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Neural activity and network analysis for understanding reasoning using the matrix reasoning task

Reasoning requires the ability to manipulate mental representations and understand relationships between objects. There is a paucity of research regarding the functional connections between multiple brain areas that may interact during commonly used reasoning tasks. The present study aimed to examin...

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Autores principales: Caudle, M. M., Spadoni, A. D., Schiehser, D. M., Simmons, A. N., Bomyea, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533635/
https://www.ncbi.nlm.nih.gov/pubmed/37597116
http://dx.doi.org/10.1007/s10339-023-01152-2
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author Caudle, M. M.
Spadoni, A. D.
Schiehser, D. M.
Simmons, A. N.
Bomyea, J.
author_facet Caudle, M. M.
Spadoni, A. D.
Schiehser, D. M.
Simmons, A. N.
Bomyea, J.
author_sort Caudle, M. M.
collection PubMed
description Reasoning requires the ability to manipulate mental representations and understand relationships between objects. There is a paucity of research regarding the functional connections between multiple brain areas that may interact during commonly used reasoning tasks. The present study aimed to examine functional activation and connectivity of frontoparietal regions during a Matrix Decision Making Task, completed by twenty-one right-handed healthy participants while undergoing fMRI. Voxel-wise whole brain analysis of neural response to the task revealed activation spanning dorsal and lateral prefrontal, occipital, and parietal regions. Utilizing Group Iterative Multiple Model Estimation, a data-driven approach that estimates the presence and direction of connectivity between specific ROIs, connectivity between prefrontal and sensory processing regions were revealed. Moreover, the magnitude of connectivity strength between the left precentral gyrus and left dorsal cingulate (dACC) was positively correlated with MR behavioral performance. Taken together, results are consistent with earlier work demonstrating involvement of regions comprising the central executive network in relational reasoning. These data expand existing knowledge regarding communication of key brain regions during the task and demonstrate that understanding how key brain regions are interconnected can effectively predict the quality of behavioral output. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10339-023-01152-2.
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spelling pubmed-105336352023-09-29 Neural activity and network analysis for understanding reasoning using the matrix reasoning task Caudle, M. M. Spadoni, A. D. Schiehser, D. M. Simmons, A. N. Bomyea, J. Cogn Process Research Article Reasoning requires the ability to manipulate mental representations and understand relationships between objects. There is a paucity of research regarding the functional connections between multiple brain areas that may interact during commonly used reasoning tasks. The present study aimed to examine functional activation and connectivity of frontoparietal regions during a Matrix Decision Making Task, completed by twenty-one right-handed healthy participants while undergoing fMRI. Voxel-wise whole brain analysis of neural response to the task revealed activation spanning dorsal and lateral prefrontal, occipital, and parietal regions. Utilizing Group Iterative Multiple Model Estimation, a data-driven approach that estimates the presence and direction of connectivity between specific ROIs, connectivity between prefrontal and sensory processing regions were revealed. Moreover, the magnitude of connectivity strength between the left precentral gyrus and left dorsal cingulate (dACC) was positively correlated with MR behavioral performance. Taken together, results are consistent with earlier work demonstrating involvement of regions comprising the central executive network in relational reasoning. These data expand existing knowledge regarding communication of key brain regions during the task and demonstrate that understanding how key brain regions are interconnected can effectively predict the quality of behavioral output. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10339-023-01152-2. Springer Berlin Heidelberg 2023-08-19 2023 /pmc/articles/PMC10533635/ /pubmed/37597116 http://dx.doi.org/10.1007/s10339-023-01152-2 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Caudle, M. M.
Spadoni, A. D.
Schiehser, D. M.
Simmons, A. N.
Bomyea, J.
Neural activity and network analysis for understanding reasoning using the matrix reasoning task
title Neural activity and network analysis for understanding reasoning using the matrix reasoning task
title_full Neural activity and network analysis for understanding reasoning using the matrix reasoning task
title_fullStr Neural activity and network analysis for understanding reasoning using the matrix reasoning task
title_full_unstemmed Neural activity and network analysis for understanding reasoning using the matrix reasoning task
title_short Neural activity and network analysis for understanding reasoning using the matrix reasoning task
title_sort neural activity and network analysis for understanding reasoning using the matrix reasoning task
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533635/
https://www.ncbi.nlm.nih.gov/pubmed/37597116
http://dx.doi.org/10.1007/s10339-023-01152-2
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