Evidence map›Paper›PMID 39627364›Full record

ArticleScientific reports2024

Functional ultrasound and brain connectivity reveal central nervous system compromise in Trembler-J mice model of Charcot-Marie-Tooth disease.

Maximiliano Anzibar Fialho, Mariana Martínez Barreiro, Lucia Vázquez Alberdi, Juan Pablo Damián, Maria Vittoria Di Tomaso, Jérôme Baranger, Mickael Tanter, Miguel Calero, Carlos Negreira, Nicolás Rubido and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Microglia Modulate Information Processing in the Mouse Barrel Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    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

12 authors.

Maximiliano Anzibar FialhoLaboratorio deAcústica Ultrasonora, Instituto de Física, Facultad de Ciencias, Universidad de la República, 11400, Montevideo, Uruguay.
Mariana Martínez BarreiroLaboratorio de Biología Celular del Sistema Nervioso Periférico, Departamento de Proteínas y ÁcidosNucleicos, Instituto de Investigaciones Biológicas Clemente Estable, 11600, Montevideo, Uruguay.
Lucia Vázquez AlberdiLaboratorio de Biología Celular del Sistema Nervioso Periférico, Departamento de Proteínas y ÁcidosNucleicos, Instituto de Investigaciones Biológicas Clemente Estable, 11600, Montevideo, Uruguay.
Juan Pablo DamiánDepartamento de Biociencias Veterinarias, Facultad de Veterinaria, Universidad de la República, 13000, Montevideo, Uruguay.
Maria Vittoria Di TomasoDepartamento de Genética, Instituto de Investigaciones Biológicas Clemente Estable, 11600, Montevideo, Uruguay.
Jérôme BarangerInstitute Physics for Medicine Paris, Inserm U1273, ESPCI Paris, CNRS UMR 8063, PSL University, 75015, Paris, France.
Mickael TanterInstitute Physics for Medicine Paris, Inserm U1273, ESPCI Paris, CNRS UMR 8063, PSL University, 75015, Paris, France.
Miguel CaleroChronic Disease Programme (UFIEC), and CIBERNED, Instituto de Salud Carlos III, 28220, Majadahonda, Madrid, Spain.
Carlos NegreiraLaboratorio deAcústica Ultrasonora, Instituto de Física, Facultad de Ciencias, Universidad de la República, 11400, Montevideo, Uruguay.
Nicolás RubidoInstitute for Complex Systems and Mathematical Biology, University of Aberdeen, King's College, AB24 3UE, Aberdeen, UK.
Alejandra Kun *Laboratorio de Biología Celular del Sistema Nervioso Periférico, Departamento de Proteínas y ÁcidosNucleicos, Instituto de Investigaciones Biológicas Clemente Estable, 11600, Montevideo, Uruguay. akun@fcien.edu.uy.
Javier Brum *Laboratorio deAcústica Ultrasonora, Instituto de Física, Facultad de Ciencias, Universidad de la República, 11400, Montevideo, Uruguay. javier.brum@fcien.edu.uy.

Funding

Agencia Nacional de Investigación e Innovación FCE_1_2019_1_155539Comisión Sectorial de Investigación Científica CSIC2018-FID 13-Grupo ID 722Comisión Sectorial de Investigación Científica CSIC-Grupos I+D 497725-2023-2027PEDECIBA-CNRS-UdelaR Institut Franco-Uruguayen de Physique (IFUP)
6 · The paper itself

Abstract

The Charcot-Marie-Tooth-1E (CMT1E) disease is typically described as a peripheral neuropathy in humans, causing decreased nerve conduction, spastic paralysis, and tremor. The Trembler-J (TrJ) mice serve as a high fidelity model of this disease. Here, we use functional ultrasound (fUS) and functional connectivity (FC) to analyze TrJ mice's brain activity during sensory stimulation and resting state experiments against wild type (WT) mice - the healthy counterpart. fUS is an imaging technique that measures cerebral blood volume (CBV) temporal changes. We study these changes in the primary somatosensory cortex barrel field (S1BF) of both mice populations during periodic vibrissae stimulation, measuring the number of pixels that correlate to the stimulation (i.e., the size of the activation area), the average correlation of these pixels (i.e., the response strength), and the CBV's rate of change for each stimulation (i.e., the hemodynamic response). Then, we construct a FC matrix for each genotype and experiment by correlating the CBV signals from the eight cortical regions defined by the Paxinos and Franklin atlas. Our results show that TrJ mice have significantly diminished neurovascular responses and altered brain connectivity with respect to WT mice, pointing to central nervous system effects that could shift our understanding of the CMT1E disease.

Indexed as

Charcot-Marie-Tooth DiseaseDisease Models, AnimalSomatosensory CortexUltrasonographyAnimalsBrainCentral Nervous SystemMaleMice

Identifiers

PMID39627364
PMCPMC11615332

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.