Evidence map›Paper›PMID 36446926›Full record

ArticleScientific reports2022

Brain structural parameters correlate with University Selection Test outcomes in Chilean high school graduates.

Daniza Ivanovic, Francisco Zamorano, Patricia Soto-Icaza, Tatiana Rojas, Cristián Larraín, Claudio Silva, Atilio Almagià, Claudia Bustamante, Violeta Arancibia, Francisca Villagrán and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 23% 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, 5 citations in OpenAlex.

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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

13 authors at 5 institutions in 2 countries.

Daniza IvanovicLaboratory of Nutrition and Neurological Sciences, Human Nutrition Area, Institute of Nutrition and Food Technology Dr. Fernando Monckeberg Barros (INTA), University of Chile, Santiago, Chile. islabrac02@gmail.com.
Francisco ZamoranoUnidad de Imágenes Cuantitativas Avanzadas, Departamento de Imágenes, Clínica Alemana, Universidad del Desarrollo, Santiago, Chile.
Patricia Soto-IcazaLaboratorio de Neurociencia Social y Neuromodulación, Centro de Investigación en Complejidad Social (neuroCICS), Facultad de Gobierno, Universidad del Desarrollo, Santiago, Chile.
Tatiana RojasLaboratory of Nutrition and Neurological Sciences, Human Nutrition Area, Institute of Nutrition and Food Technology Dr. Fernando Monckeberg Barros (INTA), University of Chile, Santiago, Chile.
Cristián LarraínRadiology Department, Facultad de Medicina-Clínica Alemana, Universidad del Desarrollo, Santiago, Chile.
Claudio SilvaRadiology Department, Facultad de Medicina-Clínica Alemana, Universidad del Desarrollo, Santiago, Chile.
Atilio AlmagiàLaboratory of Physical Anthropology and Human Anatomy, Institute of Biology, Faculty of Sciences, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.
Claudia BustamanteLaboratory of Nutrition and Neurological Sciences, Human Nutrition Area, Institute of Nutrition and Food Technology Dr. Fernando Monckeberg Barros (INTA), University of Chile, Santiago, Chile.
Violeta ArancibiaDepartment of Global Partnership for Education (GPE) World Bank, Washington, USA.
Francisca VillagránLaboratory of Nutrition and Neurological Sciences, Human Nutrition Area, Institute of Nutrition and Food Technology Dr. Fernando Monckeberg Barros (INTA), University of Chile, Santiago, Chile.
Rodrigo ValenzuelaDepartment of Nutrition, Faculty of Medicine, University of Chile, Santiago, Chile.
Cynthia BarreraDepartment of Nutrition, Faculty of Medicine, University of Chile, Santiago, Chile.
Pablo BillekeLaboratorio de Neurociencia Social y Neuromodulación, Centro de Investigación en Complejidad Social (neuroCICS), Facultad de Gobierno, Universidad del Desarrollo, Santiago, Chile. pbilleke@udd.cl.
University of Chile · CLUniversidad del Desarrollo · CLClínica Alemana · CLPontificia Universidad Católica de Valparaíso · CLWorld Bank · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How well students learn and perform in academic contexts is a focus of interest for the students, their families, and the entire educational system. Although evidence has shown that several neurobiological factors are involved in scholastic achievement (SA), specific brain measures associated with academic outcomes and whether such associations are independent of other factors remain unclear. This study attempts to identify the relationship between brain structural parameters, and the Chilean national University Selection Test (PSU) results in high school graduates within a multidimensional approach that considers socio-economic, intellectual, nutritional, and demographic variables. To this end, the brain morphology of a sample of 102 students who took the PSU test was estimated using Magnetic Resonance Imaging. Anthropometric parameters, intellectual ability (IA), and socioeconomic status (SES) were also measured. The results revealed that, independently of sex, IA, gray matter volume, right inferior frontal gyrus thickness, and SES were significantly associated with SA. These findings highlight the role of nutrition, health, and socioeconomic variables in academic success.

Indexed as

BrainStudentsChileHumansSchoolsUniversities

Identifiers

PMID36446926
PMCPMC9709063
OpenAlexW4310229368

What OpenQuestion holds

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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.