Evidence map›Paper›PMID 27408795›Full record

ArticleNeuroImage. Clinical

Connectome-scale assessment of structural and functional connectivity in mild traumatic brain injury at the acute stage.

Armin Iraji, Hanbo Chen, Natalie Wiseman, Tuo Zhang, Robert Welch, Brian O'Neil, Andrew Kulek, Syed Imran Ayaz, Xiao Wang, Conor Zuk and 3 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 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

13 authors at 2 institutions in 2 countries.

Armin IrajiDepartment of Biomedical Engineering, Wayne State University, Detroit, MI, USA.
Hanbo ChenDepartment of Computer Science, University of Georgia, Athens, GA, USA.
Natalie WisemanDepartment of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.
Tuo ZhangDepartment of Computer Science, University of Georgia, Athens, GA, USA; School of Automation, Northwestern Polytechnic University, Xi'an, Shaanxi, China.
Robert WelchDepartment of Emergency Medicine, Wayne State University, Detroit, MI, USA.
Brian O'NeilDepartment of Emergency Medicine, Wayne State University, Detroit, MI, USA.
Andrew KulekDepartment of Emergency Medicine, Wayne State University, Detroit, MI, USA.
Syed Imran AyazDepartment of Emergency Medicine, Wayne State University, Detroit, MI, USA.
Xiao WangDepartment of Radiology, Wayne State University, Detroit, MI, USA; First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China.
Conor ZukDepartment of Radiology, Wayne State University, Detroit, MI, USA.
E Mark HaackeDepartment of Biomedical Engineering, Wayne State University, Detroit, MI, USA; Department of Radiology, Wayne State University, Detroit, MI, USA.
Tianming LiuDepartment of Computer Science, University of Georgia, Athens, GA, USA.
Zhifeng KouDepartment of Biomedical Engineering, Wayne State University, Detroit, MI, USA; Department of Radiology, Wayne State University, Detroit, MI, USA.
Wayne State University · USUniversity of Georgia · US

Funding

Assessing Brain Tissue Viability after TBI: A Susceptibility Mapping ApproachR21NS090153 · NINDS · WAYNE STATE UNIVERSITY · PI HAACKE, EWART MARK, KOU, ZHIFENG · 2015 to 2016
$422k
Susceptibility Mapping of Cerebral Metabolism in Traumatic Brain InjuryF30HD084144 · NICHD · WAYNE STATE UNIVERSITY · PI WISEMAN, NATALIE · 2015 to 2018
$160k
NICHD NIH HHS F30 HD084144NINDS NIH HHS R21 NS090153
6 · The paper itself

Abstract

Mild traumatic brain injury (mTBI) accounts for over one million emergency visits each year in the United States. The large-scale structural and functional network connectivity changes of mTBI are still unknown. This study was designed to determine the connectome-scale brain network connectivity changes in mTBI at both structural and functional levels. 40 mTBI patients at the acute stage and 50 healthy controls were recruited. A novel approach called Dense Individualized and Common Connectivity-based Cortical Landmarks (DICCCOLs) was applied for connectome-scale analysis of both diffusion tensor imaging and resting state functional MRI data. Among 358 networks identified on DICCCOL analysis, 41 networks were identified as structurally discrepant between patient and control groups. The involved major white matter tracts include the corpus callosum, and superior and inferior longitudinal fasciculi. Functional connectivity analysis identified 60 connectomic signatures that differentiate patients from controls with 93.75% sensitivity and 100% specificity. Analysis of functional domains showed decreased intra-network connectivity within the emotion network and among emotion-cognition interactions, and increased interactions among action-emotion and action-cognition as well as within perception networks. This work suggests that mTBI may result in changes of structural and functional connectivity on a connectome scale at the acute stage.

Indexed as

Brain connectivityBrain connectomeMagnetic resonance imagingNeuroimagingTraumatic brain injury

Identifiers

PMID27408795
PMCPMC4932612
OpenAlexW2439749367

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.