Results 11 to 20 of about 362,106 (369)
Phenotypic continuum of NFU1‐related disorders
Abstract Bi‐allelic variants in Iron–Sulfur Cluster Scaffold (NFU1) have previously been associated with multiple mitochondrial dysfunctions syndrome 1 (MMDS1) characterized by early‐onset rapidly fatal leukoencephalopathy. We report 19 affected individuals from 10 independent families with ultra‐rare bi‐allelic NFU1 missense variants associated with a
Rauan Kaiyrzhanov+45 more
wiley +1 more source
Harmonizing results of ataxia rating scales: mFARS, SARA, and ICARS
Abstract The ever‐increasing body of ataxia research provides opportunities for large‐scale meta‐analyses, systematic reviews, and data aggregation. Because multiple standardized scales are used to quantify ataxia severity, harmonization of these measures is necessary for quantitative data pooling. We applied the modified Friedreich Ataxia Rating Scale
Christian Rummey+5 more
wiley +1 more source
Abstract Objectives Early‐ and late‐onset Alzheimer's disease (EOAD and LOAD) share the same neuropathological traits but show distinct cognitive features. We aimed to explore baseline and longitudinal outcomes of global and domain‐specific cognitive function in a well characterized cohort of patients with a biomarker‐based diagnosis.
Adrià Tort‐Merino+16 more
wiley +1 more source
CannaCount: an improved metric for quantifying estimates of maximum possible cannabinoid exposure
Increasing numbers of individuals have access to cannabinoid-based products containing various amounts of delta-9-tetrahydrocannabinol (THC), cannabidiol (CBD), and other cannabinoids. Exposure to specific cannabinoids likely influences outcomes; however,
Ashley M. Lambros+6 more
doaj +1 more source
Multimodal neuroimaging in post-COVID syndrome and correlation with cognition
Brain changes have been reported in the first weeks after SARS-CoV-2 infection. However, limited literature exists about brain alterations in post-COVID syndrome, a condition increasingly associated with cognitive impairment.
María Díez-Cirarda+10 more
semanticscholar +1 more source
Neuroimaging in Dementia [PDF]
Dementia is a common illness with an incidence that is rising as the aged population increases. There are a number of neurodegenerative diseases that cause dementia, including Alzheimer's disease, dementia with Lewy bodies, and frontotemporal dementia, which is subdivided into the behavioral variant, the semantic variant, and nonfluent variant ...
Tartaglia, Maria Carmela+2 more
openaire +5 more sources
Machine learning for neuroimaging with scikit-learn [PDF]
Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of activation images or resting-state time series.
Alexandre Abraham+8 more
semanticscholar +1 more source
Cognitive fatigue, or fatigue related to mental work, is a common experience. A growing body of work using functional neuroimaging has identified several regions that appear to be related to cognitive fatigue and that potentially comprise a “fatigue ...
G. R. Wylie+4 more
doaj +1 more source
Layer specific functional MRI requires high spatial resolution data. To compensate the associated poor signal to noise ratio it is common to integrate the signal from voxels at a given cortical depth.
Irati Markuerkiaga+3 more
doaj +1 more source
(1) Background: This work characterizes the sensitivity of magnetic resonance-based Relaxivity Contrast Imaging (RCI) to Amyotrophic Lateral Sclerosis (ALS)-induced changes in myofiber microstructure.
Sudarshan Ragunathan+7 more
doaj +1 more source