{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T16:03:21Z","timestamp":1780934601164,"version":"3.54.1"},"reference-count":50,"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":[[2026,4,22]],"date-time":"2026-04-22T00:00:00Z","timestamp":1776816000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100020884","name":"National Agency for Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100020884","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.2026.121950","type":"journal-article","created":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T15:49:36Z","timestamp":1776959376000},"page":"121950","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Mobile EEG as a valid alternative to high-resolution laboratory EEG measures"],"prefix":"10.1016","volume":"333","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4600-2610","authenticated-orcid":false,"given":"Felipe","family":"Rojas-Thomas","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fiorella","family":"Macchiavello","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vicente","family":"Soto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"\u00c1lvaro Rivera-Rei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Franco-OByrne","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9","family":"B\u00f3rquez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Consuelo","family":"Ruiz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ricardo","family":"Ram\u00edrez-Barrantes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Huepe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7747-590X","authenticated-orcid":false,"given":"Luis Sebastian","family":"Contreras-Huerta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.neuroimage.2026.121950_bib0001","first-page":"20","article-title":"Wearable EEG and beyond: towards real-world neuroscience","volume":"38","author":"Casson","year":"2019","journal-title":"IEEe Eng. Med. Biol. Mag."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0002","article-title":"Portable EEG for cognitive neuroscience","volume":"145","author":"Craik","year":"2023","journal-title":"Neurosci. Biobehav. Rev."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0003","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1007\/978-3-642-39454-6_69","article-title":"A practical mobile dry EEG system for human\u2013computer interfaces","author":"Chi","year":"2013","journal-title":"Lect. Notes Comput. Sci."},{"issue":"10","key":"10.1016\/j.neuroimage.2026.121950_bib0006","first-page":"1003","article-title":"Meta-analysis of ERP investigations of pain empathy underlines methodological issues in ERP research","volume":"13","author":"Coll","year":"2018","journal-title":"Soc. Cogn. Affect. Neurosci."},{"issue":"12","key":"10.1016\/j.neuroimage.2026.121950_bib0008","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0084001","article-title":"Racial bias in neural empathic responses to pain","volume":"8","author":"Contreras-Huerta","year":"2013","journal-title":"PLoS. One"},{"issue":"4","key":"10.1016\/j.neuroimage.2026.121950_bib0009","doi-asserted-by":"crossref","first-page":"1779","DOI":"10.3390\/app16041779","article-title":"Affective EEG decoding generalizes across colormap and exposure time","volume":"16","author":"De Cesarei","year":"2026","journal-title":"Appl. Sci."},{"issue":"2","key":"10.1016\/j.neuroimage.2026.121950_bib55","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1177\/1534582304267187","article-title":"The functional architecture of human empathy","volume":"3","author":"Decety","year":"2004","journal-title":"Behavi. Cogni. Neurosci. Rev."},{"issue":"6","key":"10.1016\/j.neuroimage.2026.121950_bib0010","doi-asserted-by":"crossref","first-page":"886","DOI":"10.1111\/j.1467-7687.2009.00940.x","article-title":"Neurodevelopmental changes in the circuits underlying empathy and sympathy from childhood to adulthood","volume":"13","author":"Decety","year":"2009","journal-title":"Dev. Sci."},{"issue":"1","key":"10.1016\/j.neuroimage.2026.121950_bib0011","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jneumeth.2003.10.009","article-title":"EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis","volume":"134","author":"Delorme","year":"2004","journal-title":"J. Neurosci. Methods"},{"key":"10.1016\/j.neuroimage.2026.121950_bib0012","doi-asserted-by":"crossref","first-page":"601","DOI":"10.3389\/fnins.2017.00601","article-title":"REST: a reference electrode standardization technique","volume":"11","author":"Dong","year":"2017","journal-title":"Front. Neurosci."},{"issue":"4","key":"10.1016\/j.neuroimage.2026.121950_bib0013","first-page":"1603","article-title":"Electrophysiological substrates of empathy","volume":"34","author":"Fan","year":"2007","journal-title":"Neuroimage"},{"issue":"1","key":"10.1016\/j.neuroimage.2026.121950_bib54","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.neuropsychologia.2007.07.023","article-title":"Temporal dynamic of neural mechanisms involved in empathy for pain: An event-related brain potential study","volume":"46","author":"Fan","year":"2008","journal-title":"Neuropsych."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0014","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2025.102946","article-title":"Seeing helps hearing: a multi-modal dataset and a mamba-based dual branch parallel network for auditory attention decoding","author":"Fan","year":"2025","journal-title":"Inf. Fusion."},{"issue":"1","key":"10.1016\/j.neuroimage.2026.121950_bib50","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.jneumeth.2007.03.024","article-title":"Nonparametric statistical testing of EEG- and MEG-data","volume":"164","author":"Eric Maris","year":"2007","journal-title":"J. Neurosci. Meth."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0015","first-page":"218","article-title":"From ERPs to MVPA using the Amsterdam Decoding and Modeling toolbox (ADAM)","volume":"293","author":"Fahrenfort","year":"2018","journal-title":"J. Neurosci. Methods"},{"key":"10.1016\/j.neuroimage.2026.121950_bib0016","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2025.107457","article-title":"A multi-domain constraint learning system inspired by adaptive cognitive graphs for emotion recognition","volume":"188","author":"Gao","year":"2025","journal-title":"Neural Netw."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0018","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1186\/1475-925X-9-45","article-title":"OpenMEEG: opensource software for quasistatic bioelectromagnetics","volume":"9","author":"Gramfort","year":"2010","journal-title":"Biomed. Eng. Online"},{"key":"10.1016\/j.neuroimage.2026.121950_bib0019","doi-asserted-by":"crossref","first-page":"267","DOI":"10.3389\/fnins.2013.00267","article-title":"MEG and EEG data analysis with MNE-Python","volume":"7","author":"Gramfort","year":"2013","journal-title":"Front. Neurosci."},{"issue":"12","key":"10.1016\/j.neuroimage.2026.121950_bib0020","doi-asserted-by":"crossref","first-page":"1711","DOI":"10.1111\/j.1469-8986.2011.01273.x","article-title":"Mass univariate analysis of event-related brain potentials\/fields I: a critical tutorial review","volume":"48","author":"Groppe","year":"2011","journal-title":"Psychophysiology."},{"issue":"4","key":"10.1016\/j.neuroimage.2026.121950_bib0021","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1162\/jocn_a_01068","article-title":"Decoding dynamic brain patterns from evoked responses: a tutorial on multivariate pattern analysis applied to time series neuroimaging data","volume":"29","author":"Grootswagers","year":"2017","journal-title":"J. Cogn. Neurosci."},{"issue":"2\u20133","key":"10.1016\/j.neuroimage.2026.121950_bib0022","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1017\/S0140525X0999152X","article-title":"The weirdest people in the world?","volume":"33","author":"Henrich","year":"2010","journal-title":"Behav. Brain Sci."},{"issue":"3","key":"10.1016\/j.neuroimage.2026.121950_bib0023","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1016\/j.neuroimage.2004.09.006","article-title":"How do we perceive the pain of others?","volume":"24","author":"Jackson","year":"2004","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2026.121950_bib0024","first-page":"1432","article-title":"Validation of wearable EEG for cognitive task assessment","volume":"22","author":"Kataoka","year":"2022","journal-title":"Sensors"},{"issue":"4","key":"10.1016\/j.neuroimage.2026.121950_bib0025","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.tics.2014.01.002","article-title":"Characterizing the dynamics of mental representations: the temporal generalization method","volume":"18","author":"King","year":"2014","journal-title":"Trends Cogn. Sci. (Regul. Ed.)"},{"key":"10.1016\/j.neuroimage.2026.121950_bib0026","article-title":"Mobile EEG for cognitive and affective neuroscience","volume":"287","author":"Klapprott","year":"2024","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2026.121950_bib0027","doi-asserted-by":"crossref","first-page":"109","DOI":"10.3389\/fnins.2017.00109","article-title":"Choosing MUSE: validation of a low-cost, portable EEG system for ERP research","volume":"11","author":"Krigolson","year":"2017","journal-title":"Front. Neurosci."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0028","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.ijpsycho.2016.06.015","article-title":"Sample size calculations in human electrophysiology studies","volume":"111","author":"Larson","year":"2016","journal-title":"Int. J. Psychophysiol."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0029","doi-asserted-by":"crossref","DOI":"10.1016\/j.dcn.2019.100635","article-title":"Mobile EEG in research on neurodevelopmental disorders","volume":"36","author":"Lau-Zhu","year":"2019","journal-title":"Dev. Cogn. Neurosci."},{"key":"10.1016\/j.neuroimage.2026.121950_bib51","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.1038\/s41597-024-03838-4","article-title":"EAV: EEG-Audio-Video Dataset for Emotion Recognition in Conversational Contexts","volume":"11","author":"Lee","year":"2024","journal-title":"Sci. Data"},{"key":"10.1016\/j.neuroimage.2026.121950_bib0030","article-title":"An adaptive decoupling learning system informed by the brain functional structure for EEG decoding","volume":"195","author":"Li","year":"2025","journal-title":"Neural Netw."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121658","article-title":"An EEG-based cross-subject interpretable CNN for game player expertise level classification","volume":"237","author":"Lin","year":"2024","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.128961","article-title":"EEG-based driver drowsiness detection based on simulated driving environment","volume":"616","author":"Lin","year":"2025","journal-title":"Neurocomputing."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0033","doi-asserted-by":"crossref","first-page":"213","DOI":"10.3389\/fnhum.2014.00213","article-title":"ERPLAB: an open-source toolbox for the analysis of event-related potentials","volume":"8","author":"Lopez-Calderon","year":"2014","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0034","series-title":"An Introduction to the Event-Related Potential Technique","author":"Luck","year":"2014"},{"key":"10.1016\/j.neuroimage.2026.121950_bib0035","series-title":"Randomization, Bootstrap and Monte Carlo Methods in Biology","author":"Manly","year":"2007"},{"issue":"1","key":"10.1016\/j.neuroimage.2026.121950_bib0036","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.jneumeth.2007.03.024","article-title":"Nonparametric statistical testing of EEG- and MEG-data","volume":"164","author":"Maris","year":"2007","journal-title":"J. Neurosci. Methods"},{"key":"10.1016\/j.neuroimage.2026.121950_bib0037","doi-asserted-by":"crossref","first-page":"784","DOI":"10.3758\/s13428-023-02087-4","article-title":"The empathy for pain stimuli system (EPSS)","volume":"56","author":"Meng","year":"2023","journal-title":"Behav. Res. Methods"},{"issue":"Suppl D","key":"10.1016\/j.neuroimage.2026.121950_bib0038","first-page":"5","article-title":"Standardized low-resolution brain electromagnetic tomography (sLORETA)","volume":"24","author":"Pascual-Marqui","year":"2002","journal-title":"Methods Find. Exp. Clin. Pharmacol."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0039","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.neuroimage.2019.05.026","article-title":"ICLabel: an automated EEG independent component classifier","volume":"198","author":"Pion-Tonachini","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2026.121950_bib0040","article-title":"Consumer-grade EEG measuring sensors as research tools","author":"Sawangjai","year":"2019","journal-title":"IEEe Sens. J."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0041","first-page":"1527","article-title":"Wearable EEG systems: toward everyday applications","volume":"22","author":"Sciaraffa","year":"2022","journal-title":"Sensors"},{"key":"10.1016\/j.neuroimage.2026.121950_bib0042","first-page":"660","article-title":"Wearable EEG for ecological neuroscience","volume":"185","author":"Svensson","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2026.121950_bib49","first-page":"879716","article-title":"Brainstorm: A user-friendly application for MEG\/EEG analysis","volume":"2011","author":"Tadel","year":"2011","journal-title":"Computat. Intelli. and Neurosci."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0043","article-title":"Investigating cognitive processes with mobile EEG: a systematic review","volume":"246","author":"Toppi","year":"2022","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2026.121950_bib0044","article-title":"The promise of mobile EEG for developmental science","volume":"47","author":"Troller-Renfree","year":"2021","journal-title":"Dev. Cogn. Neurosci."},{"key":"10.1016\/j.neuroimage.2026.121950_bib0045","first-page":"73","article-title":"Wearable EEG in cognitive and affective neuroscience: opportunities and challenges","volume":"185","author":"Valentin","year":"2018","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2026.121950_bib0046","article-title":"ERP indicators of situational empathy for pain","volume":"439","author":"Vecchio","year":"2022","journal-title":"Behav. Brain Res."},{"issue":"2","key":"10.1016\/j.neuroimage.2026.121950_bib53","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1111\/1469-8986.3720190","article-title":"The visual N1 component as an index of a discrimination process","volume":"37","author":"Vogel","year":"2000","journal-title":"Psychophy."},{"issue":"1","key":"10.1016\/j.neuroimage.2026.121950_bib0047","doi-asserted-by":"crossref","DOI":"10.1080\/09540091.2023.2289833","article-title":"Emotion recognition based on convolutional gated recurrent units with attention","volume":"35","author":"Ye","year":"2023","journal-title":"Conn. Sci."},{"issue":"3","key":"10.1016\/j.neuroimage.2026.121950_bib52","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1073\/pnas.95.3.781","article-title":"Event-related brain potentials in the study of visual selective attention","volume":"95","author":"Hillyard","year":"1998","journal-title":"Procee. Nation. Acad. Sci."}],"container-title":["NeuroImage"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S105381192600265X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S105381192600265X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T15:50:42Z","timestamp":1780933842000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S105381192600265X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":50,"alternative-id":["S105381192600265X"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroimage.2026.121950","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":"Mobile EEG as a valid alternative to high-resolution laboratory EEG measures","name":"articletitle","label":"Article Title"},{"value":"NeuroImage","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroimage.2026.121950","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":"121950"}}