Next Article in Journal
The Surgical Odyssey: Romania’s Contributions to Pituitary Gland Procedures
Previous Article in Journal
Towards Environment-Aware Fall Risk Assessment: Classifying Walking Surface Conditions Using IMU-Based Gait Data and Deep Learning
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Brain Sciences
Volume 13
Issue 10
10.3390/brainsci13101429
brainsci-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
Correction to Brain Sci. 2022, 12(9), 1213.
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Zhu et al. Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson’s Disease. Brain Sci. 2022, 12, 1213

by
Sha Zhu
1,†,
Zhuang Wu
2,†,
Yaxi Wang
1,
Yinyin Jiang
1,
Ruxin Gu
1,
Min Zhong
1,
Xu Jiang
1,
Bo Shen
1,
Jun Zhu
1,
Jun Yan
1,
Yang Pan
1 and
Li Zhang
1,*
1
Department of Geriatric Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
2
Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai 200092, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Brain Sci. 2023, 13(10), 1429; https://doi.org/10.3390/brainsci13101429
Submission received: 24 August 2023 / Accepted: 21 September 2023 / Published: 8 October 2023
(This article belongs to the Section Neurodegenerative Diseases)
Versions Notes

Error in Table

In the original publication [1], there was a mistake in Table 3. After the authors calculated the data for rows 11–16 in column 6 of the table, they read the wrong column when entering, and an error occurred. The corrected Table 3 appears below. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.
Line 11: change −0.431 (<0.001) to −0.441 (<0.001)
Line 12: change −0.382 (<0.001) to −0.375 (<0.001)
Line 13: change −0.429 (<0.001) to −0.434 (<0.001)
Line 14: change 0.517 (<0.001) to −0.332 (<0.001)
Line 15: change −0.454 (<0.001) to −0.246 (0.004)
Line 16: change −0.171 (<0.001) to −0.067 (0.434)

Reference

  1. Zhu, S.; Wu, Z.; Wang, Y.; Jiang, Y.; Gu, R.; Zhong, M.; Jiang, X.; Shen, B.; Zhu, J.; Yan, J.; et al. Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson’s Disease. Brain Sci. 2022, 12, 1213. [Google Scholar] [CrossRef] [PubMed]
Table 3. Correlation analysis between gait parameters and H–Y stage, UPDRS scores and PDQ39.
Table 3. Correlation analysis between gait parameters and H–Y stage, UPDRS scores and PDQ39.
H–Y StageUPDRS ⅠUPDRS ⅡUPDRS ⅢPDQ39
SL (m)−0.566 (<0.001)−0.155 (0.070)−0.453 (<0.001)−0.454 (<0.001)−0.433 (<0.001)
GV (m/s)−0.458 (<0.001)−0.040 (0.644)−0.334 (<0.001)−0.376 (<0.001)−0.269 (0.001)
CA (steps/min)−0.052 (0.545)0.212 (0.012)0.001 (0.987)−0.069 (0.421)0.110 (0.201)
ST (s)0.055 (0.518)−0.210 (0.013)0.003 (0.970)0.075 (0.383)−0.109 (0.204)
StPT (%)0.247 (0.003)−0.073 (0.396)0.199 (0.019)0.229 (0.007)0.092 (0.284)
SwPT (%)−0.268 (0.001)0.057 (0.504)−0.216 (0.011)−0.253 (0.003)−0.062 (0.469)
CV–SL0.552 (<0.001)0.219 (0.010)0.500 (<0.001)0.463 (<0.001)0.358 (<0.001)
CV–ST0.401 (<0.001)0.194 (0.023)0.369 (<0.001)0.371 (<0.001)0.224 (0.008)
CV–StPT 0.380 (<0.001)0.153 (0.074)0.315 (<0.001)0.311 (<0.001)0.229 (0.007)
CV–SwPT0.455 (<0.001)0.107 (0.211)0.373 (<0.001)0.346 (<0.001)0.252 (0.003)
walk radio−0.431 (<0.001)−0.263 (0.002)−0.380 (<0.001)−0.343 (<0.001)−0.441 (<0.001)
ROM–AJ (°)−0.382 (<0.001)−0.250 (0.003)−0.287 (0.001)−0.281 (0.001)−0.375 (<0.001)
ROM–KJ (°)−0.429 (<0.001)−0.107 (0.210)−0.327 (<0.001)−0.340 (<0.001)−0.434 (<0.001)
ROM–HJ (°)−0.517 (<0.001)−0.118 (0.168)−0.408 (<0.001)−0.422 (<0.001)−0.332 (<0.001)
HS (°)−0.454 (<0.001)−0.133(0.121)−0.398 (<0.001)−0.379 (<0.001)−0.246 (0.004)
TO (°)−0.171 (0.044)−0.089 (0.302)−0.105 (0.220)−0.144 (<0.001)−0.067 (0.434)
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Zhu, S.; Wu, Z.; Wang, Y.; Jiang, Y.; Gu, R.; Zhong, M.; Jiang, X.; Shen, B.; Zhu, J.; Yan, J.; et al. Correction: Zhu et al. Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson’s Disease. Brain Sci. 2022, 12, 1213. Brain Sci. 2023, 13, 1429. https://doi.org/10.3390/brainsci13101429

AMA Style

Zhu S, Wu Z, Wang Y, Jiang Y, Gu R, Zhong M, Jiang X, Shen B, Zhu J, Yan J, et al. Correction: Zhu et al. Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson’s Disease. Brain Sci. 2022, 12, 1213. Brain Sciences. 2023; 13(10):1429. https://doi.org/10.3390/brainsci13101429

Chicago/Turabian Style

Zhu, Sha, Zhuang Wu, Yaxi Wang, Yinyin Jiang, Ruxin Gu, Min Zhong, Xu Jiang, Bo Shen, Jun Zhu, Jun Yan, and et al. 2023. "Correction: Zhu et al. Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson’s Disease. Brain Sci. 2022, 12, 1213" Brain Sciences 13, no. 10: 1429. https://doi.org/10.3390/brainsci13101429

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop