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Independent contribution of individual white matter pathways to language function in pediatric epilepsy patients.
Neuroimage Clin. 2014; 6:327-32.NC

Abstract

BACKGROUND AND PURPOSE

Patients 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 METHODS

Patients 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.

RESULTS

Thirty-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.

CONCLUSIONS

Scalar 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.

Authors+Show Affiliations

Department of Radiology, Children's Hospital Boston and Harvard Medical School, Boston, MA 02115, USA.Department of Radiology, Children's Hospital Boston and Harvard Medical School, Boston, MA 02115, USA.Outcomes and Impact Service, Texas Children's Hospital, Houston, TX 77030, USA.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

25379446

Citation

Paldino, Michael J., et al. "Independent Contribution of Individual White Matter Pathways to Language Function in Pediatric Epilepsy Patients." NeuroImage. Clinical, vol. 6, 2014, pp. 327-32.
Paldino MJ, Hedges K, Zhang W. Independent contribution of individual white matter pathways to language function in pediatric epilepsy patients. Neuroimage Clin. 2014;6:327-32.
Paldino, M. J., Hedges, K., & Zhang, W. (2014). Independent contribution of individual white matter pathways to language function in pediatric epilepsy patients. NeuroImage. Clinical, 6, 327-32. https://doi.org/10.1016/j.nicl.2014.09.017
Paldino MJ, Hedges K, Zhang W. Independent Contribution of Individual White Matter Pathways to Language Function in Pediatric Epilepsy Patients. Neuroimage Clin. 2014;6:327-32. PubMed PMID: 25379446.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Independent contribution of individual white matter pathways to language function in pediatric epilepsy patients. AU - Paldino,Michael J, AU - Hedges,Kara, AU - Zhang,Wei, Y1 - 2014/09/30/ PY - 2014/06/17/received PY - 2014/09/22/revised PY - 2014/09/26/accepted PY - 2014/11/8/entrez PY - 2014/11/8/pubmed PY - 2015/7/8/medline KW - AF, arcuate fasciculus KW - Arcuate fasciculus KW - BA, Broca's area KW - Connectivity KW - DTI, diffusion tensor imaging KW - DWI, diffusion-weighted imaging KW - Epilepsy KW - FA, fractional anisotropy KW - IFOF, inferior fronto-occipital fasciculus KW - ILF, inferior longitudinal fasciculus KW - Inferior fronto-occipital fasciculus KW - Language KW - MCDs, malformations of cortical development KW - MD, mean diffusivity KW - Malformations of cortical development KW - Tractography KW - UF, uncinate fasciculus KW - Uncinate fasciculus KW - WA, Wernicke's area SP - 327 EP - 32 JF - NeuroImage. Clinical JO - Neuroimage Clin VL - 6 N2 - BACKGROUND AND PURPOSE: Patients 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 METHODS: Patients 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. RESULTS: Thirty-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. CONCLUSIONS: Scalar 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. SN - 2213-1582 UR - https://www.unboundmedicine.com/medline/citation/25379446/Independent_contribution_of_individual_white_matter_pathways_to_language_function_in_pediatric_epilepsy_patients_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S2213-1582(14)00153-3 DB - PRIME DP - Unbound Medicine ER -