Background: Very low birth weight preterm infants show neuropsychological alterations in functions such as memory or visuospatial skills, although certain related functions, such as spatial orientation, have not been studied.
Objectives: To compare children born preterm and at term between the ages of 5 and 7 years on egocentric and allocentric spatial orientation, and relate their performance to visuospatial skills, behavior, memory in daily environments, and perinatal risk factors.
Study Design: Observational cross-sectional study.
Subjects: 88 very low birth weight children born preterm and 59 controls.
Outcome Measures: IQ (RIST), visuospatial skills (NEPSY II: Route Finding and Geometric Puzzles), spatial orientation (Egocentric and Allocentric Spatial Memory Test - Children's Version), behavior (BASC questionnaire for parents), memory in everyday environments (ECM-Q questionnaire for parents), and perinatal risk factors (collected from medical records).
Results: Children born preterm obtain significantly lower scores than controls on the RIST, Route Finding, and Allocentric Spatial Memory Tests. Although spatial orientation is related to other neuropsychological variables in both premature and control children, there is no meaningful association with behavior or daily memory in children born preterm. The perinatal risk factors that are associated the most with visuospatial and orientation problems are surgical procedures and peri- and intraventricular hemorrhages.
Conclusions: Children born preterm with low birth weight present difficulties in their spatial orientation, and for this reason, we propose including these types of tasks in the usual neuropsychological evaluation.
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http://dx.doi.org/10.1016/j.earlhumdev.2019.104947 | DOI Listing |
Alzheimers Dement
December 2024
LCBC, University of Oslo, Oslo, Norway.
Background: Grid cells are spatially modulated cells in the entorhinal cortex (EC) that fire in a hexagonally patterned grid which tiles the environment. These cells are assumed important in human spatial navigation. The EC is vulnerable to neurodegenerative processes in both normal aging and Alzheimer's disease and decline in grid cell function may be a key factor in understanding age-related navigational decline.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Institute of Neuroscience - UCLouvain, Brussels, Belgium.
Background: The medial temporal lobe (MTL) is the first cortical region affected by tauopathy in Alzheimer's disease (AD) and is implicated in spatial orientation. In early AD stages, navigation deficits, including path integration deficits, could be present, even before memory deficits. We investigated whether these deficits were related to AD pathology (amyloidosis and/or tauopathy) using a path integration task, the "Apple Game".
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Clinical Hospital of the Ribeirão Preto Medical School of the University of São Paulo (HCFMRP-USP), Ribeirão Preto, São Paulo, Brazil.
Background: Spatial orientation involves egocentric and allocentric strategies that switch in the brain. Disturbances in switching may indicate Neurocognitive Disorders, which contribute to early detection of Alzheimer's Disease. The "Ego-Allo-Switching Task" (EAST) needs to be adapted for cross-cultural use in Brazil.
View Article and Find Full Text PDFSci Rep
January 2025
School of Spatial Planning and Design, Hangzhou City University, Hangzhou, 310015, China.
Marine climate significantly influences the spatial morphology of coastal village's streets. However, research on coastal villages lacks spatial parameterization analysis that can cope with the complex climatic environment. Focusing on the coastal village's street in Fuzhou City, China, this paper studies the relationship between street space morphology and the impact of extreme heat and wind conditions.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Via Opera Pia 13, I-16145, Genoa, Italy.
Mixed signal analog/digital neuromorphic circuits represent an ideal medium for reproducing bio-physically realistic dynamics of biological neural systems in real-time. However, similar to their biological counterparts, these circuits have limited resolution and are affected by a high degree of variability. By developing a recurrent spiking neural network model of the retinocortical visual pathway, we show how such noisy and heterogeneous computing substrate can produce linear receptive fields tuned to visual stimuli with specific orientations and spatial frequencies.
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