Signal diffusion along connectome gradients and inter-hub routing differentially contribute to dynamic human brain function

NeuroImage

Bratislav Mišić¹  Reinder Vos de Wael²  Danilo Bzdok³  Jonathan Smallwood⁴  Daniel S. Margulies⁵  Casey Paquola⁶  Sofie L. Valk⁶  Bo-yong Park⁶  Qiongling Li⁶  Jessica Royer⁶  Raul R. Cruces⁶  Shahin Tavakol⁶  Oualid Benkarim⁶  Boris C. Bernhardt⁶  Sara Larivière⁶ 

[1] Behaviour), Research Centre Jülich, Jülich, Germany;Corresponding authors.;Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany;Frontlab, Institut du Cerveau et de la Moelle épinière, UPMC UMRS 1127, Inserm U 1127, CNRS UMR 7225, Paris, France;;Institute of Neuroscience and Medicine (INM-7: Brain &Multimodal Imaging and Connectome Analysis Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada;

关键词: structural connectome;    gradients;    functional dynamics;    Hidden Markov Model;    multimodal imaging;    diffusion MRI;   

DOI  :  

来源: DOAJ

【 摘 要 】

Human cognition is dynamic, alternating over time between externally-focused states and more abstract, often self-generated, patterns of thought. Although cognitive neuroscience has documented how networks anchor particular modes of brain function, mechanisms that describe transitions between distinct functional states remain poorly understood. Here, we examined how time-varying changes in brain function emerge within the constraints imposed by macroscale structural network organization. Studying a large cohort of healthy adults (n = 326), we capitalized on manifold learning techniques that identify low dimensional representations of structural connectome organization and we decomposed neurophysiological activity into distinct functional states and their transition patterns using Hidden Markov Models. Structural connectome organization predicted dynamic transitions anchored in sensorimotor systems and those between sensorimotor and transmodal states. Connectome topology analyses revealed that transitions involving sensorimotor states traversed short and intermediary distances and adhered strongly to communication mechanisms of network diffusion. Conversely, transitions between transmodal states involved spatially distributed hubs and increasingly engaged long-range routing. These findings establish that the structure of the cortex is optimized to allow neural states the freedom to vary between distinct modes of processing, and so provides a key insight into the neural mechanisms that give rise to the flexibility of human cognition.

【 授权许可】

Unknown