Evidence map›Paper›PMID 36203018›Full record

ArticleNature methods2022

neuromaps: structural and functional interpretation of brain maps.

Ross D Markello, Justine Y Hansen, Zhen-Qi Liu, Vincent Bazinet, Golia Shafiei, Laura E Suárez, Nadia Blostein, Jakob Seidlitz, Sylvain Baillet, Theodore D Satterthwaite and 3 more

Abstract read
In one paragraph

Article in Nature methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 305 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
305citing papers in PubMed, 5 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

305 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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245 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Ross D Markello *Montréal Neurological Institute, McGill University, Montréal, Quebec, Canada.ORCID 0000-0003-1057-1336
Justine Y Hansen *Montréal Neurological Institute, McGill University, Montréal, Quebec, Canada.ORCID 0000-0003-3142-7480
Zhen-Qi LiuMontréal Neurological Institute, McGill University, Montréal, Quebec, Canada.ORCID 0000-0003-0917-7905
Vincent BazinetMontréal Neurological Institute, McGill University, Montréal, Quebec, Canada.ORCID 0000-0001-6693-9641
Golia ShafieiMontréal Neurological Institute, McGill University, Montréal, Quebec, Canada.
Laura E SuárezMontréal Neurological Institute, McGill University, Montréal, Quebec, Canada.
Nadia BlosteinCerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Montréal, Quebec, Canada.ORCID 0000-0002-1864-1899
Jakob SeidlitzLifespan Informatics and Neuroimaging Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-8164-7476
Sylvain BailletMontréal Neurological Institute, McGill University, Montréal, Quebec, Canada.ORCID 0000-0002-6762-5713
Theodore D SatterthwaiteLifespan Informatics and Neuroimaging Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
M Mallar ChakravartyCerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Montréal, Quebec, Canada.
Armin RaznahanSection of Developmental Neurogenomics, National Institute of Mental Health, Bethesda, MD, USA.
Bratislav MisicMontréal Neurological Institute, McGill University, Montréal, Quebec, Canada. bratislav.misic@mcgill.ca.ORCID 0000-0003-0307-2862

Funding

Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG ImagingR01EB026299 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEAHY, RICHARD M · 2018 to 2025
$5.4M
Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
NIBIB NIH HHS R01 EB026299NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH120482
6 · The paper itself

Abstract

Imaging technologies are increasingly used to generate high-resolution reference maps of brain structure and function. Comparing experimentally generated maps to these reference maps facilitates cross-disciplinary scientific discovery. Although recent data sharing initiatives increase the accessibility of brain maps, data are often shared in disparate coordinate systems, precluding systematic and accurate comparisons. Here we introduce neuromaps, a toolbox for accessing, transforming and analyzing structural and functional brain annotations. We implement functionalities for generating high-quality transformations between four standard coordinate systems. The toolbox includes curated reference maps and biological ontologies of the human brain, such as molecular, microstructural, electrophysiological, developmental and functional ontologies. Robust quantitative assessment of map-to-map similarity is enabled via a suite of spatial autocorrelation-preserving null models. neuromaps combines open-access data with transparent functionality for standardizing and comparing brain maps, providing a systematic workflow for comprehensive structural and functional annotation enrichment analysis of the human brain.

Indexed as

BrainBrain MappingHumans

Identifiers

PMID36203018
PMCPMC9636018

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.