Evidence map›Paper›PMID 41889809›Full record

ArticlebioRxiv : the preprint server for biology2026

A Spatially Structured Spiking Network Model of Beta Traveling Waves and Their Attenuation in Motor Cortex.

Ludovica Bachschmid-Romano, Nicholas Hatsopoulos, Nicolas Brunel

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ludovica Bachschmid-RomanoDepartment of Neurobiology, Duke University, Durham, NC, USA.
Nicholas HatsopoulosDepartment of Anatomy and Organismal Biology, University of Chicago, Chicago, IL, USA.
Nicolas BrunelDepartment of Neurobiology, Duke University, Durham, NC, USA.

Funding

Large-scale, neuronal ensemble recordings in motor cortex of the behaving marmosetR01NS104898 · NINDS · UNIVERSITY OF CHICAGO · PI BRUNEL, NICOLAS, HATSOPOULOS, NICHOLAS G · 2018 to 2022
$3.0M
Coding of Action by Motor & Premotor Cortical EnsemblesR01NS111982 · NINDS · UNIVERSITY OF CHICAGO · PI HATSOPOULOS, NICHOLAS G, ROSS, CALLUM F · 2019 to 2023
$2.2M
NINDS NIH HHS R01 NS104898NINDS NIH HHS R01 NS111982
6 · The paper itself

Abstract

Beta-band oscillations in primate motor cortex propagate as planar traveling waves whose amplitude attenuates with spatial gradients across the cortical sheet just before movement onset. How local excitatory-inhibitory (E-I) interactions and spatial connectivity jointly generate these waves, their attenuation patterns, and their stereotyped rostro-caudal bias remains unclear. Here we address this question by implementing a spatially structured network of leaky integrate-and-fire neurons with distance-dependent connectivity, conduction delays, and realistic synaptic dynamics. Through linear stability analysis and large-scale simulations validated against macaque electrophysiology, we show that planar beta waves emerge as Turing-Hopf spatiotemporal instabilities, where global beta oscillations coexist with irregular single-neuron firing. When the network operates near the boundary between oscillatory and asynchronous regimes, internally generated fluctuations produce the irregular, transient beta bursts characteristic of single-trial local field potentials. A rapid, spatially homogeneous increase in external drive pushes the circuit into an asynchronous state, reproducing the beta power reduction and spatial attenuation gradients seen at movement onset, alongside the irregular spatiotemporal dynamics of movement execution. By introducing anisotropic excitatory-to-excitatory connectivity, we recover the observed rostro-caudal propagation bias. Our results suggest that motor cortical traveling waves are intrinsic dynamical modes of local E-I circuits, recruited and modulated by behaviorally relevant inputs to organize movement initiation.

Identifiers

PMID41889809
PMCPMC13015428

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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.