Evidence map›Paper›PMID 35968845›Full record

ArticleeLife2022

Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent manner.

Cecilia Gallego-Carracedo, Matthew G Perich, Raeed H Chowdhury, Lee E Miller, Juan Álvaro Gallego

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
6.7field-weighted citation impact, top 2% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

41 citing papers in PubMed, 62 citations in OpenAlex.

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  11. Neural synchrony links sensorimotor cortices in a network for facial motor control.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Conjunctive population coding integrates sensory evidence to guide adaptive behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Distinct neural dynamics in the ventral hippocampus and medial prefrontal cortex during social information processing.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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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

5 authors at 5 institutions in 4 countries.

Cecilia Gallego-CarracedoDepartment of Bioengineering, Imperial College London, London, United Kingdom.ORCID 0000-0002-0478-2359
Matthew G PerichDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID 0000-0001-9800-2386
Raeed H ChowdhuryDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, United States.ORCID 0000-0002-5934-919X
Lee E MillerDepartment of Neuroscience, Northwestern University, Chicago, United States.ORCID 0000-0001-8675-7140
Juan Álvaro GallegoDepartment of Bioengineering, Imperial College London, London, United Kingdom.ORCID 0000-0003-2146-0703
Imperial College London · GBNational Academies of Sciences, Engineering, and Medicine · USNorthwestern University · USUniversité de Montréal · CAUniversity of Pittsburgh · US

Funding

Primate model of an intracortically controlled FES prostR01NS053603 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KENNEDY, ANN KATHRYN, MILLER, LEE · 2006 to 2021
$7.1M
PATHOPHYSIOLOGY AND REHABILITATION OF NEURAL DYSFUNCTIONT32HD007418 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Levi John Hargrove · 1992 to 2026
$6.5M
Training in the Neurobiology of Neurological DiseaseT32NS086749 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Omar El Gharbawie, REBECCA P SEAL · 2014 to 2026
$4.8M
Biomimetic Somatosensory Feedback through IntracorticalmicrostimulationR01NS095251 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BENSMAIA, SLIMAN, GRILL, WARREN M. · 2016 to 2020
$3.7M
The representation of uncertainty in the sensorimotor systemR01NS074044 · NINDS · REHABILITATION INSTITUTE OF CHICAGO D/B/A SHIRLEY RYAN ABILITYLAB · PI KORDING, KONRAD P., MILLER, LEE · 2011 to 2015
$1.6M
Motor Cortical Function During Motor Learning with a Brain-Machine InterfaceF31NS092356 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI PERICH, MATTHEW GEORGE · 2015 to 2017
$93k
NICHD NIH HHS T32 HD007418NINDS NIH HHS F31 NS092356NINDS NIH HHS R01 NS053603NINDS NIH HHS R01 NS074044NINDS NIH HHS R01 NS095251NINDS NIH HHS T32 NS086749
6 · The paper itself

Abstract

The spiking activity of populations of cortical neurons is well described by the dynamics of a small number of population-wide covariance patterns, whose activation we refer to as 'latent dynamics'. These latent dynamics are largely driven by the same correlated synaptic currents across the circuit that determine the generation of local field potentials (LFPs). Yet, the relationship between latent dynamics and LFPs remains largely unexplored. Here, we characterised this relationship for three different regions of primate sensorimotor cortex during reaching. The correlation between latent dynamics and LFPs was frequency-dependent and varied across regions. However, for any given region, this relationship remained stable throughout the behaviour: in each of primary motor and premotor cortices, the LFP-latent dynamics correlation profile was remarkably similar between movement planning and execution. These robust associations between LFPs and neural population latent dynamics help bridge the wealth of studies reporting neural correlates of behaviour using either type of recordings.

Indexed as

Motor CortexAction PotentialsAnimalsMovementNeuronsPopulation Dynamicslocal field potentialsmotor cortexneural manifoldsneural populationsneurosciencerhesus macaquesingle neuronssomatosensory cortex

Identifiers

PMID35968845
PMCPMC9470163
OpenAlexW4291551895

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.