ArticleCommunications biology2021
Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states.
Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 29 citations in OpenAlex.
- Personalized whole-brain Ising models with heterogeneous nodes capture differences among brain regions.bioRxiv : the preprint server for biology · 2026Article
- Microstructural Integrity of Hippocampal-Posterior Cortical White Matter Is Associated With Phenomenological Properties of Trauma-Related Intrusive Memories.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- White matter signals reflect information transmission between brain regions during seizures.Brain : a journal of neurology · 2026Article
- The structural grammar of integration and competition in the human connectome.Frontiers in computational neuroscience · 2026Article
- From microstates to macroscales: A Critical Review of Maximum Entropy Modeling and Energy Landscape Analysis in functional MRI.Research square · 2025Article
- Minimax entropy: The statistical physics of optimal models.Physical review. E · 2025Article
- Statistical physics of large-scale neural activity with loops.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Spontaneous Brain Activity Emerges from Pairwise Interactions in the Larval Zebrafish Brain.Physical review. X · 2024Article
- A Dynamic Entropy Approach Reveals Reduced Functional Network Connectivity Trajectory Complexity in Schizophrenia.Entropy (Basel, Switzerland) · 2024Article
- Diagnostically distinct resting state fMRI energy distributions: A subject-specific maximum entropy modeling study.bioRxiv : the preprint server for biology · 2024Article
- The role of elasticity on adhesion and clustering of neurons on soft surfaces.Communications biology · 2024Article
- The quality and complexity of pairwise maximum entropy models for large cortical populations.PLoS computational biology · 2024Article
- Intracranial EEG Structure-Function Coupling and Seizure Outcomes After Epilepsy Surgery.Neurology · 2023Article
- A framework For brain atlases: Lessons from seizure dynamics.NeuroImage · 2022Article
- Inferring excitation-inhibition dynamics using a maximum entropy model unifying brain structure and function.Network neuroscience (Cambridge, Mass.) · 2022Article
- The small world coefficient 4.8 ± 1 optimizes information processing in 2D neuronal networks.NPJ systems biology and applications · 2022Article
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
A major challenge in neuroscience is determining a quantitative relationship between the brain's white matter structural connectivity and emergent activity. We seek to uncover the intrinsic relationship among brain regions fundamental to their functional activity by constructing a pairwise maximum entropy model (MEM) of the inter-ictal activation patterns of five patients with medically refractory epilepsy over an average of ~14 hours of band-passed intracranial EEG (iEEG) recordings per patient. We find that the pairwise MEM accurately predicts iEEG electrodes' activation patterns' probability and their pairwise correlations. We demonstrate that the estimated pairwise MEM's interaction weights predict structural connectivity and its strength over several frequencies significantly beyond what is expected based solely on sampled regions' distance in most patients. Together, the pairwise MEM offers a framework for explaining iEEG functional connectivity and provides insight into how the brain's structural connectome gives rise to large-scale activation patterns by promoting co-activation between connected structures.
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