Communication dynamics in the human connectome

人类连接组中的通讯动力学

• 批准号: RGPIN-2017-04265
• 负责人: Misic, Bratislav
• 金额: $ 2.19万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=709717
• 关键词: Communication; dynamics; human; connectome

Communication dynamics in the human connectome The human brain is a complex network of anatomically connected and functionally interacting neuronal populations. Collective communication among these distributed elements is thought to support patterned neural activity, as well as flexible cognitive operations and complex behavior. Recent innovations in noninvasive neuroimaging have resulted in increasingly detailed maps of human brain connectivity patterns (connectomes). Concomitant analytic advancements in network science and statistics have offered new insight into the organizational principles of brain networks. Despite considerable progress, we do not yet understand how neural signalling in brain networks translates to individual variation in behaviour and performance. First, most modern research has focused on static properties of brain networks, but fundamental theoretical models of how communication processes unfold on these networks are still lacking. Second, much of our knowledge about brain network organization comes from studies performed on composite connectomes averaged over many individuals, obscuring the link between network function and individual differences in behaviour. The goal of this proposal is to investigate how communication processes on individual connectomes give rise to observable neural activity patterns and to individual variation in cognitive-behavioral phenotypes. First, we will continue to develop a theoretical and computational framework to relate brain structure and function, by conceptualizing brain function as the result of communication processes on the connectome. Second, we will customize these models to individual human connectomes and relate network features to individuality in cognition and behavior. This work will establish a principled, theoretical foundation for how communication processes unfold on the human connectome and give rise to individual cognitive characteristics. These findings have the potential to uncover network mechanisms of mental disorders, thus addressing a problem of great societal importance. The proposed project integrates two vibrant scientific disciplines, providing unique educational opportunities for trainees.

人类连接体中的交流动态