Evidence map›Paper›PMID 26509119›Full record

ArticleNeuroImage. Clinical2015

Regional vulnerability of longitudinal cortical association connectivity: Associated with structural network topology alterations in preterm children with cerebral palsy.

Rafael Ceschin, Vince K Lee, Vince Schmithorst, Ashok Panigrahy

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed, 39 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

4 authors at 2 institutions in 1 country.

Rafael CeschinDepartment of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA ; Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Vince K LeeDepartment of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA.
Vince SchmithorstDepartment of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA.
Ashok PanigrahyDepartment of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA ; Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA ; Department of Radiology, Children's Hospital Los Angeles, Los Angeles, CA, USA ; Brain and Creativity Institution, University of Southern California, Los Angeles, CA, USA.
Children's Hospital of Pittsburgh · USUniversity of Southern California · US

Funding

The internship in Biomedical Research, Informatics, and Computer Science (iBRIC): Biomedical Informatics and Data Science research experiences for students from Minority Serving InstitutionsT15LM007059 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRY S HOCHHEISER · 1987 to 2026
$23.9M
THE NEUROANATOMICAL ORGANIZATION OF AUDITORY-RELATED CORTICES IN THE MONKEYP01NS019632 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GRABOWSKI, THOMAS J. · 1985 to 2007
$9.1M
Advanced MR Imaging of Perinatal White Matter InjuryK23NS063371 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PANIGRAHY, ASHOK · 2009 to 2013
$846k
NINDS NIH HHS K23 NS063371NINDS NIH HHS K23NS063371NINDS NIH HHS P01 NS019632NINDS NIH HHS P01NS019632NLM NIH HHS 5T15LM007059-27NLM NIH HHS T15 LM007059
6 · The paper itself

Abstract

Preterm born children with spastic diplegia type of cerebral palsy and white matter injury or periventricular leukomalacia (PVL), are known to have motor, visual and cognitive impairments. Most diffusion tensor imaging (DTI) studies performed in this group have demonstrated widespread abnormalities using averaged deterministic tractography and voxel-based DTI measurements. Little is known about structural network correlates of white matter topography and reorganization in preterm cerebral palsy, despite the availability of new therapies and the need for brain imaging biomarkers. Here, we combined novel post-processing methodology of probabilistic tractography data in this preterm cohort to improve spatial and regional delineation of longitudinal cortical association tract abnormalities using an along-tract approach, and compared these data to structural DTI cortical network topology analysis. DTI images were acquired on 16 preterm children with cerebral palsy (mean age 5.6 ± 4) and 75 healthy controls (mean age 5.7 ± 3.4). Despite mean tract analysis, Tract-Based Spatial Statistics (TBSS) and voxel-based morphometry (VBM) demonstrating diffusely reduced fractional anisotropy (FA) reduction in all white matter tracts, the along-tract analysis improved the detection of regional tract vulnerability. The along-tract map-structural network topology correlates revealed two associations: (1) reduced regional posterior-anterior gradient in FA of the longitudinal visual cortical association tracts (inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, optic radiation, posterior thalamic radiation) correlated with reduced posterior-anterior gradient of intra-regional (nodal efficiency) metrics with relative sparing of frontal and temporal regions; and (2) reduced regional FA within frontal-thalamic-striatal white matter pathways (anterior limb/anterior thalamic radiation, superior longitudinal fasciculus and cortical spinal tract) correlated with alteration in eigenvector centrality, clustering coefficient (inter-regional) and participation co-efficient (inter-modular) alterations of frontal-striatal and fronto-limbic nodes suggesting re-organization of these pathways. Both along tract and structural topology network measurements correlated strongly with motor and visual clinical outcome scores. This study shows the value of combining along-tract analysis and structural network topology in depicting not only selective parietal occipital regional vulnerability but also reorganization of frontal-striatal and frontal-limbic pathways in preterm children with cerebral palsy. These finding also support the concept that widespread, but selective posterior-anterior neural network connectivity alterations in preterm children with cerebral palsy likely contribute to the pathogenesis of neurosensory and cognitive impairment in this group.

Indexed as

Brain MappingInfant, PrematureAdolescentCerebral CortexCerebral PalsyChildChild, PreschoolCohort StudiesDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedInfantLeukomalacia, PeriventricularMaleNeural PathwaysCerebral palsyDiffusion tensor imagingPeriventricular leukomalaciaPrincipal component analysisProbabilistic tractographyVisual cortical association fibers

Identifiers

PMID26509119
PMCPMC4588423
OpenAlexW2126640037

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.