders, Beijing, China
- 4Institute of Mathematical Sciences, ShanghaiTech University, Shanghai, China
- 5GYENNO Science Co., LTD., Shenzhen, China
- 6Department of Neurology, HUST-GYENNO Central Neural System Intelligent Digital Medicine Technology Center, Wuhan, China
A corrigendum on
A progression analysis of motor features in Parkinson's disease based on the mapper algorithm
by Ma, L.-Y., Feng, T., He, C., Li, M., Ren, K., and Tu, J. (2023). Front. Aging Neurosci. 15:1047017. doi: 10.3389/fnagi.2023.1047017
In the published article, there was an error. We made a mistake in describe variables in the predictive model.
A correction has been made to the Discussion, Paragraph 3. This sentence previously stated:
“Eight variables were enrolled in this model, including age, MDS-UPDRS III, NP1 apathy score, NP1 fatigue score, NP1 anxiety score, MMSE, and initial symptoms.”
The corrected sentence appears below:
“Eight variables were enrolled in this model, including age, MDS-UPDRS III, NP1 apathy score, NP1 fatigue score, NP1 anxiety score, MOCA, SCOPA-AUT, and initial symptoms.”
In the published article, there was an error. The description of the rate of progress in patients with no medication is ambiguous.
A correction has been made to the Discussion, Paragraph 5. This sentence previously stated:
“The rate of progress of patients with no medication is faster, which is representative of PD's natural course.”
The corrected sentence appears below:
“The rate of progress of patients with no medication is 2.17 per year, which is representative of PD's natural course.”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: progression analysis, Parkinson's disease, mapper algorithm, Markov chain, prediction model
Citation: Ma L-Y, Feng T, He C, Li M, Ren K and Tu J (2023) Corrigendum: A progression analysis of motor features in Parkinson's disease based on the mapper algorithm. Front. Aging Neurosci. 15:1174022. doi: 10.3389/fnagi.2023.1174022
Received: 25 February 2023; Accepted: 15 March 2023;
Published: 28 March 2023.
Edited and reviewed by: Jinghong Ma, Xuanwu Hospital, Capital Medical University, China
Copyright © 2023 Ma, Feng, He, Li, Ren and Tu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Junwu Tu, dHVqd0BzaGFuZ2hhaXRlY2guZWR1LmNu