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. - 2022:3(2022), pp. 10-10. (Intervento presentato al convegno SAS 2021 tenutosi a Virtual nel 13th-16th April 2021).

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.
2022
Top Ranked Abstracts from the 2021 Annual Meeting of the Society for Affective Science
Cham, Svizzera
Springer
Predicting real-time fMRI-based insula regulation from brain structure / Caria, Andrea; Grecucci, Alessandro. - In: AFFECTIVE SCIENCE. - ISSN 2662-205X. - 2022:3(2022), pp. 10-10. (Intervento presentato al convegno SAS 2021 tenutosi a Virtual nel 13th-16th April 2021).
Caria, Andrea; Grecucci, Alessandro
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/338276
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