Results 51 to 60 of about 2,999,829 (296)
Using support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairment [PDF]
Few studies have looked at the potential of using diffusion tensor imaging (DTI) in conjunction with machine learning algorithms in order to automate the classification of healthy older subjects and subjects with mild cognitive impairment (MCI).
Lamberton, Franck +57 more
core +3 more sources
GelMA‐based 3D spheroids recapitulate transcriptomic and functional hallmarks of myeloid sarcoma
GelMA 5% hydrogels support the formation of myeloid leukemia spheroids that recapitulate MS‐specific features, including G1 arrest, apoptosis, and ECM‐driven transcriptomic reprogramming. The 3D model mimicked soft‐tissue‐like stiffness and oxygen conditions, and transcriptomic convergence with primary MS samples confirmed its utility as a preclinical ...
Nicolas Germain +11 more
wiley +1 more source
White matter damage and cognitive impairment after traumatic brain injury [PDF]
White matter disruption is an important determinant of cognitive impairment after brain injury, but conventional neuroimaging underestimates its extent.
Powell, Jane Hilary +34 more
core +1 more source
Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan +14 more
wiley +1 more source
Spatial Smoothing for Diffusion Tensor Imaging with low Signal to Noise Ratios [PDF]
Though low signal to noise ratio (SNR) experiments in DTI give key information about tracking and anisotropy, e.g. by measurements with very small voxel sizes, due to the complicated impact of thermal noise such experiments are up to now seldom analysed.
Prigarin, Sergej M. +4 more
core +1 more source
Research Progress of Denoising Algorithms for Diffusion Tensor Images
Diffusion tensor imaging is an essential technique to study tissue brain microstructure and the distribution of white matter fiber tracts. However, affected by the diffusion-weighted signal attenuation and long echo time, diffusion tensor images suffer ...
YANG Liming, WANG Yuanjun
doaj +1 more source
Basal Ganglia Compensatory White Matter Changes on DTI in Alzheimer’s Disease
The volume reduction of the gray matter structures in patients with Alzheimer’s disease is often accompanied by an asymmetric increase in the number of white matter fibers located close to these structures. The present study aims to investigate the white
Zdeněk Wurst +12 more
doaj +1 more source
ABSTRACT Objectives Acute kidney injury (AKI) is a common but often underrecognized complication in ischemic stroke patients undergoing mechanical thrombectomy, particularly among those with pre‐existing renal impairment. This study evaluated the incidence, risk factors, and clinical impact of AKI in this high‐risk population.
Michał Borończyk +10 more
wiley +1 more source
Measurement(s) Diffusion Weighted Imaging • Magnetic Resonance Imaging of the Brain without Contrast • Diffusion Tensor Imaging Technology Type(s) 3 T MRI scanner Factor Type(s) Age • Gender Sample Characteristic - Organism Homo ...
Philippe Poulin +9 more
doaj +1 more source
White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy
ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian +8 more
wiley +1 more source

