Results 71 to 80 of about 1,208,579 (321)
Fine-Scale Spatial Organization of Face and Object Selectivity in the Temporal Lobe: Do Functional Magnetic Resonance Imaging, Optical Imaging, and Electrophysiology Agree? [PDF]
, 2008 The spatial organization of the brain's object and face representations in the temporal lobe is critical for understanding high-level vision and cognition but is poorly understood.
DiCarlo, James J. +6 more
core +1 more source
NeuroImage, 2021 Magnetic resonance current density imaging (MRCDI) of the human brain aims to reconstruct the current density distribution caused by transcranial electric stimulation from MR-based measurements of the current-induced magnetic fields.
Hasan H. Eroğlu +6 more
doaj
Frontiers in Psychiatry, 2023 BackgroundA large and growing body of neuroimaging research has concentrated on patients with attention-deficit/hyperactivity disorder (ADHD), but with inconsistent conclusions.
Miaomiao Yu +55 more
doaj +1 more source
Bayesian Reconstruction of Magnetic Resonance Images using Gaussian Processes [PDF]
arXiv, 2023 A central goal of modern magnetic resonance imaging (MRI) is to reduce the time required to produce high-quality images. Efforts have included hardware and software innovations such as parallel imaging, compressed sensing, and deep learning-based reconstruction.
arxiv
UDP‐glucose dehydrogenase variants cause dystroglycanopathy
Annals of Clinical and Translational Neurology, EarlyView.Abstract UDP‐glucose dehydrogenase (UGDH) variants have been associated with hypotonia, developmental delay, and epilepsy. We report the first pathologic evidence of dystroglycanopathy in siblings with UGDH variants. Both presented around 6 months with developmental delay and elevated creatinine kinase.
Anna M. Reelfs +8 more
wiley +1 more source
Frontiers in Neuroscience, 2022 The pathophysiology and pharmacology of depression are hypothesized to be related to the imbalance of excitation–inhibition that gives rise to hierarchical dynamics (or intrinsic timescale gradient), further supporting a hierarchy of cortical functions ...
Shaoqiang Han +65 more
doaj +1 more source
Improved Super Resolution of MR Images Using CNNs and Vision Transformers [PDF]
arXiv, 2022 State of the art magnetic resonance (MR) image super-resolution methods (ISR) using convolutional neural networks (CNNs) leverage limited contextual information due to the limited spatial coverage of CNNs. Vision transformers (ViT) learn better global context that is helpful in generating superior quality HR images. We combine local information of CNNs
arxiv
Amygdala Neurodegeneration: A Key Driver of Visual Dysfunction in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Visual disability in Parkinson's disease (PD) is not fully explained by retinal neurodegeneration. We aimed to delineate the brain substrate of visual dysfunction in PD and its association with retinal thickness. Methods Forty‐two PD patients and 29 controls underwent 3‐Tesla MRI, retinal spectral‐domain optical coherence tomography,
Asier Erramuzpe +15 more
wiley +1 more source
Frontiers in Aging Neuroscience, 2022 Background and PurposeIncreased interhemispheric resting-state functional connectivity (rsFC) between the bilateral primary motor cortex (M1) compensates for corticospinal tract (CST) impairment, which facilitates motor recovery in chronic subcortical ...
Jingchun Liu +4 more
doaj +1 more source
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging [PDF]
arXiv, 2021 Multi-spectral optoacoustic tomography (MSOT) is an emerging optical imaging method providing multiplex molecular and functional information from the rodent brain. It can be greatly augmented by magnetic resonance imaging (MRI) that offers excellent soft-tissue contrast and high-resolution brain anatomy. Nevertheless, registration of multi-modal images
arxiv