Year: 2019
Type: article
Abstract: PURPOSE: NODDI is widely used in parameterizing microstructural brain properties. The model includes three signal compartments: intracellular, extracellular, and free water. The neurite compartment intrinsic parallel diffusivity (d∥) is set to 1.7 μm2⋅ms-1, though the effects of this assumption have not been extensively explored. This work investigates the optimality of d∥ = 1.7 μm2⋅ms-1 under varying imaging protocol, age groups, sex, and tissue type in comparison to other biologically plausible values of d∥. METHODS: Model residuals were used as the optimality criterion. The model residuals were evaluated in function of d∥ over the range from 0.5 to 3.0 μm2⋅ms-1. This was done with respect to tissue type (i.e., white matter versus gray matter), sex, age (infancy to late adulthood), and diffusion-weighting protocol (maximum b-value). Variation in the estimated parameters with respect to d∥ was also explored. RESULTS: Results show d∥ = 1.7 μm2⋅ms-1 is appropriate for adult brain white matter but it is suboptimal for gray matter with optimal values being significantly lower. d∥ = 1.7 μm2⋅ms-1 was also suboptimal in the infant brain for both white and gray matter with optimal values being significantly lower. Minor optimum d∥ differences were observed versus diffusion protocol. No significant sex effects were observed. Additionally, changes in d∥ resulted in significant changes to the estimated NODDI parameters. CONCLUSION: The default (d∥) of 1.7 μm2⋅ms-1 is suboptimal in gray matter and infant brains.
Source: PLoS ONE
Institutions: University of Wisconsin–Madison, University College London
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,595
Funders: National Science Foundation, Bill and Melinda Gates Foundation, Waisman Center, National Institutes of Health, Intellectual and Developmental Disabilities Research Center, National Institute on Aging, National Institute of Mental Health, National Cancer Institute, National Institute of Allergy and Infectious Diseases, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Institute of Child Health and Human Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: G1082231913, G1384629155, G1417337112, G1536938475, G1742644352, G2339885186, G2360966051, G2652720658, G2791171891, G2981367715, G3152294994, G3604002793, G4536884518, G5282000392, G535778818, G567083248, G5741685586, Algebraic Formulations for Characterizing Structural Brain Connectivity Changes and Pathology Transmission Networks in Preclinical Alzheimer's Disease, G625697730, G631053645, Early neurodevelopment origins of anxiety, G721617848, Integrative Pathways to Health and Illness, G819432841, Risk for Child Psychopathology: A Twin-Study Perspective, Neural Substrates of Affective Style and Emotion Regulation, G9000006677, G9000007361, G9000107395, G9000121162, G9000146406, G9000165211, G9000194719, G9000198685, G9000208846, G9000283425, G9000291250, G9000316913
OpenAlex ID: W2975734873