Evidence map›Paper›PMID 34170391›Full record

ArticleBrain structure & function2021

Interhemispheric co-alteration of brain homotopic regions.

Franco Cauda, Andrea Nani, Donato Liloia, Gabriele Gelmini, Lorenzo Mancuso, Jordi Manuello, Melissa Panero, Sergio Duca, Yu-Feng Zang, Tommaso Costa

Open access · hybridAbstract read
In one paragraph

Article in Brain structure & function, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 37% of its field
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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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

10 authors at 2 institutions in 2 countries.

Franco CaudaDepartment of Psychology, GCS-fMRI, Koelliker Hospital, University of Turin, Turin, Italy.
Andrea NaniDepartment of Psychology, GCS-fMRI, Koelliker Hospital, University of Turin, Turin, Italy. andrea.nani@unito.it.
Donato LiloiaDepartment of Psychology, GCS-fMRI, Koelliker Hospital, University of Turin, Turin, Italy.
Gabriele GelminiDepartment of Psychology, FOCUS Lab, University of Turin, Turin, Italy.
Lorenzo MancusoDepartment of Psychology, FOCUS Lab, University of Turin, Turin, Italy.
Jordi ManuelloDepartment of Psychology, GCS-fMRI, Koelliker Hospital, University of Turin, Turin, Italy.
Melissa PaneroDepartment of Psychology, FOCUS Lab, University of Turin, Turin, Italy.
Sergio DucaDepartment of Psychology, GCS-fMRI, Koelliker Hospital, University of Turin, Turin, Italy.
Yu-Feng ZangCenter for Cognition and Brain Disorders, Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, 311121, China.
Tommaso CostaDepartment of Psychology, GCS-fMRI, Koelliker Hospital, University of Turin, Turin, Italy.
University of Turin · ITHangzhou Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asymmetries in gray matter alterations raise important issues regarding the pathological co-alteration between hemispheres. Since homotopic areas are the most functionally connected sites between hemispheres and gray matter co-alterations depend on connectivity patterns, it is likely that this relationship might be mirrored in homologous interhemispheric co-altered areas. To explore this issue, we analyzed data of patients with Alzheimer's disease, schizophrenia, bipolar disorder and depressive disorder from the BrainMap voxel-based morphometry database. We calculated a map showing the pathological homotopic anatomical co-alteration between homologous brain areas. This map was compared with the meta-analytic homotopic connectivity map obtained from the BrainMap functional database, so as to have a meta-analytic connectivity modeling map between homologous areas. We applied an empirical Bayesian technique so as to determine a directional pathological co-alteration on the basis of the possible tendencies in the conditional probability of being co-altered of homologous brain areas. Our analysis provides evidence that: the hemispheric homologous areas appear to be anatomically co-altered; this pathological co-alteration is similar to the pattern of connectivity exhibited by the couples of homologues; the probability to find alterations in the areas of the left hemisphere seems to be greater when their right homologues are also altered than vice versa, an intriguing asymmetry that deserves to be further investigated and explained.

Indexed as

BrainBayes TheoremGray MatterHumansMagnetic Resonance ImagingNeural PathwaysAlzheimer’s diseaseBrain alterationsDepressive disorderPathological co-alterationSchizophreniaVoxel-based morphometry

Identifiers

PMID34170391
PMCPMC8354999
OpenAlexW3174035896

What OpenQuestion holds

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Registered trials

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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.