Evidence map›Paper›PMID 37584101›Full record

ArticleJournal of neurophysiology2023

High gamma coherence between task-responsive sensory-motor cortical regions in a motor reaction-time task.

Shashank Anand, Hohyun Cho, Markus Adamek, Harold Burton, Daniel Moran, Eric Leuthardt, Peter Brunner

Open access · greenAbstract read
In one paragraph

Article in Journal of neurophysiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
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

7 authors at 1 institution in 1 country.

Shashank AnandDepartment of Biomedical Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri, United States.ORCID 0000-0002-6956-3624
Hohyun ChoDepartment of Neurosurgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri, United States.ORCID 0000-0003-1512-0622
Markus AdamekNational Center for Adaptive Neurotechnologies, St. Louis, Missouri, United States.
Harold BurtonDepartment of Neuroscience, Washington University in St. Louis School of Medicine, St. Louis, Missouri, United States.
Daniel MoranDepartment of Biomedical Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri, United States.ORCID 0000-0002-7503-565X
Eric LeuthardtDepartment of Biomedical Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri, United States.
Peter BrunnerDepartment of Biomedical Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri, United States.ORCID 0000-0002-2588-2754
Washington University in St. Louis · US

Funding

Training and DisseminationP41EB018783 · NIBIB · WADSWORTH CENTER · PI Theresa M. Vaughan · 2014 to 2026
$15.4M
An Ecosystem of Technology and Protocols for Adaptive Neuromodulation Research in HumansU01NS128612 · NINDS · MAYO CLINIC ROCHESTER · PI Peter Brunner, Kai Miller · 2022 to 2026
$4.5M
Development of a Micro-ECoG Neuroprosthesis for Motor Rehabilitation in a Chronic Corticospinal Stroke InjuryR01NS101013 · NINDS · WASHINGTON UNIVERSITY · PI LEUTHARDT, ERIC CLAUDE, MORAN, DANIEL WILLIAM · 2018 to 2022
$2.9M
BCI2000: Software Resource for Adaptive Neurotechnology ResearchU24NS109103 · NINDS · WASHINGTON UNIVERSITY · PI BRUNNER, PETER · 2019 to 2024
$2.8M
Interdisciplinary Training in Cognitive, Computational and Systems Neuroscience (CCSN)T32NS115672 · NINDS · WASHINGTON UNIVERSITY · PI TODD S BRAVER, Camillo Padoa-Schioppa · 2020 to 2026
$1.8M
BCI2000+: A Software Platform for Adaptive NeurotechnologiesR01EB026439 · NIBIB · WASHINGTON UNIVERSITY · PI BRUNNER, PETER · 2018 to 2022
$1.5M
Dynamics and Causal Functions of Large-Scale Cortical and Subcortical NetworksU01NS108916 · NINDS · WADSWORTH CENTER · PI WOLPAW, JONATHAN RICKEL · 2018 to 2019
$1.4M
Optimizing Pharmacotherapy with Noninvasive Wearable Sensors and Subscalp EEGUH3NS123066 · NINDS · MAYO CLINIC ROCHESTER · PI Benjamin H Brinkmann, Gregory A Worrell · 2025 to 2026
$1.4M
Translational Neuroscience and Neurotechnology Training (TNNT)T32NS126157 · NINDS · WASHINGTON UNIVERSITY · PI Daniel William Moran · 2022 to 2026
$776k
Functional connectivity associated with motor recovery after internal capsule lesionsF31NS124104 · NINDS · WASHINGTON UNIVERSITY · PI ANAND, SHASHANK AMIT · 2022 to 2023
$94k
NIBIB NIH HHS P41 EB018783NIBIB NIH HHS R01 EB026439NINDS NIH HHS F31 NS124104NINDS NIH HHS R01 NS101013NINDS NIH HHS T32 NS115672NINDS NIH HHS T32 NS126157NINDS NIH HHS U01 NS108916NINDS NIH HHS U01 NS128612NINDS NIH HHS U24 NS109103NINDS NIH HHS UH3 NS123066
6 · The paper itself

Abstract

Electrical activity at high gamma frequencies (70-170 Hz) is thought to reflect the activity of small cortical ensembles. For example, high gamma activity (often quantified by spectral power) can increase in sensory-motor cortex in response to sensory stimuli or movement. On the other hand, synchrony of neural activity between cortical areas (often quantified by coherence) has been hypothesized as an important mechanism for inter-areal communication, thereby serving functional roles in cognition and behavior. Currently, high gamma activity has primarily been studied as a local amplitude phenomenon. We investigated the synchronization of high gamma activity within sensory-motor cortex and the extent to which underlying high gamma activity can explain coherence during motor tasks. We characterized high gamma coherence in sensory-motor networks and the relationship between coherence and power by analyzing electrocorticography (ECoG) data from human subjects as they performed a motor response to sensory cues. We found greatly increased high gamma coherence during the motor response compared with the sensory cue. High gamma power poorly predicted high gamma coherence, but the two shared a similar time course. However, high gamma coherence persisted longer than high gamma power. The results of this study suggest that high gamma coherence is a physiologically distinct phenomenon during a sensory-motor task, the emergence of which may require active task participation.

Indexed as

ElectroencephalographySensorimotor CortexCognitionElectrocorticographyHumansMovementcoherenceelectrocorticographyhigh gamma activitymotor cortexsensory cortex

Identifiers

PMID37584101
PMCPMC10648945
OpenAlexW4385850372

What OpenQuestion holds

Textmetadata
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.