Evidence map›Paper›PMID 39744611›Full record

ArticleNeurotrauma reports2024

Brain Network Alterations in Chronic Spinal Cord Injury: Multilayer Community Detection Approach.

Farzad V Farahani, Lukman E Ismaila, Cristina L Sadowsky, Haris I Sair, Li Min Chen, Visar Belegu, James J Pekar, Martin A Lindquist, Ann S Choe

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurotrauma reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Farzad V FarahaniDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Lukman E IsmailaRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Cristina L SadowskyInternational Center for Spinal Cord Injury at Kennedy Krieger Institute, Baltimore, Maryland, USA.
Haris I SairRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Li Min ChenVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, USA.
Visar BeleguInternational Center for Spinal Cord Injury at Kennedy Krieger Institute, Baltimore, Maryland, USA.
James J PekarRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Martin A LindquistDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Ann S ChoeRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

Funding

TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
Individualized spatial topology in functional neuroimagingR01EB026549 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Abhirup Datta, Martin Lindquist · 2018 to 2026
$4.5M
Personalized spatiotemporal hemodynamic response models for functional magnetic resonance imagingR01MH129397 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Martin Lindquist, TOR D. WAGER · 2022 to 2026
$3.8M
Cortical functional connectivity as an early biomarker of recovery in spinal cord injuryR21NS104644 · NINDS · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI CHOE, ANN S · 2018 to 2020
$525k
NIBIB NIH HHS P41 EB015909NIBIB NIH HHS R01 EB026549NIMH NIH HHS R01 MH129397NINDS NIH HHS R21 NS104644
6 · The paper itself

Abstract

Neurological recovery in individuals with spinal cord injury (SCI) is multifaceted, involving mechanisms such as remyelination and perilesional spinal neuroplasticity, with cortical reorganization being one contributing factor. Cortical reorganization, in particular, can be evaluated through network (graph) analysis of interregional functional connectivity. This study aimed to investigate cortical reorganization patterns in persons with chronic SCI using a multilayer community detection approach on resting-state functional MRI data. Thirty-eight participants with chronic cervical or thoracic SCI and 32 matched healthy controls were examined. Significant alterations in brain community structures were observed in the SCI cohort, particularly within the sensorimotor network (SMN). Importantly, this revealed a pattern of segregation within the SMN, aligning with borders of representations of the upper and lower body and orofacial regions. The SCI cohort showed reduced recruitment and integration coefficients across multiple brain networks, indicating impaired internetwork communication that may underlie sensory and motor deficits in persons with SCI. These findings highlight the impact of SCI on brain connectivity and suggest potential compensatory mechanisms.

Indexed as

cortical reorganizationfunctional connectivitygraph theorymesoscalers-fMRIspinal cord injury

Identifiers

PMID39744611
PMCPMC11685503

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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.