Evidence map›Paper›PMID 25462801›Full record

SynthesisNeuroImage2015

Subspecialization in the human posterior medial cortex.

Danilo Bzdok, Adrian Heeger, Robert Langner, Angela R Laird, Peter T Fox, Nicola Palomero-Gallagher, Brent A Vogt, Karl Zilles, Simon B Eickhoff

Abstract readMeta-Analysis
In one paragraph

Synthesis in NeuroImage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 15 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

112 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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  9. Resting-state functional reorganization in Parkinson's disease: An activation likelihood estimation meta-analysis.Cortex; a journal devoted to the study of the nervous system and behavior · 2017
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52 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

9 authors.

Danilo BzdokInstitute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Adrian HeegerInstitute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Robert LangnerInstitute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Angela R LairdDept. of Physics, FL International University, USA.
Peter T FoxResearch Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA.
Nicola Palomero-GallagherInstitute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany.
Brent A VogtInstitute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Cingulum NeuroSciences Institute and Boston University School of Medicine, 72 E. Concord Street, Boston, MA 02118, USA.
Karl ZillesInstitute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074 Aachen, Germany.
Simon B EickhoffInstitute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany. Electronic address: S.Eickhoff@fz-juelich.de.

Funding

Meta-anaylsis in human brain mappingR01MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2006 to 2024
$10.5M
NIMH NIH HHS R01 MH074457NIMH NIH HHS R01-MH074457
6 · The paper itself

Abstract

The posterior medial cortex (PMC) is particularly poorly understood. Its neural activity changes have been related to highly disparate mental processes. We therefore investigated PMC properties with a data-driven exploratory approach. First, we subdivided the PMC by whole-brain coactivation profiles. Second, functional connectivity of the ensuing PMC regions was compared by task-constrained meta-analytic coactivation mapping (MACM) and task-unconstrained resting-state correlations (RSFC). Third, PMC regions were functionally described by forward/reverse functional inference. A precuneal cluster was mostly connected to the intraparietal sulcus, frontal eye fields, and right temporo-parietal junction; associated with attention and motor tasks. A ventral posterior cingulate cortex (PCC) cluster was mostly connected to the ventromedial prefrontal cortex and middle left inferior parietal cortex (IPC); associated with facial appraisal and language tasks. A dorsal PCC cluster was mostly connected to the dorsomedial prefrontal cortex, anterior/posterior IPC, posterior midcingulate cortex, and left dorsolateral prefrontal cortex; associated with delay discounting. A cluster in the retrosplenial cortex was mostly connected to the anterior thalamus and hippocampus. Furthermore, all PMC clusters were congruently coupled with the default mode network according to task-unconstrained but not task-constrained connectivity. We thus identified distinct regions in the PMC and characterized their neural networks and functional implications.

Indexed as

Models, AnatomicModels, NeurologicalCerebral CortexComputer SimulationConnectomeHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalNerve NetPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueConnectivity-based parcellationDefault mode networkFunctional decodingParietal lobePosterior cingulate cortexRetrosplenial cortexStatistical learning

Identifiers

PMID25462801
PMCPMC4780672

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.