Dopamine and Brain Computer Interface

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.

Timeline

Start

2017-10-01

Primary completion

2023-02-27

Completion

2024-08-06

Publications

• Background 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/
• Background 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.
• Background 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.
• Background 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.
• Background 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.
• Background 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.
• Background 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.
• Background 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.
• Background 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.
• Background 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.
• Background Wise RA, Rompre PP. Brain dopamine and reward. Annu Rev Psychol. 1989;40:191-225. doi: 10.1146/annurev.ps.40.020189.001203.
• Background 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.
• Background 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.
• Background 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.
• Background Jenner P. Molecular mechanisms of L-DOPA-induced dyskinesia. Nat Rev Neurosci. 2008 Sep;9(9):665-77. doi: 10.1038/nrn2471.
• Background 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.
• Background 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.
• Background 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.
• Background 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.
• Background 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.
• Background 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.
• Background 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.
• Background 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.
• Background 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.
• Background 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.
• Background 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.

Drugs

Indications

No indication recorded.