ArticlePLoS computational biology2023
Spatial and temporal correlations in human cortex are inherently linked and predicted by functional hierarchy, vigilance state as well as antiepileptic drug load.
Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Emergent critical oscillations in motor cortex of Parkinson's patients.bioRxiv : the preprint server for biology · 2026Article
- Synchrony is a robust iEEG biomarker for antiseizure medication load in epileptic patients.bioRxiv : the preprint server for biology · 2026Article
- The role of high-amplitude bursts of high-gamma activity in naturalistic speech and music listening.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Magnetoencephalography Dimensionality Reduction Informed by Dynamic Brain States.The European journal of neuroscience · 2025Article
- Sleep Modulates Neural Timescales and Spatiotemporal Integration in the Human Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Critical dynamics predicts cognitive performance and provides a common framework for heterogeneous mechanisms impacting cognition.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Mapping and modeling age-related changes in intrinsic neural timescales.Communications biology · 2025Article
- Critical dynamics and interictal epileptiform discharge: a comparative analysis with respect to tracking seizure risk cycles.Frontiers in network physiology · 2024Article
- Brain criticality predicts individual levels of inter-areal synchronization in human electrophysiological data.Nature communications · 2023Article
- Correction: Spatial and temporal correlations in human cortex are inherently linked and predicted by functional hierarchy, vigilance state as well as antiepileptic drug load.PLoS computational biology · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ability of neural circuits to integrate information over time and across different cortical areas is believed an essential ingredient for information processing in the brain. Temporal and spatial correlations in cortex dynamics have independently been shown to capture these integration properties in task-dependent ways. A fundamental question remains if temporal and spatial integration properties are linked and what internal and external factors shape these correlations. Previous research on spatio-temporal correlations has been limited in duration and coverage, thus providing only an incomplete picture of their interdependence and variability. Here, we use long-term invasive EEG data to comprehensively map temporal and spatial correlations according to cortical topography, vigilance state and drug dependence over extended periods of time. We show that temporal and spatial correlations in cortical networks are intimately linked, decline under antiepileptic drug action, and break down during slow-wave sleep. Further, we report temporal correlations in human electrophysiology signals to increase with the functional hierarchy in cortex. Systematic investigation of a neural network model suggests that these dynamical features may arise when dynamics are poised near a critical point. Our results provide mechanistic and functional links between specific measurable changes in the network dynamics relevant for characterizing the brain's changing information processing capabilities.
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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.