Results 231 to 240 of about 1,497,290 (270)
Influence of Dystrophin Isoform Deficiency on Motor Development in Duchenne Muscular Dystrophy
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
Genetic Profile and Symptom Pattern Explain Variability of Deep Brain Stimulation Effect in Dystonia
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
The Diagnostic Value of Visual Evoked Potentials in Chronic Disorders of Consciousness
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
Stage‐Dependent Inhibitory Connectivity in Striatal‐Motor Circuit in Huntington's Disease
ABSTRACT Background Elucidating dysfunctional connectivity patterns among key brain regions in Huntington's disease (HD) underlying progression may have implications for developing treatment and therapeutic evaluation. Objective Explore the relationship between abnormal spontaneous resting‐state activity and atrophy in HD‐specific brain regions and ...
Yinghua Jing+4 more
wiley +1 more source
Cognitive and Patient‐Reported Outcome Measures in LGI‐1‐IgG Autoimmune Encephalitis
ABSTRACT Objective Clinical outcome measures for autoimmune encephalitis (AE) are not yet well defined. Cognitive outcome measures (CogOs) and patient‐reported outcomes (PROs) may capture the symptoms of AE, beyond clinician‐reported outcomes (ClinROs) (the Modified Rankin Scale [mRS] and Clinical Assessment Scale in Autoimmune Encephalitis [CASE ...
Tatchaporn Ongphichetmetha+8 more
wiley +1 more source
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
BCS1L‐Associated Disease: 5′‐UTR Variant Shifts the Phenotype Towards Axonal Neuropathy
ABSTRACT Objectives To investigate the consequences of a pathogenic missense variant (c.838C>T; p.L280F) and a 5′‐UTR regulatory variant (c.‐122G>T) in BCS1L on disease pathogenesis and to understand how regulatory variants influence disease severity and clinical presentation.
Rotem Orbach+11 more
wiley +1 more source
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On the Determination of Sample Sizes in Designing Experiments
Journal of the American Statistical Association, 1948Abstract Methods are developed for determining sample sizes required to estimate means of normal populations with given precision, or to give significance when means differ by a specified amount. The methods assume that an estimate of the variance has been obtained from a previous or preliminary experiment.
Marilyn Harris+2 more
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Journal of the American Statistical Association, 1944
(1944). Determining Sample Size. Journal of the American Statistical Association: Vol. 39, No. 228, pp. 497-506.
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(1944). Determining Sample Size. Journal of the American Statistical Association: Vol. 39, No. 228, pp. 497-506.
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Sample size determination: a review [PDF]
This paper is concerned with methods of sample size determination. The approach is to cover a small number of simple problems, such as estimating the mean of a normal distribution or the slope in a regression equation, and to present some key techniques. The methods covered are in two groups: frequentist and Bayesian. Frequentist methods specify a null
openaire +1 more source