NCT06729658

Brief Summary

The use of Brain-Computer Interface system (BCI system) allows for the detection of neurophysiological signals on the surface of the head and provides feedback to subjects or patients. For patients with neurological disorders who have severe motor deficits, self-generated brain signals can be translated, for example, into orthosis-supported movement of the paralyzed limb. Another possibility is to translate the brain signal into peripheral electrostimulation (functional electrical stimulation, FES), which generates muscle contraction and thus movement. Fundamentally, BCI technology can be used as a replacement therapy when no recovery of motor function is expected. Another important application lies in improving motor training, relearning, and initiating movements. In the latter case, it is hoped that BCI training will stimulate neuroplastic mechanisms that lead to functional improvement. Problems on the translational path to clinical application are:

  • The high interindividual variability between different people regarding learning to control the BCI system;
  • The extent of learning and motor improvement is often limited For this reason, the present study aims to investigate whether dopaminergic influence on the brain affects the effectiveness of using a BCI system in healthy subjects.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
22

participants targeted

Target at P25-P50 for early_phase_1

Timeline
Completed

Started Oct 2017

Longer than P75 for early_phase_1

Geographic Reach
1 country

1 active site

Status
completed

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 Start

First participant enrolled

October 1, 2017

Completed
5.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 27, 2023

Completed
1.4 years until next milestone

Study Completion

Last participant's last visit for all outcomes

August 6, 2024

Completed
21 days until next milestone

First Submitted

Initial submission to the registry

August 27, 2024

Completed
4 months until next milestone

First Posted

Study publicly available on registry

December 11, 2024

Completed
Last Updated

May 31, 2025

Status Verified

May 1, 2025

Enrollment Period

5.4 years

First QC Date

August 27, 2024

Last Update Submit

May 27, 2025

Conditions

Keywords

DopamineBrain Computer InterfaceMotor controlNeuroplasticityMRIQuantitative MRIDiffusion MRI

Outcome Measures

Primary Outcomes (11)

  • Changes in brain structure as assessed by MTsat

    Characterization of underlying structural changes by comprehensive assessment of brain tissue properties, allowing for sensitive detection of subtle neuroplastic changes across magnetization transfer saturation (MTsat) before and after the intervention.

    Total of 4 MRIs: 1 MRI 1 week before the intervention, 1 MRI the day before the intervention week, 1 MRI 1 day after the intervention week, and 1 MRI 1 week after.

  • Changes in brain structure as assessed by PD

    Characterization of underlying structural changes by comprehensive assessment of brain tissue properties, allowing for sensitive detection of subtle neuroplastic changes across proton density (PD) before and after the intervention.

    Total of 4 MRIs: 1 MRI 1 week before the intervention, 1 MRI the day before the intervention week, 1 MRI 1 day after the intervention week, and 1 MRI 1 week after.

  • Changes in brain structure as assessed by R1

    Characterization of underlying structural changes by comprehensive assessment of brain tissue properties, allowing for sensitive detection of subtle neuroplastic changes across longitudinal transverse relaxation rate R1 before and after the intervention.

    Total of 4 MRIs: 1 MRI 1 week before the intervention, 1 MRI the day before the intervention week, 1 MRI 1 day after the intervention week, and 1 MRI 1 week after.

  • Changes in brain structure as assessed by R2*

    Characterization of underlying structural changes by comprehensive assessment of brain tissue properties, allowing for sensitive detection of subtle neuroplastic changes across effective transverse relaxation rate R2\* before and after the intervention.

    Total of 4 MRIs: 1 MRI 1 week before the intervention, 1 MRI the day before the intervention week, 1 MRI 1 day after the intervention week, and 1 MRI 1 week after.

  • White matter changes as assessed by DWI (FA)

    Characterization of underlying structural changes across fractional anisotropy (FA) before and after the intervention.

    Total of 4 MRIs: 1 MRI 1 week before the intervention, 1 MRI the day before the intervention week, 1 MRI 1 day after the intervention week, and 1 MRI 1 week after.

  • White matter changes as assessed by DWI (MD)

    Characterization of underlying structural changes across mean diffusivity (MD) before and after the intervention.

    Total of 4 MRIs: 1 MRI 1 week before the intervention, 1 MRI the day before the intervention week, 1 MRI 1 day after the intervention week, and 1 MRI 1 week after.

  • White matter changes as assessed by DWI (AD)

    Characterization of underlying structural changes across axial diffusivity (AD) before and after the intervention.

    Total of 4 MRIs: 1 MRI 1 week before the intervention, 1 MRI the day before the intervention week, 1 MRI 1 day after the intervention week, and 1 MRI 1 week after.

  • White matter changes as assessed by DWI (RD)

    Characterization of underlying structural changes across radial diffusivity (RD) before and after the intervention.

    Total of 4 MRIs: 1 MRI 1 week before the intervention, 1 MRI the day before the intervention week, 1 MRI 1 day after the intervention week, and 1 MRI 1 week after.

  • White matter changes as assessed by DWI (g-ratio)

    Characterization of underlying structural changes assessed by ratio of the inner axonal diameter to the total outer diameter (g-ratio) before and after the intervention.

    Total of 4 MRIs: 1 MRI 1 week before the intervention, 1 MRI the day before the intervention week, 1 MRI 1 day after the intervention week, and 1 MRI 1 week after.

  • Functional connectivity changes due to neuroplasticity (rs-fMRI)

    Characterization of underlying functional changes by comprehensive assessment of brain connectivity properties using resting-state fMRI before and after the intervention.

    Total of 4 MRIs: 1 MRI 1 week before the intervention, 1 MRI the day before the intervention week, 1 MRI 1 day after the intervention week, and 1 MRI 1 week after.

  • Functional and structural brain changes due to neuroplasticity (t-fMRI)

    Characterization of underlying functional changes by comprehensive assessment of brain activity and connectivity properties using task-based fMRI before and after the intervention.

    Total of 4 MRIs: 1 MRI 1 week before the intervention, 1 MRI the day before the intervention week, 1 MRI 1 day after the intervention week, and 1 MRI 1 week after.

Secondary Outcomes (2)

  • BCI classification accuracy

    1 week

  • Time needed to achieve above chance-level BCI accuracy.

    1 week

Study Arms (2)

Interventional group - Levodopa

EXPERIMENTAL

Arm Description: Participants will receive Levodopa followed by BCI-mediated training for 6 days.

Drug: Madopar

Control group - Placebo

PLACEBO COMPARATOR

Arm Description: Participants will receive Placebo followed by BCI-mediated training for 6 days.

Drug: Placebo

Interventions

Experimental group participants will receive Madopar 125mg for 6 days.

Also known as: Levodopa
Interventional group - Levodopa

Control group participants will receive placebo for 6 days.

Also known as: A pill without any active components.
Control group - Placebo

Eligibility Criteria

Age18 Years - 80 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age: between 18 and 80 years old at the time of signing the consent form
  • BCI naĂ¯ve
  • MRI compatible
  • Participation in a detailed discussion on the explanation of the experiment
  • Signing of consent to participate in each experiment

You may not qualify if:

  • Sensory deficits (visual and auditory)
  • Wernicke's or global aphasia
  • Strong spasticity
  • Neurological and/or psychiatric diseases
  • Severe pre-existing lung or heart diseases; Gastrointestinal diseases; Malignant disease
  • Thyroid diseases
  • Taking other medications
  • Narrow angle glaucoma
  • Non-age-related otological diseases
  • Stimulators (cardiac, neuro, etc.)
  • Participation in a similar study
  • Fractures or lesions in the upper extremities
  • Preceding neurosurgical procedures
  • Inability to perform the experimental tasks
  • Inability to give consent
  • +5 more criteria

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences

Leipzig, 04103, Germany

Location

Related Publications (26)

  • Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJL, editors. Global Burden of Disease and Risk Factors. Washington (DC): The International Bank for Reconstruction and Development / The World Bank; 2006. Available from http://www.ncbi.nlm.nih.gov/books/NBK11812/

    PMID: 21250374BACKGROUND
  • Silvoni S, Ramos-Murguialday A, Cavinato M, Volpato C, Cisotto G, Turolla A, Piccione F, Birbaumer N. Brain-computer interface in stroke: a review of progress. Clin EEG Neurosci. 2011 Oct;42(4):245-52. doi: 10.1177/155005941104200410.

    PMID: 22208122BACKGROUND
  • Soekadar SR, Birbaumer N, Slutzky MW, Cohen LG. Brain-machine interfaces in neurorehabilitation of stroke. Neurobiol Dis. 2015 Nov;83:172-9. doi: 10.1016/j.nbd.2014.11.025. Epub 2014 Dec 7.

    PMID: 25489973BACKGROUND
  • Bernheimer H, Birkmayer W, Hornykiewicz O, Jellinger K, Seitelberger F. Brain dopamine and the syndromes of Parkinson and Huntington. Clinical, morphological and neurochemical correlations. J Neurol Sci. 1973 Dec;20(4):415-55. doi: 10.1016/0022-510x(73)90175-5. No abstract available.

    PMID: 4272516BACKGROUND
  • Arias-Carrion O, Poppel E. Dopamine, learning, and reward-seeking behavior. Acta Neurobiol Exp (Wars). 2007;67(4):481-8. doi: 10.55782/ane-2007-1664.

    PMID: 18320725BACKGROUND
  • Bromberg-Martin ES, Matsumoto M, Hikosaka O. Dopamine in motivational control: rewarding, aversive, and alerting. Neuron. 2010 Dec 9;68(5):815-34. doi: 10.1016/j.neuron.2010.11.022.

    PMID: 21144997BACKGROUND
  • Cools R. Dopaminergic modulation of cognitive function-implications for L-DOPA treatment in Parkinson's disease. Neurosci Biobehav Rev. 2006;30(1):1-23. doi: 10.1016/j.neubiorev.2005.03.024. Epub 2005 Jun 1.

    PMID: 15935475BACKGROUND
  • Saint-Cyr JA. Frontal-striatal circuit functions: context, sequence, and consequence. J Int Neuropsychol Soc. 2003 Jan;9(1):103-27. doi: 10.1017/s1355617703910125.

    PMID: 12570364BACKGROUND
  • Seger CA. How do the basal ganglia contribute to categorization? Their roles in generalization, response selection, and learning via feedback. Neurosci Biobehav Rev. 2008;32(2):265-78. doi: 10.1016/j.neubiorev.2007.07.010. Epub 2007 Aug 12.

    PMID: 17919725BACKGROUND
  • Beninger RJ. The role of dopamine in locomotor activity and learning. Brain Res. 1983 Oct;287(2):173-96. doi: 10.1016/0165-0173(83)90038-3.

    PMID: 6357357BACKGROUND
  • Wise RA, Rompre PP. Brain dopamine and reward. Annu Rev Psychol. 1989;40:191-225. doi: 10.1146/annurev.ps.40.020189.001203.

    PMID: 2648975BACKGROUND
  • Schultz W, Dayan P, Montague PR. A neural substrate of prediction and reward. Science. 1997 Mar 14;275(5306):1593-9. doi: 10.1126/science.275.5306.1593.

    PMID: 9054347BACKGROUND
  • Gerfen CR, Surmeier DJ. Modulation of striatal projection systems by dopamine. Annu Rev Neurosci. 2011;34:441-66. doi: 10.1146/annurev-neuro-061010-113641.

    PMID: 21469956BACKGROUND
  • Colzato LS, van Wouwe NC, Hommel B. Feature binding and affect: emotional modulation of visuo-motor integration. Neuropsychologia. 2007 Jan 28;45(2):440-6. doi: 10.1016/j.neuropsychologia.2006.06.032. Epub 2006 Aug 22.

    PMID: 16926036BACKGROUND
  • Jenner P. Molecular mechanisms of L-DOPA-induced dyskinesia. Nat Rev Neurosci. 2008 Sep;9(9):665-77. doi: 10.1038/nrn2471.

    PMID: 18714325BACKGROUND
  • Ramos-Murguialday A, Broetz D, Rea M, Laer L, Yilmaz O, Brasil FL, Liberati G, Curado MR, Garcia-Cossio E, Vyziotis A, Cho W, Agostini M, Soares E, Soekadar S, Caria A, Cohen LG, Birbaumer N. Brain-machine interface in chronic stroke rehabilitation: a controlled study. Ann Neurol. 2013 Jul;74(1):100-8. doi: 10.1002/ana.23879. Epub 2013 Aug 7.

    PMID: 23494615BACKGROUND
  • Ang KK, Guan C, Phua KS, Wang C, Zhou L, Tang KY, Ephraim Joseph GJ, Kuah CW, Chua KS. Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke. Front Neuroeng. 2014 Jul 29;7:30. doi: 10.3389/fneng.2014.00030. eCollection 2014.

    PMID: 25120465BACKGROUND
  • Cho W, Sabathiel N, Ortner R, Lechner A, Irimia DC, Allison BZ, Edlinger G, Guger C. Paired Associative Stimulation Using Brain-Computer Interfaces for Stroke Rehabilitation: A Pilot Study. Eur J Transl Myol. 2016 Jun 6;26(3):6132. doi: 10.4081/ejtm.2016.6132. eCollection 2016 Jun 13.

    PMID: 27990240BACKGROUND
  • Caria A, Weber C, Brotz D, Ramos A, Ticini LF, Gharabaghi A, Braun C, Birbaumer N. Chronic stroke recovery after combined BCI training and physiotherapy: a case report. Psychophysiology. 2011 Apr;48(4):578-82. doi: 10.1111/j.1469-8986.2010.01117.x. Epub 2010 Aug 16.

    PMID: 20718931BACKGROUND
  • Mukaino M, Ono T, Shindo K, Fujiwara T, Ota T, Kimura A, Liu M, Ushiba J. Efficacy of brain-computer interface-driven neuromuscular electrical stimulation for chronic paresis after stroke. J Rehabil Med. 2014 Apr;46(4):378-82. doi: 10.2340/16501977-1785.

    PMID: 24590225BACKGROUND
  • Birbaumer N. Brain-computer-interface research: coming of age. Clin Neurophysiol. 2006 Mar;117(3):479-83. doi: 10.1016/j.clinph.2005.11.002. Epub 2006 Feb 2. No abstract available.

    PMID: 16458595BACKGROUND
  • Pfurtscheller G, Neuper C. Motor imagery activates primary sensorimotor area in humans. Neurosci Lett. 1997 Dec 19;239(2-3):65-8. doi: 10.1016/s0304-3940(97)00889-6.

    PMID: 9469657BACKGROUND
  • Johansson BB. Current trends in stroke rehabilitation. A review with focus on brain plasticity. Acta Neurol Scand. 2011 Mar;123(3):147-59. doi: 10.1111/j.1600-0404.2010.01417.x. Epub 2010 Aug 19.

    PMID: 20726844BACKGROUND
  • Young BM, Nigogosyan Z, Walton LM, Song J, Nair VA, Grogan SW, Tyler ME, Edwards DF, Caldera K, Sattin JA, Williams JC, Prabhakaran V. Changes in functional brain organization and behavioral correlations after rehabilitative therapy using a brain-computer interface. Front Neuroeng. 2014 Jul 15;7:26. doi: 10.3389/fneng.2014.00026. eCollection 2014.

    PMID: 25076886BACKGROUND
  • Young BM, Stamm JM, Song J, Remsik AB, Nair VA, Tyler ME, Edwards DF, Caldera K, Sattin JA, Williams JC, Prabhakaran V. Brain-Computer Interface Training after Stroke Affects Patterns of Brain-Behavior Relationships in Corticospinal Motor Fibers. Front Hum Neurosci. 2016 Sep 16;10:457. doi: 10.3389/fnhum.2016.00457. eCollection 2016.

    PMID: 27695404BACKGROUND
  • Varkuti B, Guan C, Pan Y, Phua KS, Ang KK, Kuah CW, Chua K, Ang BT, Birbaumer N, Sitaram R. Resting state changes in functional connectivity correlate with movement recovery for BCI and robot-assisted upper-extremity training after stroke. Neurorehabil Neural Repair. 2013 Jan;27(1):53-62. doi: 10.1177/1545968312445910. Epub 2012 May 29.

    PMID: 22645108BACKGROUND

MeSH Terms

Interventions

benserazide, levodopa drug combinationLevodopa

Intervention Hierarchy (Ancestors)

DihydroxyphenylalanineCatecholaminesAminesOrganic ChemicalsCatecholsPhenolsBenzene DerivativesHydrocarbons, AromaticHydrocarbons, CyclicHydrocarbonsPhenylalanineAmino Acids, AromaticAmino Acids, CyclicAmino AcidsAmino Acids, Peptides, and ProteinsTyrosine

Study Officials

  • Arno Villringer, PhD

    Max Planck Institute for Human Cognitive and Brain Sciences

    STUDY DIRECTOR
  • Bernhard Sehm, PhD

    Max Planck Institute for Human Cognitive and Brain Sciences

    PRINCIPAL INVESTIGATOR
  • Khosrov A. Grigoryan, MSc

    Max Planck Institute for Human Cognitive and Brain Sciences

    STUDY CHAIR

Study Design

Study Type
interventional
Phase
early phase 1
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
PARTICIPANT, INVESTIGATOR
Purpose
TREATMENT
Intervention Model
PARALLEL
Model Details: Double-blinded randomized placebo-controlled intervention with 2 arms: BCI intervention with Placebo; BCI intervention with Levodopa
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 27, 2024

First Posted

December 11, 2024

Study Start

October 1, 2017

Primary Completion

February 27, 2023

Study Completion

August 6, 2024

Last Updated

May 31, 2025

Record last verified: 2025-05

Data Sharing

IPD Sharing
Will not share

Locations