Language in the brain at rest: New insights from intrinsic connectivity data and graph theoretical analysis
In humans, the most obvious functional lateralization is the specialization of the left hemisphere for language. Therefore, the involvement of the right hemisphere in language is one of the most remarkable findings during the last two decades of fMRI research. However, the importance of this finding...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2014-04-01
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| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00228/full |
| _version_ | 1818112841517891584 |
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| author | Angela M Muller Martin eMeyer Martin eMeyer |
| author_facet | Angela M Muller Martin eMeyer Martin eMeyer |
| author_sort | Angela M Muller |
| collection | DOAJ |
| description | In humans, the most obvious functional lateralization is the specialization of the left hemisphere for language. Therefore, the involvement of the right hemisphere in language is one of the most remarkable findings during the last two decades of fMRI research. However, the importance of this finding continues to be underestimated. We examined the interaction between the two hemispheres and also the role of the right hemisphere in language. From two seeds representing Broca’s area, we conducted a seed correlation analysis of resting state fMRI data and could identify an intrinsic connectivity network (ICN) overlapping to significant extent with a language network that was generated by an automated meta-analysis tool. To elucidate the relationship between the clusters of this ICN, we then performed graph theoretical analyses using the same resting state dataset. We show that the right hemisphere is clearly involved in language. A modularity analysis revealed that the interaction between the two hemispheres is mediated by three partitions: A bilateral frontal partition consists of nodes representing the classical left sided language regions as well as two right-sided homologues. The second bilateral partition consists of nodes from the right frontal, the left inferior parietal cortex as well as of two nodes within the posterior cerebellum. The third partition is also bilateral and comprises five regions from the posterior midline parts of the brain to the temporal and frontal cortex, two of the nodes are prominent default mode nodes. The involvement of this last partition in a language relevant function is a novel finding. |
| first_indexed | 2024-12-11T03:25:21Z |
| format | Article |
| id | doaj.art-6a1f6dc9f17742c09c9c4b7e02fefe5a |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-11T03:25:21Z |
| publishDate | 2014-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-6a1f6dc9f17742c09c9c4b7e02fefe5a2022-12-22T01:22:32ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612014-04-01810.3389/fnhum.2014.0022874527Language in the brain at rest: New insights from intrinsic connectivity data and graph theoretical analysisAngela M Muller0Martin eMeyer1Martin eMeyer2University of ZurichUniversity of ZurichUniversity of KlagenfurtIn humans, the most obvious functional lateralization is the specialization of the left hemisphere for language. Therefore, the involvement of the right hemisphere in language is one of the most remarkable findings during the last two decades of fMRI research. However, the importance of this finding continues to be underestimated. We examined the interaction between the two hemispheres and also the role of the right hemisphere in language. From two seeds representing Broca’s area, we conducted a seed correlation analysis of resting state fMRI data and could identify an intrinsic connectivity network (ICN) overlapping to significant extent with a language network that was generated by an automated meta-analysis tool. To elucidate the relationship between the clusters of this ICN, we then performed graph theoretical analyses using the same resting state dataset. We show that the right hemisphere is clearly involved in language. A modularity analysis revealed that the interaction between the two hemispheres is mediated by three partitions: A bilateral frontal partition consists of nodes representing the classical left sided language regions as well as two right-sided homologues. The second bilateral partition consists of nodes from the right frontal, the left inferior parietal cortex as well as of two nodes within the posterior cerebellum. The third partition is also bilateral and comprises five regions from the posterior midline parts of the brain to the temporal and frontal cortex, two of the nodes are prominent default mode nodes. The involvement of this last partition in a language relevant function is a novel finding.http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00228/fullLanguageDefault Mode Networkresting statenetworksgraph theoretical analysisintrinsic connectivity fMRI |
| spellingShingle | Angela M Muller Martin eMeyer Martin eMeyer Language in the brain at rest: New insights from intrinsic connectivity data and graph theoretical analysis Frontiers in Human Neuroscience Language Default Mode Network resting state networks graph theoretical analysis intrinsic connectivity fMRI |
| title | Language in the brain at rest: New insights from intrinsic connectivity data and graph theoretical analysis |
| title_full | Language in the brain at rest: New insights from intrinsic connectivity data and graph theoretical analysis |
| title_fullStr | Language in the brain at rest: New insights from intrinsic connectivity data and graph theoretical analysis |
| title_full_unstemmed | Language in the brain at rest: New insights from intrinsic connectivity data and graph theoretical analysis |
| title_short | Language in the brain at rest: New insights from intrinsic connectivity data and graph theoretical analysis |
| title_sort | language in the brain at rest new insights from intrinsic connectivity data and graph theoretical analysis |
| topic | Language Default Mode Network resting state networks graph theoretical analysis intrinsic connectivity fMRI |
| url | http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00228/full |
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