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However, it is not well understood how the two forms of uncertainty signal differ in value-based decision-making. This ERP study aimed to disentangle them by examining how their neural reward dynamics are influenced by individual attitudes and their derived subjective value (SV). Thirty-six participants performed a wheel-of-fortune task while EEG activity was recorded, followed by a lottery task where their attitudes toward risk and ambiguity were assessed. These attitudes were then used to calculate the trial-level SV for gambling wheels in the wheel-of-fortune task. Results showed that risk was associated with a greater cue-P3, whereas ambiguity was linked to a greater cue-N2 and stronger valence effects on both the reward positivity and feedback-P3. Importantly, SV was represented by all ERP components under risk but not under ambiguity. Finally, less risk-averse attitudes were associated with reduced valence and probability effects on the feedback-P3, whereas less ambiguity-averse attitudes were linked to greater ambiguity-level effect on the cue-P3. Our findings reveal a dissociable relationship between risk and ambiguity, supporting the crucial role of individual attitudes and SV in disentangling them in uncertainty neural signals.<\/jats:p>","DOI":"10.1162\/jocn.a.2610","type":"journal-article","created":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T21:08:03Z","timestamp":1776892083000},"page":"1787-1799","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":0,"title":["Disentangling Uncertainty Signals in Neural Reward Dynamics"],"prefix":"10.1162","volume":"38","author":[{"given":"Jianbiao","family":"Zhao","sequence":"first","affiliation":[{"name":"Guangzhou University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leyou","family":"Deng","sequence":"additional","affiliation":[{"name":"Shanghai International Studies 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