{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T06:12:27Z","timestamp":1778825547725,"version":"3.51.4"},"reference-count":71,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T00:00:00Z","timestamp":1778803200000},"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."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Food and alcohol cues are potent motivational stimuli that engage neural systems supporting reward and approach\u2013avoidance behavior. While EEG studies have largely emphasized event-related potentials, less is known about how sustained oscillatory dynamics differentiate appetitive cues with distinct biological and learned significance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>EEG activity was recorded in healthy adults during passive viewing of food-related, alcohol-related, and matched neutral images using a paradigm optimized for prolonged exposure. Spectral power was analyzed across canonical frequency bands with cluster-based permutation statistics. Individual differences in alcohol use were assessed using the Alcohol Use Disorders Identification Test (AUDIT). Additional psychometric assessments included measures of depression (BDI-II), trait anxiety (STAI-Trait), eating behavior (DEBQ), and nicotine dependence (Fagerstr\u00f6m).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Food and alcohol cues elicited dissociable oscillatory responses. Food images were associated with increased delta-band power over posterior and central regions, whereas alcohol images induced decreased delta power and increased alpha-band activity over parieto-occipital areas. These effects were most pronounced in individuals with higher AUDIT scores, while lower-AUDIT scorers showed no consistent oscillatory modulation. Psychometric scores indicated non-clinical levels of depression and anxiety across participants.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The findings indicate that food and alcohol cues engage partially distinct oscillatory dynamics during passive viewing. EEG spectral measures capture sustained, state-dependent aspects of motivational processing, highlighting differences between biologically grounded and learned reward cues.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fnhum.2026.1748993","type":"journal-article","created":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T05:43:45Z","timestamp":1778823825000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Brain signature of food and alcohol stimuli processing: a comparative EEG study"],"prefix":"10.3389","volume":"20","author":[{"given":"S\u00fcmeyye","family":"Kizilisik","sequence":"first","affiliation":[{"name":"UR-UPJV 4559, Functional Neurosciences Laboratory, Health Research Universitary Center, Medecine UFR, Picardy Jules Verne University","place":["Amiens, France"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Duygu","family":"Duman","sequence":"additional","affiliation":[{"name":"UR-UPJV 4559, Functional Neurosciences Laboratory, Health Research Universitary Center, Medecine UFR, Picardy Jules Verne University","place":["Amiens, France"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amel","family":"Zitouni","sequence":"additional","affiliation":[{"name":"UR-UPJV 4559, Functional Neurosciences Laboratory, Health Research Universitary Center, Medecine UFR, Picardy Jules Verne University","place":["Amiens, France"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Salvatore","family":"Campanella","sequence":"additional","affiliation":[{"name":"Laboratoire de Psychologie Medicale et d\u2019Addictologie, ULB Neuroscience Institute (UNI), CHU Brugmann-Universite Libre de Bruxelles (U.L.B.)","place":["Bruxelles, Belgium"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ardalan","family":"Aarabi","sequence":"additional","affiliation":[{"name":"UR-UPJV 4559, Functional Neurosciences Laboratory, Health Research Universitary Center, Medecine UFR, Picardy Jules Verne University","place":["Amiens, France"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mbarka","family":"Akounach","sequence":"additional","affiliation":[{"name":"UR-UPJV 4559, Functional Neurosciences Laboratory, Health Research Universitary Center, Medecine UFR, Picardy Jules Verne University","place":["Amiens, France"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harold","family":"Mouras","sequence":"additional","affiliation":[{"name":"UR-UPJV 4559, Functional Neurosciences Laboratory, Health Research Universitary Center, Medecine UFR, Picardy Jules Verne University","place":["Amiens, France"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2026,5,15]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"869","DOI":"10.3390\/brainsci12070869","article-title":"Postural correlates of pollution perception","volume":"12","author":"Akounach","year":"2022","journal-title":"Brain Sci."},{"key":"ref2","doi-asserted-by":"publisher","first-page":"1555","DOI":"10.1109\/TBME.2014.2311996","article-title":"A review of multitaper spectral analysis","volume":"61","author":"Babadi","year":"2014","journal-title":"IEEE Trans. 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