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Volumn 9, Issue JAN, 2015, Pages

Erratum to fNIRS-based brain-computer interfaces: A review.(Front.Hum.Neurosci, (2015) 9,(3), (10.3389/fnhum.2015.00003));fNIRS-based brain-computer interfaces: A review

Author keywords

Brain computer interface; Brain machine interface; Feature classification; Feature extraction; Functional near infrared spectroscopy (fNIRS); Physiological noise

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BRAIN COMPUTER INTERFACE; CLASSIFICATION; COGNITION; COGNITIVE REHABILITATION; ELECTROENCEPHALOGRAM; EMOTIONALITY; EXECUTIVE FUNCTION; FUNCTIONAL NEAR INFRARED SPECTROSCOPY; HIDDEN MARKOV MODEL; INDEPENDENT COMPONENT ANALYSIS; MENTAL ARITHMETIC; MOTOR ACTIVITY; MOTOR EXECUTION TASK; MOTOR IMAGERY TASK; NEAR INFRARED SPECTROSCOPY; NERVE CELL PLASTICITY; NOISE REDUCTION; PREFRONTAL CORTEX; PRIMARY MOTOR CORTEX; PROPRIOCEPTIVE FEEDBACK; PSYCHOMOTOR PERFORMANCE; REVIEW; SIGNAL TRANSDUCTION; SUPPORT VECTOR MACHINE;

EID: 84933675161     PISSN: None     EISSN: 16625161     Source Type: Journal    
DOI: 10.3389/fnhum.2015.00172     Document Type: Erratum
Times cited : (795)

References (124)
  • 1
    • 62749102113 scopus 로고    scopus 로고
    • Real-time imaging of human brain function by near-infrared spectroscopy using an adaptive general linear model
    • Abdelnour, A. F., and Huppert, T. (2009). Real-time imaging of human brain function by near-infrared spectroscopy using an adaptive general linear model. Neuroimage 46, 133-143. doi: 10.1016/j.neuroimage.2009.01.033
    • (2009) Neuroimage , vol.46 , pp. 133-143
    • Abdelnour, A.F.1    Huppert, T.2
  • 2
    • 84869502428 scopus 로고    scopus 로고
    • Classification of frontal cortex hemodynamic responses during cognitive tasks using wavelet transforms and machine learning algorithms
    • Abibullaev, B., and An, J. (2012). Classification of frontal cortex hemodynamic responses during cognitive tasks using wavelet transforms and machine learning algorithms. Med. Eng. Phys. 34, 1394-1410. doi: 10.1016/j.medengphy.2012.01.002
    • (2012) Med. Eng. Phys , vol.34 , pp. 1394-1410
    • Abibullaev, B.1    An, J.2
  • 3
    • 84859362348 scopus 로고    scopus 로고
    • Neural network classification of brain hemodynamic responses from four mental tasks
    • Abibullaev, B., An, J., and Moon, J. I. (2011). Neural network classification of brain hemodynamic responses from four mental tasks. Int. J. Optomechatronics 5, 340-359. doi: 10.1080/15599612.2011.633209
    • (2011) Int. J. Optomechatronics , vol.5 , pp. 340-359
    • Abibullaev, B.1    An, J.2    Moon, J.I.3
  • 4
    • 84899856542 scopus 로고    scopus 로고
    • An experimental setup for brain activity measurement based on near infrared spectroscopy
    • Adhika, D. R., Hazrati, M. K., and Hofmann, U. G. (2012). An experimental setup for brain activity measurement based on near infrared spectroscopy. Biomed. Tech. 57, 609-612. doi: 10.1515/bmt-2012-4487
    • (2012) Biomed. Tech , vol.57 , pp. 609-612
    • Adhika, D.R.1    Hazrati, M.K.2    Hofmann, U.G.3
  • 5
    • 33746778559 scopus 로고    scopus 로고
    • Cerebrovascular dynamics in patients with migraine: Near-infrared spectroscopy study
    • Akin, A., Bilensoy, D., Emir, U. E., Gulsoy, M., Candansayar, S., and Bolay, H. (2006). Cerebrovascular dynamics in patients with migraine: near-infrared spectroscopy study. Neurosci. Lett. 400, 86-91. doi: 10.1016/j.neulet.2006.02.016
    • (2006) Neurosci. Lett , vol.400 , pp. 86-91
    • Akin, A.1    Bilensoy, D.2    Emir, U.E.3    Gulsoy, M.4    Candansayar, S.5    Bolay, H.6
  • 7
    • 84859004551 scopus 로고    scopus 로고
    • Cortical brain imaging by adaptive filtering of NIRS signals
    • Aqil, M., Hong, K.-S., Jeong, M.-Y., and Ge, S. S. (2012a). Cortical brain imaging by adaptive filtering of NIRS signals. Neurosci. Lett. 514, 35-41. doi: 10.1016/j.neulet.2012.02.048
    • (2012) Neurosci. Lett , vol.514 , pp. 35-41
    • Aqil, M.1    Hong, K.-S.2    Jeong, M.-Y.3    Ge, S.S.4
  • 8
    • 84864335589 scopus 로고    scopus 로고
    • Detection of eventrelated hemodynamic response to neuroactivation by dynamic modeling of brain activity
    • Aqil, M., Hong, K.-S., Jeong, M.-Y., and Ge, S. S. (2012b). Detection of eventrelated hemodynamic response to neuroactivation by dynamic modeling of brain activity. Neuroimage 63, 553-568. doi: 10.1016/j.neuroimage.2012.07.006
    • (2012) Neuroimage , vol.63 , pp. 553-568
    • Aqil, M.1    Hong, K.-S.2    Jeong, M.-Y.3    Ge, S.S.4
  • 9
    • 79960762620 scopus 로고    scopus 로고
    • Optical brain monitoring for operator training and mental workload assessment
    • Ayaz, H., Shewokis, P. A., Bunce, S., Izzetoglu, K., Willems, B., and Onaral, B. (2012). Optical brain monitoring for operator training and mental workload assessment. Neuroimage 59, 36-47. doi: 10.1016/j.neuroimage.2011.06.023
    • (2012) Neuroimage , vol.59 , pp. 36-47
    • Ayaz, H.1    Shewokis, P.A.2    Bunce, S.3    Izzetoglu, K.4    Willems, B.5    Onaral, B.6
  • 10
    • 77951993822 scopus 로고    scopus 로고
    • Assessment of cognitive neural correlates for a functional near infrared-based brain computer interface system
    • eds D. D. Schmorrow, I. V. Estabrooke, and M. Grootjen (Heidelberg: Springer-Verlag
    • Ayaz, H., Shewokis, P., Bunce, S., Schultheis, M., and Onaral, B. (2009). “Assessment of cognitive neural correlates for a functional near infrared-based brain computer interface system,” in Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, eds D. D. Schmorrow, I. V. Estabrooke, and M. Grootjen (Heidelberg: Springer-Verlag), 699-708.
    • (2009) Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience , pp. 699-708
    • Ayaz, H.1    Shewokis, P.2    Bunce, S.3    Schultheis, M.4    Onaral, B.5
  • 11
    • 38949217777 scopus 로고    scopus 로고
    • Development, set-up and first results for a one-channel near-infrared spectroscopy system
    • Bauernfeind, G., Leeb, R., Wriessnegger, S. C., and Pfurtscheller, G. (2008). Development, set-up and first results for a one-channel near-infrared spectroscopy system. Biomed. Tech. 53, 36-43. doi: 10.1515/BMT.2008.005
    • (2008) Biomed. Tech , vol.53 , pp. 36-43
    • Bauernfeind, G.1    Leeb, R.2    Wriessnegger, S.C.3    Pfurtscheller, G.4
  • 12
    • 80054820319 scopus 로고    scopus 로고
    • Single-trial classification of antagonistic oxyhemoglobin responses during mental arithmetic
    • Bauernfeind, G., Scherer, R., Pfurtscheller, G., and Neuper, C. (2011). Single-trial classification of antagonistic oxyhemoglobin responses during mental arithmetic. Med. Biol. Eng. Comput. 49, 979-984. doi: 10.1007/s11517-011-0792-5
    • (2011) Med. Biol. Eng. Comput , vol.49 , pp. 979-984
    • Bauernfeind, G.1    Scherer, R.2    Pfurtscheller, G.3    Neuper, C.4
  • 13
    • 84894149593 scopus 로고    scopus 로고
    • Note: Three wavelengths near-infrared spectroscopy system for compensating the light absorbance by water
    • Bhutta, M. R., Hong, K.-S., Kim, B.-M., Hong, M. J., Kim, Y.-H., and Lee, S.-H. (2014). Note: Three wavelengths near-infrared spectroscopy system for compensating the light absorbance by water. Rev. Sci. Intrum. 85:026111. doi: 10.1063/1.4865124
    • (2014) Rev. Sci. Intrum , vol.85 , pp. 026111
    • Bhutta, M.R.1    Hong, K.-S.2    Kim, B.-M.3    Hong, M.J.4    Kim, Y.-H.5    Lee, S.-H.6
  • 14
    • 3142758096 scopus 로고    scopus 로고
    • Improving the diffuse optical imaging spatial resolution of the cerebral hemodynamic response to brain activation in humans
    • Boas, D. A., Chen, K., Grebert, D., and Franceschini, M. A. (2004b). Improving the diffuse optical imaging spatial resolution of the cerebral hemodynamic response to brain activation in humans. Opt. Lett. 29, 1506-1508. doi: 10.1364/OL.29.001506
    • (2004) Opt. Lett , vol.29 , pp. 1506-1508
    • Boas, D.A.1    Chen, K.2    Grebert, D.3    Franceschini, M.A.4
  • 15
    • 7044260963 scopus 로고    scopus 로고
    • Diffuse optical imaging of brain activation: Approaches to optimizing image sensitivity, resolution, and accuracy
    • Boas, D. A., Dale, A. M., and Franceschini, M. A. (2004a). Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy. Neuroimage 23, S275-S288. doi: 10.1016/j.neuroimage.2004.07.011
    • (2004) Neuroimage , vol.23 , pp. S275-S288
    • Boas, D.A.1    Dale, A.M.2    Franceschini, M.A.3
  • 16
    • 41249093155 scopus 로고    scopus 로고
    • Think to move: A neuromagnetic brain-computer interface (BCI) system for chronic stroke
    • Buch, E., Weber, C., Cohen, L. G., Braun, C., Dimyan, M. A., Ard, T., et al. (2008). Think to move: a neuromagnetic brain-computer interface (BCI) system for chronic stroke. Stroke 39, 910-917. doi: 10.1161/STROKEAHA.107.505313
    • (2008) Stroke , vol.39 , pp. 910-917
    • Buch, E.1    Weber, C.2    Cohen, L.G.3    Braun, C.4    Dimyan, M.A.5    Ard, T.6
  • 17
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges, C. J. C. (1998). A tutorial on support vector machines for pattern recognition. Knowl. Discov. Data Min. 2, 121-167. doi: 10.1023/A:1009715923555
    • (1998) Knowl. Discov. Data Min , vol.2 , pp. 121-167
    • Burges, C.1
  • 18
    • 84859036925 scopus 로고    scopus 로고
    • Investigating the need for modeling temporal dependencies in a brain-computer interface with real-time feedback based on near infrared spectra
    • Chan, J., Power, S., and Chau, T. (2012). Investigating the need for modeling temporal dependencies in a brain-computer interface with real-time feedback based on near infrared spectra. J. Near Infrared Spectrosc. 20, 107-116. doi: 10.1255/jnirs.971
    • (2012) J. Near Infrared Spectrosc , vol.20 , pp. 107-116
    • Chan, J.1    Power, S.2    Chau, T.3
  • 19
    • 84870944860 scopus 로고    scopus 로고
    • A systematic comparison of motion artifact correction techniques for functional near-infrared spectroscopy
    • Cooper, R. J., Selb, J., Gagnon, L., Phillip, D., Schytz, H. W., Iversen, H. K., et al. (2012). A systematic comparison of motion artifact correction techniques for functional near-infrared spectroscopy. Front. Neurosci. 6:147. doi: 10.3389/fnins.2012.00147
    • (2012) Front. Neurosci , vol.6 , pp. 147
    • Cooper, R.J.1    Selb, J.2    Gagnon, L.3    Phillip, D.4    Schytz, H.W.5    Iversen, H.K.6
  • 20
    • 37749001843 scopus 로고    scopus 로고
    • Brain-computer interface using a simplified functional near-infrared spectroscopy system
    • Coyle, S. M., Ward, T. E., and Markham, C. M. (2007). Brain-computer interface using a simplified functional near-infrared spectroscopy system. J. Neural Eng. 4, 219-226. doi: 10.1088/1741-2560/4/3/007
    • (2007) J. Neural Eng , vol.4 , pp. 219-226
    • Coyle, S.M.1    Ward, T.E.2    Markham, C.M.3
  • 21
    • 4344692576 scopus 로고    scopus 로고
    • On the suitability of near-infrared (NIR) systems for next-generation brain-computer interfaces
    • Coyle, S., Ward, T., Markham, C., and McDarby, G. (2004). On the suitability of near-infrared (NIR) systems for next-generation brain-computer interfaces. Physiol. Meas. 25, 815-822. doi: 10.1088/0967-3334/25/4/003
    • (2004) Physiol. Meas , vol.25 , pp. 815-822
    • Coyle, S.1    Ward, T.2    Markham, C.3    McDarby, G.4
  • 22
    • 73749087391 scopus 로고    scopus 로고
    • Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics
    • Cui, X., Bray, S., and Reiss, A. L. (2010a). Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics. Neuroimage 49, 3039-3046. doi: 10.1016/j.neuroimage.2009.11.050
    • (2010) Neuroimage , vol.49 , pp. 3039-3046
    • Cui, X.1    Bray, S.2    Reiss, A.L.3
  • 23
    • 78649753679 scopus 로고    scopus 로고
    • Speeded near-infrared spectroscopy (NIRS) response detection
    • Cui, X., Bray, S., and Reiss, A. L. (2010b). Speeded near-infrared spectroscopy (NIRS) response detection. PLoS ONE 5:e15474. doi: 10.1371/jour-nal.pone.0015474
    • (2010) Plos ONE , vol.5 , pp. e15474
    • Cui, X.1    Bray, S.2    Reiss, A.L.3
  • 24
    • 0024206831 scopus 로고
    • Estimation of optical pathlength through tissue from direct time of flight measurement
    • Delpy, D. T., Cope, M., van der Zee, P., Arridge, S., Wray, S., and Wyatt, J. (1988). Estimation of optical pathlength through tissue from direct time of flight measurement. Phys. Med. Biol. 33, 1433-1442. doi: 10.1088/0031-9155/33/12/008
    • (1988) Phys. Med. Biol , vol.33 , pp. 1433-1442
    • Delpy, D.T.1    Cope, M.2    Van Der Zee, P.3    Arridge, S.4    Wray, S.5    Wyatt, J.6
  • 25
    • 79954511812 scopus 로고    scopus 로고
    • Taking NIRS-BCIs outside the lab: Towards achieving robustness against environment noise
    • Falk, T. H., Guirgis, M., Power, S., and Chau, T. (2011). Taking NIRS-BCIs outside the lab: towards achieving robustness against environment noise. IEEE Trans. Neural Syst. Rehabil. Eng. 19, 136-146. doi: 10.1109/TNSRE.2010.2078516
    • (2011) IEEE Trans. Neural Syst. Rehabil. Eng , vol.19 , pp. 136-146
    • Falk, T.H.1    Guirgis, M.2    Power, S.3    Chau, T.4
  • 26
    • 84876704356 scopus 로고    scopus 로고
    • Towards a multimodal brain-computer interface: Combining fNIRS and fTCD measurements to enable higher classification accuracy
    • Faress, A., and Chau, T. (2013). Towards a multimodal brain-computer interface: combining fNIRS and fTCD measurements to enable higher classification accuracy. Neuroimage 77, 186-194. doi: 10.1016/j.neuroimage.2013.03.028
    • (2013) Neuroimage , vol.77 , pp. 186-194
    • Faress, A.1    Chau, T.2
  • 27
    • 80054090365 scopus 로고    scopus 로고
    • Enhanced performance by a hybrid NIRS-EEG brain-computer interface
    • Fazli, S., Mehnert, J., Steinbrink, J., Curio, G., Villringer, A., Muller, K. R., et al. (2012). Enhanced performance by a hybrid NIRS-EEG brain-computer interface. Neuroimage 59, 519-529. doi: 10.1016/j.neuroimage.2011.07.084
    • (2012) Neuroimage , vol.59 , pp. 519-529
    • Fazli, S.1    Mehnert, J.2    Steinbrink, J.3    Curio, G.4    Villringer, A.5    Muller, K.R.6
  • 28
    • 80052405494 scopus 로고    scopus 로고
    • The NIRS analysis package: Noise reduction and statistical inference
    • Fekete, T., Rubin, D., Carlson, J. M., and Mujica-Parodi, L. R. (2011). The NIRS analysis package: noise reduction and statistical inference. PLoS ONE 6:e24322. doi: 10.1371/journal.pone.0024322
    • (2011) Plos ONE , vol.6 , pp. e24322
    • Fekete, T.1    Rubin, D.2    Carlson, J.M.3    Mujica-Parodi, L.R.4
  • 29
    • 0022328752 scopus 로고
    • Continuous non invasive monitoring of human brain by near infrared spectroscopy
    • Ferrari, M., Giannini, I., Sideri, G., and Zanette, E. (1985). Continuous non invasive monitoring of human brain by near infrared spectroscopy. Adv. Exp. Med. Biol. 191, 873-882. doi: 10.1007/978-1-4684-3291-6_88
    • (1985) Adv. Exp. Med. Biol , vol.191 , pp. 873-882
    • Ferrari, M.1    Giannini, I.2    Sideri, G.3    Zanette, E.4
  • 30
    • 4243181344 scopus 로고    scopus 로고
    • Principles, techniques, and limitations of near infrared spectroscopy
    • Ferrari, M., Mottola, L., and Quaresima, V. (2004). Principles, techniques, and limitations of near infrared spectroscopy. Can. J. Appl. Physiol. 29, 463-487. doi: 10.1139/h04-031
    • (2004) Can. J. Appl. Physiol , vol.29 , pp. 463-487
    • Ferrari, M.1    Mottola, L.2    Quaresima, V.3
  • 32
    • 84889686957 scopus 로고    scopus 로고
    • Quantitative evaluation of deep and shallow tissue layers’ contribution to fNIRS signal using multi-distance optodes and independent component analysis
    • Funane, T., Atsumori, H., Katura, T., Obata, A. N., Sato, H., Tanikawa, Y., et al. (2014). Quantitative evaluation of deep and shallow tissue layers’ contribution to fNIRS signal using multi-distance optodes and independent component analysis. Neuroimage 85, 150-165. doi: 10.1016/j.neuroimage.2013.02.026
    • (2014) Neuroimage , vol.85 , pp. 150-165
    • Funane, T.1    Atsumori, H.2    Katura, T.3    Obata, A.N.4    Sato, H.5    Tanikawa, Y.6
  • 33
    • 84857035006 scopus 로고    scopus 로고
    • Quantification of the cortical contribution to the NIRS signal over the motor cortex using concurrent NIRS-fMRI measurements
    • Gagnon, L., Yucel, M. A., Dehaes, M., Cooper, R. J., Perdue, K. L., Selb, J., et al. (2012). Quantification of the cortical contribution to the NIRS signal over the motor cortex using concurrent NIRS-fMRI measurements. Neuroimage 59, 3933-3940. doi: 10.1016/j.neuroimage.2011.10.054
    • (2012) Neuroimage , vol.59 , pp. 3933-3940
    • Gagnon, L.1    Yucel, M.A.2    Dehaes, M.3    Cooper, R.J.4    Perdue, K.L.5    Selb, J.6
  • 34
    • 33748331172 scopus 로고    scopus 로고
    • Effects of measurement method, wavelength, and sourcedetector distance on the fast optical signal
    • Gratton, G., Brumback, C. R., Gordon, B. A., Pearson, M. A., Low, K. A., and Fabiani, M. (2006). Effects of measurement method, wavelength, and sourcedetector distance on the fast optical signal. Neuroimage 32, 1576-1590. doi: 10.1016/j.neuroimage.2006.05.030
    • (2006) Neuroimage , vol.32 , pp. 1576-1590
    • Gratton, G.1    Brumback, C.R.2    Gordon, B.A.3    Pearson, M.A.4    Low, K.A.5    Fabiani, M.6
  • 35
    • 84904701778 scopus 로고    scopus 로고
    • EEG-neurofeedback for optimising performance. I: A review of cognitive and affective outcome in healthy participants
    • Gruzelier, J. H. (2013). EEG-neurofeedback for optimising performance. I: a review of cognitive and affective outcome in healthy participants. Neurosci. Biobehav. Rev. 44, 124-141. doi: 10.1016/j.neubiorev.2013.09.015
    • (2013) Neurosci. Biobehav. Rev , vol.44 , pp. 124-141
    • Gruzelier, J.H.1
  • 36
    • 84885067465 scopus 로고    scopus 로고
    • Temporal hemodynamic classification of two hands tapping using functional near-infrared spectroscopy
    • Hai, N. T., Cuong, N. Q., Khoa, T. Q. D., and Toi, V. V. (2013). Temporal hemodynamic classification of two hands tapping using functional near-infrared spectroscopy. Front. Hum. Neurosci. 7:516. doi: 10.3389/fnhum.2013.00516
    • (2013) Front. Hum. Neurosci , vol.7 , pp. 516
    • Hai, N.T.1    Cuong, N.Q.2    Khoa, T.3    Toi, V.V.4
  • 37
    • 84905664245 scopus 로고    scopus 로고
    • Visuo-motor coordination ability predicts performance with brain-computer interfaces controlled by modulation of sensorimotor rhythms (SMR)
    • Hammer, E. M., Kaufmann, T., Kleih, S. C., Blankertz, B., and Kubler, A. (2014). Visuo-motor coordination ability predicts performance with brain-computer interfaces controlled by modulation of sensorimotor rhythms (SMR). Front. Hum. Neurosci. 8:574. doi: 10.3389/fnhum.2014.00574
    • (2014) Front. Hum. Neurosci , vol.8 , pp. 574
    • Hammer, E.M.1    Kaufmann, T.2    Kleih, S.C.3    Blankertz, B.4    Kubler, A.5
  • 38
    • 79958802226 scopus 로고    scopus 로고
    • Single-trial classification of motor imagery differing in task complexity: A functional near-infrared spectroscopy study
    • Holper, L., and Wolf, M. (2011). Single-trial classification of motor imagery differing in task complexity: a functional near-infrared spectroscopy study. J. Neuroeng. Rehabil. 8:34. doi: 10.1186/1743-0003-8-34
    • (2011) J. Neuroeng. Rehabil , vol.8 , pp. 34
    • Holper, L.1    Wolf, M.2
  • 39
    • 84919933401 scopus 로고    scopus 로고
    • Classification of prefrontal and motor cortex signals for three-class fNIRS-BCI
    • Hong, K.-S., Naseer, N., and Kim, Y.-H. (2015). Classification of prefrontal and motor cortex signals for three-class fNIRS-BCI. Neurosci. Lett. 587, 87-92. doi: 10.1016/j.neulet.2014.12.029
    • (2015) Neurosci. Lett , vol.587 , pp. 87-92
    • Hong, K.-S.1    Naseer, N.2    Kim, Y.-H.3
  • 40
    • 84917733894 scopus 로고    scopus 로고
    • State-space models of impulse hemodynamic responses over motor, somatosensory, and visual cortices
    • Hong, K.-S., and Nguyen, H.-D. (2014). State-space models of impulse hemodynamic responses over motor, somatosensory, and visual cortices. Biomed. Opt. Express 5, 1778-1798. doi: 10.1364/BOE.5.001778
    • (2014) Biomed. Opt. Express , vol.5 , pp. 1778-1798
    • Hong, K.-S.1    Nguyen, H.-D.2
  • 41
    • 0028308777 scopus 로고
    • Non-synchronous behavior of neuronal-activity, oxidative-metabolism and blood-supply during mental tasks in man
    • Hoshi, Y., Onoe, H., Watanabe, Y., Andersson, J., Bergstrom, M., Lilja, A., et al. (1994). Non-synchronous behavior of neuronal-activity, oxidative-metabolism and blood-supply during mental tasks in man. Neurosci. Lett. 172, 129-133. doi: 10.1016/0304-3940(94)90679-3
    • (1994) Neurosci. Lett , vol.172 , pp. 129-133
    • Hoshi, Y.1    Onoe, H.2    Watanabe, Y.3    Ersson, J.4    Bergstrom, M.5    Lilja, A.6
  • 42
    • 0030810165 scopus 로고    scopus 로고
    • Near-infrared optical detection of sequential brain activation in the prefrontal cortex during mental tasks
    • Hoshi, Y., and Tamura, M. (1997). Near-infrared optical detection of sequential brain activation in the prefrontal cortex during mental tasks. Neuroimage 5, 292-297. doi: 10.1006/nimg.1997.0270
    • (1997) Neuroimage , vol.5 , pp. 292-297
    • Hoshi, Y.1    Tamura, M.2
  • 43
    • 80053932607 scopus 로고    scopus 로고
    • Recognition of stimulus-evoked neuronal optical response by identifying chaos levels of near-infrared spectroscopy time series
    • Hu, X.-S., Hong, K.-S., and Ge, S. S. (2011). Recognition of stimulus-evoked neuronal optical response by identifying chaos levels of near-infrared spectroscopy time series. Neurosci. Lett. 504, 115-120. doi: 10.1016/j.neulet.2011.09.011
    • (2011) Neurosci. Lett , vol.504 , pp. 115-120
    • Hu, X.-S.1    Hong, K.-S.2    Ge, S.S.3
  • 44
    • 84863245736 scopus 로고    scopus 로고
    • FNIRS-based online deception decoding
    • Hu, X.-S., Hong, K.-S., and Ge, S. S. (2012). fNIRS-based online deception decoding. J Neural Eng. 9:026012. doi: 10.1088/1741-2560/9/2/026012
    • (2012) J Neural Eng , vol.9 , pp. 026012
    • Hu, X.-S.1    Hong, K.-S.2    Ge, S.S.3
  • 45
    • 84878256852 scopus 로고    scopus 로고
    • Reduction of trial-to-trial variations in functional near-infrared spectroscopy signals by accounting for resting-state functional connectivity
    • Hu, X.-S., Hong, K.-S., and Ge, S. S. (2013). Reduction of trial-to-trial variations in functional near-infrared spectroscopy signals by accounting for resting-state functional connectivity. J. Biomed. Opt. 18:017003. doi: 10.1117/1.JBO.18.1.017003
    • (2013) J. Biomed. Opt , vol.18 , pp. 017003
    • Hu, X.-S.1    Hong, K.-S.2    Ge, S.S.3
  • 46
    • 78649799619 scopus 로고    scopus 로고
    • Kalman estimatorand general linear model-based on-line brain activation mapping by near-infrared spectroscopy
    • Hu, X.-S., Hong, K.-S., Ge, S. S., and Jeong, M.-Y. (2010). Kalman estimatorand general linear model-based on-line brain activation mapping by near-infrared spectroscopy. Biomed. Eng. Online 9:82. doi: 10.1186/1475-925X-9-82
    • (2010) Biomed. Eng. Online , vol.9 , pp. 82
    • Hu, X.-S.1    Hong, K.-S.2    Ge, S.S.3    Jeong, M.-Y.4
  • 47
    • 65249169372 scopus 로고    scopus 로고
    • HomER: A review of time-series analysis methods for near-infrared spectroscopy of the brain
    • Huppert, T. J., Diamond, S. G., Fransceshini, M. A., and Boas, D. A. (2009). HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. Appl. Opt. 48, D280-D298. doi: 10.1364/AO.48.00D280
    • (2009) Appl. Opt , vol.48 , pp. D280-D298
    • Huppert, T.J.1    Diamond, S.G.2    Fransceshini, M.A.3    Boas, D.A.4
  • 48
    • 30344470220 scopus 로고    scopus 로고
    • A temporal comparison of BOLD, ASL, and NIRS hemodynamic responses to motor stimuli in adult humans
    • Huppert, T. J., Hoge, R. D., Diamond, S. G., Franceschini, M. A., and Boas, D. A. (2006). A temporal comparison of BOLD, ASL, and NIRS hemodynamic responses to motor stimuli in adult humans. Neuroimage 29, 368-382. doi: 10.1016/j.neuroimage.2005.08.065
    • (2006) Neuroimage , vol.29 , pp. 368-382
    • Huppert, T.J.1    Hoge, R.D.2    Diamond, S.G.3    Franceschini, M.A.4    Boas, D.A.5
  • 49
    • 84890088018 scopus 로고    scopus 로고
    • EEG-based brain-computer interfaces: A thorough literature survey
    • Hwang, H.-J., Kim, S., Choi, S., and Im, C.-H. (2013). EEG-based brain-computer interfaces: a thorough literature survey. Int. J. Hum. Comp. Int. 29, 814-826. doi: 10.1080/10447318.2013.780869
    • (2013) Int. J. Hum. Comp. Int , vol.29 , pp. 814-826
    • Hwang, H.-J.1    Kim, S.2    Choi, S.3    Im, C.-H.4
  • 50
    • 84910020691 scopus 로고    scopus 로고
    • Evaluation of various mental task combinations for near-infrared spectroscopy-based braincomputer interfaces
    • Hwang, H.-J., Lim, J.-H., Kim, D.-W., and Im, C.-H. (2014). Evaluation of various mental task combinations for near-infrared spectroscopy-based braincomputer interfaces. J. Biomed. Opt. 19:077005. doi: 10.1117/1.JBO.19.7.077005
    • (2014) J. Biomed. Opt , vol.19 , pp. 077005
    • Hwang, H.-J.1    Lim, J.-H.2    Kim, D.-W.3    Im, C.-H.4
  • 51
    • 18744364179 scopus 로고    scopus 로고
    • Motion artifact cancellation in NIR spectroscopy using Wiener filtering
    • Izzetoglu, M., Devaraj, A., Bunce, S., and Onaral, B. (2005). Motion artifact cancellation in NIR spectroscopy using Wiener filtering. IEEE Trans. Biomed. Eng. 52, 934-938. doi: 10.1109/TBME.2005.845243
    • (2005) IEEE Trans. Biomed. Eng , vol.52 , pp. 934-938
    • Izzetoglu, M.1    Devaraj, A.2    Bunce, S.3    Onaral, B.4
  • 52
    • 0017571334 scopus 로고
    • Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters
    • Jobsis, F. F. (1977). Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science 198, 1264-1267. doi: 10.1126/science.929199
    • (1977) Science , vol.198 , pp. 1264-1267
    • Jobsis, F.F.1
  • 53
    • 84889647244 scopus 로고    scopus 로고
    • Cortical effects of user training in a motor imagery based braincomputer interface measured by fNIRS and EEG
    • Kaiser, V., Gauernfeind, G., Kreilinger, A., Kaufmann, T., Kubler, A., Neuper, C., et al. (2014). Cortical effects of user training in a motor imagery based braincomputer interface measured by fNIRS and EEG. Neuroimage 85, 432-444. doi: 10.1016/j.neuroimage.2013.04.097
    • (2014) Neuroimage , vol.85 , pp. 432-444
    • Kaiser, V.1    Gauernfeind, G.2    Kreilinger, A.3    Kaufmann, T.4    Kubler, A.5    Neuper, C.6
  • 54
    • 84884373000 scopus 로고    scopus 로고
    • Linear parameter-varying model and adaptive filtering technique for detecting neuronal activities: An fNIRS study
    • Kamran, M. A., and Hong, K.-S. (2013). Linear parameter-varying model and adaptive filtering technique for detecting neuronal activities: an fNIRS study. J. Neural Eng. 10:056002. doi: 10.1088/1741-2560/10/5/056002
    • (2013) J. Neural Eng , vol.10 , pp. 056002
    • Kamran, M.A.1    Hong, K.-S.2
  • 55
    • 84906489093 scopus 로고    scopus 로고
    • Reduction of physiological effects in fNIRS waveforms for efficient brain-state decoding
    • Kamran, M. A., and Hong, K.-S. (2014). Reduction of physiological effects in fNIRS waveforms for efficient brain-state decoding. Neurosci. Lett. 580, 130-136. doi: 10.1016/j.neulet.2014.07.058
    • (2014) Neurosci. Lett , vol.580 , pp. 130-136
    • Kamran, M.A.1    Hong, K.-S.2
  • 56
    • 0027155883 scopus 로고
    • Human visual cortical function during photic stimulation monitoring by means of near-infrared spectroscopy
    • Kato, T., Kamei, A., Takashima, S., and Ozaki, T. (1993). Human visual cortical function during photic stimulation monitoring by means of near-infrared spectroscopy. J. Cereb. Blood Flow Metab. 13, 516-520. doi: 10.1038/jcbfm.1993.66
    • (1993) J. Cereb. Blood Flow Metab , vol.13 , pp. 516-520
    • Kato, T.1    Kamei, A.2    Takashima, S.3    Ozaki, T.4
  • 57
    • 84899704224 scopus 로고    scopus 로고
    • Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
    • Khan, M. J., Hong, M. J., and Hong, K.-S. (2014). Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface. Front. Hum. Neurosci. 8:244. doi: 10.3389/fnhum.2014.00244
    • (2014) Front. Hum. Neurosci , vol.8 , pp. 244
    • Khan, M.J.1    Hong, M.J.2    Hong, K.-S.3
  • 58
    • 73049108812 scopus 로고    scopus 로고
    • Functional near-infrared spectroscope for cognition brain tasks by wavelets analysis and neural networks
    • Khoa, T. Q. D., and Nakagawa, M. (2008). Functional near-infrared spectroscope for cognition brain tasks by wavelets analysis and neural networks. Int. J. Biol. Life Sci. 4, 28-33. doi: 10.1186/1753-4631-2-3
    • (2008) Int. J. Biol. Life Sci , vol.4 , pp. 28-33
    • Khoa, T.1    Nakagawa, M.2
  • 59
    • 84906573248 scopus 로고    scopus 로고
    • Combined use of multiple computational intracranial EEG analysis techniques for the localization of epileptogenic zones in Lennox-Gastaut syndrome
    • Kim, J.-Y., Kang, H.-C., Cho, J.-H., Lee, J.-H., Kim, H.-D., and Im, C.-H. (2014). Combined use of multiple computational intracranial EEG analysis techniques for the localization of epileptogenic zones in Lennox-Gastaut syndrome. Clin. EEG Neurosci. 45, 169-178. doi: 10.1177/1550059413495393
    • (2014) Clin. EEG Neurosci , vol.45 , pp. 169-178
    • Kim, J.-Y.1    Kang, H.-C.2    Cho, J.-H.3    Lee, J.-H.4    Kim, H.-D.5    Im, C.-H.6
  • 60
    • 84859049138 scopus 로고    scopus 로고
    • The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy
    • Kirilina, E., Jelzow, A., Heine, A., Niessing, M., Wabnitz, H., Brühl, R., et al. (2012). The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy. Neuroimage 61, 70-81. doi: 10.1016/j.neuroimage.2012.02.074
    • (2012) Neuroimage , vol.61 , pp. 70-81
    • Kirilina, E.1    Jelzow, A.2    Heine, A.3    Niessing, M.4    Wabnitz, H.5    Brühl, R.6
  • 61
    • 84890854687 scopus 로고    scopus 로고
    • Identifying and quantifying main components of physiological noise in functional near infrared spectroscopy on the prefrontal cortex
    • Kirilina, E., Yu, N., Jelzow, A., Wabnitz, H., Jacobs, A. M., and Tachtsidis, I. (2013). Identifying and quantifying main components of physiological noise in functional near infrared spectroscopy on the prefrontal cortex. Front. Hum. Neurosci. 7:864. doi: 10.3389/fnhum.2013.00864
    • (2013) Front. Hum. Neurosci , vol.7 , pp. 864
    • Kirilina, E.1    Yu, N.2    Jelzow, A.3    Wabnitz, H.4    Jacobs, A.M.5    Tachtsidis, I.6
  • 62
    • 84886386238 scopus 로고    scopus 로고
    • Empathy, motivation, and P300-BCI performance
    • Kleih, S. C., and Kubler, A. (2013). Empathy, motivation, and P300-BCI performance. Front. Hum. Neurosci. 7:642. doi: 10.3389/fnhum.2013.00642
    • (2013) Front. Hum. Neurosci , vol.7 , pp. 642
    • Kleih, S.C.1    Kubler, A.2
  • 63
    • 84879349116 scopus 로고    scopus 로고
    • Harmony search-based hidden Markov model optimization for online classification of single trial EEGs during motor imagery tasks
    • Ko, K. E., and Sim, K. B. (2013). Harmony search-based hidden Markov model optimization for online classification of single trial EEGs during motor imagery tasks. Int. J. Control. Autom. 11, 608-613. doi: 10.1007/s12555-012-0035-z
    • (2013) Int. J. Control. Autom , vol.11 , pp. 608-613
    • Ko, K.E.1    Sim, K.B.2
  • 64
    • 84892498191 scopus 로고    scopus 로고
    • Near-infrared spectroscopy based neurofeedback training increases specific motor imagery related cortical activation compared to sham feedback
    • Kober, S. E., Wood, G., Kurzmann, J., Friedrich, E. V., Stangl, M., Wippel, T., et al. (2014). Near-infrared spectroscopy based neurofeedback training increases specific motor imagery related cortical activation compared to sham feedback. Biol. Psychol. 95, 21-30. doi: 10.1016/j.biopsycho.2013.05.005
    • (2014) Biol. Psychol , vol.95 , pp. 21-30
    • Kober, S.E.1    Wood, G.2    Kurzmann, J.3    Friedrich, E.V.4    Stangl, M.5    Wippel, T.6
  • 65
    • 37549040515 scopus 로고    scopus 로고
    • Removal of the skin blood flow artifact in functional near-infrared spectroscopic imaging data through independent component analysis
    • Kohno, S., Miyai, I., Seiyama, A., Oda, I., Ishikawa, A., Tsuneishi, S., et al. (2007). Removal of the skin blood flow artifact in functional near-infrared spectroscopic imaging data through independent component analysis. J. Biomed. Opt. 12:062111. doi: 10.1117/1.2814249
    • (2007) J. Biomed. Opt , vol.12 , pp. 062111
    • Kohno, S.1    Miyai, I.2    Seiyama, A.3    Oda, I.4    Ishikawa, A.5    Tsuneishi, S.6
  • 66
    • 84930636201 scopus 로고    scopus 로고
    • A hybrid NIRS-EEG system for self-paced brain computer interface with online motor imagery
    • [Epub ahead of print]
    • Koo, B., Lee, H.-G., Nam, Y., Kang, H., Koh, C.-S., Shin, H.-C., et al. (2014). A hybrid NIRS-EEG system for self-paced brain computer interface with online motor imagery. J. Neurosci. Methods. doi: 10.1016/j.jneumeth.2014.04.016. [Epub ahead of print].
    • (2014) J. Neurosci. Methods
    • Koo, B.1    Lee, H.-G.2    Nam, Y.3    Kang, H.4    Koh, C.-S.5    Shin, H.-C.6
  • 67
    • 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
  • 68
    • 84884834006 scopus 로고    scopus 로고
    • Towards a hybrid P300based BCI using simultaneous fNIR and EEG
    • eds D. Schmorrow and C. Fidopiastis (Heidelberg: Springer-Verlag
    • Liu, Y., Ayaz, H., Curtin, A., and Onarall, B. (2013). “Towards a hybrid P300based BCI using simultaneous fNIR and EEG,” in Foundations of Augmented Cognition, eds D. Schmorrow and C. Fidopiastis (Heidelberg: Springer-Verlag), 335-344.
    • (2013) Foundations of Augmented Cognition , pp. 335-344
    • Liu, Y.1    Ayaz, H.2    Curtin, A.3    Onarall, B.4
  • 69
    • 34247179140 scopus 로고    scopus 로고
    • A review of classification algorithms for EEG-based brain-computer interfaces
    • Lotte, F., Congedo, M., Lecuyer, A., Lamarche, F., and Arnaldi, B. (2007). A review of classification algorithms for EEG-based brain-computer interfaces. J. Neural Eng. 4:R1. doi: 10.1088/1741-2560/4/2/R01
    • (2007) J. Neural Eng , vol.4 , pp. R1
    • Lotte, F.1    Congedo, M.2    Lecuyer, A.3    Lamarche, F.4    Arnaldi, B.5
  • 70
    • 62449226855 scopus 로고    scopus 로고
    • Decoding subjective preferences from single-trial near-infrared spectroscopy signals
    • Luu, S., and Chau, T. (2009). Decoding subjective preferences from single-trial near-infrared spectroscopy signals. J. Neural Eng. 6:016003. doi: 10.1088/1741-2560/6/1/016003
    • (2009) J. Neural Eng , vol.6 , pp. 016003
    • Luu, S.1    Chau, T.2
  • 71
    • 0026501378 scopus 로고
    • Intracerebral penetration of infrared light: Technical note
    • McCormick, P. W., Stewart, M., Lewis, G., Dujovny, M., and Ausman, J. I. (1992). Intracerebral penetration of infrared light: technical note. J. Neurosurg. 76, 315-318. doi: 10.3171/jns.1992.76.2.0315
    • (1992) J. Neurosurg , vol.76 , pp. 315-318
    • McCormick, P.W.1    Stewart, M.2    Lewis, G.3    Dujovny, M.4    Ausman, J.I.5
  • 73
    • 84876296829 scopus 로고    scopus 로고
    • Nearinfrared spectroscopy-mediated neurofeedback enhances efficacy of motor imagery-based training in poststroke victims a pilot study
    • Mihara, M., Hattori, N., Hatakenaka, M., Yagura, H., and Kawano, T. (2013). Nearinfrared spectroscopy-mediated neurofeedback enhances efficacy of motor imagery-based training in poststroke victims a pilot study. Stroke 44, 1091-1098. doi: 10.1161/STROKEAHA.111.674507
    • (2013) Stroke , vol.44 , pp. 1091-1098
    • Mihara, M.1    Hattori, N.2    Hatakenaka, M.3    Yagura, H.4    Kawano, T.5
  • 74
    • 84857700941 scopus 로고    scopus 로고
    • Neurofeedback using real-time near-infrared spectroscopy enhances motor imagery related cortical activation
    • Mihara, M., Miyai, I., Hattori, N., Hatakenaka, M., Yagura, H., Kawano, T., et al. (2012). Neurofeedback using real-time near-infrared spectroscopy enhances motor imagery related cortical activation. PLoS ONE 7:e32234. doi: 10.1371/journal.pone.0032234
    • (2012) Plos ONE , vol.7
    • Mihara, M.1    Miyai, I.2    Hattori, N.3    Hatakenaka, M.4    Yagura, H.5    Kawano, T.6
  • 75
    • 84866985421 scopus 로고    scopus 로고
    • A braincomputer interface for motor assist by the prefrontal cortex
    • Misawa, T., Takano, S., Shimokawa, T., and Hirobayashi, S. (2012). A braincomputer interface for motor assist by the prefrontal cortex. Electron. Comm. Jpn. 95, 1-8. doi: 10.1002/ecj.11426
    • (2012) Electron. Comm. Jpn , vol.95 , pp. 1-8
    • Misawa, T.1    Takano, S.2    Shimokawa, T.3    Hirobayashi, S.4
  • 76
    • 84859141900 scopus 로고    scopus 로고
    • Automatic detection of a prefrontal cortical response to emotionally rated music using multi-channel near-infrared spectroscopy
    • Moghimi, S., Kushki, A., Power, S., Guerguerian, A. M., and Chau, T. (2012). Automatic detection of a prefrontal cortical response to emotionally rated music using multi-channel near-infrared spectroscopy. J. Neural Eng. 9:026022. doi: 10.1088/1741-2560/9/2/026022
    • (2012) J. Neural Eng , vol.9 , pp. 026022
    • Moghimi, S.1    Kushki, A.2    Power, S.3    Guerguerian, A.M.4    Chau, T.5
  • 77
    • 77949910506 scopus 로고    scopus 로고
    • Development of a new rehabilitation system based on a braincomputer interface using near-infrared spectroscopy
    • eds E. Takashi and D. F. Bruley (New York, NY: Springer
    • Nagaoka, T., Sakatani, K., Awano, T., Yokose, N., Hoshino, T., Murata, Y., et al. (2010). “Development of a new rehabilitation system based on a braincomputer interface using near-infrared spectroscopy,” in Experimental Medicine and Biology, Oxygen Transport in Tissue XXXI, eds E. Takashi and D. F. Bruley (New York, NY: Springer), 497-503.
    • (2010) Experimental Medicine and Biology, Oxygen Transport in Tissue XXXI , pp. 497-503
    • Nagaoka, T.1    Sakatani, K.2    Awano, T.3    Yokose, N.4    Hoshino, T.5    Murata, Y.6
  • 78
    • 53949120466 scopus 로고    scopus 로고
    • A communication means for totally locked-in ALS patients based on changes in cerebral blood volume measured with near-infrared light
    • Naito, M., Michioka, Y., Ozawa, K., Ito, Y., Kiguchi, M., and Kanazawa, T. (2007). A communication means for totally locked-in ALS patients based on changes in cerebral blood volume measured with near-infrared light. IEICE T. Inf. Syst. E90D, 1028-1037. doi: 10.1093/ietisy/e90-d.7.1028
    • (2007) IEICE T. Inf. Syst. E90D , pp. 1028-1037
    • Naito, M.1    Michioka, Y.2    Ozawa, K.3    Ito, Y.4    Kiguchi, M.5    Kanazawa, T.6
  • 79
    • 84884379869 scopus 로고    scopus 로고
    • Classification of functional near-infrared spectroscopy signals corresponding to the rightand left-wrist motor imagery for development of a brain-computer interface
    • Naseer, N., and Hong, K.-S. (2013). Classification of functional near-infrared spectroscopy signals corresponding to the rightand left-wrist motor imagery for development of a brain-computer interface. Neurosci. Lett. 553, 84-49. doi: 10.1016/j.neulet.2013.08.021
    • (2013) Neurosci. Lett , vol.553 , pp. 84
    • Naseer, N.1    Hong, K.-S.2
  • 80
    • 84893858740 scopus 로고    scopus 로고
    • Online binary decision decoding using functional near-infrared spectroscopy for the development of braincomputer interface
    • Naseer, N., Hong, M. J., and Hong, K.-S. (2014). Online binary decision decoding using functional near-infrared spectroscopy for the development of braincomputer interface. Exp. Brain Res. 232, 555-564. doi: 10.1007/s00221-013-3764-1
    • (2014) Exp. Brain Res , vol.232 , pp. 555-564
    • Naseer, N.1    Hong, M.J.2    Hong, K.-S.3
  • 81
    • 84857573849 scopus 로고    scopus 로고
    • Brain computer interfaces, a review
    • Nicolas-Alonso, L. F., and Gomez-Gil, J. (2012). Brain computer interfaces, a review. Sensors 2, 1211-1279. doi: 10.3390/s120201211
    • (2012) Sensors , vol.2 , pp. 1211-1279
    • Nicolas-Alonso, L.F.1    Gomez-Gil, J.2
  • 82
    • 84947927573 scopus 로고    scopus 로고
    • Feature selection for classification using genetic algorithms with a novel encoding
    • ed W. Skarbek (Heidelberg: Springer-Verlag
    • Pernkopf, F., and O’Leary, P. (2001). “Feature selection for classification using genetic algorithms with a novel encoding,” in Computer Analysis of Images and Patterns, ed W. Skarbek (Heidelberg: Springer-Verlag), 161-168.
    • (2001) Computer Analysis of Images and Patterns , pp. 161-168
    • Pernkopf, F.1    O’Leary, P.2
  • 83
    • 33646572592 scopus 로고    scopus 로고
    • Event-related functional near-infrared spectroscopy (FNIRS): Are the measurements reliable?
    • Plichta, M., Herrmann, M., Baehne, C., Ehlis, A.-C., Richter, M., Pauli, P., et al. (2006). Event-related functional near-infrared spectroscopy (fNIRS): are the measurements reliable? Neuroimage 31, 116-124. doi: 10.1016/j.neuroimage.2005.12.008
    • (2006) Neuroimage , vol.31 , pp. 116-124
    • Plichta, M.1    Herrmann, M.2    Baehne, C.3    Ehlis, A.-C.4    Richter, M.5    Pauli, P.6
  • 84
    • 84871416350 scopus 로고    scopus 로고
    • Automatic single-trial classification of prefrontal hemodynamic activity in an individual with Duchenne muscular dystrophy. Dev
    • Power, S., and Chau, T. (2013). Automatic single-trial classification of prefrontal hemodynamic activity in an individual with Duchenne muscular dystrophy. Dev. Neurorehabil. 16, 67-72. doi: 10.3109/17518423.2012.718293
    • (2013) Neurorehabil , vol.16 , pp. 67-72
    • Power, S.1    Chau, T.2
  • 85
    • 77949975733 scopus 로고    scopus 로고
    • Classification of prefrontal activity due to mental arithmetic and music imagery using hidden Markov models and frequency domain near-infrared spectroscopy
    • Power, S. D., Falk, T. H., and Chau, T. (2010). Classification of prefrontal activity due to mental arithmetic and music imagery using hidden Markov models and frequency domain near-infrared spectroscopy. J. Neural Eng. 7:026002. doi: 10.1088/1741-2560/7/2/026002
    • (2010) J. Neural Eng , vol.7 , pp. 026002
    • Power, S.D.1    Falk, T.H.2    Chau, T.3
  • 86
    • 84857927670 scopus 로고    scopus 로고
    • Automatic single trial discrimination of mental arithmetic, mental singing and the no-control state from the prefrontal activity: Towards a three-state NIRS-BCI
    • Power, S. D., Khushki, A., and Chau, T. (2012a). Automatic single trial discrimination of mental arithmetic, mental singing and the no-control state from the prefrontal activity: towards a three-state NIRS-BCI. BMC Res. Notes 5:141. doi: 10.1186/1756-0500-5-141
    • (2012) BMC Res. Notes , vol.5 , pp. 141
    • Power, S.D.1    Khushki, A.2    Chau, T.3
  • 87
    • 81855169974 scopus 로고    scopus 로고
    • Towards a system-paced near-infrared spectroscopy brain-computer interface: Differentiating prefrontal activity due to mental arithmetic and mental singing from the no-control state
    • Power, S. D., Kushki, A., and Chau, T. (2011). Towards a system-paced near-infrared spectroscopy brain-computer interface: differentiating prefrontal activity due to mental arithmetic and mental singing from the no-control state. J. Neural Eng. 8:066004. doi: 10.1088/1741-2560/8/6/066004
    • (2011) J. Neural Eng , vol.8 , pp. 066004
    • Power, S.D.1    Kushki, A.2    Chau, T.3
  • 88
    • 84864187182 scopus 로고    scopus 로고
    • Intersession consistency of singletrial classification of the prefrontal response to mental arithmetic and the nocontrol state by NIRS
    • Power, S. D., Kushki, A., and Chau, T. (2012b). Intersession consistency of singletrial classification of the prefrontal response to mental arithmetic and the nocontrol state by NIRS. PLoS ONE 7:e37791. doi: 10.1371/journal.pone.0037791
    • (2012) Plos ONE , vol.7
    • Power, S.D.1    Kushki, A.2    Chau, T.3
  • 89
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Rabiner, L. R. (1989). A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 77, 257-286. doi: 10.1109/5.18626
    • (1989) Proc. IEEE , vol.77 , pp. 257-286
    • Rabiner, L.R.1
  • 90
    • 84903577263 scopus 로고    scopus 로고
    • Lower limb movement preparation in chronic stroke: A pilot study toward an fNIRS-BCI for gait rehabilitation. Neurorehabil
    • Rea, M., Rana, M., Lugato, N., Terekhin, P., Gizzi, L., Brotz, D., et al. (2014). Lower limb movement preparation in chronic stroke: a pilot study toward an fNIRS-BCI for gait rehabilitation. Neurorehabil. Neural Repair 28, 564-575. doi: 10.1177/1545968313520410
    • (2014) Neural Repair , vol.28 , pp. 564-575
    • Rea, M.1    Rana, M.2    Lugato, N.3    Terekhin, P.4    Gizzi, L.5    Brotz, D.6
  • 91
    • 25444439851 scopus 로고    scopus 로고
    • Direct characterization and removal of interfering absorption trends in two-layer turbid media
    • Saager, R. B., and Berger, A. J. (2005). Direct characterization and removal of interfering absorption trends in two-layer turbid media. J. Opt. Soc. Am. A Opt. Image Sci. Vis. 22, 1874-1882. doi: 10.1364/JOSAA.22.001874
    • (2005) J. Opt. Soc. Am. A Opt. Image Sci. Vis , vol.22 , pp. 1874-1882
    • Saager, R.B.1    Berger, A.J.2
  • 92
    • 79952704811 scopus 로고    scopus 로고
    • Two-detector corrected near infrared spectroscopy (C-NIRS) detects hemodynamic activation responses more robustly than single-detector NIRS
    • Saager, R. B., Telleri, N. L., and Berger, A. J. (2011). Two-detector corrected near infrared spectroscopy (C-NIRS) detects hemodynamic activation responses more robustly than single-detector NIRS. Neuroimage 55, 1679-1685. doi: 10.1016/j.neuroimage.2011.01.043
    • (2011) Neuroimage , vol.55 , pp. 1679-1685
    • Saager, R.B.1    Telleri, N.L.2    Berger, A.J.3
  • 93
    • 84857871588 scopus 로고    scopus 로고
    • Evaluation of a 2-channel NIRS-based optical brain switch for motor disabilities’ communication tools
    • Sagara, K., and Kido, K. (2012). Evaluation of a 2-channel NIRS-based optical brain switch for motor disabilities’ communication tools. IEICE T. Inf. Syst. E95D, 829-834. doi: 10.1587/transinf.E95.D.829
    • (2012) IEICE T. Inf. Syst. E95D , pp. 829-834
    • Sagara, K.1    Kido, K.2
  • 94
    • 84917729091 scopus 로고    scopus 로고
    • Lateralization of music processing with noises in the auditory cortex: An fNIRS study
    • Santosa, H., Hong, M. J., and Hong, K.-S. (2014). Lateralization of music processing with noises in the auditory cortex: an fNIRS study. Front. Behav. Neurosci. 8:418. doi: 10.3389/fnbeh.2014.00418
    • (2014) Front. Behav. Neurosci , vol.8 , pp. 418
    • Santosa, H.1    Hong, M.J.2    Hong, K.-S.3
  • 95
    • 84885658401 scopus 로고    scopus 로고
    • Noise reduction in functional near-infrared spectroscopy signals by independent component analysis
    • Santosa, H., Hong, M. J., Kim, S.-P., and Hong, K.-S. (2013). Noise reduction in functional near-infrared spectroscopy signals by independent component analysis. Rev. Sci. Instrum. 84:073106. doi: 10.1063/1.4812785
    • (2013) Rev. Sci. Instrum , vol.84 , pp. 073106
    • Santosa, H.1    Hong, M.J.2    Kim, S.-P.3    Hong, K.-S.4
  • 96
    • 84862206469 scopus 로고    scopus 로고
    • Selection of efficient features for discrimination of hand movements from MEG using a BCI competition IV data set. Front
    • Sardouie, S. H., and Shamsollahi, M. B. (2012). Selection of efficient features for discrimination of hand movements from MEG using a BCI competition IV data set. Front. Neurosci. 6:42. doi: 10.3389/fnins.2012.00042
    • (2012) Neurosci , vol.6 , pp. 42
    • Sardouie, S.H.1    Shamsollahi, M.B.2
  • 97
    • 33749261940 scopus 로고    scopus 로고
    • Wavelet analysis for detecting body-movement artifacts in optical topography signals
    • Sato, H., Tanaka, N., Uchida, M., Hirabayashi, Y., Kanai, M., Ashida, T., et al. (2006). Wavelet analysis for detecting body-movement artifacts in optical topography signals. Neuroimage 33, 580-587. doi: 10.1016/j.neuroimage.2006.06.028
    • (2006) Neuroimage , vol.33 , pp. 580-587
    • Sato, H.1    Tanaka, N.2    Uchida, M.3    Hirabayashi, Y.4    Kanai, M.5    Ashida, T.6
  • 98
    • 84880937931 scopus 로고    scopus 로고
    • A NIRS-fMRI investigation of prefrontal cortex activity during a working memory task
    • Sato, H., Yahata, N., Funane, T., Takizawa, R., Katura, T., Atsumori, H., et al. (2013). A NIRS-fMRI investigation of prefrontal cortex activity during a working memory task. Neuroimage 83C, 158-173. doi: 10.1016/j.neuroimage.2013.06.043
    • (2013) Neuroimage , pp. 158-173
    • Sato, H.1    Yahata, N.2    Funane, T.3    Takizawa, R.4    Katura, T.5    Atsumori, H.6
  • 99
    • 84892746540 scopus 로고    scopus 로고
    • Dynamic topographical pattern classification of multichannel prefrontal NIRS signals: II. Online differentiation of mental arithmetic and rest
    • Schudlo, L. C., and Chau, T. (2014). Dynamic topographical pattern classification of multichannel prefrontal NIRS signals: II. Online differentiation of mental arithmetic and rest. J. Neural Eng. 11:016003. doi: 10.1088/1741-2560/11/1/016003
    • (2014) J. Neural Eng , vol.16003 , pp. 11
    • Schudlo, L.C.1    Chau, T.2
  • 100
    • 84865251058 scopus 로고    scopus 로고
    • Partial least squares-discriminant analysis for the prediction of hemodynamic changes using near-infrared spectroscopy
    • Seo, Y., Lee, S., Koh, D., and Kim, B.-M. (2012). Partial least squares-discriminant analysis for the prediction of hemodynamic changes using near-infrared spectroscopy. J. Opt. Soc. Korea 16, 57-62. doi: 10.3807/JOSK.2012.16.1.057
    • (2012) J. Opt. Soc. Korea , vol.16 , pp. 57-62
    • Seo, Y.1    Lee, S.2    Koh, D.3    Kim, B.-M.4
  • 101
    • 84922203514 scopus 로고    scopus 로고
    • Multiclass classification of hemodynamic responses for performance improvement of functional near-infrared spectroscopy-based brain-computer interface
    • Shin, J., and Jeong, J. (2014). Multiclass classification of hemodynamic responses for performance improvement of functional near-infrared spectroscopy-based brain-computer interface. J. Biomed. Opt. 19:067009. doi: 10.1117/1.JBO.19.6.067009
    • (2014) J. Biomed. Opt , vol.19 , pp. 067009
    • Shin, J.1    Jeong, J.2
  • 102
    • 33846639587 scopus 로고    scopus 로고
    • Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface
    • Sitaram, R., Zhang, H. H., Guan, C. T., Thulasidas, M., Hoshi, Y., Ishikawa, A., et al. (2007). Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface. Neuroimage 34, 1416-1427. doi: 10.1016/j.neuroimage.2006.11.005
    • (2007) Neuroimage , vol.34 , pp. 1416-1427
    • Sitaram, R.1    Zhang, H.H.2    Guan, C.T.3    Thulasidas, M.4    Hoshi, Y.5    Ishikawa, A.6
  • 103
    • 84896960494 scopus 로고    scopus 로고
    • Learned EEG-based brain self-regulation of motor-related oscillations during application of transcranial electric brain stimulation: Feasibility and limitations
    • Soekadar, S. R., Witkowski, M., Cossio, E. G., Birbaumer, N., and Cohen, L. G. (2014). Learned EEG-based brain self-regulation of motor-related oscillations during application of transcranial electric brain stimulation: feasibility and limitations. Front. Behav. Neurosci. 8:93. doi: 10.3389/fnbeh.2014.00093
    • (2014) Front. Behav. Neurosci , vol.8 , pp. 93
    • Soekadar, S.R.1    Witkowski, M.2    Cossio, E.G.3    Birbaumer, N.4    Cohen, L.G.5
  • 104
    • 84880283611 scopus 로고    scopus 로고
    • A hemodynamic brain-computer interface based on real-time classification of near infrared spectroscopy signals during motor imagery and mental arithmetic
    • Stangl, M., Bauernfeind, G., Kurzmann, J., Scerer, R., and Neuper, C. (2013). A hemodynamic brain-computer interface based on real-time classification of near infrared spectroscopy signals during motor imagery and mental arithmetic. J. Near Infrared Spectrosc. 21, 157-171. doi: 10.1255/jnirs.1048
    • (2013) J. Near Infrared Spectrosc , vol.21 , pp. 157-171
    • Stangl, M.1    Bauernfeind, G.2    Kurzmann, J.3    Scerer, R.4    Neuper, C.5
  • 105
    • 77949878441 scopus 로고    scopus 로고
    • Functional optical topography analysis using statistical parametric mapping (SPM) methodology with and without physiological confounds
    • eds E. Takahashi and D. F. Bruley (Boston, MA, Springer
    • Tachtsidis, I., Koh, P. H., Stubbs, C., and Elwell, C. E. (2010). “Functional optical topography analysis using statistical parametric mapping (SPM) methodology with and without physiological confounds,” in Oxygen Transport to Tissue XXXI, eds E. Takahashi and D. F. Bruley (Boston, MA, Springer), 237-243
    • (2010) Oxygen Transport to Tissue XXXI , pp. 237-243
    • Tachtsidis, I.1    Koh, P.H.2    Stubbs, C.3    Elwell, C.E.4
  • 106
    • 72849142724 scopus 로고    scopus 로고
    • Single-trial classification of NIRS signals during emotional induction tasks: Towards a corporeal machine interface
    • Tai, K., and Chau, T. (2009). Single-trial classification of NIRS signals during emotional induction tasks: towards a corporeal machine interface. J. Neuroeng. Rehabil. 6:39. doi: 10.1186/1743-0003-6-39
    • (2009) J. Neuroeng. Rehabil , vol.6 , pp. 39
    • Tai, K.1    Chau, T.2
  • 107
    • 79959770650 scopus 로고    scopus 로고
    • Influence of skin blood flow on near-infrared spectroscopy signals measured on the forehead during a verbal fluency task
    • Takahashi, T., Takikawa, Y., Kawagoe, R., Shibuya, S., Iwano, T., and Kitazawa, S. (2011). Influence of skin blood flow on near-infrared spectroscopy signals measured on the forehead during a verbal fluency task. Neuroimage 57, 991-1002. doi: 10.1016/j.neuroimage.2011.05.012
    • (2011) Neuroimage , vol.57 , pp. 991-1002
    • Takahashi, T.1    Takikawa, Y.2    Kawagoe, R.3    Shibuya, S.4    Iwano, T.5    Kitazawa, S.6
  • 108
    • 80455176403 scopus 로고    scopus 로고
    • Classification of change detection and change blindness from near-infrared spectroscopy signals
    • Tanaka, H., and Katura, T. (2011). Classification of change detection and change blindness from near-infrared spectroscopy signals. J. Biomed. Opt. 16:087001. doi: 10.1117/1.3606494
    • (2011) J. Biomed. Opt , vol.16 , pp. 087001
    • Tanaka, H.1    Katura, T.2
  • 110
    • 84866022706 scopus 로고    scopus 로고
    • Classifying mental activities from EEG-P300 signals using adaptive neural network
    • Turnip, A., and Hong, K.-S. (2012). Classifying mental activities from EEG-P300 signals using adaptive neural network. Int. J. Innovat. Comput. Inform. Control 8, 6429-6443
    • (2012) Int. J. Innovat. Comput. Inform. Control , vol.8 , pp. 6429-6443
    • Turnip, A.1    Hong, K.-S.2
  • 111
    • 80053172402 scopus 로고    scopus 로고
    • Real-time feature extraction of EEG-based P300 using adaptive nonlinear principal component analysis
    • Turnip, A., Hong, K.-S., and Jeong, M.-Y. (2011). Real-time feature extraction of EEG-based P300 using adaptive nonlinear principal component analysis. Biomed. Eng. Online 10:83. doi: 10.1186/1475-925X-10-83
    • (2011) Biomed. Eng. Online , vol.10 , pp. 83
    • Turnip, A.1    Hong, K.-S.2    Jeong, M.-Y.3
  • 112
    • 67651034481 scopus 로고    scopus 로고
    • GO-STOP control using optical brain-computer interface during calculation task
    • Utsugi, K., Obata, A., Sato, H., Aoki, R., Maki, A., Koizumi, H., et al. (2008). GO-STOP control using optical brain-computer interface during calculation task. IEICE T. Commun. E91B, 2133-2141. doi: 10.1093/ietcom/e91-b.7.2133
    • (2008) IEICE T. Commun. E91B , pp. 2133-2141
    • Utsugi, K.1    Obata, A.2    Sato, H.3    Aoki, R.4    Maki, A.5    Koizumi, H.6
  • 113
    • 84904636788 scopus 로고    scopus 로고
    • Insula and inferior frontal triangularis activations distinguish between conditioned brain responses using emotional sounds for basic BCI communication
    • van der Heiden, L., Liberati, G., Sitaram, R., Kim, S., Jaœkowski, P., Raffone, A., et al. (2014). Insula and inferior frontal triangularis activations distinguish between conditioned brain responses using emotional sounds for basic BCI communication. Front. Behav. Neurosci. 8:247. doi: 10.3389/fnbeh.2014.00247
    • (2014) Front. Behav. Neurosci , vol.8 , pp. 247
    • Van Der Heiden, L.1    Liberati, G.2    Sitaram, R.3    Kim, S.4    Jaœkowski, P.5    Raffone, A.6
  • 114
    • 0030843420 scopus 로고    scopus 로고
    • Non-invasive optical spectroscopy and imaging of human brain function
    • Villringer, A., and Chance, B. (1997). Non-invasive optical spectroscopy and imaging of human brain function. Trends Neurosci. 20, 435-442. doi: 10.1016/S0166-2236(97)01132-6
    • (1997) Trends Neurosci , vol.20 , pp. 435-442
    • Villringer, A.1    Chance, B.2
  • 115
    • 0027180870 scopus 로고
    • Near infrared spectroscopy (NIRS): A new tool to study hemodynamic changes during activation of brain function in human adults
    • Villringer, A., Planck, J., Hock, C., Schleinkofer, L., and Dirnagl, U. (1993). Near infrared spectroscopy (NIRS): a new tool to study hemodynamic changes during activation of brain function in human adults. Neurosci. Lett. 154, 101-104. doi: 10.1016/0304-3940-9390181-J
    • (1993) Neurosci. Lett , vol.154 , pp. 101-104
    • Villringer, A.1    Planck, J.2    Hock, C.3    Schleinkofer, L.4    Dirnagl, U.5
  • 116
    • 84870870680 scopus 로고    scopus 로고
    • Multi-class motor imagery EEG decoding for brain-computer interfaces
    • Wang, D., Miao, D., and Blohm, G. (2012). Multi-class motor imagery EEG decoding for brain-computer interfaces. Front. Neurosci. 6:151. doi: 10.3389/fnins.2012.00151
    • (2012) Front. Neurosci , vol.6 , pp. 151
    • Wang, D.1    Miao, D.2    Blohm, G.3
  • 117
    • 84863000965 scopus 로고    scopus 로고
    • Real-time fMRI and its application to neurofeedback
    • Weiskopf, N. (2012). Real-time fMRI and its application to neurofeedback. Neuroimage 62, 682-692. doi: 10.1016/j.neuroimage.2011.10.009
    • (2012) Neuroimage , vol.62 , pp. 682-692
    • Weiskopf, N.1
  • 118
    • 2442688033 scopus 로고    scopus 로고
    • Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI)
    • Weiskopf, N., Mathiak, K., Bock, S. W., Scharnowski, F., Veit, R., Grodd, W., et al. (2004). Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI). IEEE Trans. Biomed. Eng. 51, 966-970. doi: 10.1109/TBME.2004.827063
    • (2004) IEEE Trans. Biomed. Eng , vol.51 , pp. 966-970
    • Weiskopf, N.1    Mathiak, K.2    Bock, S.W.3    Scharnowski, F.4    Veit, R.5    Grodd, W.6
  • 120
    • 84867218943 scopus 로고    scopus 로고
    • Vector-based phase classification of initial dips during word listening using near-infrared spectroscopy
    • Yoshino, K., and Kato, T. (2012). Vector-based phase classification of initial dips during word listening using near-infrared spectroscopy. Neuroreport 23, 947-951. doi: 10.1097/WNR.0b013e328359833b
    • (2012) Neuroreport , vol.23 , pp. 947-951
    • Yoshino, K.1    Kato, T.2
  • 121
    • 37549053215 scopus 로고    scopus 로고
    • Adaptive filtering to reduce global interference in evoked brain activity detection: A human subject case study
    • Zhang, Q., Brown, E. N., and Strangman, G. E. (2007). Adaptive filtering to reduce global interference in evoked brain activity detection: a human subject case study. J. Biomed. Opt. 12:064009. doi: 10.1117/1.2804706
    • (2007) J. Biomed. Opt , vol.64009 , pp. 12
    • Zhang, Q.1    Brown, E.N.2    Strangman, G.E.3
  • 122
    • 61449093647 scopus 로고    scopus 로고
    • Adaptive filtering to reduce global interference in non-invasive NIRS measures of brain activation: How well and when does it work?
    • Zhang, Q., Strangman, G. E., and Ganis, G. (2009). Adaptive filtering to reduce global interference in non-invasive NIRS measures of brain activation: how well and when does it work?. Neuroimage 45, 788-794. doi: 10.1016/j.neuroimage.2008.12.048
    • (2009) Neuroimage , vol.45 , pp. 788-794
    • Zhang, Q.1    Strangman, G.E.2    Ganis, G.3
  • 123
    • 18144431358 scopus 로고    scopus 로고
    • Eigenvector-based spatial filtering for reduction of physiological interference in diffuse optical imaging
    • Zhang, Y., Brooks, D., Franceschini, M., and Boas, D. (2005). Eigenvector-based spatial filtering for reduction of physiological interference in diffuse optical imaging. J. Biomed. Opt. 10:011014. doi: 10.1117/1.1852552
    • (2005) J. Biomed. Opt , vol.10 , pp. 011014
    • Zhang, Y.1    Brooks, D.2    Franceschini, M.3    Boas, D.4


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