Longitudinal reliability of tract‐based spatial statistics in diffusion tensor imaging. Issue 9 (3rd April 2014)
- Record Type:
- Journal Article
- Title:
- Longitudinal reliability of tract‐based spatial statistics in diffusion tensor imaging. Issue 9 (3rd April 2014)
- Main Title:
- Longitudinal reliability of tract‐based spatial statistics in diffusion tensor imaging
- Authors:
- Madhyastha, Tara
Mérillat, Susan
Hirsiger, Sarah
Bezzola, Ladina
Liem, Franziskus
Grabowski, Thomas
Jäncke, Lutz - Abstract:
- <abstract abstract-type="main"> <title>Abstract</title> <p>Relatively little is known about reliability of longitudinal diffusion‐tensor imaging (DTI) measurements despite growing interest in using DTI to track change in white matter structure. The purpose of this study is to quantify within‐ and between session scan‐rescan reliability of DTI‐derived measures that are commonly used to describe the characteristics of neural white matter in the context of neural plasticity research. DTI data were acquired from 16 cognitively healthy older adults (mean age 68.4). We used the Tract‐Based Spatial Statistics (TBSS) approach implemented in FSL, evaluating how different DTI preprocessing choices affect reliability indices. Test‐Retest reliability, quantified as ICC averaged across the voxels of the TBSS skeleton, ranged from 0.524 to 0.798 depending on the specific DTI‐derived measure and the applied preprocessing steps. The two main preprocessing steps that we found to improve TBSS reliability were (a) the use of a common individual template and (b) smoothing DTI data using a 1‐voxel median filter. Overall our data indicate that small choices in the preprocessing pipeline have a significant effect on test‐retest reliability, therefore influencing the power to detect change within a longitudinal study. Furthermore, differences in the data processing pipeline limit the comparability of results across studies. <italic>Hum Brain Mapp 35:4544–4555, 2014</italic>. © <bold>2014 Wiley<abstract abstract-type="main"> <title>Abstract</title> <p>Relatively little is known about reliability of longitudinal diffusion‐tensor imaging (DTI) measurements despite growing interest in using DTI to track change in white matter structure. The purpose of this study is to quantify within‐ and between session scan‐rescan reliability of DTI‐derived measures that are commonly used to describe the characteristics of neural white matter in the context of neural plasticity research. DTI data were acquired from 16 cognitively healthy older adults (mean age 68.4). We used the Tract‐Based Spatial Statistics (TBSS) approach implemented in FSL, evaluating how different DTI preprocessing choices affect reliability indices. Test‐Retest reliability, quantified as ICC averaged across the voxels of the TBSS skeleton, ranged from 0.524 to 0.798 depending on the specific DTI‐derived measure and the applied preprocessing steps. The two main preprocessing steps that we found to improve TBSS reliability were (a) the use of a common individual template and (b) smoothing DTI data using a 1‐voxel median filter. Overall our data indicate that small choices in the preprocessing pipeline have a significant effect on test‐retest reliability, therefore influencing the power to detect change within a longitudinal study. Furthermore, differences in the data processing pipeline limit the comparability of results across studies. <italic>Hum Brain Mapp 35:4544–4555, 2014</italic>. © <bold>2014 Wiley Periodicals, Inc.</bold></p> </abstract> … (more)
- Is Part Of:
- Human brain mapping. Volume 35:Issue 9(2014:Sep.)
- Journal:
- Human brain mapping
- Issue:
- Volume 35:Issue 9(2014:Sep.)
- Issue Display:
- Volume 35, Issue 9 (2014)
- Year:
- 2014
- Volume:
- 35
- Issue:
- 9
- Issue Sort Value:
- 2014-0035-0009-0000
- Page Start:
- 4544
- Page End:
- 4555
- Publication Date:
- 2014-04-03
- Subjects:
- Brain mapping -- Periodicals
611.81 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0193 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/hbm.22493 ↗
- Languages:
- English
- ISSNs:
- 1065-9471
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4336.031000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3015.xml