Literature DB >> 34432153

In vivo restricted diffusion imaging (RDI) is sensitive to differences in axonal density in typical children and adults.

Dea Garic1, Fang-Cheng Yeh2, Paulo Graziano3, Anthony Steven Dick4.   

Abstract

The ability to dissociate axonal density in vivo from other microstructural properties is important for the diagnosis and treatment of neurologic disease, and new methods to do so are being developed. We investigated one such method-restricted diffusion imaging (RDI)-to see whether it can more accurately replicate histological axonal density patterns in the corpus callosum (CC) of adults and children compared to diffusion tensor imaging (DTI), neurite orientation dispersion and density imaging (NODDI), and generalized q-sampling imaging (GQI) methods. To do so, we compared known axonal density patterns defined by histology to diffusion-weighted imaging (DWI) scans of 840 healthy 20- to 40-year-old adults, and to DWI scans of 129 typically developing 7-month-old to 18-year-old children and adolescents. Contrast analyses were used to compare pattern similarities between the in vivo metric and previously published histological density models. We found that RDI was effective at mapping axonal density of small (Cohen's d = 2.60) and large fiber sizes (Cohen's d = 2.84) in adults. The same pattern was observed in the developing sample (Cohen's d = 3.09 and 3.78, respectively). Other metrics, notably NODDI's intracellular volume fraction in adults and GQI generalized fractional anisotropy in children, were also sensitive metrics. In conclusion, the study showed that the novel RDI metric is sensitive to density of small and large axons in adults and children, with both single- and multi-shell acquisition DWI data. Its effectiveness and availability to be used on standard as well as advanced DWI acquisitions makes it a promising method in clinical settings.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Axonal density; Diffusion tensor imaging (DTI); Neurite orientation dispersion and density imaging (NODDI); Restricted diffusion imaging (RDI)

Mesh:

Year:  2021        PMID: 34432153      PMCID: PMC9052337          DOI: 10.1007/s00429-021-02364-y

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.748


  55 in total

1.  Neurite density index is sensitive to age related differences in the developing brain.

Authors:  Sila Genc; Charles B Malpas; Scott K Holland; Richard Beare; Timothy J Silk
Journal:  Neuroimage       Date:  2017-01-11       Impact factor: 6.556

2.  Retrospective measurement of the diffusion tensor eigenvalues from diffusion anisotropy and mean diffusivity in DTI.

Authors:  Khader M Hasan; Ponnada A Narayana
Journal:  Magn Reson Med       Date:  2006-07       Impact factor: 4.668

3.  Neural correlates of nouns and verbs in early bilinguals.

Authors:  Alice H D Chan; Kang-Kwong Luke; Ping Li; Virginia Yip; Geng Li; Brendan Weekes; Li Hai Tan
Journal:  Ann N Y Acad Sci       Date:  2008-12       Impact factor: 5.691

4.  White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI.

Authors:  Derek K Jones; Thomas R Knösche; Robert Turner
Journal:  Neuroimage       Date:  2012-07-23       Impact factor: 6.556

5.  Stereological estimation of the total number of myelinated callosal fibers in human subjects.

Authors:  Jesper Riise; Bente Pakkenberg
Journal:  J Anat       Date:  2011-01-19       Impact factor: 2.610

6.  Axonal pathology and loss precede demyelination and accompany chronic lesions in a spontaneously occurring animal model of multiple sclerosis.

Authors:  Frauke Seehusen; Wolfgang Baumgärtner
Journal:  Brain Pathol       Date:  2009-08-26       Impact factor: 6.508

7.  Lateralization of the arcuate fasciculus from childhood to adulthood and its relation to cognitive abilities in children.

Authors:  Catherine Lebel; Christian Beaulieu
Journal:  Hum Brain Mapp       Date:  2009-11       Impact factor: 5.038

8.  Diffusion tensor imaging of normal white matter maturation from late childhood to young adulthood: voxel-wise evaluation of mean diffusivity, fractional anisotropy, radial and axial diffusivities, and correlation with reading development.

Authors:  Deqiang Qiu; Li-Hai Tan; Ke Zhou; Pek-Lan Khong
Journal:  Neuroimage       Date:  2008-02-29       Impact factor: 6.556

9.  Effectiveness of regional DTI measures in distinguishing Alzheimer's disease, MCI, and normal aging.

Authors:  Talia M Nir; Neda Jahanshad; Julio E Villalon-Reina; Arthur W Toga; Clifford R Jack; Michael W Weiner; Paul M Thompson
Journal:  Neuroimage Clin       Date:  2013-07-27       Impact factor: 4.881

10.  Converting Multi-Shell and Diffusion Spectrum Imaging to High Angular Resolution Diffusion Imaging.

Authors:  Fang-Cheng Yeh; Timothy D Verstynen
Journal:  Front Neurosci       Date:  2016-09-14       Impact factor: 4.677

View more
  3 in total

1.  A comparative study of the superior longitudinal fasciculus subdivisions between neonates and young adults.

Authors:  Wenjia Liang; Qiaowen Yu; Wenjun Wang; Thijs Dhollander; Emmanuel Suluba; Zhuoran Li; Feifei Xu; Yang Hu; Yuchun Tang; Shuwei Liu
Journal:  Brain Struct Funct       Date:  2022-09-17       Impact factor: 3.748

2.  Adverse childhood experiences predict neurite density differences in young children with and without attention deficit hyperactivity disorder.

Authors:  Megan M Hare; Anthony Steven Dick; Paulo A Graziano
Journal:  Dev Psychobiol       Date:  2022-01       Impact factor: 3.038

3.  Magnetic resonance tractography of the brachial plexus: step-by-step.

Authors:  Ibrahim Ibrahim; Antonín Škoch; Vít Herynek; Ivan Humhej; Jan Beran; Vlasta Flusserová; Eva Rolencová; Martina Juhaňáková; Michal Brzák; Markéta Nagy; Jaroslav Tintěra
Journal:  Quant Imaging Med Surg       Date:  2022-09
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.