Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization

The unique contributions of different frontoparietal networks (FPNs) in cognition remains unclear. Here, authors use neuroadaptive Bayesian optimization to identify cognitive tasks that segregate dorsal and ventral FPNs and reveal complex many-to-many mappings between cognitive tasks and FPNs.

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Detalles Bibliográficos
Autores principales: Romy Lorenz, Ines R. Violante, Ricardo Pio Monti, Giovanni Montana, Adam Hampshire, Robert Leech
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/e82b555ea3a2440696a1a1ae12917310
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Descripción
Sumario:The unique contributions of different frontoparietal networks (FPNs) in cognition remains unclear. Here, authors use neuroadaptive Bayesian optimization to identify cognitive tasks that segregate dorsal and ventral FPNs and reveal complex many-to-many mappings between cognitive tasks and FPNs.