{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T01:05:53Z","timestamp":1791594353898,"version":"4.3.4"},"reference-count":11,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T00:00:00Z","timestamp":1750636800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Hum. Neurosci."],"DOI":"10.3389\/fnhum.2025.1638225","type":"journal-article","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T01:21:22Z","timestamp":1750641682000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Editorial: Machine-learning\/deep-learning methods in neuromarketing and consumer neuroscience"],"prefix":"10.3389","volume":"19","author":[{"given":"Marco","family":"Bilucaglia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luca","family":"Mainardi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas Zo\u00ebga","family":"Rams\u00f8y","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul J.","family":"Zak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Margherita","family":"Zito","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vincenzo","family":"Russo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,6,23]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1186\/s40708-022-00175-3","article-title":"A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research","volume":"9","author":"Byrne","year":"2022","journal-title":"Brain Inform"},{"key":"B2","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1186\/s40708-024-00229-8","article-title":"A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques","volume":"11","author":"Khondakar","year":"2024","journal-title":"Brain Inform"},{"key":"B3","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1038\/s41586-024-07146-0","article-title":"Artificial intelligence and illusions of understanding in scientific research","volume":"627","author":"Messeri","year":"2024","journal-title":"Nature"},{"key":"B4","doi-asserted-by":"publisher","first-page":"e12427","DOI":"10.1111\/phc3.12427","article-title":"The future of cognitive neuroscience? Reverse inference in focus","volume":"12","author":"Nathan","year":"2017","journal-title":"Philos. Compass"},{"key":"B5","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1509\/jmr.14.0048","article-title":"Consumer neuroscience: applications, challenges, and possible solutions","volume":"52","author":"Plassmann","year":"2015","journal-title":"J. Market. Res"},{"key":"B6","doi-asserted-by":"publisher","first-page":"281","DOI":"10.2501\/JAR-2019-034","article-title":"Building a foundation for neuromarketing and consumer neuroscience research","volume":"59","author":"Rams\u00f8y","year":"2019","journal-title":"J. Advert. Res"},{"key":"B7","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1186\/s40708-020-00109-x","article-title":"Technological advancements and opportunities in neuromarketing: a systematic review","volume":"7","author":"Rawnaque","year":"2020","journal-title":"Brain Inform"},{"key":"B8","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1177\/1745691619856350","article-title":"Real-life neuroscience: an ecological approach to brain and behavior research","volume":"14","author":"Shamay-Tsoory","year":"2019","journal-title":"Perspect. Psychol. Sci"},{"key":"B9","doi-asserted-by":"publisher","first-page":"40331","DOI":"10.1109\/ACCESS.2025.3545742","article-title":"The neuromarketing: bridging neuroscience and marketing for enhanced consumer engagement","volume":"13","author":"Song","year":"2025","journal-title":"IEEE Access"},{"key":"B10","doi-asserted-by":"publisher","first-page":"102835","DOI":"10.1016\/j.conb.2023.102835","article-title":"Editorial overview: computational neuroscience as a bridge between artificial intelligence, modeling and data","volume":"84","author":"Verzelli","year":"2024","journal-title":"Curr. Opin. Neurobiol"},{"key":"B11","doi-asserted-by":"publisher","first-page":"2142","DOI":"10.1002\/cb.2324","article-title":"Using neural data to forecast aggregate consumer behavior in neuromarketing: theory, metrics, progress, and outlook","volume":"23","author":"Yao","year":"2024","journal-title":"J. Consum. Behav"}],"container-title":["Frontiers in Human Neuroscience"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fnhum.2025.1638225\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T01:21:23Z","timestamp":1750641683000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fnhum.2025.1638225\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,23]]},"references-count":11,"alternative-id":["10.3389\/fnhum.2025.1638225"],"URL":"https:\/\/doi.org\/10.3389\/fnhum.2025.1638225","relation":{},"ISSN":["1662-5161"],"issn-type":[{"value":"1662-5161","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,23]]},"article-number":"1638225"}}