Evidence map›Paper›PMID 38445254›Full record

ReviewFrontiers in neuroscience2024

Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders.

Ana Clara Caznok Silveira, Andre Saraiva Leão Marcelo Antunes, Maria Carolina Pedro Athié, Bárbara Filomena da Silva, João Victor Ribeiro Dos Santos, Camila Canateli, Marina Alves Fontoura, Allan Pinto, Luciana Ramalho Pimentel-Silva, Simoni Helena Avansini and 1 more

Abstract readReview
In one paragraph

Review in Frontiers in neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
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  6. A Poly(methacrolein-Nanomaterials (Basel, Switzerland) · 2025
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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

11 authors.

Ana Clara Caznok SilveiraNational Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil.
Andre Saraiva Leão Marcelo AntunesNational Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil.
Maria Carolina Pedro AthiéNational Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil.
Bárbara Filomena da SilvaNational Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil.
João Victor Ribeiro Dos SantosNational Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil.
Camila CanateliNational Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil.
Marina Alves FontouraNational Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil.
Allan PintoBrazilian Synchrotron Light Laboratory, Brazilian Center for Research in Energy and Materials, Campinas, Brazil.
Luciana Ramalho Pimentel-SilvaNeuroimaging Laboratory, Neurology Department, University of Campinas, School of Medical Sciences, Campinas, Brazil.
Simoni Helena AvansiniNational Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil.
Murilo de CarvalhoNational Laboratory of Biosciences, Brazilian Center for Research in Energy and Materials, Campinas, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of brain connectivity has been a cornerstone in understanding the complexities of neurological and psychiatric disorders. It has provided invaluable insights into the functional architecture of the brain and how it is perturbed in disorders. However, a persistent challenge has been achieving the proper spatial resolution, and developing computational algorithms to address biological questions at the multi-cellular level, a scale often referred to as the mesoscale. Historically, neuroimaging studies of brain connectivity have predominantly focused on the macroscale, providing insights into inter-regional brain connections but often falling short of resolving the intricacies of neural circuitry at the cellular or mesoscale level. This limitation has hindered our ability to fully comprehend the underlying mechanisms of neurological and psychiatric disorders and to develop targeted interventions. In light of this issue, our review manuscript seeks to bridge this critical gap by delving into the domain of mesoscale neuroimaging. We aim to provide a comprehensive overview of conditions affected by aberrant neural connections, image acquisition techniques, feature extraction, and data analysis methods that are specifically tailored to the mesoscale. We further delineate the potential of brain connectivity research to elucidate complex biological questions, with a particular focus on schizophrenia and epilepsy. This review encompasses topics such as dendritic spine quantification, single neuron morphology, and brain region connectivity. We aim to showcase the applicability and significance of mesoscale neuroimaging techniques in the field of neuroscience, highlighting their potential for gaining insights into the complexities of neurological and psychiatric disorders.

Indexed as

computer visionconnectivitydeep learningepilepsymesoscaleNeuroImageschizophreniasegmentation

Identifiers

PMID38445254
PMCPMC10912403

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.