Evidence map›Paper›PMID 25379446›Full record

ArticleNeuroImage. Clinical2014

Independent contribution of individual white matter pathways to language function in pediatric epilepsy patients.

Michael J Paldino, Kara Hedges, Wei Zhang

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Article
  10. White matter correlates of the disorganized speech dimension in schizophrenia.European archives of psychiatry and clinical neuroscience · 2018
    Article
  11. Neuroimaging in Epilepsy.Current neurology and neuroscience reports · 2017
    Review
  12. Article
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  14. Article
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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

3 authors.

Michael J PaldinoDepartment of Radiology, Children's Hospital Boston and Harvard Medical School, Boston, MA 02115, USA.
Kara HedgesDepartment of Radiology, Children's Hospital Boston and Harvard Medical School, Boston, MA 02115, USA.
Wei ZhangOutcomes and Impact Service, Texas Children's Hospital, Houston, TX 77030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposePatients with epilepsy and malformations of cortical development (MCDs) are at high risk for language and other cognitive impairment. Specific impairments, however, are not well correlated with the extent and locale of dysplastic cortex; such findings highlight the relevance of aberrant cortico-cortical interactions, or connectivity, to the clinical phenotype. The goal of this study was to determine the independent contribution of well-described white matter pathways to language function in a cohort of pediatric patients with epilepsy. MATERIALS AND

methodsPatients were retrospectively identified from an existing database of pediatric epilepsy patients with the following inclusion criteria: 1. diagnosis of MCDs, 2. DTI performed at 3 T, and 3. language characterized by a pediatric neurologist. Diffusion Toolkit and Trackvis (http://www.trackvis.org) were used for segmentation and analysis of the following tracts: corpus callosum, corticospinal tracts, inferior longitudinal fasciculi (ILFs), inferior fronto-occipital fasciculi (IFOFs), uncinate fasciculi (UFs), and arcuate fasciculi (AFs). Mean diffusivity (MD) and fractional anisotropy (FA) were calculated for each tract. Wilcoxon rank sum test (corrected for multiple comparisons) was used to assess potential differences in tract parameters between language-impaired and language-intact patients. In a separate analysis, a machine learning algorithm (random forest approach) was applied to measure the independent contribution of the measured diffusion parameters for each tract to the clinical phenotype (language impairment). In other words, the importance of each tract parameter was measured after adjusting for the contribution of all other tracts.

resultsThirty-three MCD patients were included (age range: 3-18 years). Twenty-one patients had intact language, twelve had language impairment. All tracts were identified bilaterally in all patients except for the AF, which was not identified on the right in 10 subjects and not identified on the left in 11 subjects. MD and/or FA within the left AF, UF, ILF, and IFOF differed between language-intact and language-impaired groups. However, only parameters related to the left uncinate, inferior fronto-occipital, and arcuate fasciculi were independently associated with the clinical phenotype.

conclusionsScalar metrics derived from the left uncinate, inferior fronto-occipital, and arcuate fasciculi were independently associated with language function. These results support the importance of these pathways in human language function in patients with MCDs.

Indexed as

LanguageAdolescentArtificial IntelligenceBrainChildChild, PreschoolDiffusion Tensor ImagingEpilepsyHumansMagnetic Resonance ImagingMalformations of Cortical DevelopmentNeural PathwaysRetrospective StudiesWhite MatterAF, arcuate fasciculusArcuate fasciculusBA, Broca's areaConnectivityDTI, diffusion tensor imagingDWI, diffusion-weighted imagingEpilepsyFA, fractional anisotropyIFOF, inferior fronto-occipital fasciculusILF, inferior longitudinal fasciculusInferior fronto-occipital fasciculusLanguageMalformations of cortical developmentMCDs, malformations of cortical developmentMD, mean diffusivityTractographyUF, uncinate fasciculusUncinate fasciculusWA, Wernicke's area

Identifiers

PMID25379446
PMCPMC4215459

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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.