Estimating the age of healthy infants from quantitative myelin water fraction maps
-
- Douglas C. Dean
- Advanced Baby Imaging Lab, School of Engineering, Brown University Providence Rhode Island
-
- Jonathan O'Muircheartaigh
- Advanced Baby Imaging Lab, School of Engineering, Brown University Providence Rhode Island
-
- Holly Dirks
- Advanced Baby Imaging Lab, School of Engineering, Brown University Providence Rhode Island
-
- Nicole Waskiewicz
- Advanced Baby Imaging Lab, School of Engineering, Brown University Providence Rhode Island
-
- Katie Lehman
- Advanced Baby Imaging Lab, School of Engineering, Brown University Providence Rhode Island
-
- Lindsay Walker
- Advanced Baby Imaging Lab, School of Engineering, Brown University Providence Rhode Island
-
- Irene Piryatinsky
- Advanced Baby Imaging Lab, School of Engineering, Brown University Providence Rhode Island
-
- Sean C.L. Deoni
- Advanced Baby Imaging Lab, School of Engineering, Brown University Providence Rhode Island
説明
<jats:title>Abstract</jats:title><jats:p>The trajectory of the developing brain is characterized by a sequence of complex, nonlinear patterns that occur at systematic stages of maturation. Although significant prior neuroimaging research has shed light on these patterns, the challenge of accurately characterizing brain maturation, and identifying areas of accelerated or delayed development, remains. Altered brain development, particularly during the earliest stages of life, is believed to be associated with many neurological and neuropsychiatric disorders. In this work, we develop a framework to construct voxel‐wise estimates of brain age based on magnetic resonance imaging measures sensitive to myelin content. 198 myelin water fraction (VF<jats:sub>M</jats:sub>) maps were acquired from healthy male and female infants and toddlers, 3 to 48 months of age, and used to train a sigmoidal‐based maturational model. The validity of the approach was then established by testing the model on 129 different VF<jats:sub>M</jats:sub> datasets. Results revealed the approach to have high accuracy, with a mean absolute percent error of 13% in males and 14% in females, and high predictive ability, with correlation coefficients between estimated and true ages of 0.945 in males and 0.94 in females. This work represents a new approach toward mapping brain maturity, and may provide a more faithful staging of brain maturation in infants beyond chronological or gestation‐corrected age, allowing earlier identification of atypical regional brain development. <jats:italic>Hum Brain Mapp 36:1233–1244, 2015</jats:italic>. © <jats:bold>2015 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc</jats:bold>.</jats:p>
収録刊行物
-
- Human Brain Mapping
-
Human Brain Mapping 36 (4), 1233-1244, 2015-01-30
Wiley