Exploring fNIRS-guided neurofeedback for supplementary motor area training in Parkinson’s disease and healthy older adults

Parkinson's disease (PD) is typically treated with medication, which often leads to side effects. This study investigated a non-pharmacological approach combining motor imagery (MI) with neurofeedback (NFB) guided by functional near-infrared spectroscopy (fNIRS) to enhance supplementary motor area (SMA) activation during MI. Three groups (N = 18 each) completed four sessions: a PD-NFB group, a healthy NFB group, and a healthy control group without NFB. The NFB groups received feedback based on decreased Δ[HbR], reflecting increased brain activity. The control group performed MI without feedback. Participants in the NFB groups generally perceived NFB to be manageable. The healthy NFB group showed significantly higher SMA activation than the noNFB group. No significant differences were observed between the PD and healthy NFB groups, or between baseline and NFB-MI in PD. This first fNIRS-guided MI-NFB study in PD (German Clinical Trials Register, DRKS-ID: DRKS00022997, DOR: 2020-10-02). Shows promise for motor rehabilitation, but also highlights further research and protocol refinement.

Authors

Institutions

Publication Details

Journal
npj Parkinson s Disease
Published
2026-05-21
DOI
https://doi.org/10.1038/s41531-026-01321-y
Primary Topic
Optical Imaging and Spectroscopy Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring fNIRS-guided neurofeedback for supplementary motor area training in Parkinson’s disease and healthy older adults

Stefan Debener, Cornelia Kranczioch, Stefanie Topp, Franziska Klein et al.
npj Parkinson s Disease
Optical Imaging and Spectroscopy Techniques
article

Exploring fNIRS-guided neurofeedback for supplementary motor area training in Parkinson’s disease and healthy older adults

Stefan Debener, Cornelia Kranczioch, Stefanie Topp, Franziska Klein, Michael Lührs, Karsten Witt
article en

Abstract

Parkinson's disease (PD) is typically treated with medication, which often leads to side effects. This study investigated a non-pharmacological approach combining motor imagery (MI) with neurofeedback (NFB) guided by functional near-infrared spectroscopy (fNIRS) to enhance supplementary motor area (SMA) activation during MI. Three groups (N = 18 each) completed four sessions: a PD-NFB group, a healthy NFB group, and a healthy control group without NFB. The NFB groups received feedback based on decreased Δ[HbR], reflecting increased brain activity. The control group performed MI without feedback. Participants in the NFB groups generally perceived NFB to be manageable. The healthy NFB group showed significantly higher SMA activation than the noNFB group. No significant differences were observed between the PD and healthy NFB groups, or between baseline and NFB-MI in PD. This first fNIRS-guided MI-NFB study in PD (German Clinical Trials Register, DRKS-ID: DRKS00022997, DOR: 2020-10-02). Shows promise for motor rehabilitation, but also highlights further research and protocol refinement.

npj Parkinson s Disease
Carl von Ossietzky Universität Oldenburg (DE), Oldenburger Institut für Informatik (DE), Maastricht University (NL), Universitätsklinikum Aachen (DE), Brain Innovation (Netherlands) (NL), Evangelisches Krankenhaus Oldenburg (DE), RWTH Aachen University (DE)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung
Good health and well-being
Openalex Percentile: Top 5%
Optical Imaging and Spectroscopy Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.