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In an effort to proactively assess mood, we collected continuous neurophysiologic data for ambulatory individuals 8\u201310\u2005h a day at 1\u2005Hz for 3 weeks (<jats:italic>N<\/jats:italic>\u2009=\u200924). Data were obtained using a commercial neuroscience platform (Immersion Neuroscience) that quantifies the neural value of social-emotional experiences. These data were related to self-reported mood and energy to assess their predictive accuracy. Statistical analyses quantified neurophysiologic troughs by the length and depth of social-emotional events with low values and neurophysiologic peaks as the complement. Participants in the study had an average of 2.25 (SD\u2009=\u20093.70, Min\u2009=\u20090, Max\u2009=\u200925) neurophysiologic troughs per day and 3.28 (SD\u2009=\u20093.97, Min\u2009=\u20090, Max\u2009=\u200925) peaks. The number of troughs and peaks predicted daily mood with 90% accuracy using least squares regressions and machine learning models. The analysis also showed that women were more prone to low mood compared to men. Our approach demonstrates that a simple count variable derived from a commercially-available platform is a viable way to assess low mood and low energy in populations vulnerable to mood disorders. In addition, peak Immersion events, which are mood-enhancing, may be an effective measure of thriving in adults.<\/jats:p>","DOI":"10.3389\/fdgth.2024.1397557","type":"journal-article","created":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T05:11:41Z","timestamp":1722575501000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Continuous remote monitoring of neurophysiologic Immersion accurately predicts mood"],"prefix":"10.3389","volume":"6","author":[{"given":"Sean H.","family":"Merritt","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul J.","family":"Zak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2024,8,2]]},"reference":[{"key":"B1","article-title":"Depression: A Global Public Health Concern. 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