ArticleNeuroImage. Clinical2014
Independent contribution of individual white matter pathways to language function in pediatric epilepsy patients.
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.
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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.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multivariate analyses applied to fetal, neonatal and pediatric MRI of neurodevelopmental disorders.NeuroImage. Clinical · 2015Pooled it
- Structural networking of the developing brain: from maturation to neurosurgical implications.Frontiers in neuroanatomy · 2023Review
- Understanding Language Reorganization With Neuroimaging: How Language Adapts to Different Focal Lesions and Insights Into Clinical Applications.Frontiers in human neuroscience · 2022Review
- Longitudinal changes in the inferior cerebellar peduncle and lower limb motor recovery following subcortical infarction.BMC neurology · 2021Article
- Clinical Application of Machine Learning Models for Brain Imaging in Epilepsy: A Review.Frontiers in neuroscience · 2021Review
- Utility of MRI, PET, and ictal SPECT in presurgical evaluation of non-lesional pediatric epilepsy.Seizure · 2020Review
- Distinguishing Focal Cortical Dysplasia From Glioneuronal Tumors in Patients With Epilepsy by Machine Learning.Frontiers in neurology · 2020Article
- Machine learning applications in epilepsy.Epilepsia · 2019Review
- Thalamocortical Connections and Executive Function in Pediatric Temporal and Frontal Lobe Epilepsy.AJNR. American journal of neuroradiology · 2018Article
- White matter correlates of the disorganized speech dimension in schizophrenia.European archives of psychiatry and clinical neuroscience · 2018Article
- Neuroimaging in Epilepsy.Current neurology and neuroscience reports · 2017Review
- Brain Network Architecture and Global Intelligence in Children with Focal Epilepsy.AJNR. American journal of neuroradiology · 2017Article
- Metrics of brain network architecture capture the impact of disease in children with epilepsy.NeuroImage. Clinical · 2017Article
- Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study.NeuroImage · 2016Article
- The Arcuate Fasciculus and Language Development in a Cohort of Pediatric Patients with Malformations of Cortical Development.AJNR. American journal of neuroradiology · 2016Article
- Artificial Intelligence Applications in the Imaging of Epilepsy and Its Comorbidities: Present and Future.Epilepsy currentsArticle
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3 authors.
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No grant is acknowledged in the PubMed record.
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.
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