Evidence map›Paper›PMID 29755402›Full record

ArticleFrontiers in neurology2018

Default Mode Network Oscillatory Coupling Is Increased Following Concussion.

Benjamin T Dunkley, Karolina Urban, Leodante Da Costa, Simeon M Wong, Elizabeth W Pang, Margot J Taylor

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 46 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Benjamin T DunkleyDepartment of Diagnostic Imaging, The Hospital for Sick Children, Toronto, ON, Canada.
Karolina UrbanHolland-Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Leodante Da CostaDivision of Neurosurgery, Sunnybrook Hospital, Toronto, ON, Canada.
Simeon M WongDepartment of Diagnostic Imaging, The Hospital for Sick Children, Toronto, ON, Canada.
Elizabeth W PangNeurosciences & Mental Health Program, Sick Kids Research Institute, Toronto, ON, Canada.
Margot J TaylorDepartment of Diagnostic Imaging, The Hospital for Sick Children, Toronto, ON, Canada.
Hospital for Sick Children · CAMental Health Research Canada · CAHolland Bloorview Kids Rehabilitation Hospital · CASunnybrook Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Concussion is a common form of mild traumatic brain injury. Despite the descriptor "mild," a single injury can leave long-lasting and sustained alterations to brain function, including changes to localized activity and large-scale interregional communication. Cognitive complaints are thought to arise from such functional deficits. We investigated the impact of injury on neurophysiological and functionally specialized resting networks, known as intrinsic connectivity networks (ICNs), using magnetoencephalography. We assessed neurophysiological connectivity in 40 males, 20 with concussion and 20 without. Regions-of-interest that comprise nodes of ICNs were defined, and their time courses derived using a beamformer approach. Pairwise fluctuations and covariations in band-limited amplitude envelopes were computed reflecting measures of functional connectivity. Intra-network connectivity was compared between groups using permutation testing and correlated with symptoms. We observed

Indexed as

concussionfunctional connectivitymagnetoencephalographymild traumatic brain injuryneural oscillationsresting-statesynchrony

Identifiers

PMID29755402
PMCPMC5932404
OpenAlexW2799889840

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.