ArticleScientific reports2018
The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.
What it found
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Who cites it
68 citing papers in PubMed, 122 citations in OpenAlex.
- Functional harmonics reveal multi-dimensional basis functions underlying cortical organization.Cell reports · 2021Trial
- Awakening: Predicting external stimulation to force transitions between different brain states.Proceedings of the National Academy of Sciences of the United States of America · 2019Trial
- Temporal stability of functional network configurations and its relationship to cognition and psychopathology in early psychoses.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Network-specific metabolic cost of functional connectivity in the human brain.bioRxiv : the preprint server for biology · 2026Article
- Feature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkers.Nature human behaviour · 2026Article
- Higher-order functional connectivity and topological analysis of multichannel fNIRS data.Biomedical optics express · 2026Article
- Spatiotemporal asymmetries on brain energy landscape uncover system entrapment related to depression severity.Nature communications · 2026Article
- Spatiotemporal complexity in the psychotic brain.Molecular psychiatry · 2026Article
- Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain.PLoS computational biology · 2026Article
- Maximum entropy model reveals frequent brain state switching in a multiversal brain function analysis in early psychoses.bioRxiv : the preprint server for biology · 2026Article
- Superstitious conditioning shapes the illusory experience of free will under causal determinism.Frontiers in human neuroscience · 2026Article
- From microstates to macroscales: A Critical Review of Maximum Entropy Modeling and Energy Landscape Analysis in functional MRI.Research square · 2025Article
- Neurovascular Signaling at the Gliovascular Interface: From Flow Regulation to Cognitive Energy Coupling.International journal of molecular sciences · 2025Review
- The allostatic triage model of psychopathology (ATP Model): How reallocation of brain energetic resources under stress elicits psychiatric symptoms.Neuroscience and biobehavioral reviews · 2025Review
- Overlooked features lead to divergent neurobiological interpretations of brain-based machine learning biomarkers.bioRxiv : the preprint server for biology · 2025Article
- Brain state theory as a comprehensive model for addressing the "non-eloquent" brain in glioma surgery.Journal of neuro-oncology · 2025Article
- Can a single brain cell be surprised?Nature communications · 2025Article
- Entropy and Complexity Tools Across Scales in Neuroscience: A Review.Entropy (Basel, Switzerland) · 2025Review
- Energy landscape analysis based on the Ising model: Tutorial review.PLOS complex systems · 2025Article
- Rewiring the aging brain: exergaming modulates brain complexity in older adults.Frontiers in aging neuroscience · 2025Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 6 institutions in 2 countries.
Funding
Abstract
A critical mystery in neuroscience lies in determining how anatomical structure impacts the complex functional dynamics of the brain. How does large-scale brain circuitry constrain states of neuronal activity and transitions between those states? We address these questions using a maximum entropy model of brain dynamics informed by white matter tractography. We demonstrate that the most probable brain states - characterized by minimal energy - display common activation profiles across brain areas: local spatially-contiguous sets of brain regions reminiscent of cognitive systems are co-activated frequently. The predicted activation rate of these systems is highly correlated with the observed activation rate measured in a separate resting state fMRI data set, validating the utility of the maximum entropy model in describing neurophysiological dynamics. This approach also offers a formal notion of the energy of activity within a system, and the energy of activity shared between systems. We observe that within- and between-system energies cleanly separate cognitive systems into distinct categories, optimized for differential contributions to integrated versus segregated function. These results support the notion that energetic and structural constraints circumscribe brain dynamics, offering insights into the roles that cognitive systems play in driving whole-brain activation patterns.
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Registered trials
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.