Evidence map›Paper›PMID 26754839›Full record

ArticleBrain structure & function2016

The white matter query language: a novel approach for describing human white matter anatomy.

Demian Wassermann, Nikos Makris, Yogesh Rathi, Martha Shenton, Ron Kikinis, Marek Kubicki, Carl-Fredrik Westin

Abstract read
In one paragraph

Article in Brain structure & function, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

126 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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66 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

7 authors.

Demian WassermannLaboratory of Mathematics in Imaging, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston, 02215, Boston, MA, USA. demian.wassermann@inria.fr.ORCID 0000-0001-5194-6056
Nikos MakrisPsychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston, 02215, Boston, MA, USA.
Yogesh RathiLaboratory of Mathematics in Imaging, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston, 02215, Boston, MA, USA.
Martha ShentonPsychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston, 02215, Boston, MA, USA.
Ron KikinisSurgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston, 02215, Boston, MA, USA.
Marek KubickiLaboratory of Mathematics in Imaging, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston, 02215, Boston, MA, USA.
Carl-Fredrik WestinLaboratory of Mathematics in Imaging, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston, 02215, Boston, MA, USA.

Funding

WHITE MATTER ARCHITECTURE FROM DT-MRIP41RR013218 · NCRR · BRIGHAM AND WOMEN'S HOSPITAL · PI WELLS, WILLIAM W · 1998 to 2011
$30.6M
Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI WELLS, WILLIAM M. · 2012 to 2022
$20.9M
Novel DT-MRI Analyses of White Matter in SchizophreniaR01MH074794 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI WESTIN, CARL-FREDRIK · 2007 to 2021
$9.6M
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
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
NCRR NIH HHS P41 RR013218NIBIB NIH HHS P41 EB015902NIMH NIH HHS R01 MH074794NIMH NIH HHS R01 MH092862NIMH NIH HHS R01 MH097979
6 · The paper itself

Abstract

We have developed a novel method to describe human white matter anatomy using an approach that is both intuitive and simple to use, and which automatically extracts white matter tracts from diffusion MRI volumes. Further, our method simplifies the quantification and statistical analysis of white matter tracts on large diffusion MRI databases. This work reflects the careful syntactical definition of major white matter fiber tracts in the human brain based on a neuroanatomist's expert knowledge. The framework is based on a novel query language with a near-to-English textual syntax. This query language makes it possible to construct a dictionary of anatomical definitions that describe white matter tracts. The definitions include adjacent gray and white matter regions, and rules for spatial relations. This novel method makes it possible to automatically label white matter anatomy across subjects. After describing this method, we provide an example of its implementation where we encode anatomical knowledge in human white matter for ten association and 15 projection tracts per hemisphere, along with seven commissural tracts. Importantly, this novel method is comparable in accuracy to manual labeling. Finally, we present results applying this method to create a white matter atlas from 77 healthy subjects, and we use this atlas in a small proof-of-concept study to detect changes in association tracts that characterize schizophrenia.

Indexed as

Atlases as TopicAdultAlgorithmsBrainDatabases, FactualDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedInformation Storage and RetrievalMaleNatural Language ProcessingNeural PathwaysReproducibility of ResultsSchizophreniaSoftwareAutomatic classification of white matter tractsComputational neuroanatomyDiffusion MRITractographyWhite matter fascicles

Identifiers

PMID26754839
PMCPMC4940319

What OpenQuestion holds

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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.