Park-MOVE - fNIRS study of complex walking in Parkinson's disease
SND-ID: 2023-217. Version: 1. DOI: https://doi.org/10.48723/vscr-eq07
Citation
Creator/Principal investigator(s)
Erika Franzén - Karolinska Institute, Department of Neurobiology, Care Sciences and Society
Research principal
Principal's reference number
2020-03059
Description
Data availability:
The participants of this study did not give written consent for their data to be shared publicly, so due to the sensitive nature of the research the data is not available.
This dataset contains data collected between 2021 and 2023 for the Park-MOVE project.
This project aims to explore brain activity during complex walking tasks involving a combination of motor and cognitive skills. The aim is to study the effects of aging and neurological disease on the performance and neural correlates of these tasks, using non-invasive measures of brain activity with functional near infrared spectroscopy, fNIRS, and advanced gait analysis methods.
Data is collected from younger healthy adults (YA), older healthy adults (OA) and people with Parkinson's disease (PD).
The participants of this study did not give written consent for their data to be shared publicly, so due to the sensitive nature of the research the data is not available.
This dataset contains data collected between 2021 and 2023 for the Park-MOVE project.
This project aims to explore brain activity during complex walking tasks involving a combination of motor and cognitive skills. The aim is to study the effects of aging and neurological disease on the performance and neural correlates of these tasks, using non-invasive measures of brain activity with functional near infrared spectroscopy, fNIRS, and advanced gait analysis methods.
Data is collected from younger healthy adults (YA), older healthy adults (OA) and people with Parkinson's disease (PD).
In this dataset, there is data from 42 YA, 49 OA, and 42 PD.
The dataset contains the following types of data:
- fNIRS data
- Clinical data
- Questionnaire data
- Inertial measurement unit (IMU) data
- Walking protocol task performance data
- Neuropsychological test battery data
See project_overview.md for an overview of data.
Each type of data has a detailed README file detailing how data has been processed.
Most of the data is stored in CSV format and can be read by any program. The fNIRS data is stored in the BIDS and SNIRF standard formats. Gait parameters calculated from IMU data are stored in CSV format, but raw data is also available in the Apache Parquet format, which can be read using e.g. the Pandas Python library. Show less..
Data contains personal data
Yes
Sensitive personal data
Yes
Type of personal data
Health data, medical data
Code key exists
Yes
Unit of analysis
Population
Healthy adults, Parkinson's disease
Time Method
Study design
Cross-sectional study
Sampling procedure
Time period(s) investigated
2021 – 2023
Number of individuals/objects
133
Geographic spread
Geographic location: Stockholm County
Ethics Review
Swedish Ethical Review Authority - Ref. 2020-03059
Research area
Neurosciences (Standard för svensk indelning av forskningsämnen 2011)
Physiotherapy (Standard för svensk indelning av forskningsämnen 2011)
Kvist, A., Bezuidenhout, L., Johansson, H., Albrecht, F., Moulaee Conradsson, D., & Franzén, E. (2024). Validation of fNIRS measurement of executive demand during walking with and without dual-task in younger and older adults and people with Parkinson’s disease. In NeuroImage. Clinical (Vol. 43, pp. 103637-). https://doi.org/10.1016/j.nicl.2024.103637
DOI:
https://doi.org/10.1016/j.nicl.2024.103637
SwePub:
oai:prod.swepub.kib.ki.se:238964222
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