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This is a remarkable group and reading the breadth and human kindness here is wonderful.
I came across an article that is to appear in Epilepsy Research and wanted to upload it but the size was too big so the abstract appears below.
This was prompted by a question someone asked about Dr. Walker and how he could get such good results. The point of this article is that epilepsy is a complicated disease and cannot be solely understood by reading or observing the seizure. It notes that the connectivity between networks, different parts of the brain seems to influence the persistence of seizures and that there are different connectivity patterns in the front part and the back part of the brain and differences between the frequencies. By connectivity is meant the timing between pairs of sites and these pairs group into ROIs or regions of interest.
Walker and others such as myself, do a Quantified EEG which is the only way to measure connectivity (called coherence and phase) and use a database very much like a lab uses a database to match blood samples you give your doctor, to determine whether certain connectivity should be increased or decreased since you cannot tell solely from the symptoms or from the observation of the seizure. This individualization and targeted customized network approach based on matching against non seizure patients may account for Walker's success.
Best,
Jerry Gluck
EEG functional connectivity of the intrahemispheric
cortico-cortical network of idiopathic generalized
epilepsy
B. Clemensa,∗, S. Puskásb, M. Bessenyeia, M. Emric, T. Spisákc, M. Koselákc, K. Hollódyd, A. Fogarasie, I. Kondákorf, K. Fülef, K. Benseg, I. Feketeb
a Kenézy Hospital Ltd., Department of Neurology, Bartók Béla út 3., 4031 Debrecen, Hungary
b University of Debrecen, Medical and Health Science Center, Department of Neurology, Debrecen, Hungary
c University of Debrecen, Institute of Nuclear Medicine, Debrecen, Hungary
d University of Pécs, Department of Pediatrics, Pécs, Hungary
e Epilepsy Center, Bethesda Children’s Hospital, Budapest, Hungary
f Teaching County Hospital of Bács-Kiskun, Department of Neurology, Kecskemét, Hungary
g Teaching County Hospital of Bács-Kiskun, Department of Child Neurology, Kecskemét, Hungary
Received 7 December 2010; received in revised form 22 March 2011; accepted 24 April 2011
KEYWORDS
Epilepsy;
Idiopathic
generalized epilepsy; Network;
LORETA Source Correlation
Summary
Aims: 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. 90 × 2s of 19 channels waking, interictal background EEG signal (without epileptiform potentials) were processed to the LORETA (low resolution electro¬magnetic tomography) software to compute current source density for 2394 voxels representing parcels of the cerebral cortex for 25 very narrow bands of 1 Hz 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—6 Hz frequency range as compared to mixed patterns comprising both increased and decreased fC at >6Hz frequencies. (4) In the 5—25 Hz 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.
∗ Corresponding author. Tel.: +36 52 511 777; fax: +36 51 511 729. E-mail address: ... (B. Clemens).
0920-1211/$ — see front matter © 2011 Elsevier B.V. All rights reserved. doi:10.1016/j.eplepsyres.2011.04.011
I came across an article that is to appear in Epilepsy Research and wanted to upload it but the size was too big so the abstract appears below.
This was prompted by a question someone asked about Dr. Walker and how he could get such good results. The point of this article is that epilepsy is a complicated disease and cannot be solely understood by reading or observing the seizure. It notes that the connectivity between networks, different parts of the brain seems to influence the persistence of seizures and that there are different connectivity patterns in the front part and the back part of the brain and differences between the frequencies. By connectivity is meant the timing between pairs of sites and these pairs group into ROIs or regions of interest.
Walker and others such as myself, do a Quantified EEG which is the only way to measure connectivity (called coherence and phase) and use a database very much like a lab uses a database to match blood samples you give your doctor, to determine whether certain connectivity should be increased or decreased since you cannot tell solely from the symptoms or from the observation of the seizure. This individualization and targeted customized network approach based on matching against non seizure patients may account for Walker's success.
Best,
Jerry Gluck
EEG functional connectivity of the intrahemispheric
cortico-cortical network of idiopathic generalized
epilepsy
B. Clemensa,∗, S. Puskásb, M. Bessenyeia, M. Emric, T. Spisákc, M. Koselákc, K. Hollódyd, A. Fogarasie, I. Kondákorf, K. Fülef, K. Benseg, I. Feketeb
a Kenézy Hospital Ltd., Department of Neurology, Bartók Béla út 3., 4031 Debrecen, Hungary
b University of Debrecen, Medical and Health Science Center, Department of Neurology, Debrecen, Hungary
c University of Debrecen, Institute of Nuclear Medicine, Debrecen, Hungary
d University of Pécs, Department of Pediatrics, Pécs, Hungary
e Epilepsy Center, Bethesda Children’s Hospital, Budapest, Hungary
f Teaching County Hospital of Bács-Kiskun, Department of Neurology, Kecskemét, Hungary
g Teaching County Hospital of Bács-Kiskun, Department of Child Neurology, Kecskemét, Hungary
Received 7 December 2010; received in revised form 22 March 2011; accepted 24 April 2011
KEYWORDS
Epilepsy;
Idiopathic
generalized epilepsy; Network;
LORETA Source Correlation
Summary
Aims: 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. 90 × 2s of 19 channels waking, interictal background EEG signal (without epileptiform potentials) were processed to the LORETA (low resolution electro¬magnetic tomography) software to compute current source density for 2394 voxels representing parcels of the cerebral cortex for 25 very narrow bands of 1 Hz 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—6 Hz frequency range as compared to mixed patterns comprising both increased and decreased fC at >6Hz frequencies. (4) In the 5—25 Hz 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.
∗ Corresponding author. Tel.: +36 52 511 777; fax: +36 51 511 729. E-mail address: ... (B. Clemens).
0920-1211/$ — see front matter © 2011 Elsevier B.V. All rights reserved. doi:10.1016/j.eplepsyres.2011.04.011
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