Evidence map›Paper›PMID 28981644›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2018

Electrocorticographic Encoding of Human Gait in the Leg Primary Motor Cortex.

Colin M McCrimmon, Po T Wang, Payam Heydari, Angelica Nguyen, Susan J Shaw, Hui Gong, Luis A Chui, Charles Y Liu, Zoran Nenadic, An H Do

Open access · bronzeAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

33 citing papers in PubMed, 59 citations in OpenAlex.

  1. Trial
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  4. Macroscale Gradient-Informed Neural Oscillation Topography in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
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  15. A Neurosurgical Functional Dissection of the Middle Precentral Gyrus during Speech Production.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Review
  16. Review
  17. 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

10 authors at 3 institutions in 1 country.

Colin M McCrimmonDepartment of Biomedical Engineering, University of California Irvine, Irvine, CA, USA.
Po T WangDepartment of Biomedical Engineering, University of California Irvine, Irvine, CA, USA.
Payam HeydariDepartment of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, USA.
Angelica NguyenElectrophysiology Lab, Rancho Los Amigos National Rehabilitation Center, Downey, CA, USA.
Susan J ShawDepartment of Neurology, Rancho Los Amigos National Rehabilitation Center, Downey, CA, USA.
Hui GongDepartment of Neurology, Rancho Los Amigos National Rehabilitation Center, Downey, CA, USA.
Luis A ChuiDepartment of Neurology, University of California Irvine, Irvine, CA, USA.
Charles Y LiuDepartment of Neurosurgery, Rancho Los Amigos National Rehabilitation Center, Downey, CA, USA.
Zoran NenadicDepartment of Biomedical Engineering, University of California Irvine, Irvine, CA, USA.
An H DoDepartment of Neurology, University of California Irvine, Irvine, CA, USA.
University of California, Irvine · USRancho Los Amigos National Rehabilitation Center · USUniversity of Southern California · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008620 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI GOLDIN, ALAN L · 1999 to 2023
$8.1M
NIGMS NIH HHS T32 GM008620
6 · The paper itself

Abstract

While prior noninvasive (e.g., electroencephalographic) studies suggest that the human primary motor cortex (M1) is active during gait processes, the limitations of noninvasive recordings make it impossible to determine whether M1 is involved in high-level motor control (e.g., obstacle avoidance, walking speed), low-level motor control (e.g., coordinated muscle activation), or only nonmotor processes (e.g., integrating/relaying sensory information). This study represents the first invasive electroneurophysiological characterization of the human leg M1 during walking. Two subjects with an electrocorticographic grid over the interhemispheric M1 area were recruited. Both exhibited generalized γ-band (40-200 Hz) synchronization across M1 during treadmill walking, as well as periodic γ-band changes within each stride (across multiple walking speeds). Additionally, these changes appeared to be of motor, rather than sensory, origin. However, M1 activity during walking shared few features with M1 activity during individual leg muscle movements, and was not highly correlated with lower limb trajectories on a single channel basis. These findings suggest that M1 primarily encodes high-level gait motor control (i.e., walking duration and speed) instead of the low-level patterns of leg muscle activation or movement trajectories. Therefore, M1 likely interacts with subcortical/spinal networks, which are responsible for low-level motor control, to produce normal human walking.

Indexed as

ElectrocorticographyAdultBrain MappingBrain WavesFemaleGaitHumansImage Processing, Computer-AssistedLegMagnetic Resonance ImagingMaleMotor CortexMovementWalking

Identifiers

PMID28981644
PMCPMC6248549
OpenAlexW2734455047

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.