Evidence map›Paper›PMID 35361781›Full record

ArticleScientific data2022

The Mexican magnetic resonance imaging dataset of patients with cocaine use disorder: SUDMEX CONN.

Diego Angeles-Valdez, Jalil Rasgado-Toledo, Victor Issa-Garcia, Thania Balducci, Viviana Villicaña, Alely Valencia, Jorge Julio Gonzalez-Olvera, Ernesto Reyes-Zamorano, Eduardo A Garza-Villarreal

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 35 citations in OpenAlex.

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  7. Abnormal ventromedial-to-dorsolateral hierarchical topography of striatal circuits in cocaine use disorder and its modulations by brain stimulation.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
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  10. Biomedizinische Technik. Biomedical engineering · 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

9 authors at 6 institutions in 3 countries.

Diego Angeles-ValdezInstituto de Neurobiología, Universidad Nacional Autónoma de México campus Juriquilla, Querétaro, Mexico.ORCID 0000-0001-8029-8369
Jalil Rasgado-ToledoInstituto de Neurobiología, Universidad Nacional Autónoma de México campus Juriquilla, Querétaro, Mexico.ORCID 0000-0001-5216-7177
Victor Issa-GarciaInstituto de Neurobiología, Universidad Nacional Autónoma de México campus Juriquilla, Querétaro, Mexico.ORCID 0000-0002-9596-988X
Thania BalducciUniversity of Groningen, Department of Biomedical Sciences of Cells and Systems, Cognitive Neuroscience Center, University Medical Center Groningen, Groningen, the Netherlands.
Viviana VillicañaUniversité de Bordeaux, Bordeaux, France.
Alely ValenciaSubdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñız, Mexico City, Mexico.
Jorge Julio Gonzalez-OlveraComisión Nacional para la Prevención de Adicciones, Mexico City, Mexico.
Ernesto Reyes-ZamoranoFaculty of Psychology, Universidad Anáhuac México Sur, Mexico City, Mexico.
Eduardo A Garza-VillarrealInstituto de Neurobiología, Universidad Nacional Autónoma de México campus Juriquilla, Querétaro, Mexico. egarza@comunidad.unam.mx.ORCID 0000-0003-1381-8648
Universidad Nacional Autónoma de México · MXInstituto Nacional de Psiquiatría Ramón de la Fuente Muñiz · MXInstituto para la Atención y Prevención de las Adicciones · MXUniversidad Anáhuac México Sur · MXUniversité de Bordeaux · FRUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cocaine use disorder (CUD) is a substance use disorder (SUD) characterized by compulsion to seek, use and abuse of cocaine, with severe health and economic consequences for the patients, their families and society. Due to the lack of successful treatments and high relapse rate, more research is needed to understand this and other SUD. Here, we present the SUDMEX CONN dataset, a Mexican open dataset of 74 CUD patients (9 female) and matched 64 healthy controls (6 female) that includes demographic, cognitive, clinical, and magnetic resonance imaging (MRI) data. MRI data includes: 1) structural (T1-weighted), 2) multishell high-angular resolution diffusion-weighted (DWI-HARDI) and 3) functional (resting state fMRI) sequences. The repository contains unprocessed MRI data available in brain imaging data structure (BIDS) format with corresponding metadata available at the OpenNeuro data sharing platform. Researchers can pursue brain variability between these groups or use a single group for a larger population sample.

Indexed as

Cocaine-Related DisordersBrainHumansMagnetic Resonance ImagingMexico

Identifiers

PMID35361781
PMCPMC8971535
OpenAlexW4221067747

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.