Results 211 to 220 of about 189,821 (315)
Me and my shadow: Elongated sunset shadows disrupt size constancy. [PDF]
Kaneko S, Anstis S.
europepmc +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Impact of Simulated Artifacts on the Classification Performance of Apical Views in Transthoracic Echocardiography Using Convolutional Neural Networks. [PDF]
Orzeł-Łomozik GB +9 more
europepmc +1 more source
ALDOA Promotes Glycolysis and NLRP3/GSDMD Pyroptosis to Accelerate ALS Progression
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is characterized by progressive motor neuron degeneration. Glycolytic dysregulation is implicated in disease progression, yet the underlying mechanisms remain unclear. This study investigates how Aldolase A (ALDOA) drives ALS progression through glycolysis‐mediated motor neuron pyroptosis.
Kaixin Yan +9 more
wiley +1 more source
Pulmonary Artery Sarcoma With Lung Metastasis. [PDF]
Sato R +4 more
europepmc +1 more source
ABSTRACT Background X‐linked adrenoleukodystrophy (X‐ALD) is a neurometabolic disorder caused by pathogenic variants in ABCD1, leading to slowly progressive spinal cord disease in nearly all affected men. Sensitive biomarkers to quantify disease severity and predict progression are needed for clinical care and trial design.
Eda G. Kabak +4 more
wiley +1 more source
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
wiley +1 more source
A deep convolutional neural network trained for lightness constancy is susceptible to lightness illusions. [PDF]
Patel J +6 more
europepmc +1 more source

