Insula-based networks in professional musicians: Evidence for increased functional connectivity during resting state fMRI

Anna M. Zamorano*, Ignacio Cifre, Pedro Montoya, Inmaculada Riquelme, Boris Kleber

*Autor/a de correspondencia de este trabajo

Producción científica: Artículo en revista indizadaArtículorevisión exhaustiva

43 Citas (Scopus)

Resumen

Despite considerable research on experience-dependent neuroplasticity in professional musicians, detailed understanding of an involvement of the insula is only now beginning to emerge. We investigated the effects of musical training on intrinsic insula-based connectivity in professional classical musicians relative to nonmusicians using resting-state functional MRI. Following a tripartite scheme of insula subdivisions, coactivation profiles were analyzed for the posterior, ventral anterior, and dorsal anterior insula in both hemispheres. While whole-brain connectivity across all participants confirmed previously reported patterns, between-group comparisons revealed increased insular connectivity in musicians relative to nonmusicians. Coactivated regions encompassed constituents of large-scale networks involved in salience detection (e.g., anterior and middle cingulate cortex), affective processing (e.g., orbitofrontal cortex and temporal pole), and higher order cognition (e.g., dorsolateral prefrontal cortex and the temporoparietal junction), whereas no differences were found for the reversed group contrast. Importantly, these connectivity patterns were stronger in musicians who experienced more years of musical practice, including also sensorimotor regions involved in music performance (M1 hand area, S1, A1, and SMA). We conclude that musical training triggers significant reorganization in insula-based networks, potentially facilitating high-level cognitive and affective functions associated with the fast integration of multisensory information in the context of music performance. Hum Brain Mapp 38:4834–4849, 2017.

Idioma originalInglés
Páginas (desde-hasta)4834-4849
Número de páginas16
PublicaciónHuman Brain Mapping
Volumen38
N.º10
DOI
EstadoPublicada - oct 2017

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