NCT06582355

Brief Summary

Rationale: Current treatment of patients with Parkinson's disease (PD) is mainly based on the modulation of neural activity in the motor circuits of the basal ganglia and cerebral cortex by either drug intervention (dopamine replacement therapy or dopaminergic medication) or deep brain stimulation (DBS). However, many Parkinson patients have an insufficient (long-term) response to medical treatments, and DBS is an invasive procedure with resource implications and potential side effects. Moreover, not all patients are eligible for DBS. Therefore, new ways of administering neuromodulation are needed. A potential avenue may be self-regulation of brain circuits through neurofeedback. Self-regulation of motor circuits through mental imagery and neurofeedback using real-time functional MRI (fMRI) signals has already been shown to be feasible, and there are also preliminary data on clinical benefits of such self-regulation training. We here aim to use the non-invasive fMRI-neurofeedback method to train patients in the regulation of brain circuits that are implicated in successful drug treatment and/or DBS. Objective: To investigate brain mechanisms and efficacy of an fMRI-neurofeedback protocol that targets the brain's motor circuits through the basal ganglia. Study design: Randomised controlled trial Study population: Patients with Parkinson's disease Investigation: In the experimental group, fMRI-neurofeedback will be administered in 4 separate sessions of about 2 hours each over approximately one month. The MRI measurement in each session will be approximately 60 minutes long and include upregulation training of brain activity in specific target areas by mental imagery. The fMRI signals are processed such that the patients get visual feedback about the success of the upregulation. In addition, patients are asked to practice the self-regulation strategies on a daily basis at home between the neurofeedback sessions. The control intervention will consist of mental imagery without neurofeedback. Main study parameters/endpoints: Post-interventional improvement of motor symptoms of PD as assessed by the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) motor scale in the on-medication state. Nature and extent of the burden and risks associated with participation, benefit and group relatedness: This is a low-risk study where the main burden is participation time and MRI scans.

Trial Health

80
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
60

participants targeted

Target at P50-P75 for not_applicable parkinson-disease

Timeline
7mo left

Started Feb 2025

Geographic Reach
2 countries

2 active sites

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress69%
Feb 2025Dec 2026

First Submitted

Initial submission to the registry

May 6, 2024

Completed
4 months until next milestone

First Posted

Study publicly available on registry

September 3, 2024

Completed
5 months until next milestone

Study Start

First participant enrolled

February 10, 2025

Completed
1.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 1, 2026

Expected
5 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2026

Last Updated

March 24, 2025

Status Verified

May 1, 2024

Enrollment Period

1.4 years

First QC Date

May 6, 2024

Last Update Submit

March 20, 2025

Conditions

Keywords

Parkinson DiseaseNeurofeedbackfMRI

Outcome Measures

Primary Outcomes (1)

  • MDS-UPDRS (Unified Parkinson's Disease Rating Scale)

    Pre versus Post-interventional change in the MDS-UPDRS (Unified Parkinson's Disease Rating Scale) motor scale will be compared using t statistics. The MDS-UPDRS contains 65 scores, each with a range from 0 (no impairment) to 4 (severe impairment). The total scale ranges between 0 - 260, with 0 indicating no impairment and 260 indicating the highest level of impairment. As primary outcome measure we will use Part III: Motor Examination, which has 33 scores. The measurement at the last MRI session will be the primary endpoint.

    After screening, after the last MRI session (approx. 5 weeks after screening) and at follow up session (approx. 4 weeks after final MRI session)

Secondary Outcomes (4)

  • Performance of Putamen neurofeedback training (fMRI analysis)

    Measurements will be recorded at each MRI session (approx. 1 week intervals after screening and inclusion)

  • Whole brain activation pattern changes (fMRI analysis)

    Measurements will be recorded at each MRI session (approx. 1 week intervals after screening and inclusion)

  • Neurofeedback training effects on non-motor symptoms

    After screening, after the last MRI session (approx. 5 weeks after screening) and at follow up session (approx. 4 weeks after final MRI session)

  • Correlation between NF success and distal finger tapping test (behavioral measure)

    After screening, after the last MRI session (approx. 5 weeks after screening) and at follow up session (approx. 4 weeks after final MRI session)

Other Outcomes (1)

  • Neurofeedback training effects on motor symptoms and experiences

    After screening, after the last MRI session (approx. 5 weeks after screening) and at follow up session (approx. 4 weeks after final MRI session)

Study Arms (2)

Neurofeedback

EXPERIMENTAL

Four weekly MRI sessions where they will learn to upregulate the activity of the putamen during motor imagery via fMRI neurofeedback.

Other: Neurofeedback

Kinesthetic imagery

ACTIVE COMPARATOR

Four weekly MRI sessions with motor imagery without fMRI neurofeedback.

Other: Kinesthetic imagery

Interventions

The participants will be instructed to use cognitive strategies to upregulate (increase) their brain activity in the selected brain region, with the suggestion that motor imagery may be particularly effective, for example, mental imagery of swimming or playing a musical instrument. During the rest blocks, the participants will be instructed to relax. The instructions to start and stop the regulation and rest blocks are visualized on a screen in the scanner, and the brain activity of the putamen will be displayed in real-time using a thermometer bar for visualization.

Neurofeedback

The participants will be instructed to imagine movements during the active blocks. During the rest blocks, the participants will be instructed to relax. The instructions to start and stop the regulation and rest blocks are visualized on a screen in the scanner. No feedback is provided regarding brain activity.

Kinesthetic imagery

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Diagnosis of Parkinson's disease.
  • Disease stage 1-3 according to the Hoehn and Yahr Scale
  • Age: 18 years or more

You may not qualify if:

  • History of psychotic disorder, bipolar disorder, or psychotic depression
  • Current use of illegal drugs (any in the last four weeks)
  • Current excessive alcohol consumption that interferes with daily functioning
  • A score on the Montreal Cognitive Assessment (MoCA) below 24/30.
  • Any disorder that would interfere with accurate and usable data acquisition.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Uniklinik Köln

Cologne, Germany

NOT YET RECRUITING

Maastricht University

Maastricht, Netherlands

RECRUITING

Related Publications (23)

  • Akram N, Li H, Ben-Joseph A, Budu C, Gallagher DA, Bestwick JP, Schrag A, Noyce AJ, Simonet C. Developing and assessing a new web-based tapping test for measuring distal movement in Parkinson's disease: a Distal Finger Tapping test. Sci Rep. 2022 Jan 10;12(1):386. doi: 10.1038/s41598-021-03563-7.

    PMID: 35013372BACKGROUND
  • Emmert K, Kopel R, Sulzer J, Bruhl AB, Berman BD, Linden DEJ, Horovitz SG, Breimhorst M, Caria A, Frank S, Johnston S, Long Z, Paret C, Robineau F, Veit R, Bartsch A, Beckmann CF, Van De Ville D, Haller S. Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated? Neuroimage. 2016 Jan 1;124(Pt A):806-812. doi: 10.1016/j.neuroimage.2015.09.042. Epub 2015 Sep 28.

    PMID: 26419389BACKGROUND
  • Esmail, S., & Linden, D. E. J. (2014). Neural Networks and Neurofeedback in Parkinson's Disease. NeuroRegulation, 1(3-4), 240-240. https://doi.org/10.15540/nr.1.3-4.240

    BACKGROUND
  • Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007 May;39(2):175-91. doi: 10.3758/bf03193146.

    PMID: 17695343BACKGROUND
  • Hamilton JP, Glover GH, Bagarinao E, Chang C, Mackey S, Sacchet MD, Gotlib IH. Effects of salience-network-node neurofeedback training on affective biases in major depressive disorder. Psychiatry Res Neuroimaging. 2016 Mar 30;249:91-6. doi: 10.1016/j.pscychresns.2016.01.016. Epub 2016 Jan 19.

    PMID: 26862057BACKGROUND
  • Jaeckle T, Williams SCR, Barker GJ, Basilio R, Carr E, Goldsmith K, Colasanti A, Giampietro V, Cleare A, Young AH, Moll J, Zahn R. Self-blame in major depression: a randomised pilot trial comparing fMRI neurofeedback with self-guided psychological strategies. Psychol Med. 2023 May;53(7):2831-2841. doi: 10.1017/S0033291721004797. Epub 2021 Dec 2.

    PMID: 34852855BACKGROUND
  • Johnston SJ, Boehm SG, Healy D, Goebel R, Linden DE. Neurofeedback: A promising tool for the self-regulation of emotion networks. Neuroimage. 2010 Jan 1;49(1):1066-72. doi: 10.1016/j.neuroimage.2009.07.056. Epub 2009 Jul 29.

    PMID: 19646532BACKGROUND
  • Karch, S., Keeser, D., Paolini, M., Hümmer, S., Konrad, J., Haller, D., Kirsch, V., Koller, G., Kupka, M., Blautzik, J., & Pogarell, O. (2015). Real-time fMRI neurofeedback: Applica-tion in patients with substance use disorder. Pharmacopsychiatry, 25(6), A77. https://doi.org/10.1055/s-0035-1558015

    BACKGROUND
  • Linden DE. Neurofeedback and networks of depression. Dialogues Clin Neurosci. 2014 Mar;16(1):103-12. doi: 10.31887/DCNS.2014.16.1/dlinden.

    PMID: 24733975BACKGROUND
  • Linden DE, Habes I, Johnston SJ, Linden S, Tatineni R, Subramanian L, Sorger B, Healy D, Goebel R. Real-time self-regulation of emotion networks in patients with depression. PLoS One. 2012;7(6):e38115. doi: 10.1371/journal.pone.0038115. Epub 2012 Jun 4.

    PMID: 22675513BACKGROUND
  • MacDuffie KE, MacInnes J, Dickerson KC, Eddington KM, Strauman TJ, Adcock RA. Single session real-time fMRI neurofeedback has a lasting impact on cognitive behavioral therapy strategies. Neuroimage Clin. 2018 Jun 9;19:868-875. doi: 10.1016/j.nicl.2018.06.009. eCollection 2018.

    PMID: 29922575BACKGROUND
  • Mehler DMA, Sokunbi MO, Habes I, Barawi K, Subramanian L, Range M, Evans J, Hood K, Luhrs M, Keedwell P, Goebel R, Linden DEJ. Targeting the affective brain-a randomized controlled trial of real-time fMRI neurofeedback in patients with depression. Neuropsychopharmacology. 2018 Dec;43(13):2578-2585. doi: 10.1038/s41386-018-0126-5. Epub 2018 Jun 23.

    PMID: 29967368BACKGROUND
  • Mehler DMA, Williams AN, Krause F, Luhrs M, Wise RG, Turner DL, Linden DEJ, Whittaker JR. The BOLD response in primary motor cortex and supplementary motor area during kinesthetic motor imagery based graded fMRI neurofeedback. Neuroimage. 2019 Jan 1;184:36-44. doi: 10.1016/j.neuroimage.2018.09.007. Epub 2018 Sep 8.

    PMID: 30205210BACKGROUND
  • Paret C, Zaehringer J, Ruf M, Ende G, Schmahl C. The orbitofrontal cortex processes neurofeedback failure signals. Behav Brain Res. 2019 Sep 2;369:111938. doi: 10.1016/j.bbr.2019.111938. Epub 2019 May 6.

    PMID: 31071348BACKGROUND
  • Postuma RB, Berg D, Stern M, Poewe W, Olanow CW, Oertel W, Obeso J, Marek K, Litvan I, Lang AE, Halliday G, Goetz CG, Gasser T, Dubois B, Chan P, Bloem BR, Adler CH, Deuschl G. MDS clinical diagnostic criteria for Parkinson's disease. Mov Disord. 2015 Oct;30(12):1591-601. doi: 10.1002/mds.26424.

    PMID: 26474316BACKGROUND
  • Sarasso E, Gardoni A, Zenere L, Canu E, Basaia S, Pelosin E, Volonte MA, Filippi M, Agosta F. Action observation and motor imagery improve motor imagery abilities in patients with Parkinson's disease - A functional MRI study. Parkinsonism Relat Disord. 2023 Nov;116:105858. doi: 10.1016/j.parkreldis.2023.105858. Epub 2023 Sep 22.

    PMID: 37774517BACKGROUND
  • Sitaram R, Ros T, Stoeckel L, Haller S, Scharnowski F, Lewis-Peacock J, Weiskopf N, Blefari ML, Rana M, Oblak E, Birbaumer N, Sulzer J. Closed-loop brain training: the science of neurofeedback. Nat Rev Neurosci. 2017 Feb;18(2):86-100. doi: 10.1038/nrn.2016.164. Epub 2016 Dec 22.

    PMID: 28003656BACKGROUND
  • Skottnik L, Linden DEJ. Mental Imagery and Brain Regulation-New Links Between Psychotherapy and Neuroscience. Front Psychiatry. 2019 Oct 30;10:779. doi: 10.3389/fpsyt.2019.00779. eCollection 2019.

    PMID: 31736799BACKGROUND
  • Skottnik L, Sorger B, Kamp T, Linden D, Goebel R. Success and failure of controlling the real-time functional magnetic resonance imaging neurofeedback signal are reflected in the striatum. Brain Behav. 2019 Mar;9(3):e01240. doi: 10.1002/brb3.1240. Epub 2019 Feb 20.

    PMID: 30790474BACKGROUND
  • Subramanian L, Hindle JV, Johnston S, Roberts MV, Husain M, Goebel R, Linden D. Real-time functional magnetic resonance imaging neurofeedback for treatment of Parkinson's disease. J Neurosci. 2011 Nov 9;31(45):16309-17. doi: 10.1523/JNEUROSCI.3498-11.2011.

    PMID: 22072682BACKGROUND
  • Subramanian L, Morris MB, Brosnan M, Turner DL, Morris HR, Linden DE. Functional Magnetic Resonance Imaging Neurofeedback-guided Motor Imagery Training and Motor Training for Parkinson's Disease: Randomized Trial. Front Behav Neurosci. 2016 Jun 8;10:111. doi: 10.3389/fnbeh.2016.00111. eCollection 2016.

    PMID: 27375451BACKGROUND
  • Young KD, Siegle GJ, Zotev V, Phillips R, Misaki M, Yuan H, Drevets WC, Bodurka J. Randomized Clinical Trial of Real-Time fMRI Amygdala Neurofeedback for Major Depressive Disorder: Effects on Symptoms and Autobiographical Memory Recall. Am J Psychiatry. 2017 Aug 1;174(8):748-755. doi: 10.1176/appi.ajp.2017.16060637. Epub 2017 Apr 14.

    PMID: 28407727BACKGROUND
  • Zahn R, Weingartner JH, Basilio R, Bado P, Mattos P, Sato JR, de Oliveira-Souza R, Fontenelle LF, Young AH, Moll J. Blame-rebalance fMRI neurofeedback in major depressive disorder: A randomised proof-of-concept trial. Neuroimage Clin. 2019;24:101992. doi: 10.1016/j.nicl.2019.101992. Epub 2019 Aug 25.

    PMID: 31505367BACKGROUND

MeSH Terms

Conditions

Parkinson Disease

Interventions

Neurofeedback

Condition Hierarchy (Ancestors)

Parkinsonian DisordersBasal Ganglia DiseasesBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesMovement DisordersSynucleinopathiesNeurodegenerative Diseases

Intervention Hierarchy (Ancestors)

Biofeedback, PsychologyMind-Body TherapiesComplementary TherapiesTherapeuticsBehavior TherapyPsychotherapyBehavioral Disciplines and ActivitiesFeedback, Psychological

Study Officials

  • David EJ Linden, Prof.

    Maastricht University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Masking Details
The outcome assessor will be unaware of which condition the participant is in.
Purpose
TREATMENT
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

May 6, 2024

First Posted

September 3, 2024

Study Start

February 10, 2025

Primary Completion (Estimated)

July 1, 2026

Study Completion (Estimated)

December 1, 2026

Last Updated

March 24, 2025

Record last verified: 2024-05

Data Sharing

IPD Sharing
Will not share

Locations