Results 171 to 180 of about 792,002 (303)

Disease Remission: A Scoping Review With Thematic Analysis of the Scientific Literature With Implications for Chronic Rhinosinusitis

open access: yesInternational Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Remission, a term used to describe a goal of treatment for some chronic diseases, has recently been proposed for chronic rhinosinusitis (CRS). However, it is unclear what remission means for CRS and why it should serve as a goal in the present‐day treatment of CRS.
Nikhil Parail   +7 more
wiley   +1 more source

A preclinical mouse model mimicking the ovarian cancer‐induced estrogen deficiency‐depression axis

open access: yesAnimal Models and Experimental Medicine, EarlyView.
A preclinical mouse model of ovarian cancer–related depression was developed by combining intraperitoneal tumor cell injection, ovariectomy, and chronic restraint stress. The model replicates key clinical features including estrogen deficiency, depressive‐like behaviors, and tumor progression, and provides a reliable tool for studying the endocrine ...
Jiamin Liu   +6 more
wiley   +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

Multimodal Image Guidance in Subthalamic Deep Brain Stimulation for Parkinson's Disease

open access: yesAnnals of Neurology, EarlyView.
Objective Accurate electrode placement and individual stimulation parameters influence the outcomes of subthalamic deep brain stimulation in Parkinson's disease. Neuroimaging‐based models can help evaluate how electrode placement impacts improvement, aiming to reduce the burden of programming.
Patricia Zvarova   +27 more
wiley   +1 more source

Use of Machine Learning to Identify Markers of Risk for Fragile X‐Associated Tremor/Ataxia Syndrome: A Preliminary Analysis

open access: yesAnnals of Neurology, EarlyView.
Objective The objective of this study was to examine whether machine learning has the capacity to prospectively identify and predict the emergence of Fragile X‐associated tremor/ataxia syndrome (FXTAS) among male fragile X premutation carriers (PCs). Methods We explored neuropsychological and motor evaluation metrics, brain magnetic resonance imaging ...
Chitrabhanu Gupta   +10 more
wiley   +1 more source

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