Optimizing the intrinsic parallel diffusivity in NODDI: An extensive empirical evaluation


Autoři: Jose M. Guerrero aff001;  Nagesh Adluru aff002;  Barbara B. Bendlin aff003;  H. Hill Goldsmith aff002;  Stacey M. Schaefer aff005;  Richard J. Davidson aff005;  Steven R. Kecskemeti aff002;  Hui Zhang aff006;  Andrew L. Alexander aff001
Působiště autorů: Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, United States of America aff001;  Waisman Center, University of Wisconsin - Madison, Madison, WI, United States of America aff002;  Department of Medicine, University of Wisconsin - Madison, Madison, WI, United States of America aff003;  Department of Psychology, University of Wisconsin - Madison, Madison, WI, United States of America aff004;  Center for Healthy Minds, University of Wisconsin - Madison, Madison, WI, United States of America aff005;  Department of Computer Science, University College London, London, United Kingdom aff006
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: 10.1371/journal.pone.0217118

Souhrn

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.

Klíčová slova:

Age groups – Central nervous system – Data acquisition – Diffusion tensor imaging – Neonates – Neuroimaging – Neurites – Diffusion magnetic resonance imaging


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PLOS One


2019 Číslo 9

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