Maria Arioli, Letizia Richelli, Giulia Mattavelli, Zaira Cattaneo, Paolo Poggi, Nicola Canessa
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Both univariate and multivariate analyses highlighted a positive quadratic (i.e., U-shaped) relationship between loss aversion and distinct morphometric features of the posterior insula and somatosensory-parietal cortex. These results first suggest that previous inconsistent findings might reflect methodological differences across studies, facilitating the detection of either the descending or ascending sectors of a U-shaped relationship between loss aversion and structural features. Moreover, they provide novel insights into the interoceptive modulation of choice-related evaluations guiding decision-making towards or away from loss avoidance, thus paving the way to studies investigating alterations of this mechanism in neuro-psychiatric conditions and its susceptibility to different types of intervention including neuromodulation.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 10","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hbm.70274","citationCount":"0","resultStr":"{\"title\":\"Morphometric Evidence of a U-Shaped Relationship Between Loss Aversion and Posterior Insular/Somatosensory Cortical Features\",\"authors\":\"Maria Arioli, Letizia Richelli, Giulia Mattavelli, Zaira Cattaneo, Paolo Poggi, Nicola Canessa\",\"doi\":\"10.1002/hbm.70274\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Neuroeconomic findings show that interoceptive sensitivity contributes to the typical overweighting of prospective losses over gains known as “loss aversion.” Whether the latter is related to the morphometric properties of the insula—a key node for interoception—remains, however, debated, due to previous conflicting evidence of both positive and negative correlations between their respective metrics. 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Morphometric Evidence of a U-Shaped Relationship Between Loss Aversion and Posterior Insular/Somatosensory Cortical Features
Neuroeconomic findings show that interoceptive sensitivity contributes to the typical overweighting of prospective losses over gains known as “loss aversion.” Whether the latter is related to the morphometric properties of the insula—a key node for interoception—remains, however, debated, due to previous conflicting evidence of both positive and negative correlations between their respective metrics. We combined a well-established behavioral modeling approach with a comprehensive morphometric protocol to explore both a linear and quadratic relationship between loss aversion and distinct voxel-based and surface-based cortical features in a sample of 208 healthy young individuals. Both univariate and multivariate analyses highlighted a positive quadratic (i.e., U-shaped) relationship between loss aversion and distinct morphometric features of the posterior insula and somatosensory-parietal cortex. These results first suggest that previous inconsistent findings might reflect methodological differences across studies, facilitating the detection of either the descending or ascending sectors of a U-shaped relationship between loss aversion and structural features. Moreover, they provide novel insights into the interoceptive modulation of choice-related evaluations guiding decision-making towards or away from loss avoidance, thus paving the way to studies investigating alterations of this mechanism in neuro-psychiatric conditions and its susceptibility to different types of intervention including neuromodulation.
期刊介绍:
Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged.
Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.