journal article·2025-02-26Open access

Exploring the Impact of Electroencephalography-Based Neurofeedback (EEG NFB) on Motor Deficits in Parkinson’s Disease: A Targeted Literature Review

Laura Blaznik, Uros Marusic

Applied Sciences· Volume 15· Issue 5

Abstract

Parkinson’s disease (PD) is a progressive neurodegenerative disorder, with pharmacological treatments predominantly focusing on dopaminergic therapies. In the early stages of PD, symptoms may also be alleviated through non-pharmacological interventions. One such non-invasive technique is electroencephalogram neurofeedback (EEG NFB), which has shown promising results in improving the cognitive and motor functions of PD patients. The aim of our study was to assess the existing evidence, identify key trends and determine potential opportunities for future research in the field of EEG NFB for PD. This analysis explores the impact of EEG NFB on motor deficits in PD and identifies key factors for the successful implementation of EEG NFB as evidenced in the literature. The synthesis includes findings from five relevant studies, including one case study, one pilot study and three randomized controlled trials. Study selection followed the PICO framework to ensure relevance and rigor. The results suggest a correlation between sensorimotor rhythm (SMR) and beta rhythms, with increases in SMR (13–15 Hz) and beta (12–15 Hz) rhythms linked to improvements in balance, mobility and stability in PD patients. However, limitations such as small sample sizes, brief intervention durations and lack of follow-up warrant a cautious interpretation. Future research should prioritize robust protocols, larger samples and extended neurofeedback training to fully assess EEG NFB’s potential for PD management.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: EEG and Brain-Computer Interfaces · Neurological disorders and treatments · Parkinson's Disease Mechanisms and Treatments

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Faculty of Education, University of Ljubljana, 1000 Ljubljana, Slovenia

Institute for Kinesiology Research, Science and Research Centre Koper, 6000 Koper, Slovenia

Department of Health Sciences, Alma Mater Europaea University, 2000 Maribor, Slovenia

Funding

European Union’s Horizon Europe · Slovenian Research and Innovation Agency (ARIS): Research program Kinesiology for quality of life · Research project Adaptation and sensorimotor processing during increased gravity gradients

References (41)

Show source-provided references
1. Treatment options for postural instability and gait difficulties in Parkinson’s disease10.1080/14737175.2019.1656067 ↗
2. Parkinson Study Group (2004). Levodopa and the progression of Parkinson’s disease. N. Engl. J. Med., 351, 2498–2508.10.1056/NEJMoa033447 ↗
3. Levodopa in the treatment of Parkinson’s disease: Current status and new developments
4. Dopamine Receptors and Parkinson′s Disease
5. Continuous dopamine-receptor stimulation in early Parkinson’s disease10.1016/S1471-1931(00)00030-6 ↗
6. Emamzadeh, F.N., and Surguchov, A. (2018). Parkinson’s disease: Biomarkers, treatment, and risk factors. Front. Neurosci., 12.10.3389/fnins.2018.00612 ↗
7. Conscious control of brain waves
8. Neurofeedback and physical balance in Parkinson’s patients10.1016/j.gaitpost.2014.03.179 ↗
9. What is neurofeedback: An update10.1080/10874208.2011.623090 ↗
10. Neurofeedback: A Comprehensive Review on System Design, Methodology and Clinical Applications
11. Review of the therapeutic neurofeedback method using electroencephalography: EEG Neurofeedback
12. Schuurman, B.B., Lousberg, R.L., Schreiber, J.U., van Amelsvoort, T.A., and Vossen, C.J. (2024). A Scoping Review of the Effect of EEG Neurofeedback on Pain Complaints in Adults with Chronic Pain. J. Clin. Med., 13.10.3390/jcm13102813 ↗
13. Operant behavior10.1037/h0045185 ↗
14. EEG-neurofeedback training of beta band (12–22 Hz) affects alpha and beta frequencies–A controlled study of a healthy population10.1016/j.neuropsychologia.2017.11.021 ↗
15. Closed-loop brain training: The science of neurofeedback10.1038/nrn.2016.164 ↗
16. Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): Methodology and exemplary data10.1016/S1053-8119(03)00145-9 ↗
17. Bichsel, O., Stieglitz, L.H., Oertel, M.F., Baumann, C.R., Gassert, R., and Imbach, L.L. (2021). Deep brain electrical neurofeedback allows Parkinson patients to control pathological oscillations and quicken movements. Sci. Rep., 11.10.1038/s41598-021-87031-2 ↗
18. Kohl, S.H., Mehler, D.M., Lührs, M., Thibault, R.T., Konrad, K., and Sorger, B. (2020). The potential of functional near-infrared spectroscopy-based neurofeedback—A systematic review and recommendations for best practice. Front. Neurosci., 14.10.3389/fnins.2020.00594 ↗
19. The role of the frontal lobe in complex walking among patients with Parkinson’s disease and healthy older adults: An fNIRS study10.1177/1545968316650426 ↗
20. Real-time MEG neurofeedback training of posterior alpha activity modulates subsequent visual detection performance10.1016/j.neuroimage.2014.12.014 ↗
21. MEG-based neurofeedback for hand rehabilitation10.1186/s12984-015-0076-7 ↗
22. Mechanisms of neurofeedback: A computation-theoretic approach10.1016/j.neuroscience.2017.05.052 ↗
23. Über das elektroenkephalogramm des menschen10.1007/BF01797193 ↗
24. Abarbanel, A., Evans, J.R., Budzynski, T.H., and Budzynski, H.K. (2009). Introduction to Quantitative EEG and Neurofeedback: Advanced Theory and Applications, Academic Press.
25. Wang, H., Hou, Y., Zhan, S., Li, N., Liu, J., Song, P., Wang, Y., and Wang, H. (2023). EEG biofeedback decreases theta and beta power while increasing alpha power in insomniacs: An open-label study. Brain Sci., 13.10.3390/brainsci13111542 ↗
26. Application of electroencephalographic (EEG) biofeedback therapy in the rehabilitation of patients with chronic diseases10.1016/j.psychres.2020.113371 ↗
27. Kopańska, M., Ochojska, D., Mytych, W., Lis, M.W., and Banaś-Ząbczyk, A. (2022). Development of a brain wave model based on the quantitative analysis of EEG and EEG biofeedback therapy in patients with panic attacks during the COVID-19 pandemic. Sci. Rep., 12.10.1038/s41598-022-19068-w ↗
28. Efficacy of bio-and neurofeedback for depression: A meta-analysis10.1017/S0033291721004396 ↗
29. Comparison study of EEG biofeedback therapy on clinical efficacy of children with different subtypes of attention deficit hyperactivity disorder
30. The Effects of EEG Biofeedback Training on Visual Reaction Time in Judo Athletes10.5114/jhk/174272 ↗
31. The PICO strategy for the research question construction and evidence search10.1590/S0104-11692007000300023 ↗
32. Systematic reviews and meta-analyses
33. PRISMA-S: An extension to the PRISMA statement for reporting literature searches in systematic reviews10.1186/s13643-020-01542-z ↗
34. Biofeedback for movement disorders (dystonia with Parkinson’s disease): Theory and preliminary results10.1300/J184v06n04_06 ↗
35. Evaluation of neurofeedback training in the treatment of Parkinson’s disease: A pilot study10.1080/10874208.2012.650109 ↗
36. Cook, A.J., Pfeifer, K.J., and Tass, P.A. (2021). A single case feasibility study of sensorimotor rhythm neurofeedback in Parkinson’s disease. Front. Neurosci., 15.10.3389/fnins.2021.623317 ↗
37. Multimodal biofeedback for Parkinson’s disease motor and nonmotor symptoms10.26599/BSA.2023.9050015 ↗
38. Hodnik, T., Roytman, S., Bohnen, N.I., and Marusic, U. (2024). Beta–Gamma Phase-Amplitude Coupling as a Non-Invasive Biomarker for Parkinson’s Disease: Insights from Electroencephalography Studies. Life, 14.10.3390/life14030391 ↗
39. Parkinsonism: Onset, progression and mortality10.1212/WNL.17.5.427 ↗
40. Neurofeedback for cognitive enhancement and intervention and brain plasticity10.1016/j.neurol.2021.08.004 ↗
41. Neurofeedback and networks of depression10.31887/DCNS.2014.16.1/dlinden ↗