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Items: 1 to 20 of 449

1.

Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information.

Morioka H, Kanemura A, Morimoto S, Yoshioka T, Oba S, Kawanabe M, Ishii S.

Neuroimage. 2014 Apr 15;90:128-39. doi: 10.1016/j.neuroimage.2013.12.035. Epub 2013 Dec 27.

PMID:
24374077
2.

Cortical current source estimation from electroencephalography in combination with near-infrared spectroscopy as a hierarchical prior.

Aihara T, Takeda Y, Takeda K, Yasuda W, Sato T, Otaka Y, Hanakawa T, Honda M, Liu M, Kawato M, Sato MA, Osu R.

Neuroimage. 2012 Feb 15;59(4):4006-21. doi: 10.1016/j.neuroimage.2011.09.087. Epub 2011 Oct 14.

PMID:
22036684
3.

Enhanced performance by a hybrid NIRS-EEG brain computer interface.

Fazli S, Mehnert J, Steinbrink J, Curio G, Villringer A, Müller KR, Blankertz B.

Neuroimage. 2012 Jan 2;59(1):519-29. doi: 10.1016/j.neuroimage.2011.07.084. Epub 2011 Aug 4.

4.

Using NIRS as a predictor for EEG-based BCI performance.

Fazli S, Mehnert J, Steinbrink J, Blankertz B.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:4911-4. doi: 10.1109/EMBC.2012.6347095.

PMID:
23367029
5.

Single-trial classification of near-infrared spectroscopy signals arising from multiple cortical regions.

Schudlo LC, Chau T.

Behav Brain Res. 2015 Sep 1;290:131-42. doi: 10.1016/j.bbr.2015.04.053. Epub 2015 May 8.

PMID:
25960315
6.

Multimodal analysis of a sustained attention protocol: continuous performance test assessed with near infrared spectroscopy and EEG.

Butti M, Pastori A, Merzagora A, Zucca C, Bianchi A, Reni G, Cerutti S.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:1040-3.

PMID:
17946440
7.

A hybrid NIRS-EEG system for self-paced brain computer interface with online motor imagery.

Koo B, Lee HG, Nam Y, Kang H, Koh CS, Shin HC, Choi S.

J Neurosci Methods. 2015 Apr 15;244:26-32. doi: 10.1016/j.jneumeth.2014.04.016. Epub 2014 May 2.

PMID:
24797225
8.

Learning a common dictionary for subject-transfer decoding with resting calibration.

Morioka H, Kanemura A, Hirayama J, Shikauchi M, Ogawa T, Ikeda S, Kawanabe M, Ishii S.

Neuroimage. 2015 May 1;111:167-78. doi: 10.1016/j.neuroimage.2015.02.015. Epub 2015 Feb 13.

PMID:
25682943
9.

Bimodal BCI using simultaneously NIRS and EEG.

Tomita Y, Vialatte FB, Dreyfus G, Mitsukura Y, Bakardjian H, Cichocki A.

IEEE Trans Biomed Eng. 2014 Apr;61(4):1274-84. doi: 10.1109/TBME.2014.2300492.

PMID:
24658251
10.

Cortical effects of user training in a motor imagery based brain-computer interface measured by fNIRS and EEG.

Kaiser V, Bauernfeind G, Kreilinger A, Kaufmann T, Kübler A, Neuper C, Müller-Putz GR.

Neuroimage. 2014 Jan 15;85 Pt 1:432-44. doi: 10.1016/j.neuroimage.2013.04.097. Epub 2013 May 4.

PMID:
23651839
11.

Detection of hemodynamic responses to epileptic activity using simultaneous Electro-EncephaloGraphy (EEG)/Near Infra Red Spectroscopy (NIRS) acquisitions.

Machado A, Lina JM, Tremblay J, Lassonde M, Nguyen DK, Lesage F, Grova C.

Neuroimage. 2011 May 1;56(1):114-25. doi: 10.1016/j.neuroimage.2010.12.026. Epub 2010 Dec 17.

PMID:
21168514
12.

Usefulness of simultaneous EEG-NIRS recording in language studies.

Wallois F, Mahmoudzadeh M, Patil A, Grebe R.

Brain Lang. 2012 May;121(2):110-23. doi: 10.1016/j.bandl.2011.03.010. Epub 2011 May 4. Review.

PMID:
21546072
13.

Reconstruction of two-dimensional movement trajectories from selected magnetoencephalography cortical currents by combined sparse Bayesian methods.

Toda A, Imamizu H, Kawato M, Sato MA.

Neuroimage. 2011 Jan 15;54(2):892-905. doi: 10.1016/j.neuroimage.2010.09.057. Epub 2010 Sep 25.

PMID:
20884361
14.

Reconstruction of flexor and extensor muscle activities from electroencephalography cortical currents.

Yoshimura N, Dasalla CS, Hanakawa T, Sato MA, Koike Y.

Neuroimage. 2012 Jan 16;59(2):1324-37. doi: 10.1016/j.neuroimage.2011.08.029. Epub 2011 Sep 16.

PMID:
21945691
15.

Towards a multimodal brain-computer interface: combining fNIRS and fTCD measurements to enable higher classification accuracy.

Faress A, Chau T.

Neuroimage. 2013 Aug 15;77:186-94. doi: 10.1016/j.neuroimage.2013.03.028. Epub 2013 Mar 26.

PMID:
23541802
16.

Evaluation of a Compact Hybrid Brain-Computer Interface System.

Shin J, Müller KR, Schmitz CH, Kim DW, Hwang HJ.

Biomed Res Int. 2017;2017:6820482. doi: 10.1155/2017/6820482. Epub 2017 Mar 8.

17.

Imagined Hand Clenching Force and Speed Modulate Brain Activity and Are Classified by NIRS Combined With EEG.

Fu Y, Xiong X, Jiang C, Xu B, Li Y, Li H.

IEEE Trans Neural Syst Rehabil Eng. 2017 Sep;25(9):1641-1652. doi: 10.1109/TNSRE.2016.2627809. Epub 2016 Nov 10.

PMID:
27849544
18.

Decoding vigilance with NIRS.

Bogler C, Mehnert J, Steinbrink J, Haynes JD.

PLoS One. 2014 Jul 17;9(7):e101729. doi: 10.1371/journal.pone.0101729. eCollection 2014. Erratum in: PLoS One. 2015;10(4):e0123494.

19.

A variational Bayes spatiotemporal model for electromagnetic brain mapping.

Nathoo FS, Babul A, Moiseev A, Virji-Babul N, Beg MF.

Biometrics. 2014 Mar;70(1):132-43. doi: 10.1111/biom.12126. Epub 2013 Dec 19.

PMID:
24354514
20.

Dynamic topographical pattern classification of multichannel prefrontal NIRS signals: II. Online differentiation of mental arithmetic and rest.

Schudlo LC, Chau T.

J Neural Eng. 2014 Feb;11(1):016003. doi: 10.1088/1741-2560/11/1/016003. Epub 2013 Dec 5.

PMID:
24311057

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