Literature DB >> 23011408

Neuronal networks in west syndrome as revealed by source analysis and renormalized partial directed coherence.

Natia Japaridze1, Muthuraman Muthuraman, Friederike Moeller, Rainer Boor, Abdul Rauf Anwar, Günther Deuschl, Urlich Stephani, Jan Raethjen, Michael Siniatchkin.   

Abstract

West syndrome is a severe epileptic encephalopathy of infancy with a poor developmental outcome. This syndrome is associated with the pathognomonic EEG feature of hypsarrhythmia. The aim of the study was to describe neuronal networks underlying hypsarrhythmia using the source analysis method (dynamic imaging of coherent sources or DICS) which represents an inverse solution algorithm in the frequency domain. In order to investigate the interaction within the detected network, a renormalized partial directed coherence (RPDC) method was also applied as a measure of the directionality of information flow between the source signals. Both DICS and RPDC were performed for EEG delta activity (1-4 Hz) in eight patients with West syndrome and in eight patients with partial epilepsies (control group). The brain area with the strongest power in the given frequency range was defined as the reference region. The coherence between this reference region and the entire brain was computed using DICS. After that, the RPDC was applied to the source signals estimated by DICS. The results of electrical source imaging were compared to results of a previous EEG-fMRI study which had been carried out using the same cohort of patients. As revealed by DICS, delta activity in hypsarrhythmia was associated with coherent sources in the occipital cortex (main source) as well as the parietal cortex, putamen, caudate nucleus and brainstem. In patients with partial epilepsies, delta activity could be attributed to sources in the occipital, parietal and sensory-motor cortex. In West syndrome, RPDC showed the strongest and most significant direction of ascending information flow from the brainstem towards the putamen and cerebral cortex. The neuronal network underlying hypsarrhythmia in this study resembles the network which was described in previous EEG-fMRI and PET studies with involvement of the brainstem, putamen and cortical regions in the generation of hypsarrhythmia. The RPDC suggests that brainstem could have a key role in the pathogenesis of West syndrome. This study supports the theory that hypsarrhythmia results from ascending brainstem pathways that project widely to basal ganglia and cerebral cortex.

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Year:  2012        PMID: 23011408     DOI: 10.1007/s10548-012-0245-y

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  12 in total

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Journal:  Epilepsy Res       Date:  2019-12-09       Impact factor: 3.045

2.  Association between long non-coding RNA and human rare diseases (Review).

Authors:  Jin-Hua He; Ze-Ping Han; Yu-Guang Li
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3.  Strength and stability of EEG functional connectivity predict treatment response in infants with epileptic spasms.

Authors:  Daniel W Shrey; Olivia Kim McManus; Rajsekar Rajaraman; Hernando Ombao; Shaun A Hussain; Beth A Lopour
Journal:  Clin Neurophysiol       Date:  2018-08-04       Impact factor: 3.708

4.  Integration of multiscale entropy and BASED scale of electroencephalography after adrenocorticotropic hormone therapy predict relapse of infantile spasms.

Authors:  Lin Wan; Chu-Ting Zhang; Gang Zhu; Jian Chen; Xiu-Yu Shi; Jing Wang; Li-Ping Zou; Bo Zhang; Wen-Bin Shi; Chien-Hung Yeh; Guang Yang
Journal:  World J Pediatr       Date:  2022-07-29       Impact factor: 9.186

Review 5.  Imaging Genetics in Epilepsy: Current Knowledge and New Perspectives.

Authors:  Ge Wang; Wenyue Wu; Yuchen Xu; Zhuanyi Yang; Bo Xiao; Lili Long
Journal:  Front Mol Neurosci       Date:  2022-05-30       Impact factor: 6.261

6.  Long-Range Temporal Correlations Reflect Treatment Response in the Electroencephalogram of Patients with Infantile Spasms.

Authors:  Rachel J Smith; Amanda Sugijoto; Neggy Rismanchi; Shaun A Hussain; Daniel W Shrey; Beth A Lopour
Journal:  Brain Topogr       Date:  2017-09-13       Impact factor: 3.020

7.  Neuronal Networks during Burst Suppression as Revealed by Source Analysis.

Authors:  Natia Japaridze; Muthuraman Muthuraman; Christine Reinicke; Friederike Moeller; Abdul Rauf Anwar; Kidist Gebremariam Mideksa; Ronit Pressler; Günther Deuschl; Ulrich Stephani; Michael Siniatchkin
Journal:  PLoS One       Date:  2015-04-30       Impact factor: 3.240

8.  Network dynamics in the healthy and epileptic developing brain.

Authors:  Richard Rosch; Torsten Baldeweg; Friederike Moeller; Gerold Baier
Journal:  Netw Neurosci       Date:  2018-03-01

9.  Dynamic imaging of coherent sources reveals different network connectivity underlying the generation and perpetuation of epileptic seizures.

Authors:  Lydia Elshoff; Muthuraman Muthuraman; Abdul Rauf Anwar; Günther Deuschl; Ulrich Stephani; Jan Raethjen; Michael Siniatchkin
Journal:  PLoS One       Date:  2013-10-23       Impact factor: 3.240

10.  EEG-MEG Integration Enhances the Characterization of Functional and Effective Connectivity in the Resting State Network.

Authors:  Muthuraman Muthuraman; Vera Moliadze; Kidist Gebremariam Mideksa; Abdul Rauf Anwar; Ulrich Stephani; Günther Deuschl; Christine M Freitag; Michael Siniatchkin
Journal:  PLoS One       Date:  2015-10-28       Impact factor: 3.240

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