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Topographic Connectivity in a Duration Selective Cortico-Cerebellar Network

Topographic Connectivity in a Duration Selective Cortico-Cerebellar Network

来源:bioRxiv_logobioRxiv
英文摘要

Abstract How does the human brain represent millisecond unit of time? A recent neuroimaging study revealed the existence in the human premotor cortex of a topographic representation of time i.e., neuronal units selectively responsive to specific durations and topographically organized on the cortical surface. By using high resolution functional Magnetic Resonance Images here, we go futher this previous work, showing duration preferences across a wide network of cortical and subcortical brain areas: from cerebellum to primary visual, parietal, premotor and prefrontal cortices. Most importantly, we identify the functional connectivity structure between these different brain areas and their duration selective neural units. The results highlight the role of the cerebellum as the network hub and that of medial premotor cortex as the final stage of duration recognition. Interstingly, when a specific duration is presented, only the communication between the units selective to that duration become particularly “active”. These findings identify duration tuning and topographic connectivity as possible mechanisms underlying our capacity of telling time.

Protopapa Foteini、Hayashi Masamichi J.、Kanai Ryota、Bueti Domenica

International School for Advanced Studies (SISSA)Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology||Graduate School of Frontier Biosciences, Osaka UniversitySackler Centre for Consciousness Science, University of Sussex||Araya, Inc.International School for Advanced Studies (SISSA)

10.1101/2020.04.08.031385

生物科学理论、生物科学方法物理学系统科学、系统技术

Protopapa Foteini,Hayashi Masamichi J.,Kanai Ryota,Bueti Domenica.Topographic Connectivity in a Duration Selective Cortico-Cerebellar Network[EB/OL].(2025-03-28)[2025-05-15].https://www.biorxiv.org/content/10.1101/2020.04.08.031385.点此复制

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