Evidence map›Paper›PMID 28826946›Full record

ArticleNeuroImage2017

Harmonization of multi-site diffusion tensor imaging data.

Jean-Philippe Fortin, Drew Parker, Birkan Tunç, Takanori Watanabe, Mark A Elliott, Kosha Ruparel, David R Roalf, Theodore D Satterthwaite, Ruben C Gur, Raquel E Gur and 3 more

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 812 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
812citing papers in PubMed, 2 pooled it
39.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

812 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1,219 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  15. The neuroanatomy of depression: weak but replicable effects in 4021 individuals from three clinical cohorts.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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  16. A Static Phantom for Harmonization of Hyperpolarized [1-Magnetic resonance in medicine · 2026
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  17. Article
  18. Excitation-inhibition imbalance links amyloid pathophysiology to cognition in non-demented individuals.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  19. Article
  20. Article

752 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Jean-Philippe FortinDepartment of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, USA.
Drew ParkerCenter for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, USA.
Birkan TunçCenter for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, USA.
Takanori WatanabeCenter for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, USA.
Mark A ElliottDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, USA.
Kosha RuparelDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, USA.
David R RoalfDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, USA.
Theodore D SatterthwaiteDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, USA.
Ruben C GurDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, USA.
Raquel E GurDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, USA.
Robert T SchultzCenter for Autism Research, The Children's Hospital of Philadelphia, USA.
Ragini VermaCenter for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, USA.
Russell T ShinoharaDepartment of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, USA. Electronic address: rshi@mail.med.upenn.edu.
University of Pennsylvania · USChildren's Hospital of Philadelphia · US

Funding

The Intellectual and Developmental Disabilities Research Center at CHOP/PennU54HD086984 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI YUDKOFF, MARC · 2016 to 2020
$6.3M
Novel computational methods for higher order diffusion MRI in autismR01MH092862 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI VERMA, RAGINI, WESTIN, CARL-FREDRIK · 2010 to 2014
$3.3M
Longitudinal multi-modal neuroimaging of irritability in youthR01MH107703 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SATTERTHWAITE, THEODORE · 2015 to 2018
$2.6M
Temporal connectomics for infant brain: neurodevelopment modulated by pathologyR01HD089390 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI VERMA, RAGINI · 2017 to 2020
$2.3M
Statistical methods for large and complex databases of ultra-high-dimensionalR01NS085211 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2013 to 2017
$1.8M
Developing a Community-Based ASD Research RegistryRC1MH088791 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI SCHULTZ, ROBERT THOMAS · 2009 to 2009
$500k
Spatiotemporal Modeling of MRI Brain Lesion Trajectories of Biomarker DiscoveryR21NS093349 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI ELOYAN, ANI, SHINOHARA, RUSSELL TAKESHI · 2016 to 2017
$454k
NICHD NIH HHS R01 HD089390NICHD NIH HHS U54 HD086984NIMH NIH HHS R01 MH092862NIMH NIH HHS R01 MH107703NIMH NIH HHS RC1 MH088791NINDS NIH HHS R01 NS085211NINDS NIH HHS R21 NS093349
6 · The paper itself

Abstract

Diffusion tensor imaging (DTI) is a well-established magnetic resonance imaging (MRI) technique used for studying microstructural changes in the white matter. As with many other imaging modalities, DTI images suffer from technical between-scanner variation that hinders comparisons of images across imaging sites, scanners and over time. Using fractional anisotropy (FA) and mean diffusivity (MD) maps of 205 healthy participants acquired on two different scanners, we show that the DTI measurements are highly site-specific, highlighting the need of correcting for site effects before performing downstream statistical analyses. We first show evidence that combining DTI data from multiple sites, without harmonization, may be counter-productive and negatively impacts the inference. Then, we propose and compare several harmonization approaches for DTI data, and show that ComBat, a popular batch-effect correction tool used in genomics, performs best at modeling and removing the unwanted inter-site variability in FA and MD maps. Using age as a biological phenotype of interest, we show that ComBat both preserves biological variability and removes the unwanted variation introduced by site. Finally, we assess the different harmonization methods in the presence of different levels of confounding between site and age, in addition to test robustness to small sample size studies.

Indexed as

AdolescentAdultAutism Spectrum DisorderChildCohort StudiesDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMaleMulticenter Studies as TopicWhite MatterYoung AdultComBatDiffusionDTIHarmonizationInter-scannerMulti-site

Identifiers

PMID28826946
PMCPMC5736019
OpenAlexW2950030754

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.