Evidence map›Paper›PMID 26406479›Full record

ArticleHuman brain mapping2015

Coding complexity in the human motor circuit.

Elizabeth Heinrichs-Graham, Tony W Wilson

Abstract read
In one paragraph

Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Trial
  2. Review
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  5. Gamma activation spread reflects disease activity in amyotrophic lateral sclerosis.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    Article
  6. Article
  7. Motor-Related Neural Dynamics are Modulated by Regular Cannabis Use Among People with HIV.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2025
    Article
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9 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

2 authors.

Elizabeth Heinrichs-GrahamDepartment of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center (UNMC), Omaha, Nebraska.
Tony W WilsonDepartment of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center (UNMC), Omaha, Nebraska.

Funding

Neurophysiological markers of HAND and the impact of aging: Evidence from MEGR01MH103220 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WILSON, TONY W · 2014 to 2018
$2.5M
NIMH NIH HHS R01 MH103220NIMH NIH HHS R01MH103220
6 · The paper itself

Abstract

Cortical oscillatory dynamics are known to be critical for human movement, although their functional significance remains unclear. In particular, there is a strong beta (15-30 Hz) desynchronization that begins before movement onset and continues during movement, before rebounding after movement termination. Several studies have connected this response to motor planning and/or movement selection operations, but to date such studies have examined only the early aspects of the response (i.e., before movement) and a limited number of parameters. In this study, we used magnetoencephalography (MEG) and a novel motor sequence paradigm to probe how motor plan complexity modulates peri-movement beta oscillations, and connectivity within activated circuits. We also examined the dynamics by imaging beta activity before and during movement execution and extracting virtual sensors from key regions. We found stronger beta desynchronization during complex relative to simple sequences in the right parietal and left dorsolateral prefrontal cortex (DLPFC) during movement execution. There was also an increase in functional connectivity between the left DLPFC and right parietal shortly after movement onset during complex but not simple sequences, which produced a significant conditional effect (i.e., complex > simple) that was not attributable to differences in response amplitude. This study is the first to demonstrate that complexity modulates the dynamics of the peri-movement beta ERD, which provides crucial new data on the functional role of this well-known oscillatory motor response. These data further suggest that execution of complex motor behavior may recruit key regions of the fronto-parietal network, in addition to traditional sensorimotor regions.

Indexed as

AdultAfferent PathwaysElectroencephalographyEvoked Potentials, MotorFunctional LateralityHumansMagnetic Resonance ImagingMagnetoencephalographyMaleMotor CortexMovementReaction TimeTime FactorsYoung AdultbetaDLPFCmagnetoencephalographyMEGmovementoscillationsparietal

Identifiers

PMID26406479
PMCPMC4715608

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Read underepoch 390

Registered trials

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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.