Evidence map›Paper›PMID 28657159›Full record

ArticleHuman brain mapping2017

Mapping the order and pattern of brain structural MRI changes using change-point analysis in premanifest Huntington's disease.

Dan Wu, Andreia V Faria, Laurent Younes, Susumu Mori, Timothy Brown, Hans Johnson, Jane S Paulsen, Christopher A Ross, Michael I Miller, PREDICT-HD Investigators and Coordinators of the Huntington Study Group

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
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  6. Article
  7. Diffusion imaging in Huntington's disease: comprehensive review.Journal of neurology, neurosurgery, and psychiatry · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Review
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  13. Review
  14. Article
  15. Article
  16. An image-based model of brain volume biomarker changes in Huntington's disease.Annals of clinical and translational neurology · 2018
    Article
  17. Article
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

10 authors at 3 institutions in 1 country.

Dan WuThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-9303-5821
Andreia V FariaThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Laurent YounesCenter for Imaging Science, Johns Hopkins University, Baltimore, Maryland.
Susumu MoriThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Timothy BrownCenter for Imaging Science, Johns Hopkins University, Baltimore, Maryland.
Hans JohnsonDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa.
Jane S PaulsenDepartments of Psychiatry, Neurology, Psychology and Neurosciences, University of Iowa, Iowa City, Iowa.
Christopher A RossDivision of Neurobiology, Departments of Psychiatry, Neurology, Neuroscience and Pharmacology, and Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Michael I MillerCenter for Imaging Science, Johns Hopkins University, Baltimore, Maryland.
PREDICT-HD Investigators and Coordinators of the Huntington Study Group
Johns Hopkins University · USUniversity of Iowa · USKennedy Krieger Institute · US

Funding

NEUROBIOLOGICAL PREDICTORS OF HUNTINGTON'S DISEASER01NS040068 · NINDS · UNIVERSITY OF IOWA · PI PAULSEN, JANE S · 2001 to 2013
$48.5M
TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
THE DEVELOPMENT OF A PRESYMPTOMATIC TEST FOR HDP01NS016375 · NINDS · JOHNS HOPKINS UNIVERSITY · PI ROSS, CHRISTOPHER A · 1985 to 2007
$11.9M
SIGNIFICANCE OF EXTRASTRIATAL PATHOLOGY IN HUNTINGTON'S DISEASEP50NS016375 · NINDS · JOHNS HOPKINS UNIVERSITY · PI ROSS, CHRISTOPHER A · 1995 to 2011
$4.2M
Continued Development and Maintenance of MriStudioR01NS084957 · NINDS · JOHNS HOPKINS UNIVERSITY · PI MILLER, MICHAEL I, MORI, SUSUMU · 2013 to 2022
$3.6M
Validation of Structural/Functional MRI LocalizationR01EB000975 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI BARTA, PATRICK E, MILLER, MICHAEL I · 2002 to 2012
$3.0M
3D Shape Analysis for Computational AnatomyR01EB008171 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI MILLER, MICHAEL I · 2009 to 2012
$2.0M
Multi-Scale Electronic Human Brain AtlasR01NS086888 · NINDS · JOHNS HOPKINS UNIVERSITY · PI MORI, SUSUMU · 2014 to 2018
$1.8M
Basal Ganglia Shape Analysis and Circuitry in Huntington's DiseaseU01NS082085 · NINDS · JOHNS HOPKINS UNIVERSITY · PI MILLER, MICHAEL I, ROSS, CHRISTOPHER A · 2012 to 2013
$1.1M
In-utero characterization of embryonic mouse brain development and injury with MRIR21NS098018 · NINDS · JOHNS HOPKINS UNIVERSITY · PI WU, DAN · 2016 to 2017
$461k
NIBIB NIH HHS P41 EB015909NIBIB NIH HHS R01 EB000975NIBIB NIH HHS R01 EB008171NINDS NIH HHS P01 NS016375NINDS NIH HHS P50 NS016375NINDS NIH HHS R01 NS040068NINDS NIH HHS R01 NS084957NINDS NIH HHS R01 NS086888NINDS NIH HHS R21 NS098018NINDS NIH HHS U01 NS082085
6 · The paper itself

Abstract

Huntington's disease (HD) is an autosomal dominant neurodegenerative disorder that progressively affects motor, cognitive, and emotional functions. Structural MRI studies have demonstrated brain atrophy beginning many years prior to clinical onset ("premanifest" period), but the order and pattern of brain structural changes have not been fully characterized. In this study, we investigated brain regional volumes and diffusion tensor imaging (DTI) measurements in premanifest HD, and we aim to determine (1) the extent of MRI changes in a large number of structures across the brain by atlas-based analysis, and (2) the initiation points of structural MRI changes in these brain regions. We adopted a novel multivariate linear regression model to detect the inflection points at which the MRI changes begin (namely, "change-points"), with respect to the CAG-age product (CAP, an indicator of extent of exposure to the effects of CAG repeat expansion). We used approximately 300 T1-weighted and DTI data from premanifest HD and control subjects in the PREDICT-HD study, with atlas-based whole brain segmentation and change-point analysis. The results indicated a distinct topology of structural MRI changes: the change-points of the volumetric measurements suggested a central-to-peripheral pattern of atrophy from the striatum to the deep white matter; and the change points of DTI measurements indicated the earliest changes in mean diffusivity in the deep white matter and posterior white matter. While interpretation needs to be cautious given the cross-sectional nature of the data, these findings suggest a spatial and temporal pattern of spread of structural changes within the HD brain. Hum Brain Mapp 38:5035-5050, 2017. © 2017 Wiley Periodicals, Inc.

Indexed as

Magnetic Resonance ImagingAdultAtlases as TopicAtrophyBrainCohort StudiesCross-Sectional StudiesDiffusion Tensor ImagingDisease ProgressionFemaleHumansHuntington DiseaseLinear ModelsMaleMiddle AgedMultivariate Analysisatlas-based segmentationbrain atrophychange-point analysisdiffusion tensor MRIpremanifest HDspatiotemporal order

Identifiers

PMID28657159
PMCPMC5766002
OpenAlexW2727424619

What OpenQuestion holds

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Registered trials

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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.