Literature DB >> 26724777

Age effects and sex differences in human brain white matter of young to middle-aged adults: A DTI, NODDI, and q-space study.

Chandana Kodiweera1, Andrew L Alexander2, Jaroslaw Harezlak3, Thomas W McAllister4, Yu-Chien Wu5.   

Abstract

Microstructural changes in human brain white matter of young to middle-aged adults were studied using advanced diffusion Magnetic Resonance Imaging (dMRI). Multiple shell diffusion-weighted data were acquired using the Hybrid Diffusion Imaging (HYDI). The HYDI method is extremely versatile and data were analyzed using Diffusion Tensor Imaging (DTI), Neurite Orientation Dispersion and Density Imaging (NODDI), and q-space imaging approaches. Twenty-four females and 23 males between 18 and 55years of age were included in this study. The impact of age and sex on diffusion metrics were tested using least squares linear regressions in 48 white matter regions of interest (ROIs) across the whole brain and adjusted for multiple comparisons across ROIs. In this study, white matter projections to either the hippocampus or the cerebral cortices were the brain regions most sensitive to aging. Specifically, in this young to middle-aged cohort, aging effects were associated with more dispersion of white matter fibers while the tissue restriction and intra-axonal volume fraction remained relatively stable. The fiber dispersion index of NODDI exhibited the most pronounced sensitivity to aging. In addition, changes of the DTI indices in this aging cohort were correlated mostly with the fiber dispersion index rather than the intracellular volume fraction of NODDI or the q-space measurements. While men and women did not differ in the aging rate, men tend to have higher intra-axonal volume fraction than women. This study demonstrates that advanced dMRI using a HYDI acquisition and compartmental modeling of NODDI can elucidate microstructural alterations that are sensitive to age and sex. Finally, this study provides insight into the relationships between DTI diffusion metrics and advanced diffusion metrics of NODDI model and q-space imaging.
Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Axonal density; Diffusion tensor; Fractional anisotropy; Intra-cellular volume fraction; NODDI; Orientation dispersion index; Sex; White matter

Mesh:

Year:  2015        PMID: 26724777      PMCID: PMC4824064          DOI: 10.1016/j.neuroimage.2015.12.033

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  69 in total

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Authors:  Arash Nazeri; M Mallar Chakravarty; David J Rotenberg; Tarek K Rajji; Yogesh Rathi; Oleg V Michailovich; Aristotle N Voineskos
Journal:  J Neurosci       Date:  2015-01-28       Impact factor: 6.167

2.  Age-related microstructural differences quantified using myelin water imaging and advanced diffusion MRI.

Authors:  Thibo Billiet; Mathieu Vandenbulcke; Burkhard Mädler; Ronald Peeters; Thijs Dhollander; Hui Zhang; Sabine Deprez; Bea R H Van den Bergh; Stefan Sunaert; Louise Emsell
Journal:  Neurobiol Aging       Date:  2015-03-07       Impact factor: 4.673

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Journal:  Neuroimage       Date:  2014-03-28       Impact factor: 6.556

4.  Brain tissue compartment density estimated using diffusion-weighted MRI yields tissue parameters consistent with histology.

Authors:  Farshid Sepehrband; Kristi A Clark; Jeremy F P Ullmann; Nyoman D Kurniawan; Gayeshika Leanage; David C Reutens; Zhengyi Yang
Journal:  Hum Brain Mapp       Date:  2015-06-11       Impact factor: 5.038

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Review 6.  What is normal in normal aging? Effects of aging, amyloid and Alzheimer's disease on the cerebral cortex and the hippocampus.

Authors:  Anders M Fjell; Linda McEvoy; Dominic Holland; Anders M Dale; Kristine B Walhovd
Journal:  Prog Neurobiol       Date:  2014-02-16       Impact factor: 11.685

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Authors:  Chia-Wen Chiang; Yong Wang; Peng Sun; Tsen-Hsuan Lin; Kathryn Trinkaus; Anne H Cross; Sheng-Kwei Song
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8.  White Matter Changes of Neurite Density and Fiber Orientation Dispersion during Human Brain Maturation.

Authors:  Yi Shin Chang; Julia P Owen; Nicholas J Pojman; Tony Thieu; Polina Bukshpun; Mari L J Wakahiro; Jeffrey I Berman; Timothy P L Roberts; Srikantan S Nagarajan; Elliott H Sherr; Pratik Mukherjee
Journal:  PLoS One       Date:  2015-06-26       Impact factor: 3.240

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Authors:  Thibo Billiet; Burkhard Mädler; Felice D'Arco; Ronald Peeters; Sabine Deprez; Ellen Plasschaert; Alexander Leemans; Hui Zhang; Bea Van den Bergh; Mathieu Vandenbulcke; Eric Legius; Stefan Sunaert; Louise Emsell
Journal:  Neuroimage Clin       Date:  2014-04-13       Impact factor: 4.881

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  61 in total

1.  Whole brain analyses of age-related microstructural changes quantified using different diffusional magnetic resonance imaging methods.

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Journal:  Jpn J Radiol       Date:  2017-07-26       Impact factor: 2.374

Review 2.  Studying neuroanatomy using MRI.

Authors:  Jason P Lerch; André J W van der Kouwe; Armin Raznahan; Tomáš Paus; Heidi Johansen-Berg; Karla L Miller; Stephen M Smith; Bruce Fischl; Stamatios N Sotiropoulos
Journal:  Nat Neurosci       Date:  2017-02-23       Impact factor: 24.884

3.  Comparison of NODDI and spherical mean signal for measuring intra-neurite volume fraction.

Authors:  Hua Li; Rahul Nikam; Vinay Kandula; Ho Ming Chow; Arabinda K Choudhary
Journal:  Magn Reson Imaging       Date:  2018-11-26       Impact factor: 2.546

4.  Evolution of white matter tract microstructure across the life span.

Authors:  David A Slater; Lester Melie-Garcia; Martin Preisig; Ferath Kherif; Antoine Lutti; Bogdan Draganski
Journal:  Hum Brain Mapp       Date:  2019-01-23       Impact factor: 5.038

5.  Spinal cord injury induces widespread chronic changes in cerebral white matter.

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Journal:  Hum Brain Mapp       Date:  2017-04-21       Impact factor: 5.038

6.  Impact of the acquisition protocol on the sensitivity to demyelination and axonal loss of clinically feasible DWI techniques: a simulation study.

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Journal:  MAGMA       Date:  2021-01-08       Impact factor: 2.310

7.  Empirical reproducibility, sensitivity, and optimization of acquisition protocol, for Neurite Orientation Dispersion and Density Imaging using AMICO.

Authors:  Prasanna Parvathaneni; Vishwesh Nath; Justin A Blaber; Kurt G Schilling; Allison E Hainline; Ed Mojahed; Adam W Anderson; Bennett A Landman
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8.  Multipulse sodium magnetic resonance imaging for multicompartment quantification: Proof-of-concept.

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9.  Neurite orientation dispersion and density imaging can detect presymptomatic axonal degeneration in the spinal cord of ALS mice.

Authors:  R G Gatto; S M Mustafi; M Y Amin; T H Mareci; Yu-Chien Wu; R L Magin
Journal:  Funct Neurol       Date:  2018 Jul/Sept

Review 10.  Pathways to Brain Aging and Their Modifiers: Free-Radical-Induced Energetic and Neural Decline in Senescence (FRIENDS) Model - A Mini-Review.

Authors:  Naftali Raz; Ana M Daugherty
Journal:  Gerontology       Date:  2017-09-01       Impact factor: 5.140

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