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Human connectome topology directs cortical traveling waves and shapes frequency gradients
Medicine and HealthNature Communications

Human connectome topology directs cortical traveling waves and shapes frequency gradients

D. P. Koller, M. Schirner, et al.

This research was conducted by Dominik P. Koller, Michael Schirner, and Petra Ritter. They confirm instrength gradients in the human connectome and use a cortical network model to show how these gradients direct traveling wave direction and shape neural oscillation frequency gradients; the model best fits resting-state MEG when instrength-directed waves and frequency gradients emerge and explains opposing directions and gradients in alpha versus beta bands.... show more
Abstract
Traveling waves and neural oscillation frequency gradients are pervasive in the human cortex. While the direction of traveling waves has been linked to brain function and dysfunction, the factors that determine this direction remain elusive. We hypothesized that structural connectivity instrength gradients – defined as the gradually varying sum of incoming connection strengths across the cortex – could shape both traveling wave direction and frequency gradients. We confirm the presence of instrength gradients in the human connectome across diverse cohorts and parcellations. Using a cortical network model, we demonstrate how these instrength gradients direct traveling waves and shape frequency gradients. Our model fits resting-state MEG functional connectivity best in a regime where instrength-directed traveling waves and frequency gradients emerge. We further show how structural subnetworks of the human connectome generate opposing wave directions and frequency gradients observed in the alpha and beta bands. Our findings suggest that structural connectivity instrength gradients affect both traveling wave direction and frequency gradients.
Publisher
Nature Communications
Published On
Apr 26, 2024
Authors
Dominik P. Koller, Michael Schirner, Petra Ritter
Tags
traveling wavesinstrength gradientsstructural connectivityfrequency gradientshuman connectomeresting-state MEGcortical network model
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