Evidence map›Paper›PMID 30875144›Full record

ArticleHuman brain mapping2019

Test-retest reproducibility of white matter parcellation using diffusion MRI tractography fiber clustering.

Fan Zhang, Ye Wu, Isaiah Norton, Yogesh Rathi, Alexandra J Golby, Lauren J O'Donnell

Open access · bronzeAbstract read
In one paragraph

Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

55 citing papers in PubMed, 93 citations in OpenAlex.

  1. White matter predicts tDCS antidepressant effects in a sham-controlled clinical trial study.European archives of psychiatry and clinical neuroscience · 2023
    Trial
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  5. A Direct Auditory Subcortical Route to the Amygdala Associated with Fear in Humans.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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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

6 authors at 1 institution in 1 country.

Fan ZhangBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-5032-6039
Ye WuBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Isaiah NortonBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Yogesh RathiBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-9946-2314
Alexandra J GolbyBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Lauren J O'DonnellBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-0197-7801
Brigham and Women's Hospital · US

Funding

Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI PUJOL, SONIA · 2012 to 2022
$20.9M
Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patientsP41EB015898 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2012 to 2021
$18.9M
Novel DT-MRI Analyses of White Matter in SchizophreniaR01MH074794 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI WESTIN, CARL-FREDRIK · 2007 to 2021
$9.6M
Harmonizing multi-site diffusion MRI acquisitions for neuroscientific analysis across ages and brain disordersR01MH119222 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI O'DONNELL, LAUREN JEAN, RATHI, YOGESH · 2019 to 2023
$4.0M
Taking advanced diffusion imaging to the clinic for pediatric patients with ADHDR01MH097979 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI RATHI, YOGESH · 2012 to 2017
$2.4M
Open source diffusion MRI technology for brain cancer researchU01CA199459 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI O'DONNELL, LAUREN JEAN · 2015 to 2017
$1.1M
Novel diffusion MRI analysis for detection of mild traumatic brain injuryR03NS088301 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI O'DONNELL, LAUREN JEAN · 2015 to 2016
$177k
NCI NIH HHS U01 CA199459NIBIB NIH HHS P41 EB015898NIBIB NIH HHS P41 EB015902NIH HHS P41 EB015898NIH HHS P41 EB015902NIH HHS R01 MH074794NIH HHS R01 MH097979NIH HHS R03 NS088301NIH HHS U01 CA199459NIMH NIH HHS R01 MH074794NIMH NIH HHS R01 MH097979NIMH NIH HHS R01 MH119222NINDS NIH HHS R03 NS088301
6 · The paper itself

Abstract

There are two popular approaches for automated white matter parcellation using diffusion MRI tractography, including fiber clustering strategies that group white matter fibers according to their geometric trajectories and cortical-parcellation-based strategies that focus on the structural connectivity among different brain regions of interest. While multiple studies have assessed test-retest reproducibility of automated white matter parcellations using cortical-parcellation-based strategies, there are no existing studies of test-retest reproducibility of fiber clustering parcellation. In this work, we perform what we believe is the first study of fiber clustering white matter parcellation test-retest reproducibility. The assessment is performed on three test-retest diffusion MRI datasets including a total of 255 subjects across genders, a broad age range (5-82 years), health conditions (autism, Parkinson's disease and healthy subjects), and imaging acquisition protocols (three different sites). A comprehensive evaluation is conducted for a fiber clustering method that leverages an anatomically curated fiber clustering white matter atlas, with comparison to a popular cortical-parcellation-based method. The two methods are compared for the two main white matter parcellation applications of dividing the entire white matter into parcels (i.e., whole brain white matter parcellation) and identifying particular anatomical fiber tracts (i.e., anatomical fiber tract parcellation). Test-retest reproducibility is measured using both geometric and diffusion features, including volumetric overlap (wDice) and relative difference of fractional anisotropy. Our experimental results in general indicate that the fiber clustering method produced more reproducible white matter parcellations than the cortical-parcellation-based method.

Indexed as

AdolescentAdultAgedAged, 80 and overBrainChildChild, PreschoolDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedNerve Fibers, MyelinatedReproducibility of ResultsWhite Mattercortical-parcellation-baseddiffusion MRIfiber clusteringtractography parcellation

Identifiers

PMID30875144
PMCPMC6548665
OpenAlexW2921302667

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.