Evidence map›Paper›PMID 27019319›Full record

ArticleBrain connectivity2016

Regional Patterns of Cortical Phase Synchrony in the Resting State.

Kaitlyn Casimo, Felix Darvas, Jeremiah Wander, Andrew Ko, Thomas J Grabowski, Edward Novotny, Andrew Poliakov, Jeffrey G Ojemann, Kurt E Weaver

Abstract read
In one paragraph

Article in Brain connectivity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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
  8. 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

9 authors.

Kaitlyn Casimo1 Graduate Program in Neuroscience, University of Washington , Seattle, Washington.
Felix Darvas2 Department of Neurological Surgery, University of Washington , Seattle, Washington.
Jeremiah Wander3 Department of Bioengineering, University of Washington , Seattle, Washington.
Andrew Ko2 Department of Neurological Surgery, University of Washington , Seattle, Washington.
Thomas J Grabowski5 Department of Radiology, University of Washington , Seattle, Washington.
Edward Novotny8 Department of Neurology, Center for Integrated Brain Research, Seattle Children's Hospital , Seattle, Washington.
Andrew Poliakov9 Department of Radiology, Center for Clinical and Translational Research, Seattle Children's Hospital , Seattle, Washington.
Jeffrey G Ojemann1 Graduate Program in Neuroscience, University of Washington , Seattle, Washington.
Kurt E Weaver1 Graduate Program in Neuroscience, University of Washington , Seattle, Washington.

Funding

Intellectual and Developmental Disabilities Research CenterU54HD083091 · NICHD · UNIVERSITY OF WASHINGTON · PI GURALNICK, MICHAEL J · 2014 to 2019
$7.9M
Training Program in Neural Computation and EngineeringR90DA033461 · NIDA · UNIVERSITY OF WASHINGTON · PI FAIRHALL, ADRIENNE L, SHEA-BROWN, ERIC TODD · 2011 to 2020
$1.9M
NICHD NIH HHS U54 HD083091NIDA NIH HHS R90 DA033461
6 · The paper itself

Abstract

Synchronized phase estimates between oscillating neuronal signals at the macroscale level reflect coordinated activities between neuronal assemblies. Recent electrophysiological evidence suggests the presence of significant spontaneous phase synchrony within the resting state. The purpose of this study was to investigate phase synchrony, including directional interactions, in resting state subdural electrocorticographic recordings to better characterize patterns of regional phase interactions across the lateral cortical surface during the resting state. We estimated spontaneous phase locking value (PLV) as a measure of functional connectivity, and phase slope index (PSI) as a measure of pseudo-causal phase interactions, across a broad range of canonical frequency bands and the modulation of the amplitude envelope of high gamma (amHG), a band that is believed to best reflect the physiological processes giving rise to the functional magnetic resonance imaging BOLD signal. Long-distance interactions had higher PLVs in slower frequencies (≤theta) than in higher ones (≥beta) with amHG behaving more like slow frequencies, and a general trend of increasing frequency band of significant PLVs when moving across the lateral surface along an anterior-posterior axis. Moreover, there was a strong trend of frontal-to-parietal directional phase synchronization, measured by PSI across multiple frequencies. These findings, which are likely indicative of coordinated and structured spontaneous cortical interactions, are important in the study of time scales and directional nature of resting state functional connectivity, and may ultimately contribute to a better understanding of how spontaneous synchrony is linked to variation in regional architecture across the lateral cortical surface.

Indexed as

Brain WavesCortical SynchronizationAdolescentAdultBrain MappingCerebral CortexChildElectrocorticographyFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysYoung Adultfunctional connectivityphase flowphase lockingphase synchronyresting state

Identifiers

PMID27019319
PMCPMC4976227

What OpenQuestion holds

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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.