Results 191 to 200 of about 2,602,398 (316)

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

Influence of Dystrophin Isoform Deficiency on Motor Development in Duchenne Muscular Dystrophy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective In Duchenne muscular dystrophy (DMD), lack of the shorter dystrophin isoforms Dp140 and Dp71 is associated with increased central nervous system (CNS) involvement. We aimed to investigate how CNS involvement affects motor development in young DMD boys.
Mary Chesshyre   +152 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

Computing: Networks and Modeling [PDF]

open access: yesScience, 1994
Tim Appenzeller   +2 more
openaire   +3 more sources

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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