Right, left, and center: How does cerebral asymmetry mix with callosal connectivity?
Year: 2012
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Prior research has shown that cerebral asymmetry is associated with differences in corpus callosum connectivity. Such associations were detected in histological and anatomical studies investigating callosal fiber size and density, in neuroimaging investigations based on structural and diffusion tensor imaging, as well as in neuropsychological experiments. However, little is known about typical associations between these factors, and even less about the relative influences of magnitude and direction of cerebral asymmetries. Here, we investigated relationships between callosal connectivity and cerebral asymmetry using precise measures of callosal thickness and selected cerebral structures. We considered both the direction and magnitude of the asymmetries. METHODS: Associations between cerebral asymmetry and callosal thickness were investigated in 348 cognitively healthy older individuals. RESULTS: The magnitude and direction of cerebral lateralization were significant independent predictors of callosal thickness. However, associations were small. Leftward asymmetry and increased magnitude of asymmetry were generally associated with increased callosal thickness, mostly in the callosal midbody and isthmus. CONCLUSIONS: When a large sample of normal individuals is considered, cerebral asymmetries are only subtly associated with callosal thickness.
Source: Human Brain Mapping
DOI: 10.1002/hbm.22022
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
Awards: Genetic influences on the brain: A twin imaging study, Computational Anatomy and Multidimensional Modeling, HARDI Mapping of Disease Effects on the Brain, Predictors of Alheimers Disease in Mild Cognitive Impairment, General Clinical Research Center, Center for Computational Biology (CCB)(RMI), A Multidimensional Alzheimer's Disease Brain Atlas, Computational Modeling of High-Field MR Images
OpenAlex ID: W2116364097
