J 2017

Large-scale cortico-subcortical functional networks in focal epilepsies: The role of the basal ganglia

VÝTVAROVÁ, Eva, Radek MAREČEK, Jan FOUSEK, Ondřej STRÝČEK, Ivan REKTOR et. al.

Basic information

Original name

Large-scale cortico-subcortical functional networks in focal epilepsies: The role of the basal ganglia

Authors

VÝTVAROVÁ, Eva (203 Czech Republic, belonging to the institution), Radek MAREČEK (203 Czech Republic, belonging to the institution), Jan FOUSEK (203 Czech Republic, belonging to the institution), Ondřej STRÝČEK (203 Czech Republic, belonging to the institution) and Ivan REKTOR (203 Czech Republic, guarantor, belonging to the institution)

Edition

NeuroImage-Clinical, Oxford, Elsevier BV, 2017, 2213-1582

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30103 Neurosciences

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 3.869

RIV identification code

RIV/00216224:14740/17:00094611

Organization unit

Central European Institute of Technology

UT WoS

000405984300003

Keywords in English

Functional magnetic resonance imaging; Functional connectivity; Epilepsy; Network analysis; Partial least square analysis

Tags

Tags

International impact, Reviewed
Změněno: 26/4/2018 12:49, Mgr. Pavla Foltynová, Ph.D.

Abstract

V originále

Objectives: The aimwas to describe the contribution of basal ganglia (BG) thalamo-cortical circuitry to thewholebrain functional connectivity in focal epilepsies. Methods: Interictal resting-state fMRI recordings were acquired in 46 persons with focal epilepsies. Of these 46, 22 had temporal lobe epilepsy: 9 left temporal (LTLE), 13 right temporal (RTLE); 15 had frontal lobe epilepsy (FLE); and 9 had parietal/ occipital lobe epilepsy (POLE). There were 20 healthy controls. The completeweighted networkwas analyzed based on correlation matrices of 90 and 194 regions. The network topologywas quantified on a global and regional level by measures based on graph theory, and connection-level changes were analyzed by the partial least square method. Results: In all patient groups except RTLE, the shift of the functional network topology away from random was observed (normalized clustering coefficient and characteristic path length were higher in patient groups than in controls). Links contributing to this change were found in the cortico-subcortical connections. Weak connections (low correlations) consistently contributed to thismodification of the network. The importance of regions changed: decreases in the subcortical areas and both decreases and increases in the cortical areas were observed in node strength, clustering coefficient and eigenvector centrality in patient groups when compared to controls. Node strength decreases of the basal ganglia, i.e. the putamen, caudate, and pallidum, were displayed in LTLE, FLE, and POLE. The connectivity within the basal ganglia-thalamus circuitry was not disturbed; the disturbance concerned the connectivity between the circuitry and the cortex. Significance: Focal epilepsies affect large-scale brain networks beyond the epileptogenic zones. Cortico-subcortical functional connectivity disturbance was displayed in LTLE, FLE, and POLE. Significant changes in the restingstate functional connectivity between cortical and subcortical structures suggest an important role of the BG and thalamus in focal epilepsies.

Links

GAP103/11/0933, research and development project
Name: Analýza vysokofrekvenčního EEG signálu z hlubokých mozkových elektrod
Investor: Czech Science Foundation
LM2010005, research and development project
Name: Velká infrastruktura CESNET (Acronym: VI CESNET)
Investor: Ministry of Education, Youth and Sports of the CR
LQ1601, research and development project
Name: CEITEC 2020 (Acronym: CEITEC2020)
Investor: Ministry of Education, Youth and Sports of the CR
MUNI/A/0897/2016, interní kód MU
Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VI.
Investor: Masaryk University, Category A
MUNI/A/0945/2015, interní kód MU
Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace V.
Investor: Masaryk University, Category A