Results 51 to 60 of about 699,345 (355)
Effect of spectral overlays on visual parameters and reading ability: an integrative review
Purpose: to provide an integrative review of indexed articles published from 2009 to 2019 on the effect of spectral overlays on visual parameters and reading ability. Methods: keywords were used to search seven databases.
Douglas de Araújo Vilhena+3 more
doaj +1 more source
Concussion-Related Vision Disorder Practice Patterns in Occupational Therapy: A Survey [PDF]
Background: Occupational therapists are among the first providers to initiate care after a concussion; however, evidence is limited regarding current concussion-related vision disorder practice patterns.
Bunin, Greta+2 more
core +2 more sources
Cerebello‐Prefrontal Connectivity Underlying Cognitive Dysfunction in Spinocerebellar Ataxia Type 2
ABSTRACT Objective Spinocerebellar ataxia type 2 (SCA2) is a hereditary cerebellar degenerative disorder, with motor and cognitive symptoms. The constellation of cognitive symptoms due to cerebellar degeneration is named cerebellar cognitive affective syndrome (CCAS), which has increasingly been recognized to profoundly impact patients' quality of life;
Ami Kumar+7 more
wiley +1 more source
Zihinsel Engelli Çocuklarda Oküler Patolojiler: Prospektif Bir Çalışma
Amaç: Bu çalışmanın amacı Down sendromu veya herhangi bir kromozomal-genetik anomalisi olmayan zihinsel engelli pediatrik hastalarda oküler patolojilerin araştırılmasıdır.
Nurdan Arıcan, Murat Tunç
doaj +1 more source
Current and Future Cornea Chip Models for Advancing Ophthalmic Research and Therapeutics
This review analyzes cornea chip technology as an innovative solution to corneal blindness and tissue scarcity. The examination encompasses recent developments in biomaterial design and fabrication methods replicating corneal architecture, highlighting applications in drug screening and disease modeling while addressing key challenges in mimicking ...
Minju Kim+3 more
wiley +1 more source
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis [PDF]
Deep learning has been recently used for the analysis of neuroimages, such as structural magnetic resonance imaging (MRI), functional MRI, and positron emission tomography (PET), and has achieved significant performance improvements over traditional machine learning in computer-aided diagnosis of brain disorders.
arxiv
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity [PDF]
Functional connectivity network (FCN) data from functional magnetic resonance imaging (fMRI) is increasingly used for the diagnoses of brain disorders. However, state-of-the-art studies used to build the FCN using a single brain parcellation atlas at a certain spatial scale, which largely neglected functional interactions across different spatial ...
arxiv
This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong+11 more
wiley +1 more source
Objectives: To explore current hospital practice in relation to the assessment of vision problems in patients with acquired brain injury. Design: A survey study.
Trine Schow+4 more
doaj +1 more source
Computational Pathology for Brain Disorders [PDF]
Non-invasive brain imaging techniques allow understanding the behavior and macro changes in the brain to determine the progress of a disease. However, computational pathology provides a deeper understanding of brain disorders at cellular level, able to consolidate a diagnosis and make the bridge between the medical image and the omics analysis.
arxiv