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        <titl xml:lang="sv">Park-MOVE - fNIRS study of complex walking in Parkinson's disease</titl>
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        <titl xml:lang="sv">Park-MOVE - fNIRS study of complex walking in Parkinson's disease</titl>
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        <IDNo agency="DOI">10.1016/j.nicl.2024.103637</IDNo>
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        <AuthEnty xml:lang="en" affiliation="Department of Neurobiology, Care Sciences and Society, Karolinska Institute">Franzén, Erika</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="Institutionen för neurobiologi, vårdvetenskap och samhälle, Karolinska Institutet">Franzén, Erika</AuthEnty>
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        <grantNo xml:lang="en" agency="Swedish Research Council">2022-00636_VR</grantNo>
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      <subject>
        <keyword xml:lang="en" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D010300">Parkinson Disease</keyword>
        <keyword xml:lang="sv" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D010300">Parkinsons sjukdom</keyword>
        <keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id/6/1e3ef047-f875-4412-a98f-e7e0596c678c">PHYSIOTHERAPY</keyword>
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        <keyword xml:lang="en" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D009484">Neuropsychology</keyword>
        <keyword xml:lang="sv" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D009484">Neuropsykologi</keyword>
        <keyword xml:lang="en" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D059907">Functional Neuroimaging</keyword>
        <keyword xml:lang="sv" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D059907">Funktionell neuroavbildning</keyword>
        <keyword xml:lang="en" vocab="ICD-10" vocabURI="https://icd.who.int/browse10/2019/en#/G20">Parkinson disease</keyword>
        <keyword xml:lang="sv" vocab="ICD-10" vocabURI="https://icd.who.int/browse10/2019/en#/G20">Parkinsons sjukdom</keyword>
        <keyword xml:lang="en" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000077107">Gait Analysis</keyword>
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      <abstract xml:lang="en" contentType="abstract">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).

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.</abstract>
      <abstract xml:lang="sv" contentType="abstract">Tillgänglighet:

Deltagarna i denna studie har inte gett skriftligt samtycke till att deras data delas offentligt,  på grund av forskningens känsliga natur är data ej tillgängligt.

Detta dataset innehåller data insamlad mellan 2021 och 2023 för projektet Park-MOVE.

Detta projekt ämnar att undersöka hjärnaktivitet under komplexa gånguppgifter som innehåller en kombination av kognitiva färdigheter och motoriska färdigheter. Målet av studien är att studera effekter av åldrande och neurologisk sjukdom på utförandet av sådana uppgifter och neurala korrelat av dessa, genom att använda icke-invasiva mått av hjärnaktivitet med funktionell nära infraröd spektroskopi, fNIRS, och avancerade gånganalysmetoder.

Data är insamlad från yngre vuxna (YA), äldre vuxna (OA) och människor med Parkinsons sjukdom (PD).

I detta dataset finns data från 42 YA, 49 OA, och 42 PD.

Detta dataset innehåller följande typer av data:

- fNIRS data
- Klinisk data
- Frågeformulärdata
- Data från inertial measurement units (IMU)
- Data gällande hur väl deltagare utförde uppgifter i gångprotokollen
- Neuropsykologisk testbatteridata

Se project_overview.md för en översikt av data.
Varje datatyp har en detaljerad README-fil som detaljerar hur data har processats.

Det mesta av datan är lagrad i CSV-format och kan läsas av många olika program. fNIRS-datan är lagrad i standardformaten BIDS och SNIRF. Gångparametrar uträknade från IMU-data är lagrade i CSV-format, men rådata finns också tillgängligt i formatet Apache Parquet, som kan läsas till exempel av Pythonbiblioteket Pandas.</abstract>
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            <titl xml:lang="sv">Kvist, A., Bezuidenhout, L., Johansson, H., Albrecht, F., Moulaee Conradsson, D., &amp; 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</titl>
            <parTitl xml:lang="en">Kvist, A., Bezuidenhout, L., Johansson, H., Albrecht, F., Moulaee Conradsson, D., &amp; 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</parTitl>
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