Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study

Kilian M. Pohl, Edith V. Sullivan, Torsten Rohlfing, Weiwei Chu, Dongjin Kwon, B. Nolan Nichols, Yong Zhang, Sandra A. Brown, Susan F. Tapert, Kevin Cummins, Wesley K. Thompson, Ty Brumback, Ian M. Colrain, Fiona C. Baker, Devin Prouty, Michael D. De Bellis, James T. Voyvodic, Duncan B. Clark, Claudiu Schirda, Bonnie NagelAdolf Pfefferbaum

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

Neurodevelopment continues through adolescence, with notable maturation of white matter tracts comprising regional fiber systems progressing at different rates. To identify factors that could contribute to regional differences in white matter microstructure development, large samples of youth spanning adolescence to young adulthood are essential to parse these factors. Recruitment of adequate samples generally relies on multi-site consortia but comes with the challenge of merging data acquired on different platforms. In the current study, diffusion tensor imaging (DTI) data were acquired on GE and Siemens systems through the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA), a multi-site study designed to track the trajectories of regional brain development during a time of high risk for initiating alcohol consumption. This cross-sectional analysis reports baseline Tract-Based Spatial Statistic (TBSS) of regional fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (L1), and radial diffusivity (LT) from the five consortium sites on 671 adolescents who met no/low alcohol or drug consumption criteria and 132 adolescents with a history of exceeding consumption criteria. Harmonization of DTI metrics across manufacturers entailed the use of human-phantom data, acquired multiple times on each of three non-NCANDA participants at each site's MR system, to determine a manufacturer-specific correction factor. Application of the correction factor derived from human phantom data measured on MR systems from different manufacturers reduced the standard deviation of the DTI metrics for FA by almost a half, enabling harmonization of data that would have otherwise carried systematic error. Permutation testing supported the hypothesis of higher FA and lower diffusivity measures in older adolescents and indicated that, overall, the FA, MD, and L1 of the boys were higher than those of the girls, suggesting continued microstructural development notable in the boys. The contribution of demographic and clinical differences to DTI metrics was assessed with General Additive Models (GAM) testing for age, sex, and ethnicity differences in regional skeleton mean values. The results supported the primary study hypothesis that FA skeleton mean values in the no/low-drinking group were highest at different ages. When differences in intracranial volume were covaried, FA skeleton mean reached a maximum at younger ages in girls than boys and varied in magnitude with ethnicity. Our results, however, did not support the hypothesis that youth who exceeded exposure criteria would have lower FA or higher diffusivity measures than the no/low-drinking group; detecting the effects of excessive alcohol consumption during adolescence on DTI metrics may require longitudinal study.

Original languageEnglish (US)
Pages (from-to)194-213
Number of pages20
JournalNeuroImage
Volume130
DOIs
StatePublished - Apr 15 2016

Fingerprint

Diffusion Tensor Imaging
Anisotropy
Alcohols
Skeleton
Alcohol Drinking
Drinking
White Matter
Sex Characteristics
Longitudinal Studies
Cross-Sectional Studies
Demography

Keywords

  • Adolescence
  • Cortex
  • Development
  • Diffusion tensor imaging
  • Ethnicity
  • Fractional anisotropy
  • Sex

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

Cite this

Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study. / Pohl, Kilian M.; Sullivan, Edith V.; Rohlfing, Torsten; Chu, Weiwei; Kwon, Dongjin; Nichols, B. Nolan; Zhang, Yong; Brown, Sandra A.; Tapert, Susan F.; Cummins, Kevin; Thompson, Wesley K.; Brumback, Ty; Colrain, Ian M.; Baker, Fiona C.; Prouty, Devin; De Bellis, Michael D.; Voyvodic, James T.; Clark, Duncan B.; Schirda, Claudiu; Nagel, Bonnie; Pfefferbaum, Adolf.

In: NeuroImage, Vol. 130, 15.04.2016, p. 194-213.

Research output: Contribution to journalArticle

Pohl, KM, Sullivan, EV, Rohlfing, T, Chu, W, Kwon, D, Nichols, BN, Zhang, Y, Brown, SA, Tapert, SF, Cummins, K, Thompson, WK, Brumback, T, Colrain, IM, Baker, FC, Prouty, D, De Bellis, MD, Voyvodic, JT, Clark, DB, Schirda, C, Nagel, B & Pfefferbaum, A 2016, 'Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study', NeuroImage, vol. 130, pp. 194-213. https://doi.org/10.1016/j.neuroimage.2016.01.061
Pohl, Kilian M. ; Sullivan, Edith V. ; Rohlfing, Torsten ; Chu, Weiwei ; Kwon, Dongjin ; Nichols, B. Nolan ; Zhang, Yong ; Brown, Sandra A. ; Tapert, Susan F. ; Cummins, Kevin ; Thompson, Wesley K. ; Brumback, Ty ; Colrain, Ian M. ; Baker, Fiona C. ; Prouty, Devin ; De Bellis, Michael D. ; Voyvodic, James T. ; Clark, Duncan B. ; Schirda, Claudiu ; Nagel, Bonnie ; Pfefferbaum, Adolf. / Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study. In: NeuroImage. 2016 ; Vol. 130. pp. 194-213.
@article{5eac56dbd0934d51af14dcf94b521156,
title = "Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study",
abstract = "Neurodevelopment continues through adolescence, with notable maturation of white matter tracts comprising regional fiber systems progressing at different rates. To identify factors that could contribute to regional differences in white matter microstructure development, large samples of youth spanning adolescence to young adulthood are essential to parse these factors. Recruitment of adequate samples generally relies on multi-site consortia but comes with the challenge of merging data acquired on different platforms. In the current study, diffusion tensor imaging (DTI) data were acquired on GE and Siemens systems through the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA), a multi-site study designed to track the trajectories of regional brain development during a time of high risk for initiating alcohol consumption. This cross-sectional analysis reports baseline Tract-Based Spatial Statistic (TBSS) of regional fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (L1), and radial diffusivity (LT) from the five consortium sites on 671 adolescents who met no/low alcohol or drug consumption criteria and 132 adolescents with a history of exceeding consumption criteria. Harmonization of DTI metrics across manufacturers entailed the use of human-phantom data, acquired multiple times on each of three non-NCANDA participants at each site's MR system, to determine a manufacturer-specific correction factor. Application of the correction factor derived from human phantom data measured on MR systems from different manufacturers reduced the standard deviation of the DTI metrics for FA by almost a half, enabling harmonization of data that would have otherwise carried systematic error. Permutation testing supported the hypothesis of higher FA and lower diffusivity measures in older adolescents and indicated that, overall, the FA, MD, and L1 of the boys were higher than those of the girls, suggesting continued microstructural development notable in the boys. The contribution of demographic and clinical differences to DTI metrics was assessed with General Additive Models (GAM) testing for age, sex, and ethnicity differences in regional skeleton mean values. The results supported the primary study hypothesis that FA skeleton mean values in the no/low-drinking group were highest at different ages. When differences in intracranial volume were covaried, FA skeleton mean reached a maximum at younger ages in girls than boys and varied in magnitude with ethnicity. Our results, however, did not support the hypothesis that youth who exceeded exposure criteria would have lower FA or higher diffusivity measures than the no/low-drinking group; detecting the effects of excessive alcohol consumption during adolescence on DTI metrics may require longitudinal study.",
keywords = "Adolescence, Cortex, Development, Diffusion tensor imaging, Ethnicity, Fractional anisotropy, Sex",
author = "Pohl, {Kilian M.} and Sullivan, {Edith V.} and Torsten Rohlfing and Weiwei Chu and Dongjin Kwon and Nichols, {B. Nolan} and Yong Zhang and Brown, {Sandra A.} and Tapert, {Susan F.} and Kevin Cummins and Thompson, {Wesley K.} and Ty Brumback and Colrain, {Ian M.} and Baker, {Fiona C.} and Devin Prouty and {De Bellis}, {Michael D.} and Voyvodic, {James T.} and Clark, {Duncan B.} and Claudiu Schirda and Bonnie Nagel and Adolf Pfefferbaum",
year = "2016",
month = "4",
day = "15",
doi = "10.1016/j.neuroimage.2016.01.061",
language = "English (US)",
volume = "130",
pages = "194--213",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study

AU - Pohl, Kilian M.

AU - Sullivan, Edith V.

AU - Rohlfing, Torsten

AU - Chu, Weiwei

AU - Kwon, Dongjin

AU - Nichols, B. Nolan

AU - Zhang, Yong

AU - Brown, Sandra A.

AU - Tapert, Susan F.

AU - Cummins, Kevin

AU - Thompson, Wesley K.

AU - Brumback, Ty

AU - Colrain, Ian M.

AU - Baker, Fiona C.

AU - Prouty, Devin

AU - De Bellis, Michael D.

AU - Voyvodic, James T.

AU - Clark, Duncan B.

AU - Schirda, Claudiu

AU - Nagel, Bonnie

AU - Pfefferbaum, Adolf

PY - 2016/4/15

Y1 - 2016/4/15

N2 - Neurodevelopment continues through adolescence, with notable maturation of white matter tracts comprising regional fiber systems progressing at different rates. To identify factors that could contribute to regional differences in white matter microstructure development, large samples of youth spanning adolescence to young adulthood are essential to parse these factors. Recruitment of adequate samples generally relies on multi-site consortia but comes with the challenge of merging data acquired on different platforms. In the current study, diffusion tensor imaging (DTI) data were acquired on GE and Siemens systems through the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA), a multi-site study designed to track the trajectories of regional brain development during a time of high risk for initiating alcohol consumption. This cross-sectional analysis reports baseline Tract-Based Spatial Statistic (TBSS) of regional fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (L1), and radial diffusivity (LT) from the five consortium sites on 671 adolescents who met no/low alcohol or drug consumption criteria and 132 adolescents with a history of exceeding consumption criteria. Harmonization of DTI metrics across manufacturers entailed the use of human-phantom data, acquired multiple times on each of three non-NCANDA participants at each site's MR system, to determine a manufacturer-specific correction factor. Application of the correction factor derived from human phantom data measured on MR systems from different manufacturers reduced the standard deviation of the DTI metrics for FA by almost a half, enabling harmonization of data that would have otherwise carried systematic error. Permutation testing supported the hypothesis of higher FA and lower diffusivity measures in older adolescents and indicated that, overall, the FA, MD, and L1 of the boys were higher than those of the girls, suggesting continued microstructural development notable in the boys. The contribution of demographic and clinical differences to DTI metrics was assessed with General Additive Models (GAM) testing for age, sex, and ethnicity differences in regional skeleton mean values. The results supported the primary study hypothesis that FA skeleton mean values in the no/low-drinking group were highest at different ages. When differences in intracranial volume were covaried, FA skeleton mean reached a maximum at younger ages in girls than boys and varied in magnitude with ethnicity. Our results, however, did not support the hypothesis that youth who exceeded exposure criteria would have lower FA or higher diffusivity measures than the no/low-drinking group; detecting the effects of excessive alcohol consumption during adolescence on DTI metrics may require longitudinal study.

AB - Neurodevelopment continues through adolescence, with notable maturation of white matter tracts comprising regional fiber systems progressing at different rates. To identify factors that could contribute to regional differences in white matter microstructure development, large samples of youth spanning adolescence to young adulthood are essential to parse these factors. Recruitment of adequate samples generally relies on multi-site consortia but comes with the challenge of merging data acquired on different platforms. In the current study, diffusion tensor imaging (DTI) data were acquired on GE and Siemens systems through the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA), a multi-site study designed to track the trajectories of regional brain development during a time of high risk for initiating alcohol consumption. This cross-sectional analysis reports baseline Tract-Based Spatial Statistic (TBSS) of regional fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (L1), and radial diffusivity (LT) from the five consortium sites on 671 adolescents who met no/low alcohol or drug consumption criteria and 132 adolescents with a history of exceeding consumption criteria. Harmonization of DTI metrics across manufacturers entailed the use of human-phantom data, acquired multiple times on each of three non-NCANDA participants at each site's MR system, to determine a manufacturer-specific correction factor. Application of the correction factor derived from human phantom data measured on MR systems from different manufacturers reduced the standard deviation of the DTI metrics for FA by almost a half, enabling harmonization of data that would have otherwise carried systematic error. Permutation testing supported the hypothesis of higher FA and lower diffusivity measures in older adolescents and indicated that, overall, the FA, MD, and L1 of the boys were higher than those of the girls, suggesting continued microstructural development notable in the boys. The contribution of demographic and clinical differences to DTI metrics was assessed with General Additive Models (GAM) testing for age, sex, and ethnicity differences in regional skeleton mean values. The results supported the primary study hypothesis that FA skeleton mean values in the no/low-drinking group were highest at different ages. When differences in intracranial volume were covaried, FA skeleton mean reached a maximum at younger ages in girls than boys and varied in magnitude with ethnicity. Our results, however, did not support the hypothesis that youth who exceeded exposure criteria would have lower FA or higher diffusivity measures than the no/low-drinking group; detecting the effects of excessive alcohol consumption during adolescence on DTI metrics may require longitudinal study.

KW - Adolescence

KW - Cortex

KW - Development

KW - Diffusion tensor imaging

KW - Ethnicity

KW - Fractional anisotropy

KW - Sex

UR - http://www.scopus.com/inward/record.url?scp=84959183156&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84959183156&partnerID=8YFLogxK

U2 - 10.1016/j.neuroimage.2016.01.061

DO - 10.1016/j.neuroimage.2016.01.061

M3 - Article

C2 - 26872408

AN - SCOPUS:84959183156

VL - 130

SP - 194

EP - 213

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

ER -