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Epilepsy is a common disease in the general population. 10% of the population will present a seizure throughout his life, although only 1% will have an epileptic condition. We can divide the generalized epilepsy and focal. Es in the latter that more diagnostic and management difficulties may arise in clinical practice, for its wide variety of symptoms and their identification difficult. These symptoms may be referred to differently by each patient, often dismissively. In focal epilepsy, the most prevalent epilepsy that originates in the temporal lobe. The identification and study of this pathology is very important because the patient may have episodes of disconnecting means and in one third of cases secondarily generalized crises. Although most patients the culprit lesion is mesial temporal sclerosis, one must rule out other causes such as tumors or infections.
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http://dx.doi.org/10.1016/j.semerg.2012.05.015 | DOI Listing |
Epilepsy Behav
March 2025
Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Objective: Electroencephalography (EEG) microstate analysis is widely used in the study of various neurological and psychiatric disorders. We aim to assess whether EEG microstates are altered in TLE patients with and without cognitive decline.
Methods: This study included a total of 47 temporal lobe epilepsy (TLE) patients with or without cognitive decline and 14 healthy controls (HCs).
Epilepsy Behav
March 2025
Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Département de psychologie, Université de Montréal, Montréal, Canada; Service de psychologie, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, Canada. Electronic address:
Episodic memory tasks employing verbal material are generally sensitive to material-specific memory impairments in individuals with left mesial temporal lobe epilepsy (LTLE), whereas visuospatial memory tasks are less consistently failed by individuals with right mesial temporal lobe epilepsy (RTLE). A limitation of these tasks is the possibility for the examinee to use verbalization strategies when tested with visuospatial stimuli, and visualization strategies with verbal material. In this study, we aimed to develop two new analogous computerized recognition tasks to identify material-specific memory impairments, adapted from those previously developed in our lab: one using verbal material (i.
View Article and Find Full Text PDFNeurobiol Aging
March 2025
Department of Neurology, Mayo Clinic, Rochester, MN, USA. Electronic address:
Transactive response DNA-binding protein 43 kDa (TDP-43) deposition is linked to regional brain atrophy in Alzheimer's disease (AD), but diffusion changes associated with AD-related TDP-43 proteinopathy remain underexplored. This study evaluates the potential of diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) as in vivo markers for detecting TDP-43 proteinopathy in AD. We analyzed DTI and NODDI metrics in 49 cases with AD neuropathologic changes, categorized by postmortem TDP-43 status.
View Article and Find Full Text PDFJ Control Release
March 2025
4Brain, Department of head and Skin, Ghent University, Corneel Heymanslaan 10, 9000 Ghent, Belgium. Electronic address:
Up to 30 % of epilepsy patients suffer from drug-resistant epilepsy (DRE). The search for innovative therapies is therefore important to close the existing treatment gap in these patients. The adenosinergic system possesses potent anticonvulsive effects, mainly through the adenosine A receptor (AR).
View Article and Find Full Text PDFJ Clin Neurosci
March 2025
Amrita Advanced Centre for Epilepsy (AACE), Amrita Institute of Medical Sciences, Kochi, Kerala, India; Department of Neurology, Amrita Institute of Medical Sciences, Kochi, Kerala, India. Electronic address:
Introduction: Localizing the epileptogenic zone (EZ) using Stereo EEG (SEEG) is often challenging through manual analysis. Even methods based on signal analysis have limitations in identifying the EZ, particularly in patients with neocortical epilepsy.
Methods: We developed machine learning (ML) methods that utilize HFO from SEEG recordings to train models to localize the EZ.
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