Evidence map›Paper›PMID 42243246›Full record

ArticleScientific reports2026

Multimodal age-dependent diffusion-MRI analysis of the neocortex in a rat model of cortical dysplasia.

Paulina J Villaseñor, Hiram Luna-Munguía, Alonso Ramirez-Manzanares, Ricardo Coronado-Leija, Luis Concha

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Paulina J VillaseñorInstituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Querétaro, Mexico.ORCID http://orcid.org/0009-0001-7928-9390
Hiram Luna-MunguíaInstituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Querétaro, Mexico.ORCID http://orcid.org/0000-0002-5113-1444
Alonso Ramirez-ManzanaresCentro de Investigación en Matemáticas, A.C., Guanajuato, Mexico.ORCID http://orcid.org/0000-0001-6645-9162
Ricardo Coronado-LeijaBernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, USA.ORCID http://orcid.org/0000-0002-5846-2932
Luis ConchaInstituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Querétaro, Mexico. lconcha@unam.mx.ORCID http://orcid.org/0000-0002-7842-3869

Funding

Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México IA200621Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México IN2044720Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México IN211326Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México IN213423Secretaría de Ciencia, Humanidades, Tecnología e Innovación 798166Secretaría de Ciencia, Humanidades, Tecnología e Innovación CF-218-2023
6 · The paper itself

Abstract

The neocortex is a highly organized structure, with region-specific spatial patterns of cells and fibers constituting cyto- and myelo-architecture, respectively. These architectural features are modulated during neurodevelopment, aging, and disease. While invasive techniques have contributed significantly to our understanding of cortical patterning, the task remains challenging through non-invasive methods. Structural magnetic resonance imaging (MRI) has advanced to improve sensitivity in identifying cortical features, yet most methods focus on capturing macrostructural characteristics, often overlooking critical microscale components. Diffusion-weighted MRI (dMRI) offers an opportunity to extract quantitative information reflecting microstructural changes. Here we investigate how different dMRI modalities contribute to the detection of microstructural characteristics and whether per-bundle approaches can disentangle characteristics related to the orientational organization of the myelo- and cyto-architecture in an animal model of cortical dysplasia, a malformation of cortical development. We scanned 32 animals (n=16 experimental; n=16 control) at four different time points (30, 60, 120, and 150 post-natal days) using both structural and multi-shell dMRI. All dMRI metrics were sampled using a 2D curvilinear system of coordinates as a common anatomical descriptor across animals. Per-bundle metrics were labeled according to their orientation with respect to the cortical surface, and analyzed separately. Experimental animals showed diffusion abnormalities of the tangential and radial fiber components in deeper cortical areas, consistent with histological findings of neuronal and fiber disorganization. The ability of dMRI to detect abnormalities in an animal model of cortical dysplasia is indicative of the clinical potential of advanced dMRI methods to study cortical microstructure in neurological disorders.

Indexed as

Diffusion Magnetic Resonance ImagingMalformations of Cortical DevelopmentNeocortexAgingAnimalsDisease Models, AnimalFemaleRats

Identifiers

PMID42243246
PMCPMC13478594

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.