CCL

Összesen 7 találat.
#/oldal:
Részletezés:
Rendezés:

1.

001-es BibID:BIBFORM030124
035-os BibID:PMID:21925841 WOS:000299761400005
Első szerző:Bessenyei Mónika (neurológus, csecsemő- és gyermekgyógyász)
Cím:EEG background activity is abnormal in the temporal and inferior parietal cortex in benign rolandic epilepsy of childhood : a LORETA study / M. Besenyei, E. Varga, I. Fekete, Sz. Puskás, K. Hollódy, A. Fogarasi, M. Emri, G. Opposits, S. A. Kis, B. Clemens
Dátum:2012
ISSN:0920-1211
Megjegyzések:Benign rolandic epilepsy of childhood (BERS) is an epilepsy syndrome with presumably genetic-developmental etiology. The pathological basis of this syndrome is completely unknown. We postulated that a developmental abnormality presumably results in abnormal EEG background activity findings. PATIENTS AND METHODS: 20 children with typical BERS and an age- and sex-matched group of healthy control children underwent EEG recording and analysis. 60x2 s epochs of waking EEG background activity (without epileptiform potentials and artifacts) were analyzed in the 1-25 Hz frequency range, in very narrow bands (VNB, 1 Hz bandwidth). LORETA (Low Resolution Electromagnetic Tomography) localized multiple distributed sources of EEG background activity in the Talairach space. LORETA activity (current source density) was computed for 2394 voxels and 25 VNBs. Normalized LORETA data were processed to voxel-wise comparison between the BERS and control groups. Bonferroni-corrected p<0.05 Student's t-values were accepted as statistically significant. RESULTS: Increased LORETA activity was found in the BERS group (as compared to the controls) in the left and right temporal lobes (fusiform gyri, posterior parts of the superior, middle and inferior temporal gyri) and in the angular gyri in the parietal lobes, in the 4-6 Hz VNBs, mainly at 5 Hz. DISCUSSION: (1) Areas of abnormal LORETA activity exactly correspond to the temporal and parietal cortical areas that are major components of the Mirsky attention model and also the perisylvian speech network. Thus the LORETA findings may correspond to impaired attention and speech in BERS patients. (2) The LORETA findings may contribute to delineating the epileptic network in BERS. SIGNIFICANCE: The novel findings may contribute to investigating neuropsychological disturbances and organization of the epileptic network in BERS.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
egyetemen (Magyarországon) készült közlemény
Megjelenés:Epilepsy Research. - 98 : 1 (2012), p. 44-49. -
További szerzők:Varga Edit (Kenézy Kórház) Fekete István (1951-) (neurológus, pszichiáter) Puskás Szilvia (1979-) (neurológus) Hollódy Katalin (1955-) (csecsemő- és gyermekgyógyász) Fogarasi András Emri Miklós (1962-) (fizikus) Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Kis Sándor Attila (1973-) (fizikus) Clemens Béla (1950-) (neurológus)
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

2.

001-es BibID:BIBFORM062854
035-os BibID:(WoS)000373317700004 (Scopus)84969785061
Első szerző:Clemens Béla (neurológus)
Cím:Egyedi loreta-abnormalitások vizsgálata idiopathiás generalizált epilepsziákban / Clemens Béla, Puskás Szilvia, Bessenyei Mónika, Kondákor István, Hollódy Katalin, Fogarasi András, Bense Katalin, Emri Miklós, Opposits Gábor, Kovács Noémi Zsuzsanna, Fekete István
Dátum:2016
ISSN:0019-1442
Tárgyszavak:Orvostudományok Klinikai orvostudományok magyar nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
Megjelenés:Ideggyógyászati Szemle. - 69 : 3-4 (2016), p. 107-121. -
További szerzők:Puskás Szilvia (1979-) (neurológus) Bessenyei Mónika (1970-) (neurológus, csecsemő- és gyermekgyógyász) Kondákor István (1950-) (neurológus) Hollódy Katalin (1955-) (csecsemő- és gyermekgyógyász) Fogarasi András Bense Katalin Emri Miklós (1962-) (fizikus) Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Kovács Noémi Fekete István (1951-) (neurológus, pszichiáter)
Internet cím:DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

3.

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
Egyéb
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

4.

001-es BibID:BIBFORM050866
035-os BibID: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)
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

5.

001-es BibID:BIBFORM030126
Első szerző:Clemens Béla (neurológus)
Cím:EEG-LORETA endophenotypes of the common idiopathic generalized epilepsy syndromes / B. Clemens, Sz. Puskás, M. Besenyei, M. Emri, G. Opposits, S. A. Kis, K. Hollódy, A. Fogarasi, I. Kondákór, K. Füle, K. Bense, I. Fekete
Dátum:2012
Megjegyzések:We tested the hypothesis that the cortical areas with abnormal local EEG synchronization are dissimilar in the three common idiopathic generalized epilepsy (IGE) phenotypes: IGE patients with absence seizures (ABS), juvenile myoclonic epilepsy (JME) and epilepsy with generalized tonic-clonic seizures exclusively (EGTCS). PATIENTS AND METHODS: Groups of unmedicated ABS, JME and EGTCS patients were investigated. Waking EEG background activity (without any epileptiform potentials) was analyzed by a source localization method, LORETA (Low Resolution Electromagnetic Tomography). Each patient group was compared to a separate, age-matched group of healthy control persons. Voxel-based, normalized broad-band (delta, theta, alpha, and beta) and very narrow band (VNB, 1Hz bandwidth, from 1 to 25Hz) LORETA activity (=current source density, A/m(2)) were computed for each person. Group comparison included subtraction (average patient data minus average control data) and group statistics (multiple t-tests, where Bonferroni-corrected p<0.05 values were accepted as statistically significant). RESULTS: Statistically not significant main findings were: overall increased delta and theta broad band activity in the ABS and JME groups; decrease of alpha and beta activity in the EGTCS group. Statistically significant main findings were as follows. JME group: bilaterally increased theta activity in posterior (temporal, parietal, and occipital) cortical areas; bilaterally increased activity in the medial and basal prefrontal area in the 8Hz VNB; bilaterally decreased activity in the precuneus, posterior cingulate and superior parietal lobule in the 11Hz and 21-22Hz VNBs. ABS group: bilaterally increased theta activity emerged in the basal prefrontal and medial temporal limbic areas. Decreased activity was found at 19-21Hz in the right postcentral gyrus and parts of the right superior and medial temporal gyri. EGTCS group: decreased activity was found in the frontal cortex and the postcentral gyrus at 10-11Hz, increased activity in the right parahippocampal gyrus at 16-18Hz. DISCUSSION: Increased theta activity in the posterior parts of the cortex is the endophenotype for JME. Increased theta activity in the fronto-temporal limbic areas is the endophenotype for ABS. Statistically not significant findings might indicate diffuse biochemical abnormality of the cortex in JME and ABS.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Epilepsy Research. - 99 : 3 (2012), p. 281-292. -
További szerzők:Puskás Szilvia (1979-) (neurológus) Bessenyei Mónika (1970-) (neurológus, csecsemő- és gyermekgyógyász) Emri Miklós (1962-) (fizikus) Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Kis Sándor Attila (1973-) (fizikus) Hollódy Katalin (1955-) (csecsemő- és gyermekgyógyász) Fogarasi András Kondákor István (1950-) (neurológus) Füle K. Bense Katalin Fekete István (1951-) (neurológus, pszichiáter)
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
DOI
Borító:

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)
Internet cím:DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

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
Internet cím:DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Rekordok letöltése1