The white matter connectome as an individualized biomarker of language impairment in Temporal Lobe Epilepsy

Publication date: Available online 13 December 2019Source: NeuroImage: ClinicalAuthor(s): Erik Kaestner, Akshara R. Balachandra, Naeim Bahrami, Anny Reyes, Sanam J. Lalani, Anna Christina Macari, Natalie L. Voets, Daniel L. Drane, Brianna M. Paul, Leonardo Bonilha, Carrie R. McDonaldABSTRACTObjectiveThe distributed white matter network underlying language leads to difficulties in extracting clinically meaningful summaries of neural alterations leading to language impairment. Here we determine the predictive ability of the structural connectome (SC), compared with global measures of white matter tract microstructure and clinical data, to discriminate language impaired patients with temporal lobe epilepsy (TLE) from TLE patients without language impairment.MethodsT1- and diffusion-MRI, clinical variables (CVs), and neuropsychological measures of naming and verbal fluency were available for 82 TLE patients. Prediction of language impairment was performed using a robust tree-based classifier (XGBoost) for three models: 1) a CV-model which included demographic and epilepsy-related clinical features, 2) an atlas-based tract-model, including four frontotemporal white matter association tracts implicated in language (i.e., the bilateral arcuate fasciculus, inferior frontal occipital fasciculus, inferior longitudinal fasciculus, and uncinate fasciculus), and 3) a SC-model based on diffusion MRI. For the association tracts, mean fractional anisotropy was calculated as a measure of whit...
Source: NeuroImage: Clinical - Category: Radiology Source Type: research

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Source: Seizure - Category: Neurology Source Type: research
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Source: Seizure - Category: Neurology Source Type: research
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Source: Epilepsy and Behavior - Category: Neurology Source Type: research
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Source: Epilepsy and Behavior - Category: Neurology Source Type: research
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Source: Epilepsy and Behavior - Category: Neurology Source Type: research
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Source: Brain Stimulation - Category: Neurology Source Type: research
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