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  Remodeling of brain morphology in temporal lobe epilepsy

Roggenhofer, E., Muller, S., Santarnecchi, E., Melie‐Garcia, L., Wiest, R., Kherif, F., & Draganski, B. (2020). Remodeling of brain morphology in temporal lobe epilepsy. Brain and Behavior, 10(11):. doi:10.1002/brb3.1825.

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アイテムのパーマリンク: https://hdl.handle.net/21.11116/0000-0007-17F9-7 版のパーマリンク: https://hdl.handle.net/21.11116/0000-000D-F2C0-8
資料種別: 学術論文

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Roggenhofer_2020.pdf (出版社版), 2MB
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https://hdl.handle.net/21.11116/0000-0007-17FB-5
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Roggenhofer_2020.pdf
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Gold
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公開
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application/pdf / [MD5]
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CCライセンス:
https://creativecommons.org/licenses/by/4.0/

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作成者

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 作成者:
Roggenhofer, Elisabeth1, 2, 著者
Muller, Sandrine2, 著者
Santarnecchi, Emiliano3, 4, 著者
Melie‐Garcia, Lester2, 5, 著者
Wiest, Roland6, 著者
Kherif, Ferath2, 著者
Draganski, Bogdan2, 7, 著者           
所属:
1Department of Neurology, University Hospital of Geneva, Switzerland, ou_persistent22              
2Département des Neurosciences Cliniques, Laboratoire de Recherche en Neuroimagerie (LREN), Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
3Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA, ou_persistent22              
4Siena Brain Investigation & Neuromodulation Lab, Department of Medicine, Surgery and Neuroscience, University of Siena, Italy, ou_persistent22              
5Applied Signal Processing Group, Swiss Federal Institute of Technology, Zurich, Switzerland, ou_persistent22              
6Support Center for Advanced Neuroimaging (SCAN), Institute for Diagnostic and Interventional Neuroradiology, University Hospital Bern, Switzerland, ou_persistent22              
7Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

内容説明

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キーワード: BMS; Bayesian model selection; MVB; Computational anatomy; Hippocampus; Magnetic resonance imaging; Multivariate Bayesian modeling; Temporal lobe epilepsy
 要旨:
Background: Mesial temporal lobe epilepsy (TLE) is one of the most widespread neurological network disorders. Computational anatomy MRI studies demonstrate a robust pattern of cortical volume loss. Most statistical analyses provide information about localization of significant focal differences in a segregationist way. Multivariate Bayesian modeling provides a framework allowing inferences about inter-regional dependencies. We adopt this approach to answer following questions: Which structures within a pattern of dynamic epilepsy-associated brain anatomy reorganization best predict TLE pathology. Do these structures differ between TLE subtypes?
Methods: We acquire clinical and MRI data from TLE patients with and without hippocampus sclerosis (n = 128) additional to healthy volunteers (n = 120). MRI data were analyzed in the computational anatomy framework of SPM12 using classical mass-univariate analysis followed by multivariate Bayesian modeling.
Results: After obtaining TLE-associated brain anatomy pattern, we estimate predictive power for disease and TLE subtypes using Bayesian model selection and comparison. We show that ipsilateral para-/hippocampal regions contribute most to disease-related differences between TLE and healthy controls independent of TLE laterality and subtype. Prefrontal cortical changes are more discriminative for left-sided TLE, whereas thalamus and temporal pole for right-sided TLE. The presence of hippocampus sclerosis was linked to stronger involvement of thalamus and temporal lobe regions; frontoparietal involvement was predominant in absence of sclerosis.
Conclusions: Our topology inferences on brain anatomy demonstrate a differential contribution of structures within limbic and extralimbic circuits linked to main effects of TLE and hippocampal sclerosis. We interpret our results as evidence for TLE-related spatial modulation of anatomical networks.

資料詳細

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言語: eng - English
 日付: 2020-08-102020-04-272019-08-142020-09-172020-11
 出版の状態: 出版
 ページ: -
 出版情報: -
 目次: -
 査読: -
 識別子（DOI, ISBNなど）: DOI: 10.1002/brb3.1825
その他: epub 2020
PMID: 32945137
 学位: -

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Project information

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Project name : -
Grant ID : 32003B_135679; 32003B_159780; SPUM 33CM30_140332/1; 324730_192755; CRSK‐3_190185
Funding program : -
Funding organization : Swiss National Science Foundation (SNSF)
Project name : Horizon2020
Grant ID : 871643
Funding program : -
Funding organization : European Union
Project name : Seventh Framework Programme
Grant ID : 604102
Funding program : (FP7/2007‐2013)
Funding organization : European Union

出版物 1

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出版物名: Brain and Behavior
  省略形 : Brain Behav
種別: 学術雑誌
 著者・編者:
所属:
出版社, 出版地: Hoboken, NJ : John Wiley & Sons
ページ: - 巻号: 10 (11) 通巻号: e01825 開始・終了ページ: - 識別子（ISBN, ISSN, DOIなど）: ISSN: 2162-3279 (e-only)
CoNE: https://pure.mpg.de/cone/journals/resource/2162-3279