Evidence map›Paper›PMID 27541829›Full record

ArticlePLoS computational biology2016

Cortico-Cortical Interactions during Acquisition and Use of a Neuroprosthetic Skill.

Jeremiah D Wander, Devapratim Sarma, Lise A Johnson, Eberhard E Fetz, Rajesh P N Rao, Jeffrey G Ojemann, Felix Darvas

Abstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. BCI Use and Its Relation to Adaptation in Cortical Networks.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2017
    Review
  5. Review
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.

Jeremiah D WanderDepartment of Bioengineering, University of Washington, Seattle, Washington, United States of America.
Devapratim SarmaDepartment of Bioengineering, University of Washington, Seattle, Washington, United States of America.
Lise A JohnsonDepartment of Neurological Surgery, University of Washington, Seattle, Washington, United States of America.
Eberhard E FetzDepartment of Physiology and Biophysics, University of Washington, Seattle, Washington, United States of America.
Rajesh P N RaoDepartment of Computer Science and Engineering, University of Washington, Seattle, Washington, United States of America.
Jeffrey G OjemannDepartment of Neurological Surgery, University of Washington, Seattle, Washington, United States of America.
Felix DarvasDepartment of Neurological Surgery, University of Washington, Seattle, Washington, United States of America.

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
NEURAL CONTROL OF MUSCLE ACTIVITYR01NS012542 · NINDS · UNIVERSITY OF WASHINGTON · PI FETZ, EBERHARD E, PERLMUTTER, STEVE I · 1985 to 2022
$8.7M
NEURAL CONTROL OF MUSCLE ACTIVITYR37NS012542 · NINDS · UNIVERSITY OF WASHINGTON · PI FETZ, EBERHARD E · 2006 to 2012
$4.5M
Electrocorticography signals for human hand prostheticsR01NS065186 · NINDS · UNIVERSITY OF WASHINGTON · PI OJEMANN, JEFFREY G · 2010 to 2014
$1.6M
NIH HHS P51 OD010425NINDS NIH HHS R01 NS012542NINDS NIH HHS R01 NS065186NINDS NIH HHS R37 NS012542
6 · The paper itself

Abstract

A motor cortex-based brain-computer interface (BCI) creates a novel real world output directly from cortical activity. Use of a BCI has been demonstrated to be a learned skill that involves recruitment of neural populations that are directly linked to BCI control as well as those that are not. The nature of interactions between these populations, however, remains largely unknown. Here, we employed a data-driven approach to assess the interaction between both local and remote cortical areas during the use of an electrocorticographic BCI, a method which allows direct sampling of cortical surface potentials. Comparing the area controlling the BCI with remote areas, we evaluated relationships between the amplitude envelopes of band limited powers as well as non-linear phase-phase interactions. We found amplitude-amplitude interactions in the high gamma (HG, 70-150 Hz) range that were primarily located in the posterior portion of the frontal lobe, near the controlling site, and non-linear phase-phase interactions involving multiple frequencies (cross-frequency coupling between 8-11 Hz and 70-90 Hz) taking place over larger cortical distances. Further, strength of the amplitude-amplitude interactions decreased with time, whereas the phase-phase interactions did not. These findings suggest multiple modes of cortical communication taking place during BCI use that are specialized for function and depend on interaction distance.

Indexed as

Brain-Computer InterfacesAdolescentAdultChildComputational BiologyElectrocorticographyFemaleHumansLearningMaleMiddle AgedModels, NeurologicalMotor CortexNerve NetTask Performance and AnalysisYoung Adult

Identifiers

PMID27541829
PMCPMC4991818

What OpenQuestion holds

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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.