Evidence map›Paper›PMID 34431476›Full record

ArticleeLife2021

The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging.

Casey Paquola, Jessica Royer, Lindsay B Lewis, Claude Lepage, Tristan Glatard, Konrad Wagstyl, Jordan DeKraker, Paule-J Toussaint, Sofie L Valk, Louis Collins and 5 more

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

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

  1. Pooled it
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  13. Two axes of white matter development.Nature communications · 2026
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4 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

15 authors.

Casey PaquolaMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, Canada.ORCID 0000-0002-0190-4103
Jessica RoyerMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, Canada.
Lindsay B LewisMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, Canada.
Claude LepageMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, Canada.
Tristan GlatardDepartment of Computer Science and Software Engineering, Concordia University, Montreal, Canada.
Konrad WagstylWellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom.
Jordan DeKrakerMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, Canada.
Paule-J ToussaintMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, Canada.ORCID 0000-0002-7446-150X
Sofie L ValkOtto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.ORCID 0000-0003-2998-6849
Louis CollinsMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, Canada.ORCID 0000-0002-8432-7021
Ali R KhanDepartment of Medical Biophysics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Canada.
Katrin AmuntsInstitute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Jülich, Germany.ORCID 0000-0001-5828-0867
Alan C EvansMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, Canada.
Timo DickscheidInstitute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Jülich, Germany.
Boris BernhardtMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, Canada.ORCID 0000-0001-9256-6041

Funding

CIHR 366062CIHR FDN-154298CIHR PRJ-174995
6 · The paper itself

Abstract

Neuroimaging stands to benefit from emerging ultrahigh-resolution 3D histological atlases of the human brain; the first of which is 'BigBrain'. Here, we review recent methodological advances for the integration of BigBrain with multi-modal neuroimaging and introduce a toolbox, 'BigBrainWarp', that combines these developments. The aim of BigBrainWarp is to simplify workflows and support the adoption of best practices. This is accomplished with a simple wrapper function that allows users to easily map data between BigBrain and standard MRI spaces. The function automatically pulls specialised transformation procedures, based on ongoing research from a wide collaborative network of researchers. Additionally, the toolbox improves accessibility of histological information through dissemination of ready-to-use cytoarchitectural features. Finally, we demonstrate the utility of BigBrainWarp with three tutorials and discuss the potential of the toolbox to support multi-scale investigations of brain organisation.

Indexed as

SoftwareAgedAtlases as TopicBrainHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleNeuroimaginganatomyhistologyhumanmulti-modalneuroimagingneuroscience

Identifiers

PMID34431476
PMCPMC8445620

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.