Evidence map›Paper›PMID 32151759›Full record

ArticleNeuroImage2020

Registration-free analysis of diffusion MRI tractography data across subjects through the human lifespan.

Viviana Siless, Juliet Y Davidow, Jared Nielsen, Qiuyun Fan, Trey Hedden, Marisa Hollinshead, Elizabeth Beam, Constanza M Vidal Bustamante, Megan C Garrad, Rosario Santillana and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Diffusion MRI with Machine Learning.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
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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

18 authors.

Viviana SilessAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. Electronic address: vsiless@mgh.harvard.edu.
Juliet Y DavidowDepartment of Psychology and Center for Brain Science, Harvard University, MA, USA.
Jared NielsenAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Psychology and Center for Brain Science, Harvard University, MA, USA.
Qiuyun FanAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Trey HeddenAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Marisa HollinsheadAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Psychology and Center for Brain Science, Harvard University, MA, USA.
Elizabeth BeamAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Psychology and Center for Brain Science, Harvard University, MA, USA.
Constanza M Vidal BustamanteAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Psychology and Center for Brain Science, Harvard University, MA, USA.
Megan C GarradAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Psychology and Center for Brain Science, Harvard University, MA, USA.
Rosario SantillanaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Division of Developmental Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Emily E SmithAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Aya HamadehAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Psychology and Center for Brain Science, Harvard University, MA, USA.
Jenna SnyderAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Division of Developmental Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Michelle K DrewsAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Psychology and Center for Brain Science, Harvard University, MA, USA.
Koene R A Van DijkAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Psychology and Center for Brain Science, Harvard University, MA, USA.
Margaret SheridanDivision of Developmental Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychology, University of North Carolina at Chapel Hill, NC, USA.
Leah H SomervilleDepartment of Psychology and Center for Brain Science, Harvard University, MA, USA.
Anastasia YendikiAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Funding

The Human Connectome Project (HCP)U01MH093765 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2010 to 2014
$12.1M
Connectomes Related to Anxiety and Depression in AdolescentsU01MH108168 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIELI, JOHN, WHITFIELD-GABRIELI, SUSAN · 2015 to 2019
$4.6M
Advanced Multimodal Neuroimaging Training GrantR90DA023427 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2006 to 2015
$2.8M
A Storage Area Network for Structural and Functional Image AnalysisS10RR023401 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2009 to 2009
$2.0M
Multimodal mapping of the neurocircuitry of the human prefrontal cortexR01EB021265 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI YENDIKI, ANASTASIA · 2016 to 2019
$2.0M
SILICON GRAPHICS PRISM EXTREME 128P/1TBS10RR023043 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2006 to 2006
$1.5M
Advanced Multimodal Neuroimaging Training GrantT90DA022759 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2006 to 2015
$1.4M
Imaging the neurodevelopmental trajectory of depression and anxiety disorders with HCP protocolsR56MH121426 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI WHITFIELD-GABRIELI, SUSAN, YENDIKI, ANASTASIA · 2020 to 2020
$1.2M
Computeserver Structural &Functional Image AnalysisS10RR019307 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2004 to 2004
$496k
NCRR NIH HHS S10 RR019307NCRR NIH HHS S10 RR023043NCRR NIH HHS S10 RR023401NIBIB NIH HHS R01 EB021265NIDA NIH HHS R90 DA023427NIDA NIH HHS T90 DA022759NIMH NIH HHS R56 MH121426NIMH NIH HHS U01 MH093765NIMH NIH HHS U01 MH108168
6 · The paper itself

Abstract

Diffusion MRI tractography produces massive sets of streamlines that need to be clustered into anatomically meaningful white-matter bundles. Conventional clustering techniques group streamlines based on their proximity in Euclidean space. We have developed AnatomiCuts, an unsupervised method for clustering tractography streamlines based on their neighboring anatomical structures, rather than their coordinates in Euclidean space. In this work, we show that the anatomical similarity metric used in AnatomiCuts can be extended to find corresponding clusters across subjects and across hemispheres, without inter-subject or inter-hemispheric registration. Our proposed approach enables group-wise tract cluster analysis, as well as studies of hemispheric asymmetry. We evaluate our approach on data from the pilot MGH-Harvard-USC Lifespan Human Connectome project, showing improved correspondence in tract clusters across 184 subjects aged 8-90. Our method shows up to 38% improvement in the overlap of corresponding clusters when comparing subjects with large age differences. The techniques presented here do not require registration to a template and can thus be applied to populations with large inter-subject variability, e.g., due to brain development, aging, or neurological disorders.

Indexed as

AlgorithmsAdolescentAdultAgedAged, 80 and overBrainChildCluster AnalysisConnectomeDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedLongevityMiddle AgedYoung AdultDiffusion MRIHierarchical clusteringNormalized cutsTractography

Identifiers

PMID32151759
PMCPMC8482444

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.