A neuroimaging data set on problem solving in the case of the reversal error: Putamen data
comunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
A neuroimaging data set on problem solving in the case of the reversal error: Putamen dataFecha de publicación
2020-09-19Editor
ElsevierCita bibliográfica
FERRANDO, Lara; VENTURA-CAMPOS, Noelia; EPIFANIO, Irene. A neuroimaging data set on problem solving in the case of the reversal error: Putamen data. Data in Brief, 2020, p. 106322.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.sciencedirect.com/science/article/pii/S2352340920312166Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Structural Magnetic Resonance Images (sMRI) for a sample of university students were recorded. Out of magnetic resonance, students performed a test of algebra problem solving. As we are interested in reversal errors, ... [+]
Structural Magnetic Resonance Images (sMRI) for a sample of university students were recorded. Out of magnetic resonance, students performed a test of algebra problem solving. As we are interested in reversal errors, the test was prepared to detect this kind of error.
Depending on the number of mistakes made, students were divided into two groups: one group contains 15 students that responded erroneously to more than 60% of the 16 questions, and the other group contains 18 students that did not make any mistake.
We are interested in the more relevant brain structures for this neuroeducation problem. The analysis of these data can be found in Ferrando et al. (2020) [1]. The results of the volumetric analysis showed differences between groups in the right and left putamen. Therefore, both putamens were pre-processed and segmented to use them in the shape analysis.
The dataset contains the slices of the left and right putamen and the left putamen of each of 33 subjects, 20 females. It also contains a vector that indicates the group to each subject belongs to. [-]
Publicado en
Data in Brief, 2020, v. 33Proyecto de investigación
1) DPI2017- 87333-R from the Spanish Ministry of Science, Innovation and Universities (AEI/FEDER, EU) and 2) UJI-A2017-8 and UJI-B2017-13 from Universitat Jaume I.Derechos de acceso
info:eu-repo/semantics/openAccess
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