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Brain Active Areas Associated with a Mental Arithmetic Task: An eLORETA Study

Academic Article
Publication Date:
2023
Short description:
Brain Active Areas Associated with a Mental Arithmetic Task: An eLORETA Study / Dattola, S., Bonanno, L., Ielo, A., Quercia, A., Quartarone, A., La Foresta, F.. - In: BIOENGINEERING. - ISSN 2306-5354. - 10:12(2023). [10.3390/bioengineering10121388]
abstract:
The neural underpinnings of mental calculation, the fundamentals of arithmetic representations and processes, and the development of arithmetic abilities have been explored by researchers over the years. In the present work, we report a study that analyzes the brain-activated areas of a group of 35 healthy subjects (9 males, 26 females, mean age ± SD = 18.23 ± 2.20 years) who performed a serial subtraction arithmetic task. In contrast to most of the studies in the literature based on fMRI, we performed the brain active source reconstruction starting from EEG signals by means of the eLORETA method. In particular, the subjects were classified as bad counters or good counters, according to the results of the task, and the brain activity of the two groups was compared. The results were statistically significant only in the beta band, revealing that the left limbic lobe was found to be more active in people showing better performance. The limbic lobe is involved in visuospatial processing, memory, arithmetic fact retrieval, and emotions. However, the role of the limbic lobe in mental arithmetic has been barely explored, so these interesting findings could represent a starting point for future in-depth analyses. Since there is evidence in the literature that the motor system is affected by the execution of arithmetic tasks, a more extensive knowledge of the brain activation associated with arithmetic tasks could be exploited not only for the assessment of mathematical skills but also in the evaluation of motor impairments and, consequently, in rehabilitation for motor disorders.
Iris type:
1.1 Articolo in rivista
List of contributors:
Dattola, S.; Bonanno, L.; Ielo, A.; Quercia, A.; Quartarone, A.; La Foresta, F.
Authors of the University:
LA FORESTA Fabio
Handle:
https://iris.unirc.it/handle/20.500.12318/142146
Full Text:
https://iris.unirc.it//retrieve/handle/20.500.12318/142146/337654/bioengineering-10-01388.pdf
Published in:
BIOENGINEERING
Journal
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URL

https://www.mdpi.com/2306-5354/10/12/1388
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