Park-MOVE - fNIRS study of complex walking in Parkinson's disease

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..