Year: 2017
Type: article
Study design: Observational Study
Abstract: In diffusion tensor imaging, structural connectivity between brain regions is often measured by the number of white matter fiber tracts connecting them. Other features such as the length of tracts or fractional anisotropy (FA) are also used in measuring the strength of connectivity. In this study, we investigated the effects of incorporating the number of tracts, the tract length, and FA values into the connectivity model. Using various node-degree-based graph theory features, the three connectivity models are compared. The methods are applied in characterizing structural networks between normal controls and maltreated children, who experienced maltreatment while living in postinstitutional settings before being adopted by families in the United States.
Source: Brain Connectivity
Institutions: University of Wisconsin–Madison, University of Pittsburgh
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
Funders: University of Wisconsin-Madison, National Institutes of Health, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering, National Center for Advancing Translational Sciences, National Center for Complementary and Integrative Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain, G535778818, Neurobehavioral Correlates of Early Deprivation, Institutional Clinical and Translational Science Award, Early neurodevelopment origins of anxiety, Wisconsin Center for the Neuroscience and Psychophysiology of Meditation, Neurobehavioral Bases of Emotion Regulation and Dysregulation in Adolescence, G9000046253, G9000183308, G9000198685, G9000237995, G9000291250, G938334592
OpenAlex ID: W2949464063