Resting-State Functional Connectivity in Mathematical Expertise
To what extent are different levels of expertise reflected in the functional connectivity of the brain? We addressed this question by using resting-state functional magnetic resonance imaging (fMRI) in mathematicians versus non-mathematicians. To this end, we investigated how the two groups of parti...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-03-01
|
| Series: | Brain Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3425/11/4/430 |
| _version_ | 1797539725045661696 |
|---|---|
| author | Miseon Shim Han-Jeong Hwang Ulrike Kuhl Hyeon-Ae Jeon |
| author_facet | Miseon Shim Han-Jeong Hwang Ulrike Kuhl Hyeon-Ae Jeon |
| author_sort | Miseon Shim |
| collection | DOAJ |
| description | To what extent are different levels of expertise reflected in the functional connectivity of the brain? We addressed this question by using resting-state functional magnetic resonance imaging (fMRI) in mathematicians versus non-mathematicians. To this end, we investigated how the two groups of participants differ in the correlation of their spontaneous blood oxygen level-dependent fluctuations across the whole brain regions during resting state. Moreover, by using the classification algorithm in machine learning, we investigated whether the resting-state fMRI networks between mathematicians and non-mathematicians were distinguished depending on features of functional connectivity. We showed diverging involvement of the frontal–thalamic–temporal connections for mathematicians and the medial–frontal areas to precuneus and the lateral orbital gyrus to thalamus connections for non-mathematicians. Moreover, mathematicians who had higher scores in mathematical knowledge showed a weaker connection strength between the left and right caudate nucleus, demonstrating the connections’ characteristics related to mathematical expertise. Separate functional networks between the two groups were validated with a maximum classification accuracy of 91.19% using the distinct resting-state fMRI-based functional connectivity features. We suggest the advantageous role of preconfigured resting-state functional connectivity, as well as the neural efficiency for experts’ successful performance. |
| first_indexed | 2024-03-10T12:49:55Z |
| format | Article |
| id | doaj.art-fee73dc3368541b8b46ca3ae07993259 |
| institution | Directory Open Access Journal |
| issn | 2076-3425 |
| language | English |
| last_indexed | 2024-03-10T12:49:55Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj.art-fee73dc3368541b8b46ca3ae079932592023-11-21T13:10:35ZengMDPI AGBrain Sciences2076-34252021-03-0111443010.3390/brainsci11040430Resting-State Functional Connectivity in Mathematical ExpertiseMiseon Shim0Han-Jeong Hwang1Ulrike Kuhl2Hyeon-Ae Jeon3Department of Electronics and Information Engineering, Korea University, Sejong 30019, KoreaDepartment of Electronics and Information Engineering, Korea University, Sejong 30019, KoreaResearch Institute for Cognition and Robotics (CoR-Lab), Machine Learning Group Bielefeld University, 33615 Bielefeld, GermanyDepartment of Brain and Cognitive Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, KoreaTo what extent are different levels of expertise reflected in the functional connectivity of the brain? We addressed this question by using resting-state functional magnetic resonance imaging (fMRI) in mathematicians versus non-mathematicians. To this end, we investigated how the two groups of participants differ in the correlation of their spontaneous blood oxygen level-dependent fluctuations across the whole brain regions during resting state. Moreover, by using the classification algorithm in machine learning, we investigated whether the resting-state fMRI networks between mathematicians and non-mathematicians were distinguished depending on features of functional connectivity. We showed diverging involvement of the frontal–thalamic–temporal connections for mathematicians and the medial–frontal areas to precuneus and the lateral orbital gyrus to thalamus connections for non-mathematicians. Moreover, mathematicians who had higher scores in mathematical knowledge showed a weaker connection strength between the left and right caudate nucleus, demonstrating the connections’ characteristics related to mathematical expertise. Separate functional networks between the two groups were validated with a maximum classification accuracy of 91.19% using the distinct resting-state fMRI-based functional connectivity features. We suggest the advantageous role of preconfigured resting-state functional connectivity, as well as the neural efficiency for experts’ successful performance.https://www.mdpi.com/2076-3425/11/4/430resting-state functional connectivitymathematiciansexpertiseneural efficiencymachine learningsupport vector machine |
| spellingShingle | Miseon Shim Han-Jeong Hwang Ulrike Kuhl Hyeon-Ae Jeon Resting-State Functional Connectivity in Mathematical Expertise Brain Sciences resting-state functional connectivity mathematicians expertise neural efficiency machine learning support vector machine |
| title | Resting-State Functional Connectivity in Mathematical Expertise |
| title_full | Resting-State Functional Connectivity in Mathematical Expertise |
| title_fullStr | Resting-State Functional Connectivity in Mathematical Expertise |
| title_full_unstemmed | Resting-State Functional Connectivity in Mathematical Expertise |
| title_short | Resting-State Functional Connectivity in Mathematical Expertise |
| title_sort | resting state functional connectivity in mathematical expertise |
| topic | resting-state functional connectivity mathematicians expertise neural efficiency machine learning support vector machine |
| url | https://www.mdpi.com/2076-3425/11/4/430 |
| work_keys_str_mv | AT miseonshim restingstatefunctionalconnectivityinmathematicalexpertise AT hanjeonghwang restingstatefunctionalconnectivityinmathematicalexpertise AT ulrikekuhl restingstatefunctionalconnectivityinmathematicalexpertise AT hyeonaejeon restingstatefunctionalconnectivityinmathematicalexpertise |