ArticleNeuroImage2023
A physical neural mass model framework for the analysis of oscillatory generators from laminar electrophysiological recordings.
Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed, 47 citations in OpenAlex.
- The prefrontal cortex across scales: laminar architecture, white-matter constraints, and distributed control in cognition.Brain structure & function · 2026Review
- A mean-field model of neural networks with PV and SOM interneurons reveals connectivity-based mechanisms of gamma oscillations.PLoS computational biology · 2026Article
- Emergence of multifrequency activity in a laminar neural mass model.PLoS computational biology · 2026Article
- Hierarchical whole-brain modeling of critical synchronization dynamics in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Is there a ubiquitous spectrolaminar motif of local field potential power across primate neocortex?Nature neuroscience · 2026Article
- Optimal Inhibitory-to-Excitatory Ratio Governs Slow and Fast Oscillations for Enhanced Neural Communication.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- A Translational Neural Network Mechanism of Resilience: Top-Down Control and Plasticity of the Visual Cortex Relates to Resilient Outcome and Performance.Research (Washington, D.C.) · 2026Article
- Article
- Fast Interneuron Dysfunction in Laminar Neural Mass Model Reproduces Alzheimer's Oscillatory Biomarkers.Human brain mapping · 2026Article
- Restoring oscillatory dynamics in Alzheimer's disease: A laminar whole-brain model of serotonergic psychedelic effects.Network neuroscience (Cambridge, Mass.) · 2026Article
- A genetic algorithm for self-supervised models of oscillatory neurodynamics.bioRxiv : the preprint server for biology · 2025Article
- Bridging local and global dynamics: a biologically grounded model for cooperative and competitive interactions in the brain.bioRxiv : the preprint server for biology · 2025Article
- A ubiquitous spectrolaminar motif across independent studies, including Mackey et al.'s own data.bioRxiv : the preprint server for biology · 2025Article
- Mechanical Artifacts During Transcranial Focused Ultrasound Mimic Biologically Evoked Responses.bioRxiv : the preprint server for biology · 2025Article
- Metastable dynamics emerge from local excitatory-inhibitory homeostasis in the cortex at rest.Network neuroscience (Cambridge, Mass.) · 2025Article
- Excitatory-inhibitory homeostasis and bifurcation control in the Wilson-Cowan model of cortical dynamics.PLoS computational biology · 2025Article
- Localization of the epileptogenic network from scalp EEG using a patient-specific whole-brain model.Network neuroscience (Cambridge, Mass.) · 2025Article
- The Algorithmic Agent Perspective and Computational Neuropsychiatry: From Etiology to Advanced Therapy in Major Depressive Disorder.Entropy (Basel, Switzerland) · 2024Article
- Propofol-mediated loss of consciousness disrupts predictive routing and local field phase modulation of neural activity.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- A ubiquitous spectrolaminar motif of local field potential power across the primate cortex.Nature neuroscience · 2024Article
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Authors and funding
8 authors at 6 institutions in 4 countries.
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Abstract
Cortical function emerges from the interactions of multi-scale networks that may be studied at a high level using neural mass models (NMM) that represent the mean activity of large numbers of neurons. Here, we provide first a new framework called laminar NMM, or LaNMM for short, where we combine conduction physics with NMMs to simulate electrophysiological measurements. Then, we employ this framework to infer the location of oscillatory generators from laminar-resolved data collected from the prefrontal cortex in the macaque monkey. We define a minimal model capable of generating coupled slow and fast oscillations, and we optimize LaNMM-specific parameters to fit multi-contact recordings. We rank the candidate models using an optimization function that evaluates the match between the functional connectivity (FC) of the model and data, where FC is defined by the covariance between bipolar voltage measurements at different cortical depths. The family of best solutions reproduces the FC of the observed electrophysiology by selecting locations of pyramidal cells and their synapses that result in the generation of fast activity at superficial layers and slow activity across most depths, in line with recent literature proposals. In closing, we discuss how this hybrid modeling framework can be more generally used to infer cortical circuitry.
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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.