2016
Situating the default-mode network along a principal gradient of macroscale cortical organization
Abstract: Understanding how the structure of cognition arises from the topographical organization of the cortex is a primary goal in neuroscience. Previous work has described local functional gradients extending from perceptual and motor regions to cortical areas representing more abstract functions, but an overarching framework for the association between structure and function is still lacking. Here, we show that the principal gradient revealed by the decomposition of connectivity data in humans and the macaque monkey…
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Cited by 2,505 publications
(4,851 citation statements)
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“…Differing traveling wave directions in ECoG compared to M/EEG might arise from signal mixing or low spatial resolution 74 . Recent studies found that large-scale fMRI infra slow waves in humans and gamma band-limited power waves in macaque 10,75 followed the principal functional connectivity gradient 20 , which differs from the instrength gradient found in our study. Thus, empirical traveling waves could be directed by instrength gradients in certain frequency bands (e.g., alpha and theta) but not others (e.g., infra slow waves and gamma).…”
Section: Discussioncontrasting
confidence: 99%
“…Differing traveling wave directions in ECoG compared to M/EEG might arise from signal mixing or low spatial resolution 74 . Recent studies found that large-scale fMRI infra slow waves in humans and gamma band-limited power waves in macaque 10,75 followed the principal functional connectivity gradient 20 , which differs from the instrength gradient found in our study. Thus, empirical traveling waves could be directed by instrength gradients in certain frequency bands (e.g., alpha and theta) but not others (e.g., infra slow waves and gamma).…”
Section: Discussioncontrasting
confidence: 99%
“…In contrast to our initial hypothesis, we did not find evidence for a role of individual cortical geometry in predicting individual functional activations, despite prior studies indicating an association between cortical geometry and function at the group-level (Margulies, 2016; Pang, 2023). This broad association may stem from developmental processes (Chandra, 2024) guided by growth and patterning centers (Cadwell, 2019; Molnár & Kwan, 2024), which shape cortical neural differentiation in a spatial manner.…”
Section: Discussioncontrasting
confidence: 99%
“…However, our gradient-based analysis demonstrated that this global decrease was not linked to alterations in the underlying structure, which remained consistent across states. However, in contrast to other studies 37 , 42 , 43 our approach did not reveal a clear separation between sensorimotor and auditory regions on one end and transmodal regions on the other end in terms of the first gradient. This discrepancy could be explained by the fact that we did not use BOLD signals derived from predefined functional parcellation; instead, we employed ICs time courses, which represent average signals of the nodes comprising them.…”
Section: Discussioncontrasting
confidence: 99%
