Objectives: To explore current hospital practice in relation to the assessment of vision problems in patients with acquired brain injury.
Design: A survey study.
Subjects: A total of 143 respondents from hospital settings, with background in occupational therapy and physical therapy, participated in the survey.
Methods: The survey questionnaire, developed collaboratively by Danish and Norwegian research groups, encompassed 22 items categorically covering "Background information", "Clinical experience and current practice", "Vision assessment tools and protocols", and "Assessment barriers". It was sent out online, to 29 different hospital departments and 18 separate units for occupational therapists and physiotherapists treating patients with acquired brain injury.
Results: Most respondents worked in acute or subacute hospital settings. Few departments had an interdisciplinary vision team, and very few therapists had formal education in visual problems after acquired brain injury. Visual assessment practices varied, and there was limited use of standardized tests. Barriers to identifying visual problems included patient-related challenges, knowledge gaps, and resource limitations.
Conclusion: The study emphasized the need for enhanced interdisciplinary collaboration, formal education, and standardized assessments to address visual problems after acquired brain injury. Overcoming these challenges may improve identification and management, ultimately contributing to better patient care and outcomes in the future.
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http://dx.doi.org/10.2340/jrm.v56.28793 | DOI Listing |
MAGMA
January 2025
Imaging Physics, Fraunhofer Institute for Digital Medicine MEVIS, Max-von-Laue-Straße 2, 28359, Bremen, Germany.
Objectives: Caffeine, a known neurostimulant and adenosine antagonist, affects brain physiology by decreasing cerebral blood flow. It interacts with adenosine receptors to induce vasoconstriction, potentially disrupting brain homeostasis. However, the impact of caffeine on blood-brain barrier (BBB) permeability to water remains underexplored.
View Article and Find Full Text PDFNutrients
January 2025
Department of Psychiatry and Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Background/objectives: While studies in rat pups suggest that early zinc exposure is critical for optimal brain structure and function, associations of prenatal zinc intake with measures of brain development in infants are unknown. This study aimed to assess the associations of maternal zinc intake during pregnancy with MRI measures of brain tissue microstructure and neurodevelopmental outcomes, as well as to determine whether MRI measures of the brain mediated the relationship between maternal zinc intake and neurodevelopmental indices.
Methods: Forty-one adolescent mothers were recruited for a longitudinal study during pregnancy.
Sensors (Basel)
January 2025
Department of Electrical Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates.
Accurately identifying and discriminating between different brain states is a major emphasis of functional brain imaging research. Various machine learning techniques play an important role in this regard. However, when working with a small number of study participants, the lack of sufficient data and achieving meaningful classification results remain a challenge.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore 308433, Singapore.
Alzheimer's disease (AD) is characterised by progressive neurodegeneration with the formation of amyloid beta (Aβ) plaques and neurofibrillary tau tangles in the brain parenchyma. The causes of AD have been attributed to a combination of age-related changes within the brain as well as genetic, environmental and lifestyle factors. However, a recent study by Banerjee et al.
View Article and Find Full Text PDFGenes (Basel)
December 2024
Institute for Complex Systems and Mathematical Biology, King's College, University of Aberdeen, Old Aberdeen AB24 3UE, UK.
Background/objectives: A prominent endophenotype in Autism Spectrum Disorder (ASD) is the synaptic plasticity dysfunction, yet the molecular mechanism remains elusive. As a prototype, we investigate the postsynaptic signal transduction network in glutamatergic neurons and integrate single-cell nucleus transcriptomics data from the Prefrontal Cortex (PFC) to unveil the malfunction of translation control.
Methods: We devise an innovative and highly dependable pipeline to transform our acquired signal transduction network into an mRNA Signaling-Regulatory Network (mSiReN) and analyze it at the RNA level.
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