Ying-Chun Chen, Yun-Hsin Huang, Pai-He Hsiao, Nai-Shing Yen
{"title":"内感受性如何调节决策:一项关于神经预测手机游戏用户粘性的fMRI研究","authors":"Ying-Chun Chen, Yun-Hsin Huang, Pai-He Hsiao, Nai-Shing Yen","doi":"10.3758/s13415-024-01238-0","DOIUrl":null,"url":null,"abstract":"<p><p>Neuroscientists in decision science have advanced an affect-integration-motivation (AIM) framework, demonstrating that neural activity associated with positive affect or value integration can predict individual and aggregate choice. Given that individuals with higher interoceptive sensibility (IS) have tendency to engage their bodily sensations and thus exhibit a more coherent pattern between their neural, affective, and behavioral measures, we investigated how IS may interact with the affective/integrative components for predicting individual and aggregate choice. Thus, we 1) explored neural underpinnings of individual choice, affective ratings, aggregate outcomes, 2) examined how the above-mentioned measures predict individual and aggregate choices on mobile games, and 3) tested the moderation effect of IS by comparing the differences in how these measures perform in prediction models between subgroups of IS. Neuroimaging results showed that individual choice associated with NAcc activity, aggregate download rate tracked by regions in salience network, and revenue additionally tracked by regions in motor tendency and attention regulation. Affective ratings and AIns activity predicted individual download choice; mPFC activity forecasted aggregate download rate, and positive arousal forecasted aggregate revenue. As hypothesized, the high IS group displayed coherent correlations between affective ratings, individual choice, and neural measures. More importantly, at the aggregate level, mPFC activity (integrative component), forecasted aggregate download rate above and beyond ratings and individual choice in the high IS group, with this prediction significantly stronger compared with the low IS group. These findings extend the AIM framework by shedding light on the influence of interoceptive sensibility on the neurobehavioral mechanisms underlying human decision-making.</p>","PeriodicalId":50672,"journal":{"name":"Cognitive Affective & Behavioral Neuroscience","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How interoceptive sensibility moderates decision-making: an fMRI study of neuroforecasting mobile games engagement.\",\"authors\":\"Ying-Chun Chen, Yun-Hsin Huang, Pai-He Hsiao, Nai-Shing Yen\",\"doi\":\"10.3758/s13415-024-01238-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Neuroscientists in decision science have advanced an affect-integration-motivation (AIM) framework, demonstrating that neural activity associated with positive affect or value integration can predict individual and aggregate choice. Given that individuals with higher interoceptive sensibility (IS) have tendency to engage their bodily sensations and thus exhibit a more coherent pattern between their neural, affective, and behavioral measures, we investigated how IS may interact with the affective/integrative components for predicting individual and aggregate choice. Thus, we 1) explored neural underpinnings of individual choice, affective ratings, aggregate outcomes, 2) examined how the above-mentioned measures predict individual and aggregate choices on mobile games, and 3) tested the moderation effect of IS by comparing the differences in how these measures perform in prediction models between subgroups of IS. Neuroimaging results showed that individual choice associated with NAcc activity, aggregate download rate tracked by regions in salience network, and revenue additionally tracked by regions in motor tendency and attention regulation. Affective ratings and AIns activity predicted individual download choice; mPFC activity forecasted aggregate download rate, and positive arousal forecasted aggregate revenue. As hypothesized, the high IS group displayed coherent correlations between affective ratings, individual choice, and neural measures. More importantly, at the aggregate level, mPFC activity (integrative component), forecasted aggregate download rate above and beyond ratings and individual choice in the high IS group, with this prediction significantly stronger compared with the low IS group. These findings extend the AIM framework by shedding light on the influence of interoceptive sensibility on the neurobehavioral mechanisms underlying human decision-making.</p>\",\"PeriodicalId\":50672,\"journal\":{\"name\":\"Cognitive Affective & Behavioral Neuroscience\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cognitive Affective & Behavioral Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3758/s13415-024-01238-0\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BEHAVIORAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Affective & Behavioral Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3758/s13415-024-01238-0","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
How interoceptive sensibility moderates decision-making: an fMRI study of neuroforecasting mobile games engagement.
Neuroscientists in decision science have advanced an affect-integration-motivation (AIM) framework, demonstrating that neural activity associated with positive affect or value integration can predict individual and aggregate choice. Given that individuals with higher interoceptive sensibility (IS) have tendency to engage their bodily sensations and thus exhibit a more coherent pattern between their neural, affective, and behavioral measures, we investigated how IS may interact with the affective/integrative components for predicting individual and aggregate choice. Thus, we 1) explored neural underpinnings of individual choice, affective ratings, aggregate outcomes, 2) examined how the above-mentioned measures predict individual and aggregate choices on mobile games, and 3) tested the moderation effect of IS by comparing the differences in how these measures perform in prediction models between subgroups of IS. Neuroimaging results showed that individual choice associated with NAcc activity, aggregate download rate tracked by regions in salience network, and revenue additionally tracked by regions in motor tendency and attention regulation. Affective ratings and AIns activity predicted individual download choice; mPFC activity forecasted aggregate download rate, and positive arousal forecasted aggregate revenue. As hypothesized, the high IS group displayed coherent correlations between affective ratings, individual choice, and neural measures. More importantly, at the aggregate level, mPFC activity (integrative component), forecasted aggregate download rate above and beyond ratings and individual choice in the high IS group, with this prediction significantly stronger compared with the low IS group. These findings extend the AIM framework by shedding light on the influence of interoceptive sensibility on the neurobehavioral mechanisms underlying human decision-making.
期刊介绍:
Cognitive, Affective, & Behavioral Neuroscience (CABN) offers theoretical, review, and primary research articles on behavior and brain processes in humans. Coverage includes normal function as well as patients with injuries or processes that influence brain function: neurological disorders, including both healthy and disordered aging; and psychiatric disorders such as schizophrenia and depression. CABN is the leading vehicle for strongly psychologically motivated studies of brain–behavior relationships, through the presentation of papers that integrate psychological theory and the conduct and interpretation of the neuroscientific data. The range of topics includes perception, attention, memory, language, problem solving, reasoning, and decision-making; emotional processes, motivation, reward prediction, and affective states; and individual differences in relevant domains, including personality. Cognitive, Affective, & Behavioral Neuroscience is a publication of the Psychonomic Society.