명상도서관
Long‑Term and Meditation‑Specifc Modulations of Brain Connectivity Revealed Through Multivariate Pattern Analysis
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- 자료유형학술지논문
- 저자명Roberto Guidotti, Antea D’Andrea, Alessio Basti, Antonino Rafone, Vittorio Pizzella, Laura Marzetti
- 학회/출판사/기관명Kluwer Academic/Human Sciences Press Inc.
- 출판년도2023
- 언어영어
- 학술지명/학위논문주기Brain Topography
- 발행사항Volume 36
- ISBN/ISSN15736792
- 소개/요약Neuroimaging studies have provided evidence that extensive meditation practice modifies the functional and structural properties of the human brain, such as large-scale brain region interplay. However, it remains unclear how different meditation styles are involved in the modulation of these large-scale brain networks. Here, using machine learning and fMRI functional connectivity, we investigated how focused attention and open monitoring meditation styles impact large-scale brain networks. Specifically, we trained a classifier to predict the meditation style in two groups of subjects: expert Theravada Buddhist monks and novice meditators. We showed that the classifier was able to discriminate the meditation style only in the expert group. Additionally, by inspecting the trained classifier, we observed that the Anterior Salience and the Default Mode networks were relevant for the classification, in line with their theorized involvement in emotion and self-related regulation in meditation. Interestingly, results also highlighted the role of specific couplings between areas crucial for regulating attention and self-awareness as well as areas related to processing and integrating somatosensory information. Finally, we observed a larger involvement of left inter-hemispheric connections in the classification. In conclusion, our work supports the evidence that extensive meditation practice modulates large-scale brain networks, and that the different meditation styles differentially affect connections that subserve style-specific functions.
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