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However, the neural mechanisms that support this bias are unknown. In the present study, participants learned to orient themselves to a particular quadrant of a scene (a high\u2010value quadrant) to maximize monetary gains. This learning was scene\u2010specific, with the high\u2010value quadrant varying across different scenes. During a subsequent test phase, participants were faster at identifying a target if it appeared in the high\u2010value quadrant (valid), and initial saccades were more likely to be made to the high\u2010value quadrant. fMRI analyses during the test phase revealed learning\u2010dependent priority signals in the caudate tail, superior colliculus, frontal eye field, anterior cingulate cortex, and insula, paralleling findings concerning feature\u2010based, value\u2010driven attention. In addition, ventral regions typically associated with scene selection and spatial information processing, including the hippocampus, parahippocampal gyrus, and temporo\u2010occipital cortex, were also implicated. Taken together, our findings offer new insights into the neural architecture subserving value\u2010driven attention, both extending our understanding of nodes in the attention network previously implicated in feature\u2010based, value\u2010driven attention and identifying a ventral network of brain regions implicated in reward's influence on scene\u2010dependent spatial orienting.<\/jats:p>","DOI":"10.1111\/psyp.14321","type":"journal-article","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T11:05:49Z","timestamp":1683889549000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Neural correlates of value\u2010driven spatial orienting"],"prefix":"10.1111","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7418-9625","authenticated-orcid":false,"given":"Ming\u2010Ray","family":"Liao","sequence":"first","affiliation":[{"name":"Department of Psychological and Brain Sciences Texas A&amp;M 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