Cargando…

DTI-based response-driven modeling of mTLE laterality()

PURPOSE: To develop lateralization models for distinguishing between unilateral and bilateral mesial temporal lobe epilepsy (mTLE) and determining laterality in cases of unilateral mTLE. BACKGROUND: mTLE is the most common form of medically refractory focal epilepsy. Many mTLE patients fail to demon...

Descripción completa

Detalles Bibliográficos
Autores principales: Nazem-Zadeh, Mohammad-Reza, Elisevich, Kost, Air, Ellen L., Schwalb, Jason M., Divine, George, Kaur, Manpreet, Wasade, Vibhangini S., Mahmoudi, Fariborz, Shokri, Saeed, Bagher-Ebadian, Hassan, Soltanian-Zadeh, Hamid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4900487/
https://www.ncbi.nlm.nih.gov/pubmed/27330966
http://dx.doi.org/10.1016/j.nicl.2015.10.015
_version_ 1782436642732113920
author Nazem-Zadeh, Mohammad-Reza
Elisevich, Kost
Air, Ellen L.
Schwalb, Jason M.
Divine, George
Kaur, Manpreet
Wasade, Vibhangini S.
Mahmoudi, Fariborz
Shokri, Saeed
Bagher-Ebadian, Hassan
Soltanian-Zadeh, Hamid
author_facet Nazem-Zadeh, Mohammad-Reza
Elisevich, Kost
Air, Ellen L.
Schwalb, Jason M.
Divine, George
Kaur, Manpreet
Wasade, Vibhangini S.
Mahmoudi, Fariborz
Shokri, Saeed
Bagher-Ebadian, Hassan
Soltanian-Zadeh, Hamid
author_sort Nazem-Zadeh, Mohammad-Reza
collection PubMed
description PURPOSE: To develop lateralization models for distinguishing between unilateral and bilateral mesial temporal lobe epilepsy (mTLE) and determining laterality in cases of unilateral mTLE. BACKGROUND: mTLE is the most common form of medically refractory focal epilepsy. Many mTLE patients fail to demonstrate an unambiguous unilateral ictal onset. Intracranial EEG (icEEG) monitoring can be performed to establish whether the ictal origin is unilateral or truly bilateral with independent bitemporal ictal origin. However, because of the expense and risk of intracranial electrode placement, much research has been done to determine if the need for icEEG can be obviated with noninvasive neuroimaging methods, such as diffusion tensor imaging (DTI). METHODS: Fractional anisotropy (FA) was used to quantify microstructural changes reflected in the diffusivity properties of the corpus callosum, cingulum, and fornix, in a retrospective cohort of 31 patients confirmed to have unilateral (n = 24) or bilateral (n = 7) mTLE. All unilateral mTLE patients underwent resection with an Engel class I outcome. Eleven were reported to have hippocampal sclerosis on pathological analysis; nine had undergone prior icEEG. The bilateral mTLE patients had undergone icEEG demonstrating independent epileptiform activity in both right and left hemispheres. Twenty-three nonepileptic subjects were included as controls. RESULTS: In cases of right mTLE, FA showed significant differences from control in all callosal subregions, in both left and right superior cingulate subregions, and in forniceal crura. Comparison of right and left mTLE cases showed significant differences in FA of callosal genu, rostral body, and splenium and the right posteroinferior and superior cingulate subregions. In cases of left mTLE, FA showed significant differences from control only in the callosal isthmus. Significant differences in FA were identified when cases of right mTLE were compared with bilateral mTLE cases in the rostral and midbody callosal subregions and isthmus. Based on 11 FA measurements in the cingulate, callosal and forniceal subregions, a response-driven lateralization model successfully differentiated all cases (n = 54) into groups of unilateral right (n = 12), unilateral left (n = 12), and bilateral mTLE (n = 7), and nonepileptic control (23). CONCLUSION: The proposed response-driven DTI biomarker is intended to lessen diagnostic ambiguity of laterality in cases of mTLE and help optimize selection of surgical candidates. Application of this model shows promise in reducing the need for invasive icEEG in prospective cases.
format Online
Article
Text
id pubmed-4900487
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-49004872016-06-21 DTI-based response-driven modeling of mTLE laterality() Nazem-Zadeh, Mohammad-Reza Elisevich, Kost Air, Ellen L. Schwalb, Jason M. Divine, George Kaur, Manpreet Wasade, Vibhangini S. Mahmoudi, Fariborz Shokri, Saeed Bagher-Ebadian, Hassan Soltanian-Zadeh, Hamid Neuroimage Clin Regular Article PURPOSE: To develop lateralization models for distinguishing between unilateral and bilateral mesial temporal lobe epilepsy (mTLE) and determining laterality in cases of unilateral mTLE. BACKGROUND: mTLE is the most common form of medically refractory focal epilepsy. Many mTLE patients fail to demonstrate an unambiguous unilateral ictal onset. Intracranial EEG (icEEG) monitoring can be performed to establish whether the ictal origin is unilateral or truly bilateral with independent bitemporal ictal origin. However, because of the expense and risk of intracranial electrode placement, much research has been done to determine if the need for icEEG can be obviated with noninvasive neuroimaging methods, such as diffusion tensor imaging (DTI). METHODS: Fractional anisotropy (FA) was used to quantify microstructural changes reflected in the diffusivity properties of the corpus callosum, cingulum, and fornix, in a retrospective cohort of 31 patients confirmed to have unilateral (n = 24) or bilateral (n = 7) mTLE. All unilateral mTLE patients underwent resection with an Engel class I outcome. Eleven were reported to have hippocampal sclerosis on pathological analysis; nine had undergone prior icEEG. The bilateral mTLE patients had undergone icEEG demonstrating independent epileptiform activity in both right and left hemispheres. Twenty-three nonepileptic subjects were included as controls. RESULTS: In cases of right mTLE, FA showed significant differences from control in all callosal subregions, in both left and right superior cingulate subregions, and in forniceal crura. Comparison of right and left mTLE cases showed significant differences in FA of callosal genu, rostral body, and splenium and the right posteroinferior and superior cingulate subregions. In cases of left mTLE, FA showed significant differences from control only in the callosal isthmus. Significant differences in FA were identified when cases of right mTLE were compared with bilateral mTLE cases in the rostral and midbody callosal subregions and isthmus. Based on 11 FA measurements in the cingulate, callosal and forniceal subregions, a response-driven lateralization model successfully differentiated all cases (n = 54) into groups of unilateral right (n = 12), unilateral left (n = 12), and bilateral mTLE (n = 7), and nonepileptic control (23). CONCLUSION: The proposed response-driven DTI biomarker is intended to lessen diagnostic ambiguity of laterality in cases of mTLE and help optimize selection of surgical candidates. Application of this model shows promise in reducing the need for invasive icEEG in prospective cases. Elsevier 2015-10-30 /pmc/articles/PMC4900487/ /pubmed/27330966 http://dx.doi.org/10.1016/j.nicl.2015.10.015 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Nazem-Zadeh, Mohammad-Reza
Elisevich, Kost
Air, Ellen L.
Schwalb, Jason M.
Divine, George
Kaur, Manpreet
Wasade, Vibhangini S.
Mahmoudi, Fariborz
Shokri, Saeed
Bagher-Ebadian, Hassan
Soltanian-Zadeh, Hamid
DTI-based response-driven modeling of mTLE laterality()
title DTI-based response-driven modeling of mTLE laterality()
title_full DTI-based response-driven modeling of mTLE laterality()
title_fullStr DTI-based response-driven modeling of mTLE laterality()
title_full_unstemmed DTI-based response-driven modeling of mTLE laterality()
title_short DTI-based response-driven modeling of mTLE laterality()
title_sort dti-based response-driven modeling of mtle laterality()
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4900487/
https://www.ncbi.nlm.nih.gov/pubmed/27330966
http://dx.doi.org/10.1016/j.nicl.2015.10.015
work_keys_str_mv AT nazemzadehmohammadreza dtibasedresponsedrivenmodelingofmtlelaterality
AT elisevichkost dtibasedresponsedrivenmodelingofmtlelaterality
AT airellenl dtibasedresponsedrivenmodelingofmtlelaterality
AT schwalbjasonm dtibasedresponsedrivenmodelingofmtlelaterality
AT divinegeorge dtibasedresponsedrivenmodelingofmtlelaterality
AT kaurmanpreet dtibasedresponsedrivenmodelingofmtlelaterality
AT wasadevibhanginis dtibasedresponsedrivenmodelingofmtlelaterality
AT mahmoudifariborz dtibasedresponsedrivenmodelingofmtlelaterality
AT shokrisaeed dtibasedresponsedrivenmodelingofmtlelaterality
AT bagherebadianhassan dtibasedresponsedrivenmodelingofmtlelaterality
AT soltanianzadehhamid dtibasedresponsedrivenmodelingofmtlelaterality