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Volumn 9, Issue OCTOBER, 2015, Pages

A subject-independent pattern-based brain-computer interface

Author keywords

BCI; Common spatial patterns; Emotion imagery; Neurofeedback; Subject independent classification

Indexed keywords

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN COMPUTER INTERFACE; CLASSIFICATION ALGORITHM; ELECTROENCEPHALOGRAPHY; FEASIBILITY STUDY; FEMALE; HUMAN; HUMAN COMPUTER INTERACTION; HUMAN EXPERIMENT; IMAGERY; INFORMATION PROCESSING; NEUROFEEDBACK; NORMAL HUMAN; ONLINE SYSTEM; SIGNAL DETECTION; SUPPORT VECTOR MACHINE; VISUAL FEEDBACK;

EID: 84947547565     PISSN: 16625153     EISSN: None     Source Type: Journal    
DOI: 10.3389/fnbeh.2015.00269     Document Type: Article
Times cited : (48)

References (53)
  • 2
    • 84857063455 scopus 로고    scopus 로고
    • Mutual information-based selection of optimal spatial–temporal patterns for single-trial EEG-based BCIs
    • Ang, K. K., Chin, Z. Y., Zhang, H., and Guan, C. (2012). Mutual information-based selection of optimal spatial–temporal patterns for single-trial EEG-based BCIs. Pattern Recognit. 45, 2137–2144. doi: 10.1016/j.patcog.2011.04.018
    • (2012) Pattern Recognit , vol.45 , pp. 2137-2144
    • Ang, K.K.1    Chin, Z.Y.2    Zhang, H.3    Guan, C.4
  • 4
    • 78049461828 scopus 로고    scopus 로고
    • Is alpha wave neurofeedback effective with randomized clinical trials in depression? A pilot study
    • Choi, S. W., Chi, S. E., Chung, S. Y., Kim, J. W., Ahn, C. Y., and Kim, H. T. (2011). Is alpha wave neurofeedback effective with randomized clinical trials in depression? A pilot study. Neuropsychobiology 63, 43–51. doi: 10.1159/000322290
    • (2011) Neuropsychobiology , vol.63 , pp. 43-51
    • Choi, S.W.1    Chi, S.E.2    Chung, S.Y.3    Kim, J.W.4    Ahn, C.Y.5    Kim, H.T.6
  • 6
    • 0041737619 scopus 로고    scopus 로고
    • Functional magnetic resonance imaging (FMRI) “brain reading”: Detecting and classifying distributed patterns of fMRI activity in human visual cortex
    • Cox, D. D., and Savoy, R. L. (2003). Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortex. Neuroimage 19, 261–270. doi: 10.1016/S1053-8119(03)00049-1
    • (2003) Neuroimage , vol.19 , pp. 261-270
    • Cox, D.D.1    Savoy, R.L.2
  • 7
    • 79954557656 scopus 로고    scopus 로고
    • A. (2011). A new neurofeedback protocol for depression. Span
    • Dias, A. M., and van Deusen, A. (2011). A new neurofeedback protocol for depression. Span. J. Psychol. 14, 374–384. doi: 10.5209/rev_SJOP.2011.v14.n1.34
    • J. Psychol , vol.14 , pp. 374-384
    • Dias, A.M.1    Van Deusen, A.2
  • 8
    • 84906911812 scopus 로고    scopus 로고
    • A controlled study on the cognitive effect of alpha neurofeedback training in patients with major depressive disorder
    • Escolano, C., Navarro-Gil, M., Garcia-Campayo, J., Congedo, M., De Ridder, D., and Minguez, J. (2014). A controlled study on the cognitive effect of alpha neurofeedback training in patients with major depressive disorder. Front. Behav. Neurosci. 8:296. doi: 10.3389/fnbeh.2014.00296
    • (2014) Front. Behav. Neurosci , vol.8
    • Escolano, C.1    Navarro-Gil, M.2    Garcia-Campayo, J.3    Congedo, M.4    De Ridder, D.5    Minguez, J.6
  • 9
    • 70350221669 scopus 로고    scopus 로고
    • Subject-independent mental state classification in single trials
    • Fazli, S., Popescu, F., Danóczy, M., Blankertz, B., Muller, K. R., and Grozea, C. (2009). Subject-independent mental state classification in single trials. Neural Netw. 22, 1305–1312. doi: 10.1016/j.neunet.2009.06.003
    • (2009) Neural Netw , vol.22 , pp. 1305-1312
    • Fazli, S.1    Popescu, F.2    Danóczy, M.3    Blankertz, B.4    Muller, K.R.5    Grozea, C.6
  • 10
    • 84873406098 scopus 로고    scopus 로고
    • Review of functional and anatomical brain connectivity findings in schizophrenia
    • Fitzsimmons, J., Kubicki, M., and Shenton, M. E. (2013). Review of functional and anatomical brain connectivity findings in schizophrenia. Curr. Opin. Psychiatry 26, 172–187. doi: 10.1097/YCO.0b013e32835d9e6a
    • (2013) Curr. Opin. Psychiatry , vol.26 , pp. 172-187
    • Fitzsimmons, J.1    Kubicki, M.2    Shenton, M.E.3
  • 12
    • 84859770175 scopus 로고    scopus 로고
    • The aberrant connectivity hypothesis in schizophrenia
    • Methodological Trends and Clinical Approaches, eds F. Aboitiz and D. Cosmelli (Berlin/Heidelberg: Springer
    • Gaspar, P. A., Bosman, C., Ruiz, S., and Aboitiz, F. (2009). “The aberrant connectivity hypothesis in schizophrenia,” in From Attention to Goal-Directed Behavior. Neurodynamics of Attentional Mechanisms: Methodological Trends and Clinical Approaches, eds F. Aboitiz and D. Cosmelli (Berlin/Heidelberg: Springer), 301–323.
    • (2009) From Attention to Goal-Directed Behavior. Neurodynamics of Attentional Mechanisms , pp. 301-323
    • Gaspar, P.A.1    Bosman, C.2    Ruiz, S.3    Aboitiz, F.4
  • 13
    • 0032725601 scopus 로고    scopus 로고
    • Learned control of slow potential interhemispheric asymmetry in schizophrenia
    • Gruzelier, J., Hardman, E., Wild, J., and Zaman, R. (1999). Learned control of slow potential interhemispheric asymmetry in schizophrenia. Int. J. Psychophysiol. 34, 341–348. doi: 10.1016/S0167-8760(99)00091-4
    • (1999) Int. J. Psychophysiol , vol.34 , pp. 341-348
    • Gruzelier, J.1    Hardman, E.2    Wild, J.3    Zaman, R.4
  • 14
    • 0034470419 scopus 로고    scopus 로고
    • Real-time EEG analysis with subject-specific spatial patterns for Brain-Computer Interface (BCI)
    • Guger, C., Ramoser, H., and Pfurtscheller, G. (2000). Real-time EEG analysis with subject-specific spatial patterns for Brain-Computer Interface (BCI). IEEE Trans. Rehabil. Eng. 8, 447–456. doi: 10.1109/86.895947
    • (2000) IEEE Trans. Rehabil. Eng , vol.8 , pp. 447-456
    • Guger, C.1    Ramoser, H.2    Pfurtscheller, G.3
  • 15
    • 80053905545 scopus 로고    scopus 로고
    • Predicting decisions in human social interactions using real-time fMRI and pattern classification
    • Hollmann, M., Rieger, J. W., Baecke, S., Lutzkendorf, R., Müller, C., Adolf, D., et al. (2011). Predicting decisions in human social interactions using real-time fMRI and pattern classification. PLoS ONE 6:e25304. doi: 10.1371/journal.pone.0025304
    • (2011) Plos ONE , vol.6
    • Hollmann, M.1    Rieger, J.W.2    Baecke, S.3    Lutzkendorf, R.4    Müller, C.5    Adolf, D.6
  • 16
    • 84867742306 scopus 로고    scopus 로고
    • Whether generic model works for rapid ERP-based BCI calibration
    • Jin, J., Sellers, E. W., Zhang, Y., Daly, I., Wang, X., and Cichocki, A. (2013). Whether generic model works for rapid ERP-based BCI calibration. J. Neurosci. Methods 212, 94–99. doi: 10.1016/j.jneumeth.2012.09.020
    • (2013) J. Neurosci. Methods , vol.212 , pp. 94-99
    • Jin, J.1    Sellers, E.W.2    Zhang, Y.3    Daly, I.4    Wang, X.5    Cichocki, A.6
  • 17
    • 84857697904 scopus 로고    scopus 로고
    • Autism as a neural systems disorder: A theory of frontal-posterior underconnectivity
    • Just, M. A., Keller, T. A., Malave, V. L., Kana, R. K., and Varma, S. (2012). Autism as a neural systems disorder: a theory of frontal-posterior underconnectivity. Neurosci. Biobehav. Rev. 36, 1292–1313. doi: 10.1016/j.neubiorev.2012.02.007
    • (2012) Neurosci. Biobehav. Rev , vol.36 , pp. 1292-1313
    • Just, M.A.1    Keller, T.A.2    Malave, V.L.3    Kana, R.K.4    Varma, S.5
  • 18
    • 84901282773 scopus 로고    scopus 로고
    • Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller
    • Kindermans, P. J., Tangermann, M., Müller, K. R., and Schrauwen, B. (2014). Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller. J. Neural Eng. 11, 035005. doi: 10.1088/1741-2560/11/3/035005
    • (2014) J. Neural Eng , vol.11
    • Kindermans, P.J.1    Tangermann, M.2    Müller, K.R.3    Schrauwen, B.4
  • 19
    • 84891063100 scopus 로고    scopus 로고
    • Neural network of cognitive emotion regulation–an ALE meta-analysis and MACM analysis
    • Kohn, N., Eickhoff, S. B., Scheller, M., Laird, A. R., Fox, P. T., and Habel, U. (2014). Neural network of cognitive emotion regulation–an ALE meta-analysis and MACM analysis. Neuroimage 87, 345–355. doi: 10.1016/j.neuroimage.2013.11.001
    • (2014) Neuroimage , vol.87 , pp. 345-355
    • Kohn, N.1    Eickhoff, S.B.2    Scheller, M.3    Laird, A.R.4    Fox, P.T.5    Habel, U.6
  • 20
    • 0025930985 scopus 로고
    • The quantitive extraction and topographic mapping of the abnormal components in the clinical EEG
    • Koles, Z. (1991). The quantitive extraction and topographic mapping of the abnormal components in the clinical EEG. Electroencephalogr. Clin. Neurophysiol. 79, 440–447. doi: 10.1016/0013-4694(91)90163-X
    • (1991) Electroencephalogr. Clin. Neurophysiol , vol.79 , pp. 440-447
    • Koles, Z.1
  • 21
    • 0025149099 scopus 로고
    • Spatial patterns underlying population differences in the background EEG
    • Koles, Z. J., Lazar, M. S., and Zhou, S. Z. (1990). Spatial patterns underlying population differences in the background EEG. Brain Topogr. 2, 275–284. doi: 10.1007/BF01129656
    • (1990) Brain Topogr , vol.2 , pp. 275-284
    • Koles, Z.J.1    Lazar, M.S.2    Zhou, S.Z.3
  • 22
    • 84921259191 scopus 로고    scopus 로고
    • BCI signal processing: Feature extraction
    • eds J. R. Wolpaw and E. W. Wolpaw (New York, NY: Oxford University Press
    • Krusienski, D. J., McFarland, D. J., and Principe, J. C. (2012). “BCI signal processing: feature extraction,” in Brain-Computer Interfaces: Principles and Practice, eds J. R. Wolpaw and E. W. Wolpaw (New York, NY: Oxford University Press), 123–146.
    • (2012) Brain-Computer Interfaces: Principles and Practice , pp. 123-146
    • Krusienski, D.J.1    McFarland, D.J.2    Principe, J.C.3
  • 23
    • 19344370474 scopus 로고    scopus 로고
    • Support vector machines for temporal classification of block design fMRI data
    • Laconte, S., Strother, S., Cherkassky, V., Anderson, J., and Hu, X. (2005). Support vector machines for temporal classification of block design fMRI data. Neuroimage 26, 317–329. doi: 10.1016/j.neuroimage.2005.01.048
    • (2005) Neuroimage , vol.26 , pp. 317-329
    • Laconte, S.1    Strother, S.2    Cherkassky, V.3    Erson, J.4    Hu, X.5
  • 24
    • 79955003759 scopus 로고    scopus 로고
    • Decoding fMRI brain states in real-time
    • Laconte, S. M. (2011). Decoding fMRI brain states in real-time. Neuroimage 56, 440–454. doi: 10.1016/j.neuroimage.2010.06.052
    • (2011) Neuroimage , vol.56 , pp. 440-454
    • Laconte, S.M.1
  • 25
    • 69649095792 scopus 로고    scopus 로고
    • Canadian Network for Mood and Anxiety Treatments (CANMAT) clinical guidelines for the management of major depressive disorder in adults. (III. Pharmacotherapy)
    • Lam, R. W, Kennedy, S. H, Grigoriadis, S., McIntyre, R. S, Milev, R., Ramasubbu, R., et al. (2009). Canadian Network for Mood and Anxiety Treatments (CANMAT) clinical guidelines for the management of major depressive disorder in adults. (III. Pharmacotherapy). J. Affect. Disord. 117(Suppl. 1), 26–43. doi: 10.1016/j.jad.2009.06.041
    • (2009) J. Affect. Disord , vol.117 , pp. 26-43
    • Lam, R.W.1    Kennedy, S.H.2    Grigoriadis, S.3    McIntyre, R.S.4    Milev, R.5    Ramasubbu, R.6
  • 26
    • 0004311807 scopus 로고    scopus 로고
    • Technical manual and affective ratings, NIMH Center for the Study of Emotion and Attention, University of Florida, Gainesville, FL
    • Lang, P. J., Bradley, M. M., and Cuthbert, B. N. (1997). International Affective Picture System (IAPS). Technical manual and affective ratings, NIMH Center for the Study of Emotion and Attention, University of Florida, Gainesville, FL.
    • (1997) International Affective Picture System (IAPS)
    • Lang, P.J.1    Bradley, M.M.2    Cuthbert, B.N.3
  • 27
    • 84861842427 scopus 로고    scopus 로고
    • Real-time self-regulation of emotion networks in patients with depression
    • Linden, D. E., Habes, I., Johnston, S. J., Linden, S., Tatineni, R., Subramanian, L., et al. (2012). Real-time self-regulation of emotion networks in patients with depression. PLoS ONE 7:e38115. doi: 10.1371/journal.pone.0038115
    • (2012) Plos ONE
    • Linden, D.E.1    Habes, I.2    Johnston, S.J.3    Linden, S.4    Tatineni, R.5    Subramanian, L.6
  • 28
    • 65249133411 scopus 로고    scopus 로고
    • Unsupervised Brain-Computer interface based on intersubject information and online adaption
    • Lu, S., Guan, C., and Zhang, H. (2009). Unsupervised Brain-Computer interface based on intersubject information and online adaption. IEEE Trans. Neural Syst. Rehabil. Eng. 17, 135–145. doi: 10.1109/TNSRE.2009.2015197
    • (2009) IEEE Trans. Neural Syst. Rehabil. Eng , vol.17 , pp. 135-145
    • Lu, S.1    Guan, C.2    Zhang, H.3
  • 29
    • 84897619126 scopus 로고    scopus 로고
    • The implications of brain connectivity in the neuropsychology of autism
    • Maximo, J. O., Cadena, E. J., and Kana, R. K. (2014). The implications of brain connectivity in the neuropsychology of autism. Neuropsychol. Rev. 24, 16–31. doi: 10.1007/s11065-014-9250-0
    • (2014) Neuropsychol. Rev , vol.24 , pp. 16-31
    • Maximo, J.O.1    Cadena, E.J.2    Kana, R.K.3
  • 30
    • 0344849430 scopus 로고    scopus 로고
    • Designing optimal spatial filters for single-trial EEG classification in a movement task
    • Müller-Gerking, J., Pfurtscheller, G., and Flyvbjerg, H. (1999). Designing optimal spatial filters for single-trial EEG classification in a movement task. Clin. Neurophysiol. 110, 787–798. doi: 10.1016/S1388-2457(98)00038-8
    • (1999) Clin. Neurophysiol , vol.110 , pp. 787-798
    • Müller-Gerking, J.1    Pfurtscheller, G.2    Flyvbjerg, H.3
  • 33
    • 5644298301 scopus 로고    scopus 로고
    • For better or for worse: Neural systems supporting the cognitive down- and up-regulation of negative emotion
    • Ochsner, K. N., Ray, R. D., Cooper, J. C., Robertson, E. R., Chopra, S., Gabrieli, J. D., et al. (2004). For better or for worse: neural systems supporting the cognitive down- and up-regulation of negative emotion. Neuroimage 23, 483–499. doi: 10.1016/j.neuroimage.2004.06.030
    • (2004) Neuroimage , vol.23 , pp. 483-499
    • Ochsner, K.N.1    Ray, R.D.2    Cooper, J.C.3    Robertson, E.R.4    Chopra, S.5    Gabrieli, J.D.6
  • 34
    • 79551668253 scopus 로고    scopus 로고
    • FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data
    • Oostenveld, R., Fries, P., Maris, E., and Schoffelen, J.-M. (2011). FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput. Intell. Neurosci. 2011:156869. doi: 10.1155/2011/156869
    • (2011) Comput. Intell. Neurosci , vol.2011
    • Oostenveld, R.1    Fries, P.2    Maris, E.3    Schoffelen, J.-M.4
  • 35
    • 69649087686 scopus 로고    scopus 로고
    • Canadian Network for Mood and Anxiety Treatments (CANMAT) clinical guidelines for the management of major depressive disorder in adults. (II. Psychotherapy alone or in combination with antidepressant medication.)
    • Parikh, S. V., Segal, Z. V., Grigoriadis, S., Ravindran, A. V., Kennedy, S. H., Lam, R. W., et al. (2009). Canadian Network for Mood and Anxiety Treatments (CANMAT) clinical guidelines for the management of major depressive disorder in adults. (II. Psychotherapy alone or in combination with antidepressant medication.). J. Affect. Disord. 117(Suppl. 1), 15–25. doi: 10.1016/j.jad.2009.06.042
    • (2009) J. Affect. Disord , vol.117 , pp. 15-25
    • Parikh, S.V.1    Segal, Z.V.2    Grigoriadis, S.3    Ravindran, A.V.4    Kennedy, S.H.5    Lam, R.W.6
  • 36
    • 69649089032 scopus 로고    scopus 로고
    • Canadian Network for Mood and Anxiety Treatments (CANMAT) clinical guidelines for the management of major depressive disorder in adults. (I. Classification, burden and principles of management)
    • Patten, S. B., Kennedy, S. H., Lam, R. W., O'Donovan, C., Filteau, M. J., Parikh, S. V., et al. (2009). Canadian Network for Mood and Anxiety Treatments (CANMAT) clinical guidelines for the management of major depressive disorder in adults. (I. Classification, burden and principles of management). J. Affect. Disord. 117(Suppl. 1), 5–14. doi: 10.1016/j.jad.2009.06.044
    • (2009) J. Affect. Disord , vol.117 , pp. 5-14
    • Patten, S.B.1    Kennedy, S.H.2    Lam, R.W.3    O'donovan, C.4    Filteau, M.J.5    Parikh, S.V.6
  • 38
    • 0036339410 scopus 로고    scopus 로고
    • Functional neuroanatomy of emotion: A meta-analysis of emotion activation studies in PET and fMRI
    • Phan, K. L., Wager, T., Taylor, S. F., and Liberzon, I. (2002). Functional neuroanatomy of emotion: a meta-analysis of emotion activation studies in PET and fMRI. Neuroimage 16, 331–348. doi: 10.1006/nimg.2002.1087
    • (2002) Neuroimage , vol.16 , pp. 331-348
    • Phan, K.L.1    Wager, T.2    Taylor, S.F.3    Liberzon, I.4
  • 39
    • 0034470472 scopus 로고    scopus 로고
    • Optimal spatial filtering of single trial EEG during imagined hand movement
    • Ramoser, H., Müller-Gerking, J., and Pfurtscheller, G. (2000). Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Trans. Rehabil. Eng. 8, 441–446. doi: 10.1109/86.895946
    • (2000) IEEE Trans. Rehabil. Eng , vol.8 , pp. 441-446
    • Ramoser, H.1    Müller-Gerking, J.2    Pfurtscheller, G.3
  • 40
    • 84888797388 scopus 로고    scopus 로고
    • A toolbox for real-time subject-independent and subject-dependent classification of brain states from fMRI signals. Front
    • Rana, M., Gupta, N., Dalboni Da Rocha, J. L., Lee, S., and Sitaram, R. (2013). A toolbox for real-time subject-independent and subject-dependent classification of brain states from fMRI signals. Front. Neurosci. 7:170. doi: 10.3389/fnins.2013.00170
    • (2013) Neurosci , vol.7
    • Rana, M.1    Gupta, N.2    Dalboni Da Rocha, J.L.3    Lee, S.4    Sitaram, R.5
  • 41
    • 84877836683 scopus 로고    scopus 로고
    • Abnormal neural connectivity in schizophrenia and fMRI-brain-computer interface as a potential therapeutic approach. Front
    • Ruiz, S., Birbaumer, N., and Sitaram, R. (2013a). Abnormal neural connectivity in schizophrenia and fMRI-brain-computer interface as a potential therapeutic approach. Front. Psychiatry 4:17. doi: 10.3389/fpsyt.2013.00017
    • (2013) Psychiatry , vol.4
    • Ruiz, S.1    Birbaumer, N.2    Sitaram, R.3
  • 42
    • 84949090266 scopus 로고    scopus 로고
    • Volitional control of neural connectivity
    • eds C. Guger, B. Allison, and E. C. Leuthardt (Berlin/Heidelberg: Springer)
    • Ruiz, S., Birbaumer, N., and Sitaram, R. (2014a). “Volitional control of neural connectivity,” in Brain-Computer Interface Research, eds C. Guger, B. Allison, and E. C. Leuthardt (Berlin/Heidelberg: Springer), 63–74. doi: 10.1007/978-3-642-54707-2_7
    • (2014) Brain-Computer Interface Research , pp. 63-74
    • Ruiz, S.1    Birbaumer, N.2    Sitaram, R.3
  • 43
    • 84892525659 scopus 로고    scopus 로고
    • Real-time fMRI brain computer interfaces: Self-regulation of single brain regions to networks. Biol
    • Ruiz, S., Buyukturkoglu, K., Rana, M., Birbaumer, N., and Sitaram, R. (2014b). Real-time fMRI brain computer interfaces: self-regulation of single brain regions to networks. Biol. Psychol. 95, 4–20. doi: 10.1016/j.biopsycho.2013.04.010
    • (2014) Psychol , vol.95 , pp. 4-20
    • Ruiz, S.1    Buyukturkoglu, K.2    Rana, M.3    Birbaumer, N.4    Sitaram, R.5
  • 44
    • 84870933592 scopus 로고    scopus 로고
    • Acquired self-control of insula cortex modulates emotion recognition and brain network connectivity in schizophrenia. Hum
    • Ruiz, S., Lee, S., Soekadar, S. R., Caria, A., Veit, R., Kircher, T., et al. (2013b). Acquired self-control of insula cortex modulates emotion recognition and brain network connectivity in schizophrenia. Hum. Brain Mapp. 34, 200–212. doi: 10.1002/hbm.21427
    • (2013) Brain Mapp , vol.34 , pp. 200-212
    • Ruiz, S.1    Lee, S.2    Soekadar, S.R.3    Caria, A.4    Veit, R.5    Kircher, T.6
  • 45
    • 84891424828 scopus 로고    scopus 로고
    • Real-time fMRI pattern decoding and neurofeedback using FRIEND: An FSL-integrated BCI toolbox
    • Sato, J. R., Basilio, R., Paiva, F. F., Garrido, G. J., Bramati, I. E., Bado, P., et al. (2013). Real-time fMRI pattern decoding and neurofeedback using FRIEND: an FSL-integrated BCI toolbox. PLoS ONE 8:e81658. doi: 10.1371/journal.pone.0081658
    • (2013) Plos ONE , vol.8
    • Sato, J.R.1    Basilio, R.2    Paiva, F.F.3    Garrido, G.J.4    Bramati, I.E.5    Bado, P.6
  • 48
    • 84907972527 scopus 로고    scopus 로고
    • Volitional control of the anterior insula in criminal psychopaths using real-time fMRI neurofeedback: A pilot study
    • Sitaram, R., Caria, A., Veit, R., Gaber, T., Ruiz, S., and Birbaumer, N. (2014). Volitional control of the anterior insula in criminal psychopaths using real-time fMRI neurofeedback: a pilot study. Front. Behav. Neurosci. 8:344. doi: 10.3389/fnbeh.2014.00344
    • (2014) Front. Behav. Neurosci , vol.8
    • Sitaram, R.1    Caria, A.2    Veit, R.3    Gaber, T.4    Ruiz, S.5    Birbaumer, N.6
  • 49
    • 79955011391 scopus 로고    scopus 로고
    • Real-time support vector classification and feedback of multiple emotional brain states
    • Sitaram, R., Lee, S., Ruiz, S., Rana, M., Veit, R., and Birbaumer, N. (2011). Real-time support vector classification and feedback of multiple emotional brain states. Neuroimage 56, 753–765. doi: 10.1016/j.neuroimage.2010.08.007
    • (2011) Neuroimage , vol.56 , pp. 753-765
    • Sitaram, R.1    Lee, S.2    Ruiz, S.3    Rana, M.4    Veit, R.5    Birbaumer, N.6
  • 50
    • 33750931626 scopus 로고    scopus 로고
    • Self-regulation of slow cortical potentials: A new treatment for children with attention-deficit/hyperactivity disorder
    • Strehl, U., Leins, U., Goth, G., Klinger, C., Hinterberger, T., and Birbaumer, N. (2006). Self-regulation of slow cortical potentials: a new treatment for children with attention-deficit/hyperactivity disorder. Pediatrics 118, e1530–e1540. doi: 10.1542/peds.2005-2478
    • (2006) Pediatrics , vol.118 , pp. e1530-e1540
    • Strehl, U.1    Leins, U.2    Goth, G.3    Klinger, C.4    Hinterberger, T.5    Birbaumer, N.6
  • 51
    • 80755127254 scopus 로고    scopus 로고
    • Real-time functional magnetic resonance imaging neurofeedback for treatment of Parkinson's disease
    • Subramanian, L., Hindle, J. V., Johnston, S., Roberts, M. V., Husain, M., Goebel, R., et al. (2011). Real-time functional magnetic resonance imaging neurofeedback for treatment of Parkinson's disease. J. Neurosci. 31, 16309–16317. doi: 10.1523/JNEUROSCI.3498-11.2011
    • (2011) J. Neurosci , vol.31 , pp. 16309-16317
    • Subramanian, L.1    Hindle, J.V.2    Johnston, S.3    Roberts, M.V.4    Husain, M.5    Goebel, R.6
  • 53
    • 84895743573 scopus 로고    scopus 로고
    • Real-time FMRI neurofeedback training of amygdala activity in patients with major depressive disorder
    • Young, K. D., Zotev, V., Phillips, R., Misaki, M., Yuan, H., Drevets, W. C., et al. (2014). Real-time FMRI neurofeedback training of amygdala activity in patients with major depressive disorder. PLoS ONE 9:e88785. doi: 10.1371/journal.pone.0088785
    • (2014) Plos ONE
    • Young, K.D.1    Zotev, V.2    Phillips, R.3    Misaki, M.4    Yuan, H.5    Drevets, W.C.6


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