Topographic gradients of intrinsic dynamics across neocortex
- McGill University, Canada
- University of Sydney, Australia
Abstract
The intrinsic dynamics of neuronal populations are shaped by both microscale attributes and macroscale connectome architecture. Here we comprehensively characterize the rich temporal patterns of neural activity throughout the human brain. Applying massive temporal feature extraction to regional haemodynamic activity, we systematically estimate over 6,000 statistical properties of individual brain regions' time-series across the neocortex. We identify two robust spatial gradients of intrinsic dynamics, one spanning a ventromedial-dorsolateral axis and dominated by measures of signal autocorrelation, and the other spanning a unimodal-transmodal axis and dominated by measures of dynamic range. These gradients reflect spatial patterns of gene expression, intracortical myelin and cortical thickness, as well as structural and functional network embedding. Importantly, these gradients are correlated with patterns of meta-analytic functional activation, differentiating cognitive versus affective processing and sensory versus higher-order cognitive processing. Altogether, these findings demonstrate a link between microscale and macroscale architecture, intrinsic dynamics, and cognition.
Data availability
All data used in this study is publicly available. Detailed information about the datasets is available in the manuscript.
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Human Connectome Project (HCP)ConnectomeDB, https://db.humanconnectome.org/app/template/Login.vm;jsessionid=5925BF444CE79AFD10B0D723CEBBD1CB.
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Midnight Scan Club (MSC)OpenfMRI database, accession number: ds000224.
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Allen Institute Human Brain Atlas (AHBA)https://human.brain-map.org/static/download.
Article and author information
Author details
Funding
Natural Sciences and Engineering Research Council of Canada
- Golia Shafiei
Natural Sciences and Engineering Research Council of Canada (NSERC Discovery Grant RGPIN #017-04265)
- Bratislav Misic
Canada First Research Excellence Fund, awarded to McGill University for the Healthy Brains for Healthy Lives initiative
- Bratislav Misic
Canada Research Chairs Program
- Bratislav Misic
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Human subjects: Informed consent and consent to publish were obtained during data acquisition process (all data used in this study were obtained from publicly available datasets).
Reviewing Editor
- Lucina Q Uddin, University of Miami, United States
Publication history
- Received: August 14, 2020
- Accepted: December 16, 2020
- Accepted Manuscript published: December 17, 2020 (version 1)
- Version of Record published: December 29, 2020 (version 2)
Copyright
© 2020, Shafiei et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Topographic gradients of intrinsic dynamics across neocortex
eLife 9:e62116.
https://doi.org/10.7554/eLife.62116
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