ArticleeLife2021
The structural connectome constrains fast brain dynamics.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- Modeling the influences of non-local connectomic projections on geometrically constrained cortical dynamics.PLoS computational biology · 2026Article
- A personalized map of where, when, and how to stimulate the brain to elicit controlled responses.bioRxiv : the preprint server for biology · 2026Article
- Exploring the Role of the Rich Club in Network Control of Neurocognitive States.Human brain mapping · 2026Article
- The role of high-amplitude bursts of high-gamma activity in naturalistic speech and music listening.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Evaluating oscillatory mechanisms underlying flexible neural communication in the human brain.Network neuroscience (Cambridge, Mass.) · 2026Article
- The neurotoxic legacy of CAR-T cells: where do we stand?Therapeutic advances in neurological disorders · 2026Review
- Spatiotemporal brain complexity quantifies consciousness outside of perturbation paradigms.eLife · 2025Article
- Evaluating oscillatory mechanisms underlying flexible neural communication in the human brain.bioRxiv : the preprint server for biology · 2025Article
- L-Dopa-induced changes in aperiodic bursts dynamics relate to individual clinical improvement in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Event-Marked Windowed Communication: Inferring Activity Propagation from Neural Time Series.Human brain mapping · 2025Article
- Magnetoencephalography Dimensionality Reduction Informed by Dynamic Brain States.The European journal of neuroscience · 2025Article
- The Virtual Parkinsonian patient.NPJ systems biology and applications · 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
- Low-dimensional controllability of brain networks.PLoS computational biology · 2025Article
- Comparing structure-function relationships in brain networks using EEG and fNIRS.Scientific reports · 2024Article
- The virtual multiple sclerosis patient.iScience · 2024Article
- Neuronal avalanches in temporal lobe epilepsy as a noninvasive diagnostic tool investigating large scale brain dynamics.Scientific reports · 2024Article
- Virtual brain twins: from basic neuroscience to clinical use.National science review · 2024Review
- Brain flexibility increases during the peri-ovulatory phase as compared to early follicular phase of the menstrual cycle.Scientific reports · 2024Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain activity during rest displays complex, rapidly evolving patterns in space and time. Structural connections comprising the human connectome are hypothesized to impose constraints on the dynamics of this activity. Here, we use magnetoencephalography (MEG) to quantify the extent to which fast neural dynamics in the human brain are constrained by structural connections inferred from diffusion MRI tractography. We characterize the spatio-temporal unfolding of whole-brain activity at the millisecond scale from source-reconstructed MEG data, estimating the probability that any two brain regions will significantly deviate from baseline activity in consecutive time epochs. We find that the structural connectome relates to, and likely affects, the rapid spreading of neuronal avalanches, evidenced by a significant association between these transition probabilities and structural connectivity strengths (r = 0.37, p<0.0001). This finding opens new avenues to study the relationship between brain structure and neural dynamics.
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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.