{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T05:46:39Z","timestamp":1745300799127},"reference-count":14,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2017]]},"DOI":"10.1587\/transinf.2016edl8132","type":"journal-article","created":{"date-parts":[[2016,12,31]],"date-time":"2016-12-31T22:21:49Z","timestamp":1483222909000},"page":"242-245","source":"Crossref","is-referenced-by-count":3,"title":["Detecting Motor Learning-Related fNIRS Activity by Applying Removal of Systemic Interferences"],"prefix":"10.1587","volume":"E100.D","author":[{"given":"Isao","family":"NAMBU","sequence":"first","affiliation":[{"name":"Nagaoka University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takahiro","family":"IMAI","sequence":"additional","affiliation":[{"name":"Nagaoka University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shota","family":"SAITO","sequence":"additional","affiliation":[{"name":"Nagaoka University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takanori","family":"SATO","sequence":"additional","affiliation":[{"name":"Nagaoka University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yasuhiro","family":"WADA","sequence":"additional","affiliation":[{"name":"Nagaoka University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] D.R. Leff, F. Orihuela-Espina, C.E. Elwell, T. Athanasiou, D.T. Delpy, A.W. Darzi, and G.-Z. Yang, \u201cAssessment of the cerebral cortex during motor task behaviours in adults: A systematic review of functional near infrared spectroscopy (fNIRS) studies,\u201d Neuroimage, vol.54, no.4, pp.2922-2936, Feb. 2011.","DOI":"10.1016\/j.neuroimage.2010.10.058"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] F. Scholkmann, S. Kleiser, A.J. Metz, R. Zimmermann, J.M. Pavia, U. Wolf, and M. Wolf, \u201cA review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology,\u201d Neuroimage, vol.85, no.1, pp.6-27, Jan. 2014.","DOI":"10.1016\/j.neuroimage.2013.05.004"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] M. Hatakenaka, I. Miyai, M. Mihara, S. Sakoda, and K. Kubota, \u201cFrontal regions involved in learning of motor skill-A functional NIRS study,\u201d Neuroimage, vol.34, no.1, pp.109-116, Jan. 2007.","DOI":"10.1016\/j.neuroimage.2006.08.014"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] T. Ikegami and G. Taga, \u201cDecrease in cortical activation during learning of a multi-joint discrete motor task,\u201d Exp Brain Res, vol.191, no.2, pp.221-236, Nov. 2008.","DOI":"10.1007\/s00221-008-1518-2"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] K. Goto, Y. Hoshi, M. Sata, M. Kawahara, M. Takahashi, and H. Murohashi, \u201cRole of the prefrontal cortex in the cognitive control of reaching movements: near-infrared spectroscopy study,\u201d Journal of biomedical optics, vol.16, no.12, p.127003, Dec. 2011.","DOI":"10.1117\/1.3658757"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] R.J. Gentili, P.A. Shewokis, H. Ayaz, and J.L. Contreras-Vidal, \u201cFunctional near-infrared spectroscopy-based correlates of prefrontal cortical dynamics during a cognitive-motor executive adaptation task,\u201d Front Hum Neurosci, vol.7, p.277, 2013.","DOI":"10.3389\/fnhum.2013.00277"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] D.R.C. James, D.R. Leff, F. Orihuela-Espina, K.-W. Kwok, G.P. Mylonas, T. Athanasiou, A.W. Darzi, and G.-Z. Yang, \u201cEnhanced frontoparietal network architectures following \u201cgaze-contingent\u201d versus \u201cfree-hand\u201d motor learning,\u201d Neuroimage, vol.64, no.C, pp.267-276, Jan. 2013.","DOI":"10.1016\/j.neuroimage.2012.08.056"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] K. Ishikuro, S. Urakawa, K. Takamoto, A. Ishikawa, T. Ono, and H. Nishijo, \u201cCerebral functional imaging using near-infrared spectroscopy during repeated performances of motor rehabilitation tasks tested on healthy subjects,\u201d Front Hum Neurosci, vol.8, p.292, 2014.","DOI":"10.3389\/fnhum.2014.00292"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] T. Sato, I. Nambu, K. Takeda, T. Aihara, O. Yamashita, Y. Isogaya, Y. Inoue, Y. Otaka, Y. Wada, M. Kawato, M.A. Sato, and R. Osu, \u201cReduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes,\u201d Neuroimage, vol.141, no.1, pp.120-132, 2016.","DOI":"10.1016\/j.neuroimage.2016.06.054"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] H. Imamizu, S. Higuch, A. Toda, and M. Kawato, \u201cReorganization of brain activity for multiple internal models after short but intensive training,\u201d Cortex, vol.43, no.3, pp.338-349, April 2007.","DOI":"10.1016\/S0010-9452(08)70459-3"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] D.T. Delpy, M. Cope, P. van der Zee, S. Arridge, S. Wray, and J. Wyatt, \u201cEstimation of optical pathlength through tissue from direct time of flight measurement,\u201d Physics in medicine and biology, vol.33, no.12, pp.1433-1442, Dec. 1988.","DOI":"10.1088\/0031-9155\/33\/12\/008"},{"key":"12","unstructured":"[12] K.J. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, ed., Statistical Parametric Mapping: The Analysis of Functional Brain Images, Academic Press, 2006."},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] A.K. Singh, M. Okamoto, H. Dan, V. Jurcak, and I. Dan, \u201cSpatial registration of multichannel multi-subject fNIRS data to MNI space without MRI,\u201d Neuroimage, vol.27, no.4, pp.842-851, Oct. 2005.","DOI":"10.1016\/j.neuroimage.2005.05.019"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] A. Floyer-Lea and P.M. Matthews, \u201cDistinguishable brain activation networks for short- and long-term motor skill learning,\u201d J. Neurophysiol, vol.94, no.1, pp.512-518, July 2005.","DOI":"10.1152\/jn.00717.2004"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E100.D\/1\/E100.D_2016EDL8132\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,25]],"date-time":"2017-06-25T07:06:26Z","timestamp":1498374386000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E100.D\/1\/E100.D_2016EDL8132\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":14,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2016edl8132","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}