Results 281 to 290 of about 262,063 (357)

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

Development of lesion and organ negative cast modelling technique for quality assurance and optimization of nuclear medicine images. [PDF]

open access: yesCommun Med (Lond)
Fedrigo R   +7 more
europepmc   +1 more source

Amyotrophic Lateral Sclerosis as a Multistep Process in the United States: A Population‐Based Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Amyotrophic lateral sclerosis (ALS) is a fatal, progressive neurodegenerative disease that typically results in death within 3–5 years from symptom onset. However, little is known about the environmental exposures, clinical aspects, or social determinants of health factors that may be associated with the disease.
Jasmine Berry   +7 more
wiley   +1 more source

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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