In this study, we employed MVPA to investigate structural brain features predictive of successful real-time fMRI-based anterior insula regulation. Our results indicate the main contribution of FPCN and SN along with cerebellum to learned anterior insula control. Altogether, our findings highlight specific regions involved in real-time fMRI-based emotion regulation and partial overlap with brain networks related to cognitive emotion regulation.
Predicting real-time fMRI-based insula regulation from brain structure / Caria, Andrea; Grecucci, Alessandro. - In: AFFECTIVE SCIENCE. - ISSN 2662-205X. - 3:1(2022), pp. 10-10. [10.1007/s42761-021-00065-7]
Predicting real-time fMRI-based insula regulation from brain structure
Caria, Andrea;Grecucci, Alessandro
2022-01-01
Abstract
In this study, we employed MVPA to investigate structural brain features predictive of successful real-time fMRI-based anterior insula regulation. Our results indicate the main contribution of FPCN and SN along with cerebellum to learned anterior insula control. Altogether, our findings highlight specific regions involved in real-time fMRI-based emotion regulation and partial overlap with brain networks related to cognitive emotion regulation.| File | Dimensione | Formato | |
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Caria_Grecucci22_AS.pdf
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