Evidence map›Paper›PMID 27200264›Full record

ArticleNeuroImage. Clinical2016

The application of a mathematical model linking structural and functional connectomes in severe brain injury.

A Kuceyeski, S Shah, J P Dyke, S Bickel, F Abdelnour, N D Schiff, H U Voss, A Raj

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Review
  3. Structure-function coupling in highly sampled individual brains.Cerebral cortex (New York, N.Y. : 1991) · 2024
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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

8 authors.

A KuceyeskiDepartment of Radiology, Weill Cornell Medical College, 1300 York Ave., New York, NY 10065, United States; The Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, 1300 York Ave., New York, NY 10065, United States. Electronic address: amk2012@med.cornell.edu.
S ShahDepartment of Neurology, Weill Cornell Medical College, 1300 York Ave., New York, NY 10065, United States.
J P DykeDepartment of Radiology, Weill Cornell Medical College, 1300 York Ave., New York, NY 10065, United States; Citigroup Biomedical Imaging Center, 516 East 72nd St., New York, NY 10021, United States.
S BickelDepartment of Neurology, Albert Einstein College of Medicine, 1300 Morris Ave., Bronx, NY 10461, United States.
F AbdelnourDepartment of Radiology, Weill Cornell Medical College, 1300 York Ave., New York, NY 10065, United States.
N D SchiffDepartment of Neurology, Weill Cornell Medical College, 1300 York Ave., New York, NY 10065, United States.
H U VossDepartment of Radiology, Weill Cornell Medical College, 1300 York Ave., New York, NY 10065, United States; Citigroup Biomedical Imaging Center, 516 East 72nd St., New York, NY 10021, United States.
A RajDepartment of Radiology, Weill Cornell Medical College, 1300 York Ave., New York, NY 10065, United States; The Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, 1300 York Ave., New York, NY 10065, United States.

Funding

TRAINING AND DISSEMINATIONP41RR023953 · NCRR · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI WEINER, MICHAEL W · 2008 to 2011
$6.0M
Mechanisms of recovery following severe brain injuryR01HD051912 · NICHD · WEILL MEDICAL COLL OF CORNELL UNIV · PI SCHIFF, NICHOLAS D · 2008 to 2012
$2.1M
Multimodal modeling framework for fusing structural and functional connectome dataR01EB022717 · NIBIB · WEILL MEDICAL COLL OF CORNELL UNIV · PI NAGARAJAN, SRIKANTAN S., RAJ, ASHISH · 2016 to 2018
$1.6M
A Novel Network Diffusion Model for Alzheimer's And Other Neurodegenerative DiseaR01NS075425 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI RAJ, ASHISH · 2011 to 2014
$1.3M
NCRR NIH HHS P41 RR023953NIBIB NIH HHS R01 EB022717NICHD NIH HHS R01 HD051912NINDS NIH HHS R01 NS075425
6 · The paper itself

Abstract

Following severe injuries that result in disorders of consciousness, recovery can occur over many months or years post-injury. While post-injury synaptogenesis, axonal sprouting and functional reorganization are known to occur, the network-level processes underlying recovery are poorly understood. Here, we test a network-level functional rerouting hypothesis in recovery of patients with disorders of consciousness following severe brain injury. This hypothesis states that the brain recovers from injury by restoring normal functional connections via alternate structural pathways that circumvent impaired white matter connections. The so-called network diffusion model, which relates an individual's structural and functional connectomes by assuming that functional activation diffuses along structural pathways, is used here to capture this functional rerouting. We jointly examined functional and structural connectomes extracted from MRIs of 12 healthy and 16 brain-injured subjects. Connectome properties were quantified via graph theoretic measures and network diffusion model parameters. While a few graph metrics showed groupwise differences, they did not correlate with patients' level of consciousness as measured by the Coma Recovery Scale - Revised. There was, however, a strong and significant partial Pearson's correlation (accounting for age and years post-injury) between level of consciousness and network diffusion model propagation time (r = 0.76, p < 0.05, corrected), i.e. the time functional activation spends traversing the structural network. We concluded that functional rerouting via alternate (and less efficient) pathways leads to increases in network diffusion model propagation time. Simulations of injury and recovery in healthy connectomes confirmed these results. This work establishes the feasibility for using the network diffusion model to capture network-level mechanisms in recovery of consciousness after severe brain injury.

Indexed as

Brain MappingConnectomeModels, TheoreticalNeural PathwaysAdultBrain InjuriesFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedOxygenYoung AdultOxygenConnectomicsDisorders of consciousnessNetwork analysisNetwork diffusion modelNeuroimaging

Identifiers

PMID27200264
PMCPMC4864323

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.