Evidence map›Paper›PMID 30886202›Full record

ArticleScientific reports2019

Human electrocortical dynamics while stepping over obstacles.

Andrew D Nordin, W David Hairston, Daniel P Ferris

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
8.7field-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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 116 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Wrinkle-Adaptive Kirigami Wearables With Anisotropic Deformability for Sleep EEG Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  10. Exploring the Consistent Roles of Motor Areas Across Voluntary Movement and Locomotion.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2025
    Review
  11. Article
  12. Brain Connectivity During Walking and Obstacle Avoidance in Persons With Multiple Sclerosis and Healthy Controls: A Pilot EEG Study.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
  13. Review
  14. Article
  15. Observational
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1 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Andrew D NordinJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, USA. andrew.nordin@bme.ufl.edu.
W David HairstonHuman Research and Engineering Directorate, U.S. Army Research Laboratory, Aberdeen Proving Ground, USA.
Daniel P FerrisJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, USA.
University of Florida · USDEVCOM Army Research Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To better understand human brain dynamics during visually guided locomotion, we developed a method of removing motion artifacts from mobile electroencephalography (EEG) and studied human subjects walking and running over obstacles on a treadmill. We constructed a novel dual-layer EEG electrode system to isolate electrocortical signals, and then validated the system using an electrical head phantom and robotic motion platform. We collected data from young healthy subjects walking and running on a treadmill while they encountered unexpected obstacles to step over. Supplementary motor area and premotor cortex had spectral power increases within ~200 ms after object appearance in delta, theta, and alpha frequency bands (3-13 Hz). That activity was followed by similar posterior parietal cortex spectral power increase that decreased in lag time with increasing locomotion speed. The sequence of activation suggests that supplementary motor area and premotor cortex interrupted the gait cycle, while posterior parietal cortex tracked obstacle location for planning foot placement nearly two steps ahead of reaching the obstacle. Together, these results highlight advantages of adopting dual-layer mobile EEG, which should greatly facilitate the study of human brain dynamics in physically active real-world settings and tasks.

Indexed as

ArtifactsBrain MappingElectrodesElectroencephalographyExercise TestFemaleGaitHealthy VolunteersHumansLocomotionMaleMotor CortexParietal LobeRoboticsWalking

Identifiers

PMID30886202
PMCPMC6423113
OpenAlexW2922239801

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.