Literature DB >> 20412283

How common is brain atrophy in patients with medial temporal lobe epilepsy?

Leonardo Bonilha1, Jordan J Elm, Jonathan C Edwards, Paul S Morgan, Christian Hicks, Carl Lozar, Zoran Rumboldt, Donna R Roberts, Chris Rorden, Mark A Eckert.   

Abstract

PURPOSE: It is unclear whether extrahippocampal brain damage in patients with medial temporal lobe epilepsy (MTLE) is a homogeneous phenomenon, as most data relates to the average volume reduction in groups of patients. This study aimed to evaluate where and how much atrophy is to be expected in an individual patient with MTLE.
METHODS: High-resolution T(1) magnetic resonance imaging (MRI) was obtained from 23 consecutive patients with unilateral MTLE and from a matched control group. Parametric tests of voxel-based gray matter volume evaluated mean regional atrophy in MTLE compared with controls. Gray matter images were then submitted to a voxel by voxel calculation of the fitted receiver operating characteristic (ROC) curve area, plotting the sensitivity versus 1-specificity for a binary classifier (MTLE vs. controls). The area under the curve (AUC) was calculated for each voxel and a resulting three-dimensional map of gray matter voxel-wise AUCs was obtained.
RESULTS: On average, patients with MTLE showed atrophy in the ipsilateral hippocampus and on a limbic network. Elevated AUC was demonstrated in the ipsilateral hippocampus and medial temporal lobe, the ipsilateral thalamus and occipitotemporal cortex, the ipsilateral cerebellum, the cingulate, the contralateral insula, and the occipitoparietal and dorsolateral prefrontal cortex.
CONCLUSION: This study suggests that the medial temporal lobe, occipitotemporal areas, the cerebellum, the cingulate cortex, the ipsilateral insula, and thalamus are more likely to be atrophied in randomly selected patients with MTLE. Structures such as the orbitofrontal cortex, the contralateral medial temporal areas and insula, the putamen, and the caudate may be atrophied, but not as consistently. Wiley Periodicals, Inc.
© 2010 International League Against Epilepsy.

Entities:  

Mesh:

Year:  2010        PMID: 20412283     DOI: 10.1111/j.1528-1167.2010.02576.x

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  21 in total

1.  Voxel-Based Morphometry-from Hype to Hope. A Study on Hippocampal Atrophy in Mesial Temporal Lobe Epilepsy.

Authors:  F Riederer; R Seiger; R Lanzenberger; E Pataraia; G Kasprian; L Michels; J Beiersdorf; S Kollias; T Czech; J Hainfellner; C Baumgartner
Journal:  AJNR Am J Neuroradiol       Date:  2020-06       Impact factor: 3.825

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

Authors:  Kevin Dabbs; Tara Becker; Jana Jones; Paul Rutecki; Michael Seidenberg; Bruce Hermann
Journal:  Epilepsia       Date:  2012-04-03       Impact factor: 5.864

Review 3.  Resting state networks in temporal lobe epilepsy.

Authors:  Mauro Cataldi; Massimo Avoli; Etienne de Villers-Sidani
Journal:  Epilepsia       Date:  2013-10-10       Impact factor: 5.864

4.  Temporal and extratemporal atrophic manifestation of temporal lobe epilepsy using voxel-based morphometry and corticometry: clinical application in lateralization of epileptogenic zone.

Authors:  Majdi Jber; Jafar Mehvari Habibabadi; Roya Sharifpour; Hengameh Marzbani; Masoud Hassanpour; Milad Seyfi; Neda Mohammadi Mobarakeh; Ahmedreza Keihani; Seyed Sohrab Hashemi-Fesharaki; Mohammadreza Ay; Mohammad-Reza Nazem-Zadeh
Journal:  Neurol Sci       Date:  2021-01-03       Impact factor: 3.307

5.  Increased Expression of Brain-Derived Neurotrophic Factor Transcripts I and VI, cAMP Response Element Binding, and Glucocorticoid Receptor in the Cortex of Patients with Temporal Lobe Epilepsy.

Authors:  G A Martínez-Levy; L Rocha; F Rodríguez-Pineda; M A Alonso-Vanegas; A Nani; R M Buentello-García; M Briones-Velasco; D San-Juan; J Cienfuegos; C S Cruz-Fuentes
Journal:  Mol Neurobiol       Date:  2017-05-19       Impact factor: 5.590

6.  Quantitative analysis of structural neuroimaging of mesial temporal lobe epilepsy.

Authors:  Negar Memarian; Paul M Thompson; Jerome Engel; Richard J Staba
Journal:  Imaging Med       Date:  2013-06-01

7.  Functional networks in temporal-lobe epilepsy: a voxel-wise study of resting-state functional connectivity and gray-matter concentration.

Authors:  Martha J Holmes; Xue Yang; Bennett A Landman; Zhaohua Ding; Hakmook Kang; Bassel Abou-Khalil; Hasan H Sonmezturk; John C Gore; Victoria L Morgan
Journal:  Brain Connect       Date:  2013-01-30

8.  Temporal Lobe Epilepsy Surgical Outcomes Can Be Inferred Based on Structural Connectome Hubs: A Machine Learning Study.

Authors:  Ezequiel Gleichgerrcht; Simon S Keller; Daniel L Drane; Brent C Munsell; Kathryn A Davis; Erik Kaestner; Bernd Weber; Samantha Krantz; William A Vandergrift; Jonathan C Edwards; Carrie R McDonald; Ruben Kuzniecky; Leonardo Bonilha
Journal:  Ann Neurol       Date:  2020-09-10       Impact factor: 10.422

Review 9.  The role of APOE-ɛ4 and beta amyloid in the differential rate of recovery from ECT: a review.

Authors:  T A Sutton; H R Sohrabi; S R Rainey-Smith; S M Bird; M Weinborn; R N Martins
Journal:  Transl Psychiatry       Date:  2015-03-31       Impact factor: 6.222

10.  Structural connectivity changes in temporal lobe epilepsy: Spatial features contribute more than topological measures.

Authors:  Peter N Taylor; Cheol E Han; Jan-Christoph Schoene-Bake; Bernd Weber; Marcus Kaiser
Journal:  Neuroimage Clin       Date:  2015-02-20       Impact factor: 4.881

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