Structural network topology in limbic encephalitis is associated with amygdala enlargement, memory performance and serostatus.
Adult
Aged
Amygdala
/ diagnostic imaging
Autoantibodies
/ blood
Biomarkers
/ blood
Cohort Studies
Epilepsy
/ blood
Female
Glutamate Decarboxylase
/ blood
Humans
Hypertrophy
Intracellular Signaling Peptides and Proteins
/ blood
Limbic Encephalitis
/ blood
Male
Memory Disorders
/ blood
Middle Aged
Nerve Net
/ diagnostic imaging
brain graph
limbic encephalitis
structural connectivity
temporal lobe epilepsy
Journal
Epilepsia
ISSN: 1528-1167
Titre abrégé: Epilepsia
Pays: United States
ID NLM: 2983306R
Informations de publication
Date de publication:
10 2020
10 2020
Historique:
received:
29
06
2020
revised:
14
08
2020
accepted:
19
08
2020
pubmed:
18
9
2020
medline:
4
2
2021
entrez:
17
9
2020
Statut:
ppublish
Résumé
Limbic encephalitis (LE) forms a spectrum of autoimmune diseases involving temporal lobe epilepsy and memory impairment. Imaging features of LE are known to depend on the associated antibody and to occur on the brain network level. However, first studies investigating brain networks in LE have either focused on one distinct antibody subgroup or on distinct anatomical regions. In this study, brain graphs of 17 LE patients with autoantibodies against glutamic acid decarboxylase 65 (GAD-LE), four LE patients with autoantibodies against leucine-rich glioma-inactivated 1, five LE patients with autoantibodies against contactin-associated protein-like 2, 26 age- and gender-matched healthy control subjects, and 20 epilepsy control patients with hippocampal sclerosis were constructed based on T1-weighted structural magnetic resonance imaging scans and diffusion tensor imaging. GAD-LE showed significantly altered global network topology in terms of integration and segregation as compared to healthy controls and patients with hippocampal sclerosis (P < .01, analysis of variance with Tukey-Kramer post hoc tests). Linear regression linked global network measures with amygdala volume and verbal memory performance (P < .05). Alterations of local network topology show serotype dependence in hippocampus, amygdala, insula, and various cortical regions. Our findings reveal serotype-dependent patterns of structural connectivity and prove the relevance of in silico network measures on clinical grounds.
Substances chimiques
Autoantibodies
0
Biomarkers
0
Intracellular Signaling Peptides and Proteins
0
LGI1 protein, human
0
Glutamate Decarboxylase
EC 4.1.1.15
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e140-e145Subventions
Organisme : BONFOR research commission of the medical faculty of the University of Bonn
ID : 2019-4-07
Pays : International
Organisme : Verein zur Förderung der Epilepsieforschung
Pays : International
Organisme : Else Kröner-Fresenius-Stiftung
ID : 2016-S2-05
Pays : International
Organisme : Else Kröner-Fresenius-Stiftung
ID : 2018-S2-01
Pays : International
Organisme : "BonnNi Promotionskolleg Neuroimmunology" of the University of Bonn
ID : 2016-S2-05
Pays : International
Organisme : "BonnNi Promotionskolleg Neuroimmunology" of the University of Bonn
ID : 2018-S2-01
Pays : International
Informations de copyright
© 2020 The Authors. Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.
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