Results 161 to 170 of about 100,182 (299)

Equine models in translational medicine: A comparative approach to human health

open access: yesAnimal Models and Experimental Medicine, EarlyView.
This diagram summarizes and contrasts rodent and equine models, outlining their strengths, limitations, and applications. Horses offer naturally occurring diseases, genetic and physiological similarities to humans, and suitability for longitudinal and clinical‐scale studies.
Shayan Boozarjomehri Amnieh   +1 more
wiley   +1 more source

Computation of the electroencephalogram (EEG) from network models of point neurons. [PDF]

open access: yesPLoS Comput Biol, 2021
Martínez-Cañada P   +4 more
europepmc   +1 more source

CSF‐Compartmentalized Antibody Glycoprofiles in NMDAR Encephalitis Associate with Etiology and Functional Recovery

open access: yesAnnals of Neurology, EarlyView.
Objective To characterize Fc‐glycosylation profiles in patients with anti‐N‐methyl‐D‐aspartate receptor encephalitis (NMDARe) and assess their association with antibody compartmentalization (cerebrospinal fluid [CSF] vs serum), disease triggers (viral, tumor‐related or idiopathic), and 1‐year outcomes.
Laura Marmolejo   +16 more
wiley   +1 more source

Deep learning using electroencephalogram (EEG) data for diagnosing and predicting SSRI response in major depressive disorder. [PDF]

open access: yesCommun Med (Lond)
Olbrich S   +8 more
europepmc   +1 more source

Functional Segregation of Epileptogenicity within the Human Amygdala

open access: yesAnnals of Neurology, EarlyView.
Objective In temporal lobe epilepsy (TLE), the amygdala in the epileptogenic network is underestimated compared to other regions such as the hippocampus. Recent advances in anatomical neuroimaging and stereoelectroencephalography (SEEG) signal analyses could help better understand the involvement of the different amygdala nuclei in the genesis of ...
Odile Feys   +14 more
wiley   +1 more source

AI‐Driven Mapping of Seizure Spread Patterns

open access: yesAnnals of Neurology, EarlyView.
Objective The focus of epilepsy research has largely been on seizure onset; however, physicians typically examine the patterns of seizure spread past seizure onset as well. This study aims to align automated seizure analysis with clinical practice, leverage deep learning to standardize seizure annotations that varies among physicians, and understand ...
Andrew Y. Revell   +13 more
wiley   +1 more source

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