Synaptic reshaping and neuronal outcomes in the temporal lobe epilepsy
Temporal lobe epilepsy (TLE) is one of the most common types of focal epilepsy,
characterized by recurrent spontaneous seizures originating in the temporal lobe (s), with …
characterized by recurrent spontaneous seizures originating in the temporal lobe (s), with …
FDA-approved machine learning algorithms in neuroradiology: a systematic review of the current evidence for approval
AG Yearley, CMW Goedmakers, A Panahi… - Artificial Intelligence in …, 2023 - Elsevier
Over the past decade, machine learning (ML) and artificial intelligence (AI) have become
increasingly prevalent in the medical field. In the United States, the Food and Drug …
increasingly prevalent in the medical field. In the United States, the Food and Drug …
Mesial temporal dopamine: From biology to behaviour
LG Mann, DO Claassen - European Journal of Neuroscience, 2024 - Wiley Online Library
While colloquially recognized for its role in pleasure, reward, and affect, dopamine is also
necessary for proficient action control. Many motor studies focus on dopaminergic …
necessary for proficient action control. Many motor studies focus on dopaminergic …
Temporal lobe epilepsy with amygdala enlargement: A systematic review
K Chakravarty, S Ray, PS Kharbanda… - Acta Neurologica …, 2021 - Wiley Online Library
Temporal lobe epilepsy (TLE) with enlargement of the amygdala (AE) is a distinct clinical
entity with contrasting clinical features from TLE with hippocampal sclerosis (HS). The …
entity with contrasting clinical features from TLE with hippocampal sclerosis (HS). The …
Aberrant connectivity during pilocarpine-induced status epilepticus
Y Cui, J Liu, Y Luo, S He, Y Xia, Y Zhang… - … journal of neural …, 2020 - World Scientific
Status epilepticus (SE) is a common, life-threatening neurological disorder that may lead to
permanent brain damage. In rodent models, SE is an acute phase of seizures that could be …
permanent brain damage. In rodent models, SE is an acute phase of seizures that could be …
Neuroimaging in adults and children with epilepsy
EA Passaro - CONTINUUM: Lifelong Learning in Neurology, 2023 - journals.lww.com
OBJECTIVE This article discusses the fundamental importance of optimal epilepsy imaging
using the International League Against Epilepsy–endorsed Harmonized Neuroimaging of …
using the International League Against Epilepsy–endorsed Harmonized Neuroimaging of …
Celecoxib treatment alleviates cerebral injury in a rat model of post-traumatic epilepsy
L Chen, Q Niu, C Gao, F Du - PeerJ, 2023 - peerj.com
Background An important factor contributing to the development and occurrence of post-
traumatic epilepsy (PTE) is neuroinflammation and oxidative stress. The effects of celecoxib …
traumatic epilepsy (PTE) is neuroinflammation and oxidative stress. The effects of celecoxib …
Quantitative cellular pathology of the amygdala in temporal lobe epilepsy and correlation with magnetic resonance imaging volumetry, tissue microstructure, and …
HW Lam, S Patodia, C Zeicu, YM Lim, A Mrzyglod… - …, 2024 - Wiley Online Library
Objective Amygdala enlargement can occur in temporal lobe epilepsy, and increased
amygdala volume is also reported in sudden unexpected death in epilepsy (SUDEP). Apnea …
amygdala volume is also reported in sudden unexpected death in epilepsy (SUDEP). Apnea …
Amygdala enlargement in temporal lobe epilepsy: Histopathology and surgical outcomes
L Shakhatreh, B Sinclair, C McLean, E Lui… - …, 2024 - Wiley Online Library
Objectives Amygdala enlargement is detected on magnetic resonance imaging (MRI) in
some patients with drug‐resistant temporal lobe epilepsy (TLE), but its clinical significance …
some patients with drug‐resistant temporal lobe epilepsy (TLE), but its clinical significance …
High resolution automated labeling of the hippocampus and amygdala using a 3D convolutional neural network trained on whole brain 700 μm isotropic 7T …
Image labeling using convolutional neural networks (CNNs) are a template‐free alternative
to traditional morphometric techniques. We trained a 3D deep CNN to label the …
to traditional morphometric techniques. We trained a 3D deep CNN to label the …