Elliot G Neal1, Mike R Schoenberg1,2, Stephanie Maciver2, Yarema B Bezchlibnyk1, Fernando L Vale3. 1. Department of Neurosurgery and Brain Repair, University of South Florida, Tampa, FL, United States. 2. Department of Neurology, University of South Florida, Tampa, FL, United States. 3. Department of Neurosurgery, Medical College of Georgia, Augusta University, Augusta, GA, United States.
Abstract
Background: Brain regions positively correlated with the epileptogenic zone in patients with temporal lobe epilepsy vary in spread across the brain and in the degree of correlation to the temporal lobes, thalamus, and limbic structures, and these parameters have been associated with pre-operative cognitive impairment and seizure freedom after epilepsy surgery, but negatively correlated regions have not been as well studied. We hypothesize that connectivity within a negatively correlated epilepsy network may predict which patients with temporal lobe epilepsy will respond best to surgery. Methods: Scalp EEG and resting state functional MRI (rsfMRI) were collected from 19 patients with temporal lobe epilepsy and used to estimate the irritative zone. Using patients' rsfMRI, the negatively correlated epilepsy network was mapped by determining all the brain voxels that were negatively correlated with the voxels in the epileptogenic zone and the spread and average connectivity within the network was determined. Results: Pre-operatively, connectivity within the negatively correlated network was inversely related to the spread (diffuseness) of that network and positively associated with higher baseline verbal and logical memory. Pre-operative connectivity within the negatively correlated network was also significantly higher in patients who would go on to be seizure free. Conclusion: Patients with higher connectivity within brain regions negatively correlated with the epilepsy network had higher baseline memory function, narrower network spread, and were more likely to be seizure free after surgery.
Background: Brain regions positively correlated with the epileptogenic zone in patients with temporal lobe epilepsy vary in spread across the brain and in the degree of correlation to the temporal lobes, thalamus, and limbic structures, and these parameters have been associated with pre-operative cognitive impairment and seizure freedom after epilepsy surgery, but negatively correlated regions have not been as well studied. We hypothesize that connectivity within a negatively correlated epilepsy network may predict which patients with temporal lobe epilepsy will respond best to surgery. Methods: Scalp EEG and resting state functional MRI (rsfMRI) were collected from 19 patients with temporal lobe epilepsy and used to estimate the irritative zone. Using patients' rsfMRI, the negatively correlated epilepsy network was mapped by determining all the brain voxels that were negatively correlated with the voxels in the epileptogenic zone and the spread and average connectivity within the network was determined. Results: Pre-operatively, connectivity within the negatively correlated network was inversely related to the spread (diffuseness) of that network and positively associated with higher baseline verbal and logical memory. Pre-operative connectivity within the negatively correlated network was also significantly higher in patients who would go on to be seizure free. Conclusion:Patients with higher connectivity within brain regions negatively correlated with the epilepsy network had higher baseline memory function, narrower network spread, and were more likely to be seizure free after surgery.
Authors: Elliot G Neal; Long Di; AmberRose Reale-Caldwell; Stephanie Maciver; Mike R Schoenberg; Fernando L Vale Journal: Epilepsy Behav Date: 2019-11-04 Impact factor: 2.937
Authors: Victoria L Morgan; Baxter P Rogers; Hernán F J González; Sarah E Goodale; Dario J Englot Journal: J Neurosurg Date: 2019-06-14 Impact factor: 5.115
Authors: J M Badier; A S Dubarry; M Gavaret; S Chen; A S Trébuchon; P Marquis; J Régis; F Bartolomei; C G Bénar; R Carron Journal: Physiol Meas Date: 2017-09-21 Impact factor: 2.833
Authors: Jerome Engel; Michael P McDermott; Samuel Wiebe; John T Langfitt; John M Stern; Sandra Dewar; Michael R Sperling; Irenita Gardiner; Giuseppe Erba; Itzhak Fried; Margaret Jacobs; Harry V Vinters; Scott Mintzer; Karl Kieburtz Journal: JAMA Date: 2012-03-07 Impact factor: 56.272
Authors: Petra J van Houdt; Jan C de Munck; Frans S S Leijten; Geertjan J M Huiskamp; Albert J Colon; Paul A J M Boon; Pauly P W Ossenblok Journal: Neuroimage Date: 2013-02-26 Impact factor: 6.556
Authors: Rachel Thornton; Helmut Laufs; Roman Rodionov; Sajitha Cannadathu; David W Carmichael; Serge Vulliemoz; Afraim Salek-Haddadi; Andrew W McEvoy; Shelagh M Smith; Samden Lhatoo; Robert D C Elwes; Maxime Guye; Matthew C Walker; Louis Lemieux; John S Duncan Journal: J Neurol Neurosurg Psychiatry Date: 2010-06-14 Impact factor: 10.154