{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T12:13:55Z","timestamp":1778588035116,"version":"3.51.4"},"reference-count":47,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T00:00:00Z","timestamp":1776211200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008662","name":"Koeki Zaidan Hojin Murata Gakujutsu Shinko Zaidan","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008662","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007428","name":"Naito Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007428","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP20H00600"],"award-info":[{"award-number":["JP20H00600"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP18KK0311"],"award-info":[{"award-number":["JP18KK0311"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["24KJ1127"],"award-info":[{"award-number":["24KJ1127"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP25H01138"],"award-info":[{"award-number":["JP25H01138"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002241","name":"Japan Science and Technology Agency","doi-asserted-by":"publisher","award":["JPMJMS2291"],"award-info":[{"award-number":["JPMJMS2291"]}],"id":[{"id":"10.13039\/501100002241","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.neuroimage.2026.121934","type":"journal-article","created":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T19:57:28Z","timestamp":1776283048000},"page":"121934","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Suppression of information spreading in MEG source estimation using a functionally-structured Bayesian approach"],"prefix":"10.1016","volume":"333","author":[{"given":"Kai","family":"Miyazaki","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shun","family":"Nirasawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naoki","family":"Ishibashi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuaki","family":"Akamatsu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Okito","family":"Yamashita","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoichi","family":"Miyawaki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.neuroimage.2026.121934_bib0001","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1007\/s10548-022-00891-3","article-title":"Optimizing EEG source reconstruction with concurrent fMRI-derived spatial priors","volume":"35","author":"Abreu","year":"2022","journal-title":"Brain Topogr."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0002","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/79.962275","article-title":"Electromagnetic brain mapping","volume":"18","author":"Baillet","year":"2001","journal-title":"IEEE Signal Process. Mag."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0003","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1093\/bioinformatics\/16.5.412","article-title":"Assessing the accuracy of prediction algorithms for classification: an overview","volume":"16","author":"Baldi","year":"2000","journal-title":"Bioinformatics"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0004","series-title":"Pattern Recognition and Machine Learning","author":"Bishop","year":"2006"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117411","article-title":"Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm","volume":"225","author":"Cai","year":"2021","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0006","doi-asserted-by":"crossref","first-page":"762","DOI":"10.1109\/TMI.2022.3218074","article-title":"Bayesian algorithms for joint estimation of brain activity and noise in electromagnetic imaging","volume":"42","author":"Cai","year":"2023","journal-title":"IEEE Trans. Med. Imag."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0007","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.jneumeth.2007.06.003","article-title":"Denoising based on time-shift PCA","volume":"165","author":"Cheveign\u00e9","year":"2007","journal-title":"J. Neurosci. Meth."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0008","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1186\/s12864-019-6413-7","article-title":"The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation","volume":"21","author":"Chicco","year":"2020","journal-title":"BMC Genom."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0009","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1023\/A:1022627411411","article-title":"Support-vector networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Mach. Learn."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0010","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1016\/S1053-8119(03)00049-1","article-title":"Functional magnetic resonance imaging (fMRI) \u201cbrain reading\u201d: detecting and classifying distributed patterns of fMRI activity in human visual cortex","volume":"19","author":"Cox","year":"2003","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0011","series-title":"Proceedings of the 23rd International Conference on Machine Learning - ICML \u201906. Presented at the the 23rd international conference","first-page":"233","article-title":"The relationship between precision-recall and ROC curves","author":"Davis","year":"2006"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0012","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neuroimage.2010.06.010","article-title":"Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature","volume":"53","author":"Destrieux","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0013","doi-asserted-by":"crossref","first-page":"297","DOI":"10.2307\/1932409","article-title":"Measures of the amount of ecologic association between species","volume":"26","author":"Dice","year":"1945","journal-title":"Ecology"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0014","series-title":"Advances in Neural Information Processing Systems","article-title":"Analysis of sparse bayesian learning","author":"Faul","year":"2001"},{"key":"10.1016\/j.neuroimage.2026.121934_bib46","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1016\/j.neuroimage.2004.02.022","article-title":"A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering","volume":"23","author":"Galka","year":"2004","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0015","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1038\/nature18933","article-title":"A multi-modal parcellation of human cerebral cortex","volume":"536","author":"Glasser","year":"2016","journal-title":"Nature"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0016","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/j.compbiolchem.2004.09.006","article-title":"Comparing two K-category assignments by a K-category correlation coefficient","volume":"28","author":"Gorodkin","year":"2004","journal-title":"Comput. Biol. Chem."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0017","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1007\/BF02512476","article-title":"Interpreting magnetic fields of the brain: minimum norm estimates","volume":"32","author":"H\u00e4m\u00e4l\u00e4inen","year":"1994","journal-title":"Med. Biol. Eng. Comput."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0018","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1148\/radiology.143.1.7063747","article-title":"The meaning and use of the area under a receiver operating characteristic (ROC) curve","volume":"143","author":"Hanley","year":"1982","journal-title":"Radiology"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0019","doi-asserted-by":"crossref","DOI":"10.1146\/annurev-bioeng-062117-120853","article-title":"Electrophysiological source imaging: a noninvasive window to brain dynamics","author":"He","year":"2018","journal-title":"Annu. Rev. Biomed. Eng."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0020","doi-asserted-by":"crossref","first-page":"6441","DOI":"10.1063\/1.367732","article-title":"Weighted minimum-norm source estimation of magnetoencephalography utilizing the temporal information of the measured data","volume":"83","author":"Iwaki","year":"1998","journal-title":"J. Appl. Phys."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2024.120802","article-title":"XDL-ESI: electrophysiological sources imaging via explainable deep learning framework with validation on simultaneous EEG and iEEG","volume":"299","author":"Jiao","year":"2024","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0022","article-title":"MEG source estimation using a grouped ARD prior for complex brain activity patterns","volume":"2022","author":"Koizumi","year":"2022","journal-title":"Organi. Human Brain Map."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0023","doi-asserted-by":"crossref","first-page":"3863","DOI":"10.1073\/pnas.0600244103","article-title":"Information-based functional brain mapping","volume":"103","author":"Kriegeskorte","year":"2006","journal-title":"Proc. Natl. Acad. Sci"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0024","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0176835","article-title":"Sparse EEG\/MEG source estimation via a group lasso","volume":"12","author":"Lim","year":"2017","journal-title":"PLOS ONE"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0025","doi-asserted-by":"crossref","first-page":"8945","DOI":"10.1073\/pnas.95.15.8945","article-title":"Spatiotemporal imaging of human brain activity using functional MRI constrained magnetoencephalography data: monte Carlo simulations","volume":"95","author":"Liu","year":"1998","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.neuroimage.2026.121934_bib47","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1016\/j.neuroimage.2016.06.027","article-title":"Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov Random Field and temporal basis expansion","volume":"139","author":"Liu","year":"2016","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0026","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1162\/neco.1992.4.3.415","article-title":"Bayesian interpolation","volume":"4","author":"MacKay","year":"1992","journal-title":"Neural. Comput."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0027","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1016\/0005-2795(75)90109-9","article-title":"Comparison of the predicted and observed secondary structure of T4 phage lysozyme","volume":"405","author":"Matthews","year":"1975","journal-title":"Biochim. Biophys. Acta BBA - Protein Struct."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0028","doi-asserted-by":"crossref","first-page":"753","DOI":"10.1016\/j.neuroimage.2005.10.037","article-title":"MEG source localization under multiple constraints: an extended bayesian framework","volume":"30","author":"Mattout","year":"2006","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0029","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1016\/j.neuron.2008.11.004","article-title":"Visual image reconstruction from Human brain activity using a combination of multiscale local image decoders","volume":"60","author":"Miyawaki","year":"2008","journal-title":"Neuron"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0030","doi-asserted-by":"crossref","DOI":"10.3390\/s21134278","article-title":"MEG source localization via deep learning","volume":"21","author":"Pantazis","year":"2021","journal-title":"Sensors"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0031","series-title":"The Cerebral Cortex of man; a Clinical Study of Localization of Function","article-title":"The cerebral cortex of man; a clinical study of localization of function","author":"Penfield","year":"1950"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0032","series-title":"Advances in Neural Information Processing Systems","article-title":"Analysis of empirical bayesian methods for neuroelectromagnetic source localization","author":"Ram\u00edrez","year":"2006"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0033","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0118432","article-title":"The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets","volume":"10","author":"Saito","year":"2015","journal-title":"PLOS ONE"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0034","doi-asserted-by":"crossref","first-page":"806","DOI":"10.1016\/j.neuroimage.2004.06.037","article-title":"Hierarchical Bayesian estimation for MEG inverse problem","volume":"23","author":"Sato","year":"2004","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0035","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0198806","article-title":"Information spreading by a combination of MEG source estimation and multivariate pattern classification","volume":"13","author":"Sato","year":"2018","journal-title":"PLOS ONE"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0036","article-title":"A method of establishing groups of equal amplitude in plant sociology based on similarity of species and its application to analyses of the vegetation on Danish commons","author":"S\u00f8rensen","year":"1948","journal-title":"Biol Skr."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0037","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the lasso","volume":"58","author":"Tibshirani","year":"1996","journal-title":"J. R. Stat. Soc. Ser. B Methodol."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0038","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1108\/eb026637","article-title":"A theoretical basis for the use of CO-occurrence data in information retrieval","volume":"33","author":"Van Rijsbergen","year":"1977","journal-title":"J. Doc."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0039","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1108\/eb026584","article-title":"Foundation of evaluation","volume":"30","author":"Van Rijsbergen","year":"1974","journal-title":"J. Doc."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0040","doi-asserted-by":"crossref","first-page":"867","DOI":"10.1109\/10.623056","article-title":"Localization of brain electrical activity via linearly constrained minimum variance spatial filtering","volume":"44","author":"Van Veen","year":"1997","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0041","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1016\/j.neuroimage.2009.06.083","article-title":"Robust bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG","volume":"49","author":"Wipf","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0042","doi-asserted-by":"crossref","first-page":"1125","DOI":"10.1152\/jn.00338.2011","article-title":"The organization of the human cerebral cortex estimated by intrinsic functional connectivity","volume":"106","author":"Yeo","year":"2011","journal-title":"J. Neurophysiol."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0043","doi-asserted-by":"crossref","first-page":"2293","DOI":"10.1093\/cercor\/bhl138","article-title":"Receptive fields in human visual cortex mapped with surface electrodes","volume":"17","author":"Yoshor","year":"2007","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.neuroimage.2026.121934_bib0044","doi-asserted-by":"crossref","first-page":"1068","DOI":"10.1109\/TNSRE.2015.2413943","article-title":"Grouped automatic relevance determination and its application in channel selection for P300 BCIs","volume":"23","author":"Yu","year":"2015","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"10.1016\/j.neuroimage.2026.121934_bib0045","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1111\/j.1467-9868.2005.00532.x","article-title":"Model selection and estimation in regression with grouped variables","volume":"68","author":"Yuan","year":"2006","journal-title":"J. R. Stat. Soc. Ser. B Stat. Methodol."}],"container-title":["NeuroImage"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811926002491?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811926002491?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T11:40:43Z","timestamp":1778586043000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811926002491"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":47,"alternative-id":["S1053811926002491"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroimage.2026.121934","relation":{},"ISSN":["1053-8119"],"issn-type":[{"value":"1053-8119","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Suppression of information spreading in MEG source estimation using a functionally-structured Bayesian approach","name":"articletitle","label":"Article Title"},{"value":"NeuroImage","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroimage.2026.121934","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"121934"}}