American Journal of Neuroradiology · 2020 · 17 citations · 32 references
MedicineNeurologyNeuroscienceCognitive NeuroscienceEpilepsyEpileptologyBrain ConnectivityConnectomicsCortical NetworksNeuroimaging In EpilepsyStructural EpilepsiesTemporal Lobe FunctionsEpileptogenic LesionsFunctional Brain ConnectivityLanguage FunctionLanguage Network ConnectivityLanguage Network LesionsNonlesional EpilepsyTask-based Activation MappingTask-based Functional Connectivity
BACKGROUND AND PURPOSE: Temporal lobe epilepsy, structural or nonlesional, may negatively affect language function. However, little is known about the lesion-specific influence on language networks. We hypothesized that different epileptogenic lesions are related to distinct alterations in the functional language connectome detected by fMRI. MATERIALS AND METHODS: One hundred one patients with epilepsy due to mesiotemporal sclerosis (21 left, 22 right), low-grade mesiotemporal tumors (12 left), or nonlesional temporal lobe epilepsy (22 left, 24 right) and 22 healthy subjects performed 3T task-based language fMRI. Task-based activation maps (laterality indices) and functional connectivity analysis (global and connectivity strengths between language areas) were correlated with language scores. RESULTS: = .01) across all groups. CONCLUSIONS: Different pathologies underlying temporal lobe epilepsy are related to distinct alterations of the functional language connectome visualized by fMRI functional connectivity analysis. Network analysis allows new insights into language organization and provides possible imaging biomarkers for language function. These imaging findings emphasize the importance of a personalized treatment strategy in patients with epilepsy.
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A component based noise correction method (CompCor) for BOLD and perfusion based fMRI
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