ArticleNetwork neuroscience (Cambridge, Mass.)2023
Dynamical interactions reconfigure the gradient of cortical timescales.
Article in Network neuroscience (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
- The role of high-amplitude bursts of high-gamma activity in naturalistic speech and music listening.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- A Method for Estimating Dynamic Functional Network Connectivity Gradients (dFNGs) From ICA Captures Smooth Inter-Network Modulation.Human brain mapping · 2025Article
- A method for unsupervised learning of coherent spatiotemporal patterns in multiscale data.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Intermodal Consistency of Whole-Brain Connectivity and Signal Propagation Delays.Human brain mapping · 2025Article
- Dynamic reconfiguration of aperiodic brain activity supports cognitive functioning in epilepsy: A neural fingerprint identification.iScience · 2025Article
- Neuronal avalanches in temporal lobe epilepsy as a noninvasive diagnostic tool investigating large scale brain dynamics.Scientific reports · 2024Article
- A method for estimating dynamic functional network connectivity gradients (dFNG) from ICA captures smooth inter-network modulation.bioRxiv : the preprint server for biology · 2024Article
- Excitation/Inhibition balance relates to cognitive function and gene expression in temporal lobe epilepsy: a high density EEG assessment with aperiodic exponent.Brain communications · 2024Article
- Analyzing asymmetry in brain hierarchies with a linear state-space model of resting-state fMRI data.Network neuroscience (Cambridge, Mass.) · 2024Article
- Altered spread of waves of activities at large scale is influenced by cortical thickness organization in temporal lobe epilepsy: a magnetic resonance imaging-high-density electroencephalography study.Brain communications · 2024Article
- Living on the edge: network neuroscience beyond nodes.Trends in cognitive sciences · 2023Review
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9 authors.
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Abstract
The functional organization of the brain is usually presented with a back-to-front gradient of timescales, reflecting regional specialization with sensory areas (back) processing information faster than associative areas (front), which perform information integration. However, cognitive processes require not only local information processing but also coordinated activity across regions. Using magnetoencephalography recordings, we find that the functional connectivity at the edge level (between two regions) is also characterized by a back-to-front gradient of timescales following that of the regional gradient. Unexpectedly, we demonstrate a reverse front-to-back gradient when nonlocal interactions are prominent. Thus, the timescales are dynamic and can switch between back-to-front and front-to-back patterns.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.