Results 211 to 220 of about 2,417,430 (400)

Detecting rs‐fMRI Networks in Disorders of Consciousness: Improving Clinical Interpretability

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Preserved resting‐state functional MRI (rs‐fMRI) networks are typically observed in Disorders of Consciousness (DOC). Despite the widespread use of rs‐fMRI in DOC, a systematic assessment of networks is needed to improve the interpretability of data in clinical practice.
Jean Paul Medina Carrion   +15 more
wiley   +1 more source

Transition Trends Associated with Topic Focus Since 1990: A Literature Review [PDF]

open access: green, 2019
Lisa S. Cushing   +4 more
openalex   +1 more source

Genetic Profile and Symptom Pattern Explain Variability of Deep Brain Stimulation Effect in Dystonia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Bilateral globus pallidus pars interna deep brain stimulation (GPi‐DBS) is a recognized and effective treatment option for drug‐resistant dystonia patients. However, the clinical GPi‐DBS outcomes vary significantly. Herein, we explored the pre‐implant factors affecting GPi‐DBS effectiveness.
Mahboubeh Ahmadipour   +6 more
wiley   +1 more source

Topical Management of chronic rhinosinusitis - A literature review

open access: yesAdvanced Treatments in ENT Disorders, 2019
Aremu Shuaib Kayode   +1 more
openaire   +2 more sources

The Diagnostic Value of Visual Evoked Potentials in Chronic Disorders of Consciousness

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective In chronic disorders of consciousness (DOCs), the distinction between vegetative state/unresponsive wakefulness syndrome (VS/UWS) and minimally conscious state (MCS) is as crucial as it is challenging. Evoked potentials (EPs) and event‐related potentials (ERPs) are helpful, but some limitations prevent their consistent use in the ...
Letizia Clementi   +14 more
wiley   +1 more source

The MSA Atrophy Index (MSA‐AI): An Imaging Marker for Diagnosis and Clinical Progression in Multiple System Atrophy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reliable biomarkers are essential for tracking disease progression and advancing treatments for multiple system atrophy (MSA). In this study, we propose the MSA Atrophy Index (MSA‐AI), a novel composite volumetric measure to distinguish MSA from related disorders and monitor disease progression. Methods Seventeen participants with an
Paula Trujillo   +11 more
wiley   +1 more source

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