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001-es BibID:BIBFORM062626
Első szerző:Clemens Béla (neurológus)
Cím:Increased resting-state EEG functional connectivity in benign childhood epilepsy with centro-temporal spikes / Béla Clemens, Szilvia Puskás, Tamás Spisák, Imre Lajtos, Gábor Opposits, Mónika Besenyei, Katalin Hollódy, András Fogarasi, Noémi Zsuzsanna Kovács, István Fekete, Miklós Emri
Dátum:2016
ISSN:1059-1311
Megjegyzések:Purpose: To explore intrahemispheric, cortico-cortical EEG functional connectivity (EEGfC) in benignchildhood epilepsy with rolandic spikes (BECTS).Methods: 21-channel EEG was recorded in 17 non-medicated BECTS children and 19 healthy controls.180 s of spike- and artifact-free activity was selected for EEGfC analysis. Correlation of Low ResolutionElectromagnetic Tomography- (LORETA-) defined current source density time series were computedbetween two cortical areas (region of interest, ROI). Analyses were based on broad-band EEGfC results.Groups were compared by statistical parametric network (SPN) method. Statistically significantdifferences between group EEGfC values were emphasized at p < 0.05 corrected for multiple comparisonby local false discovery rate (FDR).Results: (1) Bilaterally increased beta EEGfC occurred in the BECTS group as compared to the controls.Greatest beta abnormality emerged between frontal and frontal, as well as frontal and temporal ROIs. (2)Locally increased EEGfC emerged in all frequency bands in the right parietal area.Conclusions: Areas of increased EEGfC topographically correspond to cortical areas that, based onrelevant literature, are related to speech and attention deficit in BECTS children.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
EEG functional connectivity
Benign childhood epilepsy with centrotemporal spikes
Megjelenés:Seizure-European Journal Of Epilepsy. - 35 (2016), p. 50-55. -
További szerzők:Puskás Szilvia (1979-) (neurológus) Spisák Tamás (1986-) (programtervező matematikus, informatikus) Lajtos Imre (1986-) (fizikus) Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Bessenyei Mónika (1970-) (neurológus, csecsemő- és gyermekgyógyász) Hollódy Katalin (1955-) (csecsemő- és gyermekgyógyász) Fogarasi András Kovács Noémi Fekete István (1951-) (neurológus, pszichiáter) Emri Miklós (1962-) (fizikus)
Pályázati támogatás:KTIA_13_NAPA-II/3
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2.

001-es BibID:BIBFORM056215
Első szerző:Clemens Béla (neurológus)
Cím:Valproate treatment normalizes EEG functional connectivity in successfully treated idiopathic generalized epilepsy patients / B. Clemens, S. Puskás, M. Besenyei, N. Zs. Kovács, T. Spisák, S. A. Kis, M. Emri, K. Hollody, A. Fogarasi, I. Kondákor, I. Fekete
Dátum:2014
Megjegyzések:To investigate the effect of chronic VPA treatment of EEG functional connectivity in successfully treated idiopathic generalized epilepsy (IGE) patients. PATIENTS AND METHODS: 19-channel waking, resting-state EEG records of 26 IGE patients were analyzed before treatment (IGE) and after the 90th day of treatment (VPA), in seizure-free condition. Three minutes of artifact-free EEG background activity (without epileptiform potentials) was analyzed for each patient in both conditions. A group of 26 age-matched healthy normative control persons (NC) was analyzed in the same way. All the EEG samples were processed to LORETA (Low Resolution Electromagnetic Tomography) to localize multiple distributed sources of EEG activity. Current source density time series were generated for 33 regions of interest (ROI) in each hemisphere for four frequency bands. Pearson correlation coefficients (R) were computed between all ROIs in each hemisphere, for four bands across the investigated samples. R values corresponded to intrahemispheric, cortico-cortical functional EEG connectivity (EEGfC). Group and condition differences were analyzed by statistical parametric network method. MAIN RESULTS: p<0.05, corrected for multiple comparisons: (1) The untreated IGE group showed increased EEGfC in the delta and theta bands, and decreased EEGfC in the alpha band (as compared to the NC group); (2) VPA treatment normalized EEGfC in the delta, theta and alpha bands; and (3) degree of normalization depended on frequency band and cortical region. CONCLUSIONS: VPA treatment normalizes EEGfC in IGE patients.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Epilepsy Research. - 108 : 10 (2014), p. 1896-1903. -
További szerzők:Puskás Szilvia (1979-) (neurológus) Bessenyei Mónika (1970-) (neurológus, csecsemő- és gyermekgyógyász) Kovács N. Zs. Spisák Tamás (1986-) (programtervező matematikus, informatikus) Kis Sándor Attila (1973-) (fizikus) Emri Miklós (1962-) (fizikus) Hollódy Katalin (1955-) (csecsemő- és gyermekgyógyász) Fogarasi András Kondákor István (1950-) (neurológus) Fekete István (1951-) (neurológus, pszichiáter)
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3.

001-es BibID:BIBFORM050866
035-os BibID:(Scopus)84884702192 (WoS)000326907700007
Első szerző:Clemens Béla (neurológus)
Cím:Neurophysiology of juvenile myoclonic epilepsy : EEG-based network and graph analysis of the interictal and immediate preictal states / B. Clemens, S. Puskás, M. Besenyei, T. Spisák, G. Opposits, K. Hollódy, A. Fogarasi, I. Fekete, M. Emri
Dátum:2013
ISSN:0920-1211
Megjegyzések:INTRODUCTION: The neuronal mechanisms of enduring seizure propensity and seizure precipitation in juvenile myoclonic epilepsy (JME) are not known. We investigated these issues, within the framework of the "network concept" of epilepsy. METHODS: Design1: 19, unmedicated JME patients were compared with nineteen, age-, and sex-matched normal control persons (NC). A total of 120s, artifact-free, paroxysm-free, eyes-closed, resting state EEG background activity was analyzed for each person. Design2: interictal and immediate preictal periods of the JME patients were compared in order to explore interictal-preictal network differences. For both comparison designs, statistically significant differences of EEG functional connectivity (EEGfC), nodal and global graph parameters were evaluated. MAIN RESULTS: Design1: maximum abnormalities were: increased delta, theta, alpha1 EEGfC and decreased alpha2 and beta EEGfC in the JME group as compared to the NC group, mainly among cortical areas that are involved in sensory-motor integration. Nodal degree and efficiency of three, medial, basal frontal nodes were greater in JME than in NC, in the alpha1 band. Design2: preictal delta EEGfC showed further increase in the above-mentioned areas, as compared to the interictal state. DISCUSSION: Increased EEGfC indicates a hypercoupled state among the specified cortical areas. This interictal abnormality further increases in the preictal state. Nodal graph statistics indicates abnormal neuronal dynamics in the cortical area that is the ictal onset zone in JME. SIGNIFICANCE: Interictal and preictal neuronal dysfunction has been described in terms of network dynamics and topography in JME patients. Forthcoming investigations of seizure precipitation and therapeutic drug effects are encouraged on this basis.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Epilepsy Research. - 106 : 3 (2013), p. 357-369. -
További szerzők:Puskás Szilvia (1979-) (neurológus) Bessenyei Mónika (1970-) (neurológus, csecsemő- és gyermekgyógyász) Spisák Tamás (1986-) (programtervező matematikus, informatikus) Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Hollódy Katalin (1955-) (csecsemő- és gyermekgyógyász) Fogarasi András Fekete István (1951-) (neurológus, pszichiáter) Emri Miklós (1962-) (fizikus)
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4.

001-es BibID:BIBFORM047414
Első szerző:Clemens Béla (neurológus)
Cím:Remission of benign epilepsy with rolandic spikes: An EEG-based connectivity study at the onset of the disease and at remission / B. Clemens, S. Puskás, M. Besenyei, T. Spisák, M. Emri, I. Fekete
Dátum:2013
ISSN:0920-1211
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Epilepsy Research. - 106 : 1-2 (2013), p. 128-135. -
További szerzők:Puskás Szilvia (1979-) (neurológus) Bessenyei Mónika (1970-) (neurológus, csecsemő- és gyermekgyógyász) Spisák Tamás (1986-) (programtervező matematikus, informatikus) Emri Miklós (1962-) (fizikus) Fekete István (1951-) (neurológus, pszichiáter)
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5.

001-es BibID:BIBFORM017054
Első szerző:Clemens Béla (neurológus)
Cím:EEG functional connectivity of the intrahemispheric cortico-cortical network of idiopathic generalized epilepsy / Clemens B., Puskás S., Bessenyei M., Emri M., Spisák T., Koselák M., Hollódy K., Fogarasi A., Kondákór I., Füle K., Fekete I.
Dátum:2011
ISSN:0920-1211 1872-6844
Megjegyzések:Intrahemispheric, cortico-cortical EEG functional connectivity (fC) was investigated in untreated patients with idiopathic generalized epilepsy (IGE) in this explorative study. PATIENTS AND METHODS: Group comparison was carried out between 19, drug-naive IGE patients and 19, matched healthy persons. 90x2s of 19 channels waking, interictal background EEG signal (without epileptiform potentials) were processed to the LORETA (low resolution electromagnetic tomography) software to compute current source density for 2394 voxels representing parcels of the cerebral cortex for 25 very narrow bands of 1Hz bandwidth (VNBs) from 1 to 25Hz. EEG fC was investigated among the already localized sources. Pearson correlation coefficients (R) were computed among the 33 regions of interest (ROI) within the left and within the right hemisphere, separately. Group differences were computed by means of t-statistics. Corrected p<0.05 differences were accepted as statistically significant. MAIN RESULTS: (1) The anatomical patterns of the fC differences showed great frequency-dependency. (2) Hemispheric asymmetry was prominent within most VNBs. (3) Decreased fC in the IGE group was found across all VNBs in the 1-6Hz frequency range as compared to mixed patterns comprising both increased and decreased fC at >6Hz frequencies. (4) In the 5-25Hz range, decreased fC dominated in the anterior, increased fC in the posterior parts of the cortex. (5) The results delineated an anterior and a posterior network. DISCUSSION: (1) Decreased fC in the 1-6Hz band might indicate some relationship to yet hidden structure network abnormalities. (2) The anatomical patterns of fC indicate frequency-dependent, pathological coupling and decoupling processes in the interictal state. (3) The two networks might help to understand seizure liability and seizure precipitation in IGE. SIGNIFICANCE: This is the first study to explore EEG fC in the interictal condition of IGE patients. The importance of EEG frequencies in evaluating fC in IGE was demonstrated and starting points for further research were given.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Epilepsy Research. - 96 : 1-2 (2011), p. 11-23. -
További szerzők:Puskás Szilvia (1979-) (neurológus) Bessenyei Mónika (1970-) (neurológus, csecsemő- és gyermekgyógyász) Emri Miklós (1962-) (fizikus) Spisák Tamás (1986-) (programtervező matematikus, informatikus) Koselák Mihály (1986-) (informatikus) Hollódy Katalin (1955-) (csecsemő- és gyermekgyógyász) Fogarasi András Kondákor István (1950-) (neurológus) Füle K. Fekete István (1951-) (neurológus, pszichiáter)
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6.

001-es BibID:BIBFORM051517
Első szerző:Piros Pálma (neurológus)
Cím:Uppermost synchronized generators of spike-wave activity are localized in limbic cortical areas in late-onset absence status epilepticus / Palma Piros, Szilvia Puskas, Miklos Emri, Gabor Opposits, Tamas Spisak, Istvan Fekete, Bela Clemens
Dátum:2014
ISSN:1059-1311
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
Megjelenés:Seizure - European Journal of Epilepsy. - 23 : 3 (2014), p. 213-221. -
További szerzők:Puskás Szilvia (1979-) (neurológus) Emri Miklós (1962-) (fizikus) Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Spisák Tamás (1986-) (programtervező matematikus, informatikus) Fekete István (1951-) (neurológus, pszichiáter) Clemens Béla (1950-) (neurológus)
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7.

001-es BibID:BIBFORM046012
Első szerző:Spisák Tamás (programtervező matematikus, informatikus)
Cím:BrainCON : graph theory based multimodal brain connectivity analysis and visualization software / Spisák Tamás, Opposits Gábor, Kis Sándor Attila, Pohubi László, Jakab András, Puskás Szilvia, Clemens Béla, Emri Miklós
Dátum:2013
Megjegyzések:PURPOSE Graph theory based structural and functional brain connectivity analysis is a novel method providingnew insights into the dynamics and complexity of the brain by modeling it's regional interactions [1].Due to the heterogeneity and dynamic development of the applied mathematical models and analysistechniques the software support of this field is still poorly accomplished [2].Our purpose was to develop a user friendly software system dedicated for the analysis andvisualization of multimodal brain connectivity data based on EEG, fMRI and DTI data.METHODSReconstruction of brain networks is modality dependent and can be performed with various state-of-the-art software tools, eg. BrainMOD (www.minipetct.com/brainmod) [3], Matlab and R for fMRI, FSL or DTI and NeuroGuide for EEG-LORETA data. With the aid of the BrainNET Utils software package, these software tools can be easily fitted into a processing pipeline and the resulting connectivity matrices can be loaded into BrainCON. Reconstructed brain networks can be displayed and thresholded interactively. Cost based adaptive techniques, soft-thresholding and cost-integration [5] method was implemented to solve the problem of thresholding and allow population based comparisons. Various methods are present for global (small worldness, efficiency, clustering coefficient, characteristic path length, etc.), modular (community detection) and nodal (strength, efficiency, betweenness centrality, hub scores) analysis of binary and weighted graphs in both individual and population level [4]. Interpreting the results is aided by real-time 2D and 3D "glass brain" visualization techniques and various plots. The software system was implemented mainly in C++ and partly in R.RESULTS AND CONCLUSIONThe software encapsulates state-of-the-art mathematical graph analysis methods and enhanced real-time network visualization techniques and provides a new user friendly tool in the field of brain connectivity research. The program is built upon the MultiModal Medical Imaging (M3I) software library system (www.minipetct.com/m3i) and runs on Windows 7 and Windows Xp operation systems and various Linux distributions (www.minipetct.com/braincon). The hardware requirements of the application match the current average PC configurations used in medical image analysis.
Tárgyszavak:Orvostudományok Klinikai orvostudományok előadáskivonat
software
medical imaging
brain connectivity
graph theory
complex network
Megjelenés:Electronic presentation online system : ECR Congress 2013 / [ed. ESR]. - p. C-2588.
További szerzők:Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Kis Sándor Attila (1973-) (fizikus) Pohubi László (1959-) (fizikus) Jakab András (1953-) Puskás Szilvia (1979-) (neurológus) Clemens Béla (1950-) (neurológus) Emri Miklós (1962-) (fizikus)
Pályázati támogatás:TÁMOP-4.2.2.C-11/1/KONV-2012-0001
TÁMOP
TÁMOP-4.2.2/B-10/1-2010-0024
TÁMOP
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