Evidence map›Paper›PMID 25032500›Full record

SynthesisAnnual review of neuroscience2014

Meta-analysis in human neuroimaging: computational modeling of large-scale databases.

Peter T Fox, Jack L Lancaster, Angela R Laird, Simon B Eickhoff

Abstract readMeta-Analysis
In one paragraph

Synthesis in Annual review of neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 42 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 42 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

103 citing papers in PubMed, 42 syntheses or guidelines pooled it.

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43 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

4 authors.

Peter T FoxResearch Imaging Institute and.
Jack L Lancaster
Angela R Laird
Simon B Eickhoff

Funding

Meta-anaylsis in human brain mappingR01MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2006 to 2024
$10.5M
BrainMap Tracker: Automated Annotation of Brain Mapping ExperimentsR56MH097870 · NIMH · THE MIND RESEARCH NETWORK · PI LAIRD, ANGELA R, TURNER, JESS · 2012 to 2013
$1.1M
Mango: literature-informed, 3-D visualization of human brain imagesR01EB015314 · NIBIB · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LANCASTER, JACK L. · 2013 to 2015
$987k
Development of a Cognitive Paradigm Ontology: BrainMap and BIRN IntergrationR01MH084812 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON, TURNER, JESS · 2009 to 2011
$869k
Neuroimaging in the Oklahoma Family Health Patterns ProjectR01AA019691 · NIAAA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI LOVALLO, WILLIAM R · 2011 to 2013
$555k
Meta-analysis in human brain mappingR56MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2020 to 2020
$543k
A Baboon Model of TMS/PET as a Vehicle for Rational Development of TMS TreatmentsR21NS062254 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2009 to 2010
$407k
NCRR NIH HHS RR024387NIAAA NIH HHS AA019691NIAAA NIH HHS R01 AA019691NIBIB NIH HHS EB015314NIBIB NIH HHS R01 EB015314NIMH NIH HHS MH084812NIMH NIH HHS MH74457NIMH NIH HHS R01 MH074457NIMH NIH HHS R01 MH084812NIMH NIH HHS R56 MH074457NIMH NIH HHS R56 MH097870NINDS NIH HHS NS062254NINDS NIH HHS R21 NS062254
6 · The paper itself

Abstract

Spatial normalization--applying standardized coordinates as anatomical addresses within a reference space--was introduced to human neuroimaging research nearly 30 years ago. Over these three decades, an impressive series of methodological advances have adopted, extended, and popularized this standard. Collectively, this work has generated a methodologically coherent literature of unprecedented rigor, size, and scope. Large-scale online databases have compiled these observations and their associated meta-data, stimulating the development of meta-analytic methods to exploit this expanding corpus. Coordinate-based meta-analytic methods have emerged and evolved in rigor and utility. Early methods computed cross-study consensus, in a manner roughly comparable to traditional (nonimaging) meta-analysis. Recent advances now compute coactivation-based connectivity, connectivity-based functional parcellation, and complex network models powered from data sets representing tens of thousands of subjects. Meta-analyses of human neuroimaging data in large-scale databases now stand at the forefront of computational neurobiology.

Indexed as

Brain MappingComputational BiologyDatabases, FactualHumansModels, Neurologicalactivation likelihood estimationALEfMRIhuman brain mappingmagnetic resonance imagingMRI

Identifiers

PMID25032500
PMCPMC4782802

What OpenQuestion holds

Textmetadata
LicenceTDM
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.