Literature DB >> 28444426

Investigation of altered microstructure in patients with drug refractory epilepsy using diffusion tensor imaging.

Yuwei Jiang1, Lingyan Mao2, Xu Yan1, Mingxia Fan1, Xin Wang2, Jing Ding2, Dongrong Xu3.   

Abstract

PURPOSE: The risk of refractory epilepsy can be more dangerous than the adverse effect caused by medical treatment. In this study, we employed voxel-wise analysis (VWA) and tract-based spatial statistics (TBSS) methods to measure microstructural changes using diffusion tensor imaging (DTI) in patients of drug refractory epilepsy (DRE) who had been epileptic for more than 10 years.
METHODS: To examine the specific microstructural abnormalities in DRE patients and its difference from medically controlled epilepsy (MCE), we acquired DTI data of 7 DRE patients, 37 MCE patients, and 31 healthy controls (HCs) using a 3 T MRI scanner. Comparisons between epileptic patients and HCs between MCE and DRE patients were performed based on calculated diffusion anisotropic indices data using VWA and TBSS.
RESULTS: Compared to HCs, epileptic patients (including MCE and DRE) showed significant DTI changes in the common affected regions based on VWA, whereas TBSS found that widespread DTI changes in parts of microstructures of bilateral hemispheres were more obvious in the DRE patients than that in the MCE patients when compared with HCs. In contrast, significant reduction of fractional anisotropy values of thalamo-cortical fibers, including left superior temporal gyrus, insular cortex, pre-/post-central gyri, and thalamus, were further found in DRE patients compared with MCE.
CONCLUSION: The results of multiple diffusion anisotropic indices data provide complementary information to understand the dysfunction of thalamo-cortical pathway in DRE patients, which may be contributors to disorder of language and motor functions. Our current study may shed light on the pathophysiology of DRE.

Entities:  

Keywords:  Diffusion tensor imaging; Drug refractory epilepsy; Tract-based spatial statistics; Voxel-wise analysis

Mesh:

Year:  2017        PMID: 28444426     DOI: 10.1007/s00234-017-1835-x

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  36 in total

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