Literature DB >> 19560403

Neuroanatomical correlates of cognitive phenotypes in temporal lobe epilepsy.

Kevin Dabbs1, Jana Jones, Michael Seidenberg, Bruce Hermann.   

Abstract

OBJECTIVE: Previous research characterized three cognitive phenotypes in temporal lobe epilepsy, each associated with a different profile of clinical seizure and demographic characteristics, total cerebral (gray, white, cerebrospinal fluid) and hippocampal volumes, and prospective cognitive trajectories. The objective of this investigation was to characterize in detail the specific neuroanatomical abnormalities associated with each cognitive phenotype.
METHODS: High-resolution MRI scans of healthy controls (n=53) and patients with temporal lobe epilepsy (n=55), grouped by cognitive phenotype (minimally impaired; memory impaired; memory, executive function, and speed impaired), were examined with respect to patterns of gray matter thickness throughout the cortical mantle, as well as volumes of subcortical structures, corpus callosum, and regions of the cerebellum.
RESULTS: Increasing abnormalities in temporal and extratemporal cortical thickness, volumes of subcortical structures (hippocampus, thalamus, basal ganglia), all regions of the corpus callosum, and bilateral cerebellar gray matter distinguish the cognitive phenotypes in a generally stepwise fashion. The most intact anatomy is observed in the minimally impaired epilepsy group and the most abnormal anatomy is evident in the epilepsy group with impairments in memory, executive function, and speed.
CONCLUSION: Empirically derived cognitive phenotypes are associated with the presence, severity, and distribution of anatomic abnormalities in widely distributed cortical, subcortical, callosal, and cerebellar networks.

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Year:  2009        PMID: 19560403      PMCID: PMC2758317          DOI: 10.1016/j.yebeh.2009.05.012

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  43 in total

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  36 in total

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3.  Graph Theory Analysis of Functional Connectivity Combined with Machine Learning Approaches Demonstrates Widespread Network Differences and Predicts Clinical Variables in Temporal Lobe Epilepsy.

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4.  Brain structure and aging in chronic temporal lobe epilepsy.

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5.  Children with epilepsy and anxiety: Subcortical and cortical differences.

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6.  Identifying the neural basis of a language-impaired phenotype of temporal lobe epilepsy.

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7.  Prefrontal lobe structural integrity and trail making test, part B: converging findings from surface-based cortical thickness and voxel-based lesion symptom analyses.

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Review 8.  What does diffusion tensor imaging (DTI) tell us about cognitive networks in temporal lobe epilepsy?

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9.  Cortical thickness in childhood left focal epilepsy: Thinning beyond the seizure focus.

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Journal:  Epilepsy Behav       Date:  2016-07-18       Impact factor: 2.937

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