{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T17:20:21Z","timestamp":1790443221584,"version":"4.1.0"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030055868","type":"print"},{"value":"9783030055875","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-05587-5_16","type":"book-chapter","created":{"date-parts":[[2018,12,6]],"date-time":"2018-12-06T09:09:30Z","timestamp":1544087370000},"page":"163-172","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0543-0304","authenticated-orcid":false,"given":"Debadatta","family":"Dash","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul","family":"Ferrari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6083-431X","authenticated-orcid":false,"given":"Saleem","family":"Malik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Albert","family":"Montillo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6384-1072","authenticated-orcid":false,"given":"Joseph A.","family":"Maldjian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7265-217X","authenticated-orcid":false,"given":"Jun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,12,7]]},"reference":[{"issue":"1","key":"16_CR1","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.cognition.2002.06.001","volume":"92","author":"P Indefrey","year":"2004","unstructured":"Indefrey, P., Levelt, W.J.M.: The spatial and temporal signatures of word production components. Cognition 92(1), 101\u2013144 (2004)","journal-title":"Cognition"},{"key":"16_CR2","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.brainres.2006.11.074","volume":"1133","author":"JR Booth","year":"2007","unstructured":"Booth, J.R., Wood, L., Lu, D., Houk, J.C., Bitan, T.: The role of the basal ganglia and cerebellum in language processing. Brain Res. 1133, 136\u2013144 (2007)","journal-title":"Brain Res."},{"issue":"6","key":"16_CR3","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1016\/j.tins.2008.02.011","volume":"31","author":"H Ackermann","year":"2008","unstructured":"Ackermann, H.: Cerebellar contributions to speech production and speech perception psycholinguistic and neurobiological perspectives. Trends Neurosci. 31(6), 256\u2013272 (2008)","journal-title":"Trends Neurosci."},{"key":"16_CR4","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1016\/S0079-6123(05)50034-7","volume":"150","author":"S Laureys","year":"2005","unstructured":"Laureys, S.: The locked-in syndrome: what is it like to be conscious but paralyzed and voiceless? Progress Brain Res. 150, 495\u2013611 (2005). The Boundaries of Consciousness: Neurobiology and Neuropathology","journal-title":"Progress Brain Res."},{"key":"16_CR5","first-page":"295","volume-title":"Motor Speech Disorders Substrates, Differential Diagnosis, and Management","author":"J Duffy","year":"2012","unstructured":"Duffy, J.: Motor Speech Disorders Substrates, Differential Diagnosis, and Management, 3rd edn, p. 295. Elsevier, St. Louis (2012)","edition":"3"},{"key":"16_CR6","doi-asserted-by":"publisher","first-page":"429","DOI":"10.3389\/fnins.2016.00429","volume":"10","author":"C Herff","year":"2016","unstructured":"Herff, C., Schultz, T.: Automatic speech recognition from neural signals: a focused review. Front. Neurosci. 10, 429 (2016)","journal-title":"Front. Neurosci."},{"key":"16_CR7","first-page":"49","volume":"51","author":"JR Wolpaw","year":"2004","unstructured":"Wolpaw, J.R., Mcfarland, D.: Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. PNAS 51, 49\u201354 (2004)","journal-title":"PNAS"},{"key":"16_CR8","doi-asserted-by":"publisher","first-page":"175","DOI":"10.3389\/fnins.2016.00175","volume":"10","author":"N Yoshimura","year":"2016","unstructured":"Yoshimura, N., et al.: Decoding of covert vowel articulation using electroencephalography cortical currents. Front. Neurosci. 10, 175 (2016)","journal-title":"Front. Neurosci."},{"issue":"3","key":"16_CR9","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1016\/j.clinph.2005.11.002","volume":"117","author":"N Birbaumer","year":"2006","unstructured":"Birbaumer, N.: Brain computer-interface research: coming of age. Clin. Neurophysiol. 117(3), 479\u2013483 (2006)","journal-title":"Clin. Neurophysiol."},{"issue":"4","key":"16_CR10","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/j.specom.2010.01.001","volume":"52","author":"JS Brumberg","year":"2010","unstructured":"Brumberg, J.S., et al.: Brain computer interfaces for speech communication. Speech Commun. 52(4), 367\u2013379 (2010)","journal-title":"Speech Commun."},{"key":"16_CR11","series-title":"SpringerBriefs in Electrical and Computer Engineering","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/978-3-642-36083-1_10","volume-title":"Towards a Speech BCI Using ECoG","author":"EC Leuthardt","year":"2013","unstructured":"Leuthardt, E.C., Cunningham, J., Barbour, D.: Brain-computer interface research. In: Guger, C., Allison, B., Edlinger, G. (eds.) Towards a Speech BCI Using ECoG. SpringerBriefs in Electrical and Computer Engineering, pp. 93\u2013110. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-36083-1_10"},{"issue":"217","key":"16_CR12","first-page":"1","volume":"9","author":"C Herff","year":"2005","unstructured":"Herff, C., et al.: Brain-to-text: decoding spoken phrases from phone representations in the brain. Front. Neurosci. 9(217), 1\u201311 (2005)","journal-title":"Front. Neurosci."},{"key":"16_CR13","doi-asserted-by":"crossref","unstructured":"Dash, D., Abrol, B., Sao, A., Biswal, B.: The model order limit: deep sparse factorization for resting brain. In: IEEE 15th International Symposium on Biomedical Imaging (ISBI), pp. 1244\u20131247 (2018)","DOI":"10.1109\/ISBI.2018.8363796"},{"key":"16_CR14","doi-asserted-by":"crossref","unstructured":"Dash, D., Abrol, B., Sao, A., Biswal, B.: Spatial sparsification and low rank projection for fast analysis of multi-subject resting state fMRI data. In: IEEE 15th International Symposium on Biomedical Imaging (ISBI), pp. 1280\u20131283 (2018)","DOI":"10.1109\/ISBI.2018.8363805"},{"key":"16_CR15","doi-asserted-by":"publisher","first-page":"970","DOI":"10.1126\/science.1164318","volume":"322","author":"E Formisano","year":"2008","unstructured":"Formisano, E., De Martino, F., Bonte, M., Goebel, R.: Who is saying what? Brain-based decoding of human voice and speech. Science 322, 970\u2013973 (2008)","journal-title":"Science"},{"issue":"1","key":"16_CR16","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/0013-4694(83)90005-6","volume":"56","author":"D Cohen","year":"1983","unstructured":"Cohen, D., Cuffin, B.N.: Demonstration of useful differences between magnetoencephalogram and electroencephalogram. Electroencephalogr. Clin. Neurophysiol. 56(1), 38\u201351 (1983)","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"issue":"4","key":"16_CR17","doi-asserted-by":"publisher","first-page":"3028","DOI":"10.1016\/j.neuroimage.2010.10.073","volume":"54","author":"AM Chan","year":"2011","unstructured":"Chan, A.M., et al.: Decoding word and category-specific spatiotemporal representations from MEG and EEG. NeuroImage 54(4), 3028\u20133039 (2011)","journal-title":"NeuroImage"},{"key":"16_CR18","doi-asserted-by":"crossref","unstructured":"Wang, J., Kim, M., Hernandez-Mulero, A.H., Heitzman, D., Ferrari, P.: Towards decoding speech production from single-trial Magnetoencephalography (MEG) signals. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3036\u20133040 (2017)","DOI":"10.1109\/ICASSP.2017.7952714"},{"key":"16_CR19","doi-asserted-by":"crossref","unstructured":"Dash, D., Ferrari, P., Malik, S., Wang, J.: Overt speech retrieval from neuromagnetic signals using wavelets and artificial neural networks. In: IEEE Global Conference on Signal and Information Processing (GlobalSIP) (2018)","DOI":"10.1109\/GlobalSIP.2018.8646401"},{"issue":"100","key":"16_CR20","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/j.neuroimage.2012.10.001","volume":"65","author":"J Gross","year":"2013","unstructured":"Gross, J., Baillet, S., Barnes, G.R., Henson, R.N., Hillebrand, A., Jensen, O., Schoffelen, J.-M.: Good practice for conducting and reporting MEG research. Neuroimage 65(100), 349\u2013363 (2013)","journal-title":"Neuroimage"},{"key":"16_CR21","first-page":"133","volume":"30","author":"Y Attal","year":"2009","unstructured":"Attal, Y., et al.: Modelling and detecting deep brain activity with MEG and EEG. IRBM - Biomed. Eng. Res. 30, 133 (2009)","journal-title":"IRBM - Biomed. Eng. Res."},{"key":"16_CR22","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1097\/WNO.0b013e3181cde47b","volume":"28","author":"RC Burgess","year":"2011","unstructured":"Burgess, R.C., Funke, M.E., Bowyer, S.M., Lewine, J.F., Kirsch, H.E., Bagi, A.I.: American clinical magnetoencephalography society clinical practice guideline 2: presurgical functional brain mapping using magnetic evoked fields. J. Clin. Neurophysiol. 28, 355\u2013361 (2011)","journal-title":"J. Clin. Neurophysiol."},{"issue":"1","key":"16_CR23","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.tics.2005.11.006","volume":"10","author":"K Grill-Spector","year":"2006","unstructured":"Grill-Spector, K., Henson, R., Martin, A.: Repetition and the brain: neural models of stimulus-specific effects. Trends Cogn. Sci. 10(1), 14\u201323 (2006)","journal-title":"Trends Cogn. Sci."},{"key":"16_CR24","doi-asserted-by":"publisher","first-page":"575","DOI":"10.3389\/fnhum.2013.00575","volume":"7","author":"D Cheyne","year":"2013","unstructured":"Cheyne, D., Ferrari, P.: MEG studies of motor cortex gamma oscillations: evidence for a gamma fingerprint in the brain? Front. Hum. Neurosci. 7, 575 (2013)","journal-title":"Front. Hum. Neurosci."},{"key":"16_CR25","unstructured":"Dash. D., Kim, M., Ferrari, P., Wang, J.: Brain activation pattern analysis for speech production decoding from MEG signals. In: 25th Annual meeting of Biomedical Engineering Society (BMES) (2018)"},{"key":"16_CR26","first-page":"8:1","volume":"8","author":"F Tadel","year":"2011","unstructured":"Tadel, F., Baillet, S., Mosher, J.C., Pantazis, D., Leahy, R.M.: Brainstorm: a user-friendly Application for MEG\/EEG analysis. Comput. Intell. Neurosci. 8, 8:1\u20138:13 (2011)","journal-title":"Comput. Intell. Neurosci."}],"container-title":["Lecture Notes in Computer Science","Brain Informatics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-05587-5_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,6]],"date-time":"2019-11-06T17:17:12Z","timestamp":1573060632000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-05587-5_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030055868","9783030055875"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-05587-5_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"BI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Brain Informatics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Arlington, TX","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"brain2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/uta.engineering\/conferences\/bi-2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}