Evidence map›Paper›PMID 29349864›Full record

ArticleHuman brain mapping2018

The morphometric co-atrophy networking of schizophrenia, autistic and obsessive spectrum disorders.

Franco Cauda, Andrea Nani, Tommaso Costa, Sara Palermo, Karina Tatu, Jordi Manuello, Sergio Duca, Peter T Fox, Roberto Keller

Abstract read
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 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

28 citing papers in PubMed, 3 syntheses or guidelines 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

9 authors.

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.
Tommaso CostaGCS-FMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.ORCID 0000-0002-0822-862X
Sara PalermoDepartment of Neuroscience, University of Turin, Turin, Italy.
Karina TatuGCS-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, San Antonio, Texas.
Roberto KellerAdult Autism Center, DSM Local Health Unit ASL Citta' Di Torino, 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
Meta-analysis in human brain mappingR56MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2020 to 2020
$543k
NIMH NIH HHS R01 MH074457NIMH NIH HHS R56 MH074457
6 · The paper itself

Abstract

By means of a novel methodology that can statistically derive patterns of co-alterations distribution from voxel-based morphological data, this study analyzes the patterns of brain alterations of three important psychiatric spectra-that is, schizophrenia spectrum disorder (SCZD), autistic spectrum disorder (ASD), and obsessive-compulsive spectrum disorder (OCSD). Our analysis provides five important results. First, in SCZD, ASD, and OCSD brain alterations do not distribute randomly but, rather, follow network-like patterns of co-alteration. Second, the clusters of co-altered areas form a net of alterations that can be defined as morphometric co-alteration network or co-atrophy network (in the case of gray matter decreases). Third, within this network certain cerebral areas can be identified as pathoconnectivity hubs, the alteration of which is supposed to enhance the development of neuronal abnormalities. Fourth, within the morphometric co-atrophy network of SCZD, ASD, and OCSD, a subnetwork composed of eleven highly connected nodes can be distinguished. This subnetwork encompasses the anterior insulae, inferior frontal areas, left superior temporal areas, left parahippocampal regions, left thalamus and right precentral gyri. Fifth, the co-altered areas also exhibit a normal structural covariance pattern which overlaps, for some of these areas (like the insulae), the co-alteration pattern. These findings reveal that, similarly to neurodegenerative diseases, psychiatric disorders are characterized by anatomical alterations that distribute according to connectivity constraints so as to form identifiable morphometric co-atrophy patterns.

Indexed as

AdolescentAdultAtrophyAutistic DisorderBrainFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleModels, NeurologicalNeural PathwaysObsessive-Compulsive DisorderPubMedSchizophreniaYoung Adultalteration propagationanatomical covarianceautism spectrum disorderco-alterationco-athropydamage spreadobsessive-compulsive spectrum disorderpathoconnectivityschizophrenia spectrum disordertransdiagnostic approach

Identifiers

PMID29349864
PMCPMC5895505

What OpenQuestion holds

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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.