Propagation of human complex-partial seizures: a correlation analysis
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2020, Epilepsy and BehaviorCitation Excerpt :The majority of patients had temporal seizures, and most described their seizures as a perceived loss of consciousness, yet able to describe some aspects of being unconscious. Prior studies suggest that temporal seizures may cause this semi-impaired state of consciousness because of involvement of temporal cortex, the thalamus, and upper brainstem [22–24]. Our findings are consistent; however, we note that temporal seizures, depending on the patient may differentially involve structures involved in the production of consciousness, thus producing different subjective experiences.
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2020, Clinical NeurophysiologyInterhemispheric microstructural connectivity in bitemporal lobe epilepsy with hippocampal sclerosis
2015, CortexCitation Excerpt :The WM abnormalities in commissural pathways found in this study give support to their role in contralateral seizure propagation. However, the presence of diffuse FA reduction, increased MD and WM volume decrease in other projection or association WM tracts when compared to healthy controls and to TLE+UHS patients, provide evidence of seizure transmission through indirect circuits such as the frontal lobe (orbitofrontal, cingulate) and subcortical routes (the projection fibers of the fornix connecting the hippocampus with septal nuclei and mammillary bodies and their projections to the anterior and midline thalamic nuclei and the midbrain reticular formation and their return projections to mesial temporal structures) (Adam, 2006; Bertashius, 1991; Gloor et al., 1993; Lieb et al., 1987; Wada, 1991). It is conceivable that the abnormal WM volume and DTI values observed here may be related to damage of the axonal pathways involved in seizure ictal spread or to secondary WM loss in connected areas (Diehl et al., 2008).
How important is the seizure onset zone for seizure dynamics'
2015, SeizureCitation Excerpt :All remaining contacts were assigned to category o (other; 61.7% (0–93.0)). In order to construct functional networks from iEEG recordings, we associated each electrode contact with a network node and defined functional links between any pair of nodes i and j—regardless of their anatomical connectivity—using the cross-correlation function (see Appendix A) as a simple and most commonly used measure for interdependence between two signals.6,34 iEEG data of each window were normalised to zero mean and unit variance.