Evidence map›Paper›PMID 30510978›Full record

ArticleData in brief2018

Low entropy maps as patterns of the pathological alteration specificity of brain regions: A meta-analysis dataset.

Donato Liloia, Franco Cauda, Andrea Nani, Jordi Manuello, Sergio Duca, Peter T Fox, Tommaso Costa

Abstract read
In one paragraph

Article in Data in brief, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. A co-alteration parceling of the cingulate cortex.Brain structure & function · 2022
    Pooled it
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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

7 authors.

Donato LiloiaGCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.
Franco CaudaGCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.
Andrea NaniGCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.
Jordi ManuelloGCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.
Sergio DucaGCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.
Peter T FoxResearch Imaging Institute, University of Texas Health Science Center at San Antonio, USA.
Tommaso CostaGCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.

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 MH074457
6 · The paper itself

Abstract

The data presented in this article are related to the research article entitled "The alteration landscape of the cerebral cortex" (Cauda et al., 2018). Here, we applied a metric called alteration negentropy (A-negentropy) on a large human neuroimaging dataset, in order to denote the "low structural alteration variety" of the altered brain areas. Furthermore, we reported the overview of the selection strategy, as well as the description and distribution of the selected studies from the voxel-based morphometry database of BrainMap (Vanasse et al., 2018). For all of the analyzed brain areas, we reported the number of pathologies affecting them (both local maxima and mean value), as well as the peak and average values of A-negentropy. Regions altered by a small number of brain disorders exhibit high values of A-negentropy.

Identifiers

PMID30510978
PMCPMC6258253

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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.