Near-infrared spectroscopy based neurofeedback training increases specific motor imagery related cortical activation compared to sham feedback

Biological Psychology

Volumn 95, Issue 1, 2014, Pages 21-30

  Kober, S E ^a   Wood, G ^a   Kurzmann, J ^a   Friedrich, E V C ^a,b   Stangl, M ^a   Wippel, T ^a   Valjamae A ^a   Neuper, C ^a,b  

^a UNIVERSITY OF GRAZ   (Austria)

^b GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Blood oxygenation level; Kinesthetic motor imagery; Near infrared spectroscopy; Neurofeedback

Indexed keywords

ADULT; ARTICLE; BLOOD OXYGENATION; BRAIN CORTEX; BRAIN FUNCTION; CONTROLLED STUDY; FEMALE; HAND MOVEMENT; HUMAN; HUMAN EXPERIMENT; IMAGERY; MALE; MOTOR CORTEX; MOTOR IMAGERY; NEAR INFRARED SPECTROSCOPY; NEUROFEEDBACK; NORMAL HUMAN; PRIORITY JOURNAL; PROPRIOCEPTION;

BLOOD OXYGENATION LEVEL; KINESTHETIC MOTOR IMAGERY; NEAR-INFRARED SPECTROSCOPY; NEUROFEEDBACK;

ADULT; FEMALE; HUMANS; IMAGINATION; MALE; MOTOR CORTEX; MOVEMENT; NEUROFEEDBACK; PSYCHOMOTOR PERFORMANCE; SPECTROSCOPY, NEAR-INFRARED; YOUNG ADULT;

EID: 84892498191     PISSN: 03010511     EISSN: 18736246     Source Type: Journal    
DOI: 10.1016/j.biopsycho.2013.05.005     Document Type: Article

References (60)

1. Ang, K. K., Guan, C., Lee, K., Lee, J. Q., Nioka, S., & Chance, B. (Hrsg.). (2010). A brain-computer interface for mental arithmetic task from single-trial near-infrared spectroscopy brain signals. IEEE Computer Society, Washington, DC, USA, 3764-3767, http://dx.doi.org/10.1109/ICPR.2010.917.
2. Atienza F., Balaguer I., Garcia-Merita M.L. Factor analysis and reliability of the movement imagery questionnaire. Perceptual and Motor Skills 1994, 78(3c):1323-1328.
3. Bauernfeind G., Scherer R., Pfurtscheller G., Neuper C. Single-trial classification of antagonistic oxyhemoglobin responses during mental arithmetic. Medical and Biological Engineering and Computing 2011, 49(9):979-984.
4. Bishop C.M. Neural networks for pattern recognition 2010, Oxford University Press, Oxford. (2010. Aufl.).
5. Bonate P.L. Analysis of pretest-posttest designs 2000, Chapman & Hall/CRC, Boca Raton.
6. Bray S., Shimojo S., O'Doherty J.P. Direct instrumental conditioning of neural activity using functional magnetic resonance imaging-derived reward feedback. Journal of Neuroscience 2007, 27(28):7498-7507.
7. Coben R., Evans J. Neurofeedback and neuromodulation techniques and applications 2010, Academic, London.
8. Coben R., Linden M., Myers T.E. Neurofeedback for autistic spectrum disorder: A review of the literature. Applied Psychophysiology and Biofeedback 2010, 35(1):83-105.
9. Coyle S.M., Ward T.E., Markham C.M. Brain-computer interface using a simplified functional near-infrared spectroscopy system. Journal of Neural Engineering 2007, 4(3):219-226.
10. Cui X., Bray S., Reiss A.L., Tell F. Speeded near infrared spectroscopy (NIRS) response detection. PLoS ONE 2010, 5(11):e15474.
11. deCharms R.C., Christoff K., Glover G.H., Pauly J.M., Whitfield S., Gabrieli J.D.E. Learned regulation of spatially localized brain activation using real-time fMRI. NeuroImage 2004, 21(1):436-443.
12. Dimitrov D.M., Rumrill P.D. Pretest-posttest designs and measurement of change. Work 2003, 20(2):159-165.
13. Fazli S., Mehnert J., Steinbrink J., Curio G., Villringer A., Müller K.-R., et al. Enhanced performance by a hybrid NIRS-EEG brain computer interface. Neuroergonomics: The human brain in action and at work. NeuroImage 2012, 59(1):519-529.
14. Gani C., Birbaumer N., Strehl U. Long term effects after feedback of slow cortical potentials and of theta/beta - Amplitudes in children with attention deficit hyperactivity disorder (ADHD). International Journal of Bioelectromagnetism 2008, 10(4):209-232.
15. Gevensleben H., Holl B., Albrecht B., Schlamp D., Kratz O., Studer P., et al. Neurofeedback training in children with ADHD: 6-month follow-up of a randomised controlled trial. European Child and Adolescent Psychiatry 2010, 19(9):715-724.
16. Gregg M., Hall C., Butler A. The MIQ-RS: A suitable option for examining movement imagery ability. Evidence-Based Complementary and Alternative Medicine 2010, 7(2):249-257.
17. Gruzelier J., Egner T. Critical validation studies of neurofeedback. Child and Adolescent Psychiatric Clinics of North America 2005, 14(1):83-104. vi.
18. Hall C.R., Martin K.A. Measuring movement imagery abilities: A revision of the Movement Imagery Questionnaire. Journal of Mental Imagery 1997, 21(1/2):143-154.
19. Hall C., Pongrac J., Buckholz E. The measurement of imagery ability. Human Movement Science 1985, 4(2):107-118. Verfügbar unter http://www.sciencedirect.com/science/article/pii/0167945785900065.
20. Holper L., Wolf M. Motor imagery in response to fake feedback measured by functional near-infrared spectroscopy. NeuroImage 2010, 50(1):190-197.
21. Holper L., Wolf M. Single-trial classification of motor imagery differing in task complexity: A functional near-infrared spectroscopy study. Journal of NeuroEngineering and Rehabilitation 2011, 8(1):34.
22. Hoshi Y., Tamura M. Near-infrared optical detection of sequential brain activation in the prefrontal cortex during mental tasks. NeuroImage 1997, 5(4, Pt 1):292-297.
23. Huppert T.J., Hoge R.D., Diamond S.G., Franceschini M.A., Boas D.A. A temporal comparison of BOLD, ASL, and NIRS hemodynamic responses to motor stimuli in adult humans. NeuroImage 2006, 29(2):368-382.
24. Kropotov J.D. Quantitative EEG, event-related potentials and neurotherapy 2009, Elsevier/Academic, Amsterdam/Boston/London. (1. Aufl.).
25. Kübler A., Kotchoubey B. Brain-computer interfaces in the continuum of consciousness. Current Opinion in Neurology 2007, 20(6):643-649.
26. Kübler A., Kotchoubey B., Kaiser J., Wolpaw J.R., Birbaumer N. Brain-computer communication: Unlocking the locked in. Psychological Bulletin 2001, 127(3):358-375.
27. Kübler A., Nijboer F., Mellinger J., Vaughan T.M., Pawelzik H., Schalk G., et al. Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface. Neurology 2005, 64(10):1775-1777.
28. LaConte S.M. Decoding fMRI brain states in real-time. Multivariate decoding and brain reading. NeuroImage 2011, 56(2):440-454.
29. Limongi T., Di Sante G., Ferrari M., Quaresima V. Detecting mental calculation related frontal cortex oxygenation changes for brain computer interface using multi-channel functional near infrared topography. International Journal of Bioelectromagnetism 2009, 11(2):86-90.
30. Lloyd-Fox S., Blasi A., Elwell C.E. Illuminating the developing brain: The past, present and future of functional near infrared spectroscopy. Neuroscience & Biobehavioral Reviews 2010, 34(3):269-284.
31. Matsuyama H., Otake H.A.M. Design of differential near-infrared spectroscopy based brain machine interface. The 18th IEEE international symposium on robot and human interactive communication 2009, 775-780.
32. Matthews F., Pearlmutter B., Wards T., Soraghan C., Markham C. Hemodynamics for brain-computer interfaces. IEEE Signal Processing Magazine 2008, 25(1):87-94.
33. Mihara M., Hattori N., Hatakenaka M., Yagura H., Kawano T., Hino T., et al. Near-infrared spectroscopy-mediated neurofeedback enhances efficacy of motor imagery-based training in poststroke victims: A pilot study. Stroke 2013, 44(4):1091-1098.
34. Mihara M., Miyai I., Hattori N., Hatakenaka M., Yagura H., Kawano T., et al. Neurofeedback using real-time near-infrared spectroscopy enhances motor imagery related cortical activation. PLoS ONE 2012, 7(3):e32234.
35. Min B.-K., Marzelli M.J., Yoo S.-S. Neuroimaging-based approaches in the brain-computer interface. Trends in Biotechnology 2010, 28(11):552-560.
36. Muehlemann T., Haensse D., Wolf M. Wireless miniaturized in-vivo near infrared imaging. Optics Express 2008, 16(14):10323-10330.
37. Nambu I., Osu R., Sato M.-A., Ando S., Kawato M., Naito E. Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS). NeuroImage 2009, 47(2):628-637.
38. Neuper C., Scherer R., Reiner M., Pfurtscheller G. Imagery of motor actions: Differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. Cognitive Brain Research 2005, 25(3):668-677.
39. Niv S. Clinical efficacy and potential mechanisms of neurofeedback. Personality and Individual Differences 2013, 54(6):676-686.
40. Nolte C., Kohl M., Scholz U., Weih M., Villringer A. Characterization of the pulse signal over the human head by near infrared spectroscopy. Advances in Experimental Medicine and Biology 1998, 454:115-123.
41. Pfurtscheller G., Neuper C. Motor imagery activates primary sensorimotor area in humans. Neuroscience Letters 1997, 239(2/3):65-68.
42. Plichta M., Herrmann M., Baehne C., Ehlis A.-C., Richter M., Pauli P., et al. Event-related functional near-infrared spectroscopy (fNIRS): Are the measurements reliableα. NeuroImage 2006, 31(1):116-124.
43. Power S.D., Kushki A., Chau T. Automatic single-trial discrimination of mental arithmetic, mental singing and the no-control state from prefrontal activity: Toward a three-state NIRS-BCI. BMC Research Notes 2012, 5:141.
44. Singh A.K., Okamoto M., Dan H., Jurcak V., Dan I. Spatial registration of multichannel multi-subject fNIRS data to MNI space without MRI. NeuroImage 2005, 27(4):842-851.
45. Sitaram R., Caria A., Birbaumer N. Hemodynamic brain-computer interfaces for communication and rehabilitation. Brain-machine interface. Neural Networks 2009, 22(9):1320-1328.
46. Sitaram R., Caria A., Veit R., Gaber T., Rota G., Kuebler A., et al. fMRI brain-computer interface: A tool for neuroscientific research and treatment. Computational Intelligence and Neuroscience 2007, 25487:1-10. 10.1155/2007/25487.
47. Sitaram R., Veit R., Stevens B., Caria A., Gerloff C., Birbaumer N., et al. Acquired control of ventral premotor cortex activity by feedback training: An exploratory real-time fMRI and TMS study. Neurorehabilitation and Neural Repair 2012, 26(3):256-265.
48. Sitaram R., Zhang H., Guan C., Thulasidas M., Hoshi Y., Ishikawa A., et al. Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface. NeuroImage 2007, 34(4):1416-1427.
49. Soraghan C., Matthews F., Markham C., Pearlmutter B.A., O'Neill R., Ward T.E. A 12-channel, real-time near-infrared spectroscopy instrument for brain-computer interface applications. Conf proc IEEE eng med biol soc, 2008 2008, 5648-5651.
50. Steingrüber H.-J. Hand-Dominanz-test (HDT) 1976, Hogrefe-Verlag für Psychologie.
51. Takahashi T., Takikawa Y., Kawagoe R., Shibuya S., Iwano T., Kitazawa S. Influence of skin blood flow on near-infrared spectroscopy signals measured on the forehead during a verbal fluency task. NeuroImage 2011, 57(3):991-1002.
52. Toronov V., Walker S., Gupta R., Choi J.H., Gratton E., Hueber D., et al. The roles of changes in deoxyhemoglobin concentration and regional cerebral blood volume in the fMRI BOLD signal. NeuroImage 2003, 19:1521-1531.
53. Uludag K., Steinbrink J., Villringer A., Obrig H. Separability and cross talk: Optimizing dual wavelength combinations for near-infrared spectroscopy of the adult head. NeuroImage 2004, 22(2):583-589.
54. Vernon D.J. Can neurofeedback training enhance performanceα An evaluation of the evidence with implications for future research. Applied Psychophysiology and Biofeedback 2005, 30(4):347-364.
55. Villringer A., Chance B. Non-invasive optical spectroscopy and imaging of human brain function. Trends in Neurosciences 1997, 20(10):435-442.
56. Weiskopf N. Real-time fMRI and its application to neurofeedback. NeuroImage 2012, 62(2):682-692.
57. Wolpaw J.R., Birbaumer N., McFarland D.J., Pfurtscheller G., Vaughan T.M. Brain-computer interfaces for communication and control. Clinical Neurophysiology 2002, 113(6):767-791.
58. Wriessnegger S.C., Kurzmann J., Neuper C. Spatio-temporal differences in brain oxygenation between movement execution and imagery: A multichannel near-infrared spectroscopy study. International Journal of Psychophysiology 2008, 67(1):54-63.
59. Yoo S.S., Lee J.H., O'Leary H., Panych L.P., Jolesz F.A. Neurofeedback fMRI-mediated learning and consolidation of regional brain activation during motor imagery. International Journal of Imaging Systems and Technology 2008, 18(1):69-78.
60. Yoo S.-S., Fairneny T., Chen N.-K., Choo S.-E., Panych L.P., Park H., et al. Brain-computer interface using fMRI: Spatial navigation by thoughts. NeuroReport 2004, 15(10):1591-1595.