Multimodal assessment of language and memory reorganization: a proof of concept in two patients with drug‐resistant temporal lobe epilepsy

Author:

Roger Elise1,Pichat Cédric1,Renard Félix2,Cousin Emilie1,Perrone‐Bertolotti Marcela1,Hot Pascal3,Minotti Lorella4,Job Anne‐Sophie4,Kahane Philippe4,Trebuchon Agnes56,Krainik Alexandre2,Baciu Monica1

Affiliation:

1. Univ. Grenoble Alpes, CNRS LPNC UMR 5105, Grenoble

2. Univ. Grenoble Alpes, Grenoble Institute of Neuroscience Team “Neuroimagerie fonctionnelle et perfusion cérébrale” & UMS IRMaGe CHU Grenoble

3. Univ. Grenoble Alpes, Univ. Savoie Mont‐Blanc, Chambéry

4. Univ. Grenoble Alpes, Grenoble Institute of Neuroscience Team “Synchronisation et modulation des réseaux neuronaux dans l’épilepsie” & Neurology Department, Grenoble

5. Aix‐Marseille Université, Institut des Neurosciences des Systèmes, Marseille

6. APHM, Hôpital de la Timone Service de Neurophysiologie Clinique Marseille France

Abstract

ABSTRACTAims. We report two patients suffering from drug‐resistant temporal lobe epilepsy to show how their neuroplasticity can be apprehended using a multimodal, integrative and clinically relevant approach.Methods. This is a proof of concept based on using multimodal data including: (1) white matter structural connectivity (DTI) of the main tracts involved in language and memory; (2) neurophysiological biomarkers (fMRI‐BOLD signal and LI lateralization indices); and (3) cognitive scores as measured during the neuropsychological assessment. We characterized tri‐modal data for each patient using a descriptive integrative approach, in terms of reorganization and by comparing with a group of healthy participants.Conclusions. This proof of concept suggests that the inclusion of multimodal data in clinical studies is currently a major challenge. Since the various datasets obtained from MRI neuroimaging and cognitive scores are probably interrelated, it is important to go beyond the mono‐modal approach and move towards greater integration of several multimodal data. Multimodal integration of anatomical, functional, and cognitive data facilitates the identification of comprehensive neurocognitive patterns in epileptic patients, thus enabling clinicians to differentiate between reorganization profiles and help to predict post‐surgical outcomes for curative neurosurgery.

Publisher

Wiley

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3