Evidence map›Paper›PMID 38352585›Full record

ArticlebioRxiv : the preprint server for biology2024

The Primate Cortical LFP Exhibits Multiple Spectral and Temporal Gradients and Widespread Task-Dependence During Visual Short-Term Memory.

Steven J Hoffman, Nicholas M Dotson, Vinicius Lima, Charles M Gray

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Steven J HoffmanDepartment of Cell Biology and Neuroscience, Montana State University, Bozeman, MT 59717, USA.ORCID 0000-0002-4431-9131
Nicholas M DotsonDepartment of Cell Biology and Neuroscience, Montana State University, Bozeman, MT 59717, USA.ORCID 0000-0002-0885-2182
Vinicius LimaAix Marseille Université, INSERM, Systems Neuroscience Institute, Marseille, France.
Charles M GrayDepartment of Cell Biology and Neuroscience, Montana State University, Bozeman, MT 59717, USA.

Funding

Neural circuit theory and trained recurrent network modeling of rapid learningU19NS107609 · NINDS · UNIVERSITY OF WASHINGTON · PI BUFFALO, ELIZABETH A · 2018 to 2022
$12.6M
Distributed Cortical Processing in Visual Working MemoryR01MH081162 · NIMH · MONTANA STATE UNIVERSITY - BOZEMAN · PI BRESSLER, STEVEN L, GRAY, CHARLES M · 2009 to 2015
$1.9M
Prosthetic System for Distributed Neuronal RecordingR01NS059312 · NINDS · MONTANA STATE UNIVERSITY - BOZEMAN · PI GRAY, CHARLES M · 2007 to 2011
$1.4M
Minnesota Neuroimaging Postdoctoral Training GrantT32EB031512 · NIBIB · UNIVERSITY OF MINNESOTA · PI NETOFF, THEODEN I, UGURBIL, KAMIL · 2021 to 2025
$1.1M
NIBIB NIH HHS T32 EB031512NIMH NIH HHS R01 MH081162NINDS NIH HHS R01 NS059312NINDS NIH HHS U19 NS107609
6 · The paper itself

Abstract

Although cognitive functions are hypothesized to be mediated by synchronous neuronal interactions in multiple frequency bands among widely distributed cortical areas, we still lack a basic understanding of the distribution and task dependence of oscillatory activity across the cortical map. Here, we ask how the spectral and temporal properties of the local field potential (LFP) vary across the primate cerebral cortex, and how they are modulated during visual short-term memory. We measured the LFP from 55 cortical areas in two macaque monkeys while they performed a visual delayed match to sample task. Analysis of peak frequencies in the LFP power spectra reveals multiple discrete frequency bands between 3-80 Hz that differ between the two monkeys. The LFP power in each band, as well as the Sample Entropy, a measure of signal complexity, display distinct spatial gradients across the cortex, some of which correlate with reported spine counts in layer 3 pyramidal neurons. Cortical areas can be robustly decoded using a small number of spectral and temporal parameters, and significant task dependent increases and decreases in spectral power occur in all cortical areas. These findings reveal pronounced, widespread and spatially organized gradients in the spectral and temporal activity of cortical areas. Task-dependent changes in cortical activity are globally distributed, even for a simple cognitive task.

Identifiers

PMID38352585
PMCPMC10862751

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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.