Literature DB >> 30281148

Progressive dissociation of cortical and subcortical network development in children with new-onset juvenile myoclonic epilepsy.

Camille Garcia-Ramos1, Kevin Dabbs2, Jack J Lin3, Jana E Jones2, Carl E Stafstrom4, David A Hsu2, Mary Elizabeth Meyerand5, Vivek Prabhakaran1,5,6, Bruce P Hermann1.   

Abstract

OBJECTIVE: Structural and functional magnetic resonance imaging (MRI) studies have consistently documented cortical and subcortical abnormalities in patients with juvenile myoclonic epilepsy (JME). However, little is known about how these structural abnormalities emerge from the time of epilepsy onset and how network interactions between and within cortical and subcortical regions may diverge in youth with JME compared to typically developing children.
METHODS: We examined prospective covariations of volumetric differences derived from high-resolution structural MRI during the first 2 years of epilepsy diagnosis in a group of youth with JME (n = 21) compared to healthy controls (n = 22). We indexed developmental brain changes using graph theory by computing network metrics based on the correlation of the cortical and subcortical structural covariance near the time of epilepsy and 2 years later.
RESULTS: Over 2 years, normally developing children showed modular cortical development and network integration between cortical and subcortical regions. In contrast, children with JME developed a highly correlated and less modular cortical network, which was atypically dissociated from subcortical structures. Furthermore, the JME group also presented higher clustering and lower modularity indices than controls, indicating weaker modules or communities. The local efficiency in JME was higher than controls across the majority of cortical nodes. Regarding network hubs, controls presented a higher number than youth with JME that were spread across the brain with ample representation from the different modules. In contrast, children with JME showed a lower number of hubs that were mainly from one module and comprised mostly subcortical structures. SIGNIFICANCE: Youth with JME prospectively developed a network of highly correlated cortical regions dissociated from subcortical structures during the first 2 years after epilepsy onset. The cortical-subcortical network dissociation provides converging insights into the disparate literature of cortical and subcortical abnormalities found in previous studies. Wiley Periodicals, Inc.
© 2018 International League Against Epilepsy.

Entities:  

Keywords:  MRI; brain volumes; development; graph theory; juvenile myoclonic epilepsy

Mesh:

Year:  2018        PMID: 30281148      PMCID: PMC6334640          DOI: 10.1111/epi.14560

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


  38 in total

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4.  Subthalamic stimulation, oscillatory activity and connectivity reveal functional role of STN and network mechanisms during decision making under conflict.

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5.  Graph-theoretical analysis reveals disrupted small-world organization of cortical thickness correlation networks in temporal lobe epilepsy.

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6.  Juvenile myoclonic epilepsy 25 years after seizure onset: a population-based study.

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Review 7.  Frontal lobe function and structure in juvenile myoclonic epilepsy: a comprehensive review of neuropsychological and imaging data.

Authors:  Britta Wandschneider; Pamela J Thompson; Christian Vollmar; Matthias J Koepp
Journal:  Epilepsia       Date:  2012-10-25       Impact factor: 5.864

8.  Hyperconnectivity in juvenile myoclonic epilepsy: a network analysis.

Authors:  K Caeyenberghs; H W R Powell; R H Thomas; L Brindley; C Church; J Evans; S D Muthukumaraswamy; D K Jones; K Hamandi
Journal:  Neuroimage Clin       Date:  2014-11-27       Impact factor: 4.881

9.  A longitudinal study of the effect of short-term meditation training on functional network organization of the aging brain.

Authors:  Francesca A Cotier; Ruibin Zhang; Tatia M C Lee
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10.  Identification and classification of hubs in brain networks.

Authors:  Olaf Sporns; Christopher J Honey; Rolf Kötter
Journal:  PLoS One       Date:  2007-10-17       Impact factor: 3.240

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Review 2.  Subtle Brain Developmental Abnormalities in the Pathogenesis of Juvenile Myoclonic Epilepsy.

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4.  Network phenotypes and their clinical significance in temporal lobe epilepsy using machine learning applications to morphological and functional graph theory metrics.

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5.  Regional and global resting-state functional MR connectivity in temporal lobe epilepsy: Results from the Epilepsy Connectome Project.

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Journal:  Epilepsy Behav       Date:  2021-02-18       Impact factor: 2.937

  5 in total

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