Results 211 to 220 of about 17,318 (265)
Abstract Objective The olive oil–based Mediterranean ketogenic diet (MedKD) may support patients with drug‐resistant epilepsy (DRE) or neurometabolic disorders by integrating ketogenic therapy with the cardiometabolic and neuroprotective advantages of the Mediterranean diet.
Sofia Zouganeli +8 more
wiley +1 more source
Abstract Objective Epileptic seizures are generated in cerebral networks that propagate ictal and interictal activity. The structure of cerebral networks underpinning epileptic activity can be inferred from diffusion‐weighted magnetic resonance imaging (DWI).
Peter N. Taylor +9 more
wiley +1 more source
Abstract Objective Anterior temporal lobe resection (ATLR) is an effective treatment for drug‐resistant temporal lobe epilepsy (TLE) but carries a substantial risk of language impairment, particularly in naming. Understanding and predicting the impact of ATLR on language functions remains a major clinical challenge.
Karl‐Heinz Nenning +8 more
wiley +1 more source
Abstract Objective Focal cortical dysplasia (FCD) causes drug‐resistant epilepsy requiring presurgical evaluation. Invasive electroencephalographic (EEG) studies demonstrate that sleep modulates epileptic activity, including interictal epileptiform discharges (IEDs), fast oscillations (FOs) in the beta (14–40 Hz) and gamma (40–80 Hz) frequency bands ...
Marcel Heers +13 more
wiley +1 more source
Thalamic connectivity mirrors spatial maps of network dysfunction in nonlesional focal epilepsy
Abstract Objective Focal epilepsy is increasingly conceptualized as a network disorder, yet the extent to which network dysfunction reflects a shared phenotype remains unknown. Spatially conserved patterns of network dysfunction may implicate a centralized mechanism underlying widespread impairment.
Joline M. Fan +7 more
wiley +1 more source
Quantitative electroencephalographic measures during postmalarial epileptogenesis
Abstract Objective Severe malaria with neurologic involvement contributes significantly to the global burden of acquired pediatric epilepsy. We studied quantitative electroencephalographic (EEG) measures in postmalarial epileptogenesis. Methods A total of 186 patients, aged 6 months to 11 years, with confirmed central nervous system malaria were ...
Rasesh B. Joshi +14 more
wiley +1 more source
Abstract Objective Surgical decision‐making in temporal lobe epilepsy (TLE) faces a critical challenge in determining whether the hippocampus can be safely spared during anterior temporal resection, particularly when surgery involves the language‐dominant hemisphere.
Guhan Seshadri NP +6 more
wiley +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Abstract Objectives Temporal lobe epilepsy (TLE) impacts multiple brain networks. Aberrant functional connectivity has been demonstrated in resting‐state networks (RSNs) that mediate higher brain functions in TLE. This study aimed to identify the reproducible patterns of altered functional connectivity in TLE in a large, international cohort through ...
Victoria Ives‐Deliperi +28 more
wiley +1 more source
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2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
High-frequency regions like edges compromise the image denoising performance. In traditional hand-crafted systems, image edges/textures were regularly used to restore the frequencies in these regions. However, this practice seems to be left forgotten in the deep learning era. In this paper, we revisit this idea of using the image gradient and introduce
Yang Liu 0249 +3 more
openaire +1 more source
High-frequency regions like edges compromise the image denoising performance. In traditional hand-crafted systems, image edges/textures were regularly used to restore the frequencies in these regions. However, this practice seems to be left forgotten in the deep learning era. In this paper, we revisit this idea of using the image gradient and introduce
Yang Liu 0249 +3 more
openaire +1 more source

