{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T10:09:42Z","timestamp":1790762982998,"version":"4.1.0"},"reference-count":46,"publisher":"Frontiers Media SA","funder":[{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["R01 NS075889"],"award-info":[{"award-number":["R01 NS075889"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurosci."],"DOI":"10.3389\/fnins.2017.00170","type":"journal-article","created":{"date-parts":[[2017,4,2]],"date-time":"2017-04-02T23:45:17Z","timestamp":1491176717000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":57,"title":["Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals"],"prefix":"10.3389","volume":"11","author":[{"given":"Yuhang","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saurabh","family":"Prasad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Atilla","family":"Kilicarslan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jose L.","family":"Contreras-Vidal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2017,4,3]]},"reference":[{"key":"B1","first-page":"1179","article-title":"Consistency of the group lasso and multiple kernel learning","volume":"9","author":"Bach","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"B2","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1038\/sj.sc.3102077","article-title":"Electroencephalographic slowing and reduced reactivity in neuropathic pain following spinal cord injury","volume":"46","author":"Boord","year":"2008","journal-title":"Spinal Cord"},{"key":"B3","doi-asserted-by":"publisher","first-page":"376","DOI":"10.3389\/fnins.2014.00376","article-title":"Sitting and standing intention can be decoded from scalp eeg recorded prior to movement execution","volume":"8","author":"Bulea","year":"2014","journal-title":"Front. Neurosci."},{"key":"B4","doi-asserted-by":"crossref","first-page":"1579","DOI":"10.1109\/EMBC.2013.6609816","article-title":"Neurorex: a clinical neural interface roadmap for EEG-based brain machine interfaces to a lower body robotic exoskeleton","volume-title":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","author":"Contreras-Vidal","year":"2013"},{"key":"B5","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1609\/aimag.v36i4.2613","article-title":"Human-centered design of wearable neuroprostheses and exoskeletons","volume":"36","author":"Contreras-Vidal","year":"2015","journal-title":"AI Magazine"},{"key":"B6","doi-asserted-by":"publisher","first-page":"2941","DOI":"10.1093\/brain\/awh648","article-title":"Brain motor system function after chronic, complete spinal cord injury","volume":"128","author":"Cramer","year":"2005","journal-title":"Brain"},{"key":"B7","doi-asserted-by":"publisher","first-page":"3","DOI":"10.3389\/neuro.07.003.2009","article-title":"Extracting kinematic parameters for monkey bipedal walking from cortical neuronal ensemble activity","volume":"3","author":"Fitzsimmons","year":"2009","journal-title":"Front. Integr. Neurosci."},{"key":"B8","article-title":"Towards the Implementation of Non-Invasive Brain Machine Interface Control on a Rehabilitative Robotic Upper Limb Exoskeleton","author":"French","year":"2014"},{"key":"B9","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1109\/TNSRE.2003.814441","article-title":"Comparison of linear, nonlinear, and feature selection methods for eeg signal classification","volume":"11","author":"Garrett","year":"2003","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"B10","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.biopsycho.2014.12.003","article-title":"Evolution of cerebral cortico-cortical communication during visuomotor adaptation to a cognitive-motor executive challenge","volume":"105","author":"Gentili","year":"2015","journal-title":"Biol. Psychol."},{"key":"B11","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.jneumeth.2014.04.020","article-title":"Algorithm to find high density EEG scalp coordinates and analysis of their correspondence to structural and functional regions of the brain","volume":"229","author":"Giacometti","year":"2014","journal-title":"J. Neurosci. Methods"},{"key":"B12","doi-asserted-by":"publisher","first-page":"1150","DOI":"10.1016\/j.neuroimage.2011.06.090","article-title":"Neural correlates of skill acquisition: decreased cortical activity during a serial interception sequence learning task","volume":"58","author":"Gobel","year":"2011","journal-title":"Neuroimage"},{"key":"B13","doi-asserted-by":"publisher","first-page":"2017","DOI":"10.1016\/j.clinph.2010.05.012","article-title":"Changes in movement-related \u03b2-band eeg signals in human spinal cord injury","volume":"121","author":"Gourab","year":"2010","journal-title":"Clin. Neurophysiol."},{"key":"B14","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1016\/j.neucom.2014.09.078","article-title":"Svm-based brain\u2013machine interface for controlling a robot arm through four mental tasks","volume":"151","author":"Hortal","year":"2015","journal-title":"Neurocomputing"},{"key":"B15","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.clinph.2014.05.003","article-title":"A brain\u2013computer interface for single-trial detection of gait initiation from movement related cortical potentials","volume":"126","author":"Jiang","year":"2015","journal-title":"Clin. Neurophysiol"},{"key":"B16","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1007\/978-3-642-34546-3_81","article-title":"Classification of stance and swing gait states during treadmill walking from non-invasive scalp electroencephalographic (EEG) signals","volume-title":"Converging Clinical and Engineering Research on Neurorehabilitation, Vol. 1, Biosystems & Biorobotics","author":"Jorquera","year":"2013"},{"key":"B17","doi-asserted-by":"crossref","first-page":"5606","DOI":"10.1109\/EMBC.2013.6610821","article-title":"High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton","volume-title":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","author":"Kilicarslan","year":"2013"},{"key":"B18","doi-asserted-by":"publisher","first-page":"1419","DOI":"10.1016\/j.clinph.2008.02.011","article-title":"Short-term learning of a visually guided power-grip task is associated with dynamic changes in eeg oscillatory activity","volume":"119","author":"Kranczioch","year":"2008","journal-title":"Clin. Neurophysiol."},{"key":"B19","doi-asserted-by":"publisher","first-page":"1003","DOI":"10.1109\/TBME.2004.827827","article-title":"Support vector channel selection in BCI","volume":"51","author":"Lal","year":"2004","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"B20","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1186\/1743-0003-11-9","article-title":"An exploration of EEG features during recovery following stroke\u2013implications for BCI-mediated neurorehabilitation therapy","volume":"11","author":"Leamy","year":"2014","journal-title":"J. Neuroeng. Rehabil."},{"key":"B21","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1109\/TCIAIG.2013.2242072","article-title":"Thinking penguin: multimodal brain\u2013computer interface control of a vr game","volume":"5","author":"Leeb","year":"2013","journal-title":"IEEE Trans. Comput. Intell. AI Games"},{"key":"B22","doi-asserted-by":"publisher","first-page":"222","DOI":"10.3389\/fnins.2014.00222","article-title":"Single trial prediction of self-paced reaching directions from EEG signals","volume":"8","author":"Lew","year":"2014","journal-title":"Front. Neurosci."},{"key":"B23","doi-asserted-by":"publisher","first-page":"12784","DOI":"10.3390\/s140712784","article-title":"Classification of eeg signals using a multiple kernel learning support vector machine","volume":"14","author":"Li","year":"2014","journal-title":"Sensors"},{"key":"B24","doi-asserted-by":"publisher","first-page":"R1","DOI":"10.1088\/1741-2560\/4\/2\/R01","article-title":"A review of classification algorithms for EEG-based brain\u2013computer interfaces","volume":"4","author":"Lotte","year":"2007","journal-title":"J. Neural Eng."},{"key":"B25","doi-asserted-by":"publisher","first-page":"036006","DOI":"10.1088\/1741-2560\/13\/3\/036006","article-title":"Gait adaptation to visual kinematic perturbations using a real-time closed-loop brain\u2013computer interface to a virtual reality avatar","volume":"13","author":"Luu","year":"2016","journal-title":"J. Neural Eng."},{"key":"B26","doi-asserted-by":"crossref","first-page":"2184","DOI":"10.1109\/EMBC.2013.6609968","article-title":"Real-time modeling and 3d visualization of source dynamics and connectivity using wearable EEG","volume-title":"Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE","author":"Mullen","year":"2013"},{"key":"B27","doi-asserted-by":"publisher","first-page":"708","DOI":"10.3389\/fnhum.2015.00708","article-title":"Negligible motion artifacts in scalp electroencephalography (EEG) during treadmill walking","volume":"9","author":"Nathan","year":"2015","journal-title":"Front. Hum. Neurosci."},{"key":"B28","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1007\/s11517-012-1018-1","article-title":"Detection of movement-related cortical potentials based on subject-independent training","volume":"51","author":"Niazi","year":"Jan. 2013","journal-title":"Med. Biol. Eng. Comput."},{"key":"B29","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1109\/HUMANOIDS.2012.6651494","article-title":"Brain-controlled exoskeleton robot for bmi rehabilitation","volume-title":"2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids)","author":"Noda","year":"2012"},{"key":"B30","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1109\/TNSRE.2012.2188304","article-title":"Decoding intra-limb and inter-limb kinematics during treadmill walking from scalp electroencephalographic (EEG) signals","volume":"20","author":"Presacco","year":"2012","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"B31","doi-asserted-by":"publisher","first-page":"1875","DOI":"10.1152\/jn.00104.2011","article-title":"Neural decoding of treadmill walking from noninvasive electroencephalographic signals","volume":"106","author":"Presacco","year":"2011","journal-title":"J. Neurophysiol."},{"key":"B32","author":"Rakotomamonjy","year":"2008","journal-title":"SimpleMKL Toolbox"},{"key":"B33","first-page":"2491","article-title":"SimpleMKL","volume":"9","author":"Rakotomamonjy","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"B34","first-page":"111","article-title":"Use of the robot assisted gait therapy in rehabilitation of patients with stroke and spinal cord injury","volume":"48","author":"Sale","year":"2012","journal-title":"Eur. J. Phys. Rehabil. Med."},{"key":"B35","doi-asserted-by":"crossref","first-page":"7048","DOI":"10.1109\/EMBC.2013.6611181","article-title":"Multiple kernel learning for brain-computer interfacing","volume-title":"Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE","author":"Samek","year":"2013"},{"key":"B36","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1093\/brain\/awh631","article-title":"Increased EEG power and slowed dominant frequency in patients with neurogenic pain","volume":"129","author":"Sarnthein","year":"2006","journal-title":"Brain"},{"key":"B37","first-page":"367","article-title":"On kernel target alignment","volume":"14","author":"Shawe-Taylor","year":"2002","journal-title":"Adv. Neural Inf. Proc. Syst."},{"key":"B38","first-page":"1531","article-title":"Large scale multiple kernel learning","volume":"7","author":"Sonnenburg","year":"2006","journal-title":"J. Mach. Learn. Res."},{"key":"B39","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.neucom.2011.12.036","article-title":"A multiple kernel framework for inductive semi-supervised SVM learning","volume":"90","author":"Tian","year":"2012","journal-title":"Neurocomputing"},{"key":"B40","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1038\/sj.sc.3101543","article-title":"Levels of brain wave activity (8\u201313 hz) in persons with spinal cord injury","volume":"42","author":"Tran","year":"2004","journal-title":"Spinal Cord"},{"key":"B41","volume-title":"Statistical Learning Theory","author":"Vapnik","year":"1998"},{"key":"B42","doi-asserted-by":"publisher","first-page":"84","DOI":"10.3389\/fnins.2013.00084","article-title":"Single-trial classification of gait and point movement preparation from human EEG","volume":"7","author":"Velu","year":"2013","journal-title":"Front. Neurosci."},{"key":"B43","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/s40141-014-0051-4","article-title":"Applications of brain\u2013machine interface systems in stroke recovery and rehabilitation","volume":"2","author":"Venkatakrishnan","year":"2014","journal-title":"Curr. Phys. Med. Rehabil. Rep."},{"key":"B44","doi-asserted-by":"publisher","first-page":"2446","DOI":"10.4161\/cc.29420","article-title":"Isolated spinal cord contusion in rats induces chronic brain neuroinflammation, neurodegeneration, and cognitive impairment: involvement of cell cycle activation","volume":"13","author":"Wu","year":"2014a","journal-title":"Cell Cycle"},{"key":"B45","doi-asserted-by":"publisher","first-page":"10989","DOI":"10.1523\/JNEUROSCI.5110-13.2014","article-title":"Spinal cord injury causes brain inflammation associated with cognitive and affective changes: role of cell cycle pathways","volume":"34","author":"Wu","year":"2014b","journal-title":"J. Neurosci."},{"key":"B46","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1109\/JSTARS.2014.2359136","article-title":"Ensemble multiple kernel active learning for classification of multisource remote sensing data","volume":"8","author":"Zhang","year":"2015","journal-title":"IEEE J. Selected Topics Appl. Earth Observ. Remote Sens"}],"container-title":["Frontiers in Neuroscience"],"original-title":[],"link":[{"URL":"http:\/\/journal.frontiersin.org\/article\/10.3389\/fnins.2017.00170\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,20]],"date-time":"2019-09-20T10:34:15Z","timestamp":1568975655000},"score":1,"resource":{"primary":{"URL":"http:\/\/journal.frontiersin.org\/article\/10.3389\/fnins.2017.00170\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,3]]},"references-count":46,"URL":"https:\/\/doi.org\/10.3389\/fnins.2017.00170","relation":{},"ISSN":["1662-453X"],"issn-type":[{"value":"1662-453X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,4,3]]}}}