Literature DB >> 19132355

Diffusion tensor imaging: the normal evolution of ADC, RA, FA, and eigenvalues studied in multiple anatomical regions of the brain.

Ulrike Löbel1, Jan Sedlacik, Daniel Güllmar, Werner A Kaiser, Jürgen R Reichenbach, Hans-Joachim Mentzel.   

Abstract

INTRODUCTION: The aim of our work was to investigate the process of myelination in healthy patients using the diffusion parameters apparent diffusion coefficient (ADC), relative anisotropy (RA), fractional anisotropy (FA), and eigenvalues. Age-dependent changes were assessed using the slope m of the fit functions that best described the data.
MATERIALS AND METHODS: Seventy-two patients (3 weeks-19 years) without pathological magnetic resonance imaging findings were selected from all pediatric patients scanned with diffusion tensor imaging over a 5-year period at our institution. ADC, RA, FA, and eigenvalue maps were calculated and regions of interest were selected in anterior/posterior pons, genu/splenium of corpus callosum (CC), anterior/posterior limb of internal capsule (IC), and white matter (WM) regions (frontal, temporal, parietal, occipital WM). Statistical analysis was performed using Spearman correlation coefficient and regression analysis.
RESULTS: Mean values ranged 71.6 x 10(-5) to 90.3 x 10(-5) mm(2)/s (pons/parietal WM) for ADC, 0.32-0.94 (frontal WM/CC) for RA, and 0.36-0.81 (frontal WM/splenium) for FA. Logarithmic fit functions best described the data. Strong age influences were observed for CC, pons, and parietal/frontal WM and changes were significant for all three eigenvalues, most pronounced for perpendicular eigenvalues. Changes in RA and FA differed depending on the structure anisotropy.
CONCLUSIONS: Changes observed for ADC, RA, FA, and eigenvalues with age were consistent with previous findings. Changes detected for RA and FA varied due to the different scaling of both parameters. We found that the use of the largely linear scaled RA adds more valuable information for the assessment of age-dependent structural changes as compared to FA. Additionally, we report normative values for the diffusion parameters studied.

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Year:  2009        PMID: 19132355     DOI: 10.1007/s00234-008-0488-1

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  39 in total

1.  Brain development during childhood and adolescence: a longitudinal MRI study.

Authors:  J N Giedd; J Blumenthal; N O Jeffries; F X Castellanos; H Liu; A Zijdenbos; T Paus; A C Evans; J L Rapoport
Journal:  Nat Neurosci       Date:  1999-10       Impact factor: 24.884

2.  Sex differences in brain maturation during childhood and adolescence.

Authors:  M D De Bellis; M S Keshavan; S R Beers; J Hall; K Frustaci; A Masalehdan; J Noll; A M Boring
Journal:  Cereb Cortex       Date:  2001-06       Impact factor: 5.357

Review 3.  Basic principles of diffusion-weighted imaging.

Authors:  Roland Bammer
Journal:  Eur J Radiol       Date:  2003-03       Impact factor: 3.528

4.  Comparisons of regional white matter diffusion in healthy neonates and adults performed with a 3.0-T head-only MR imaging unit.

Authors:  Guihua Zhai; Weili Lin; Kathy P Wilber; Guido Gerig; John H Gilmore
Journal:  Radiology       Date:  2003-12       Impact factor: 11.105

5.  Diffusion-weighted MRI of myelination in the rat brain following treatment with gonadal hormones.

Authors:  D Prayer; T Roberts; A J Barkovich; L Prayer; J Kucharczyk; M Moseley; A Arieff
Journal:  Neuroradiology       Date:  1997-05       Impact factor: 2.804

Review 6.  Concepts of myelin and myelination in neuroradiology.

Authors:  A J Barkovich
Journal:  AJNR Am J Neuroradiol       Date:  2000 Jun-Jul       Impact factor: 3.825

7.  Normal brain maturation during childhood: developmental trends characterized with diffusion-tensor MR imaging.

Authors:  P Mukherjee; J H Miller; J S Shimony; T E Conturo; B C Lee; C R Almli; R C McKinstry
Journal:  Radiology       Date:  2001-11       Impact factor: 11.105

8.  Quantitative analysis of diffusion tensor orientation: theoretical framework.

Authors:  Yu-Chien Wu; Aaron S Field; Moo K Chung; Benham Badie; Andrew L Alexander
Journal:  Magn Reson Med       Date:  2004-11       Impact factor: 4.668

9.  Fast quantitative diffusion-tensor imaging of cerebral white matter from the neonatal period to adolescence.

Authors:  J F L Schneider; K A Il'yasov; J Hennig; E Martin
Journal:  Neuroradiology       Date:  2004-03-04       Impact factor: 2.804

10.  Diffusion tensor imaging: serial quantitation of white matter tract maturity in premature newborns.

Authors:  Savannah C Partridge; Pratik Mukherjee; Roland G Henry; Steven P Miller; Jeffrey I Berman; Hua Jin; Ying Lu; Orit A Glenn; Donna M Ferriero; A James Barkovich; Daniel B Vigneron
Journal:  Neuroimage       Date:  2004-07       Impact factor: 6.556

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  44 in total

1.  Multi-contrast human neonatal brain atlas: application to normal neonate development analysis.

Authors:  Kenichi Oishi; Susumu Mori; Pamela K Donohue; Thomas Ernst; Lynn Anderson; Steven Buchthal; Andreia Faria; Hangyi Jiang; Xin Li; Michael I Miller; Peter C M van Zijl; Linda Chang
Journal:  Neuroimage       Date:  2011-01-26       Impact factor: 6.556

2.  White matter maturation reshapes structural connectivity in the late developing human brain.

Authors:  P Hagmann; O Sporns; N Madan; L Cammoun; R Pienaar; V J Wedeen; R Meuli; J-P Thiran; P E Grant
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-18       Impact factor: 11.205

3.  Diffusion tensor imaging-based characterization of brain neurodevelopment in primates.

Authors:  Yundi Shi; Sarah J Short; Rebecca C Knickmeyer; Jiaping Wang; Christopher L Coe; Marc Niethammer; John H Gilmore; Hongtu Zhu; Martin A Styner
Journal:  Cereb Cortex       Date:  2012-01-23       Impact factor: 5.357

4.  Body growth and brain development in premature babies: an MRI study.

Authors:  Loukia C Tzarouchi; Aikaterini Drougia; Anastasia Zikou; Paraskevi Kosta; Loukas G Astrakas; Styliani Andronikou; Maria I Argyropoulou
Journal:  Pediatr Radiol       Date:  2013-11-05

5.  Maturational Changes in Human Dorsal and Ventral Visual Networks.

Authors:  Kristina T R Ciesielski; Moriah E Stern; Adele Diamond; Sheraz Khan; Evelina A Busa; Timothy E Goldsmith; Andre van der Kouwe; Bruce Fischl; Bruce R Rosen
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

6.  Brain microstructural development at near-term age in very-low-birth-weight preterm infants: an atlas-based diffusion imaging study.

Authors:  Jessica Rose; Rachel Vassar; Katelyn Cahill-Rowley; Ximena Stecher Guzman; David K Stevenson; Naama Barnea-Goraly
Journal:  Neuroimage       Date:  2013-10-01       Impact factor: 6.556

7.  More insights into early brain development through statistical analyses of eigen-structural elements of diffusion tensor imaging using multivariate adaptive regression splines.

Authors:  Yasheng Chen; Hongtu Zhu; Hongyu An; Diane Armao; Dinggang Shen; John H Gilmore; Weili Lin
Journal:  Brain Struct Funct       Date:  2013-03-01       Impact factor: 3.270

8.  Normal centrolineal myelination of the callosal splenium reflects the development of the cortical origin and size of its commissural fibers.

Authors:  Matthew T Whitehead; Anand Raju; Asim F Choudhri
Journal:  Neuroradiology       Date:  2014-01-26       Impact factor: 2.804

9.  Reprint of "Quantitative evaluation of brain development using anatomical MRI and diffusion tensor imaging".

Authors:  Kenichi Oishi; Andreia V Faria; Shoko Yoshida; Linda Chang; Susumu Mori
Journal:  Int J Dev Neurosci       Date:  2013-12-02       Impact factor: 2.457

Review 10.  Adolescent brain development and depression: A case for the importance of connectivity of the anterior cingulate cortex.

Authors:  Sarah D Lichenstein; Timothy Verstynen; Erika E Forbes
Journal:  Neurosci Biobehav Rev       Date:  2016-07-25       Impact factor: 8.989

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