Literature DB >> 26890734

Altered directed functional connectivity in temporal lobe epilepsy in the absence of interictal spikes: A high density EEG study.

Ana Coito1, Melanie Genetti1, Francesca Pittau2, Giannina R Iannotti1, Aljoscha Thomschewski3, Yvonne Höller3, Eugen Trinka3, Roland Wiest4, Margitta Seeck2, Christoph M Michel1, Gijs Plomp1,5, Serge Vulliemoz2.   

Abstract

OBJECTIVE: In patients with epilepsy, seizure relapse and behavioral impairments can be observed despite the absence of interictal epileptiform discharges (IEDs). Therefore, the characterization of pathologic networks when IEDs are not present could have an important clinical value. Using Granger-causal modeling, we investigated whether directed functional connectivity was altered in electroencephalography (EEG) epochs free of IED in left and right temporal lobe epilepsy (LTLE and RTLE) compared to healthy controls.
METHODS: Twenty LTLE, 20 RTLE, and 20 healthy controls underwent a resting-state high-density EEG recording. Source activity was obtained for 82 regions of interest (ROIs) using an individual head model and a distributed linear inverse solution. Granger-causal modeling was applied to the source signals of all ROIs. The directed functional connectivity results were compared between groups and correlated with clinical parameters (duration of the disease, age of onset, age, and learning and mood impairments).
RESULTS: We found that: (1) patients had significantly reduced connectivity from regions concordant with the default-mode network; (2) there was a different network pattern in patients versus controls: the strongest connections arose from the ipsilateral hippocampus in patients and from the posterior cingulate cortex in controls; (3) longer disease duration was associated with lower driving from contralateral and ipsilateral mediolimbic regions in RTLE; (4) aging was associated with a lower driving from regions in or close to the piriform cortex only in patients; and (5) outflow from the anterior cingulate cortex was lower in patients with learning deficits or depression compared to patients without impairments and to controls. SIGNIFICANCE: Resting-state network reorganization in the absence of IEDs strengthens the view of chronic and progressive network changes in TLE. These resting-state connectivity alterations could constitute an important biomarker of TLE, and hold promise for using EEG recordings without IEDs for diagnosis or prognosis of this disorder. Wiley Periodicals, Inc.
© 2016 International League Against Epilepsy.

Entities:  

Keywords:  Directed functional connectivity; Electrical source imaging; High-density EEG; Resting-state; Temporal lobe epilepsy

Mesh:

Year:  2016        PMID: 26890734     DOI: 10.1111/epi.13308

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


  32 in total

1.  Directed functional connections underlying spontaneous brain activity.

Authors:  Ana Coito; Christoph M Michel; Serge Vulliemoz; Gijs Plomp
Journal:  Hum Brain Mapp       Date:  2018-10-27       Impact factor: 5.038

2.  Noninvasive Electromagnetic Source Imaging and Granger Causality Analysis: An Electrophysiological Connectome (eConnectome) Approach.

Authors:  Abbas Sohrabpour; Shuai Ye; Gregory A Worrell; Wenbo Zhang; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2016-10-11       Impact factor: 4.538

3.  Electrophysiological Brain Connectivity: Theory and Implementation.

Authors:  Bin He; Laura Astolfi; Pedro A Valdes-Sosa; Daniele Marinazzo; Satu Palva; Christian G Benar; Christoph M Michel; Thomas Koenig
Journal:  IEEE Trans Biomed Eng       Date:  2019-05-07       Impact factor: 4.538

4.  Vagus Nerve Stimulation Elicits Sleep EEG Desynchronization and Network Changes in Responder Patients in Epilepsy.

Authors:  Simone Vespa; Jolan Heyse; Lars Stumpp; Giulia Liberati; Susana Ferrao Santos; Herbert Rooijakkers; Antoine Nonclercq; André Mouraux; Pieter van Mierlo; Riëm El Tahry
Journal:  Neurotherapeutics       Date:  2021-10-19       Impact factor: 6.088

Review 5.  Localizing the Epileptogenic Zone with Novel Biomarkers.

Authors:  Christos Papadelis; M Scott Perry
Journal:  Semin Pediatr Neurol       Date:  2021-08-20       Impact factor: 3.042

6.  Effect of interictal epileptiform discharges on EEG-based functional connectivity networks.

Authors:  Derek K Hu; Andrew Mower; Daniel W Shrey; Beth A Lopour
Journal:  Clin Neurophysiol       Date:  2020-03-04       Impact factor: 3.708

7.  Dynamic functional connectivity in temporal lobe epilepsy: a graph theoretical and machine learning approach.

Authors:  Alireza Fallahi; Mohammad Pooyan; Nastaran Lotfi; Fatemeh Baniasad; Leili Tapak; Neda Mohammadi-Mobarakeh; Seyed Sohrab Hashemi-Fesharaki; Jafar Mehvari-Habibabadi; Mohammad Reza Ay; Mohammad-Reza Nazem-Zadeh
Journal:  Neurol Sci       Date:  2020-10-14       Impact factor: 3.307

8.  Resection of high frequency oscillations predicts seizure outcome in the individual patient.

Authors:  Tommaso Fedele; Sergey Burnos; Ece Boran; Niklaus Krayenbühl; Peter Hilfiker; Thomas Grunwald; Johannes Sarnthein
Journal:  Sci Rep       Date:  2017-10-23       Impact factor: 4.379

9.  Highly consistent temporal lobe interictal spike networks revealed from foramen ovale electrodes.

Authors:  Biswajit Maharathi; James Patton; Anna Serafini; Konstantin Slavin; Jeffrey A Loeb
Journal:  Clin Neurophysiol       Date:  2021-07-06       Impact factor: 4.861

10.  Reliability of EEG Interactions Differs between Measures and Is Specific for Neurological Diseases.

Authors:  Yvonne Höller; Kevin Butz; Aljoscha Thomschewski; Elisabeth Schmid; Andreas Uhl; Arne C Bathke; Georg Zimmermann; Santino O Tomasi; Raffaele Nardone; Wolfgang Staffen; Peter Höller; Markus Leitinger; Julia Höfler; Gudrun Kalss; Alexandra C Taylor; Giorgi Kuchukhidze; Eugen Trinka
Journal:  Front Hum Neurosci       Date:  2017-07-05       Impact factor: 3.169

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