Literature DB >> 36098477

Test-retest reliability of diffusion tensor imaging scalars in 5-year-olds.

Aylin Rosberg1,2,3, Jetro J Tuulari1,2,4, Venla Kumpulainen1, Minna Lukkarinen1,5, Elmo P Pulli1, Eero Silver1, Anni Copeland1, Ekaterina Saukko3, Jani Saunavaara6, John D Lewis7, Linnea Karlsson1,2,5,8, Hasse Karlsson1,2,8, Harri Merisaari1,3.   

Abstract

Diffusion tensor imaging (DTI) has provided great insights into the microstructural features of the developing brain. However, DTI images are prone to several artifacts and the reliability of DTI scalars is of paramount importance for interpreting and generalizing the findings of DTI studies, especially in the younger population. In this study, we investigated the intrascan test-retest repeatability of four DTI scalars: fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) in 5-year-old children (N = 67) with two different data preprocessing approaches: a volume censoring pipeline and an outlier replacement pipeline. We applied a region of interest (ROI) and a voxelwise analysis after careful quality control, tensor fitting and tract-based spatial statistics. The data had three subsets and each subset included 31, 32, or 33 directions thus a total of 96 unique uniformly distributed diffusion encoding directions per subject. The repeatability of DTI scalars was evaluated with intraclass correlation coefficient (ICC(3,1)) and the variability between test and retest subsets. The results of both pipelines yielded good to excellent (ICC(3,1) > 0.75) reliability for most of the ROIs and an overall low variability (<10%). In the voxelwise analysis, FA and RD had higher ICC(3,1) values compared to AD and MD and the variability remained low (<12%) across all scalars. Our results suggest high intrascan repeatability in pediatric DTI and lend confidence to the use of the data in future cross-sectional and longitudinal studies.
© 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

Entities:  

Keywords:  ICC; TBSS; analysis workflows; pediatric DTI; test-retest repeatability

Mesh:

Year:  2022        PMID: 36098477      PMCID: PMC9582361          DOI: 10.1002/hbm.26064

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.399


  51 in total

1.  Assessing the performance of different DTI motion correction strategies in the presence of EPI distortion correction.

Authors:  Paul A Taylor; A Alhamud; Andre van der Kouwe; Muhammad G Saleh; Barbara Laughton; Ernesta Meintjes
Journal:  Hum Brain Mapp       Date:  2016-07-20       Impact factor: 5.038

Review 2.  Principles of diffusion tensor imaging and its applications to basic neuroscience research.

Authors:  Susumu Mori; Jiangyang Zhang
Journal:  Neuron       Date:  2006-09-07       Impact factor: 17.173

3.  Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template.

Authors:  Susumu Mori; Kenichi Oishi; Hangyi Jiang; Li Jiang; Xin Li; Kazi Akhter; Kegang Hua; Andreia V Faria; Asif Mahmood; Roger Woods; Arthur W Toga; G Bruce Pike; Pedro Rosa Neto; Alan Evans; Jiangyang Zhang; Hao Huang; Michael I Miller; Peter van Zijl; John Mazziotta
Journal:  Neuroimage       Date:  2008-01-03       Impact factor: 6.556

4.  Retrospective head motion correction approaches for diffusion tensor imaging: Effects of preprocessing choices on biases and reproducibility of scalar diffusion metrics.

Authors:  Barbara A K Kreilkamp; Domenico Zacà; Nico Papinutto; Jorge Jovicich
Journal:  J Magn Reson Imaging       Date:  2015-06-07       Impact factor: 4.813

Review 5.  A review of diffusion MRI of typical white matter development from early childhood to young adulthood.

Authors:  Catherine Lebel; Sarah Treit; Christian Beaulieu
Journal:  NMR Biomed       Date:  2017-09-08       Impact factor: 4.044

Review 6.  The development of brain white matter microstructure.

Authors:  Catherine Lebel; Sean Deoni
Journal:  Neuroimage       Date:  2018-01-03       Impact factor: 6.556

7.  Changes in brain weights during the span of human life: relation of brain weights to body heights and body weights.

Authors:  A S Dekaban
Journal:  Ann Neurol       Date:  1978-10       Impact factor: 10.422

8.  Motion artifact reduction in pediatric diffusion tensor imaging using fast prospective correction.

Authors:  A Alhamud; Paul A Taylor; Barbara Laughton; André J W van der Kouwe; Ernesta M Meintjes
Journal:  J Magn Reson Imaging       Date:  2014-06-17       Impact factor: 4.813

9.  Head motion during fMRI tasks is reduced in children and adults if participants take breaks.

Authors:  Tobias W Meissner; Jon Walbrin; Marisa Nordt; Kami Koldewyn; Sarah Weigelt
Journal:  Dev Cogn Neurosci       Date:  2020-05-29       Impact factor: 6.464

10.  Feasibility of FreeSurfer Processing for T1-Weighted Brain Images of 5-Year-Olds: Semiautomated Protocol of FinnBrain Neuroimaging Lab.

Authors:  Elmo P Pulli; Eero Silver; Venla Kumpulainen; Anni Copeland; Harri Merisaari; Jani Saunavaara; Riitta Parkkola; Tuire Lähdesmäki; Ekaterina Saukko; Saara Nolvi; Eeva-Leena Kataja; Riikka Korja; Linnea Karlsson; Hasse Karlsson; Jetro J Tuulari
Journal:  Front Neurosci       Date:  2022-05-02       Impact factor: 4.677

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  1 in total

1.  Test-retest reliability of diffusion tensor imaging scalars in 5-year-olds.

Authors:  Aylin Rosberg; Jetro J Tuulari; Venla Kumpulainen; Minna Lukkarinen; Elmo P Pulli; Eero Silver; Anni Copeland; Ekaterina Saukko; Jani Saunavaara; John D Lewis; Linnea Karlsson; Hasse Karlsson; Harri Merisaari
Journal:  Hum Brain Mapp       Date:  2022-09-13       Impact factor: 5.399

  1 in total

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