Localizing Pain Matrix and Theory of Mind networks with both verbal and non-verbal stimuli
Functional localizer tasks allow researchers to identify brain regions in each individual's brain, using a combination of anatomical and functional constraints. In this study, we compare three social cognitive localizer tasks, designed to efficiently identify regions in the "Pain Matrix,&q...
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| Format: | Article |
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Elsevier
2017
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| Online Access: | http://hdl.handle.net/1721.1/112289 https://orcid.org/0000-0003-2377-1791 |
| _version_ | 1826202186686660608 |
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| author | Koster-Hale, Jorie Jacoby, Nir Bruneau, Emile Gabriel Saxe, Rebecca R |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Koster-Hale, Jorie Jacoby, Nir Bruneau, Emile Gabriel Saxe, Rebecca R |
| author_sort | Koster-Hale, Jorie |
| collection | MIT |
| description | Functional localizer tasks allow researchers to identify brain regions in each individual's brain, using a combination of anatomical and functional constraints. In this study, we compare three social cognitive localizer tasks, designed to efficiently identify regions in the "Pain Matrix," recruited in response to a person's physical pain, and the "Theory of Mind network," recruited in response to a person's mental states (i.e. beliefs and emotions). Participants performed three tasks: first, the verbal false-belief stories task; second, a verbal task including stories describing physical pain versus emotional suffering; and third, passively viewing a non-verbal animated movie, which included segments depicting physical pain and beliefs and emotions. All three localizers were efficient in identifying replicable, stable networks in individual subjects. The consistency across tasks makes all three tasks viable localizers. Nevertheless, there were small reliable differences in the location of the regions and the pattern of activity within regions, hinting at more specific representations. The new localizers go beyond those currently available: first, they simultaneously identify two functional networks with no additional scan time, and second, the non-verbal task extends the populations in whom functional localizers can be applied. These localizers will be made publicly available. |
| first_indexed | 2024-09-23T12:03:52Z |
| format | Article |
| id | mit-1721.1/112289 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T12:03:52Z |
| publishDate | 2017 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/1122892022-10-01T07:54:12Z Localizing Pain Matrix and Theory of Mind networks with both verbal and non-verbal stimuli Koster-Hale, Jorie Jacoby, Nir Bruneau, Emile Gabriel Saxe, Rebecca R Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Jacoby, Nir Bruneau, Emile Gabriel Saxe, Rebecca R Functional localizer tasks allow researchers to identify brain regions in each individual's brain, using a combination of anatomical and functional constraints. In this study, we compare three social cognitive localizer tasks, designed to efficiently identify regions in the "Pain Matrix," recruited in response to a person's physical pain, and the "Theory of Mind network," recruited in response to a person's mental states (i.e. beliefs and emotions). Participants performed three tasks: first, the verbal false-belief stories task; second, a verbal task including stories describing physical pain versus emotional suffering; and third, passively viewing a non-verbal animated movie, which included segments depicting physical pain and beliefs and emotions. All three localizers were efficient in identifying replicable, stable networks in individual subjects. The consistency across tasks makes all three tasks viable localizers. Nevertheless, there were small reliable differences in the location of the regions and the pattern of activity within regions, hinting at more specific representations. The new localizers go beyond those currently available: first, they simultaneously identify two functional networks with no additional scan time, and second, the non-verbal task extends the populations in whom functional localizers can be applied. These localizers will be made publicly available. National Institutes of Health (U.S.) (Grant 1R01 MH096914-01A1) 2017-11-27T16:15:23Z 2017-11-27T16:15:23Z 2015-11 2015-07 2017-11-17T21:12:45Z Article http://purl.org/eprint/type/JournalArticle 1053-8119 http://hdl.handle.net/1721.1/112289 Jacoby, Nir et al. “Localizing Pain Matrix and Theory of Mind Networks with Both Verbal and Non-Verbal Stimuli.” NeuroImage 126 (February 2016): 39–48 © 2015 Elsevier https://orcid.org/0000-0003-2377-1791 http://dx.doi.org/10.1016/J.NEUROIMAGE.2015.11.025 NeuroImage Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier PMC |
| spellingShingle | Koster-Hale, Jorie Jacoby, Nir Bruneau, Emile Gabriel Saxe, Rebecca R Localizing Pain Matrix and Theory of Mind networks with both verbal and non-verbal stimuli |
| title | Localizing Pain Matrix and Theory of Mind networks with both verbal and non-verbal stimuli |
| title_full | Localizing Pain Matrix and Theory of Mind networks with both verbal and non-verbal stimuli |
| title_fullStr | Localizing Pain Matrix and Theory of Mind networks with both verbal and non-verbal stimuli |
| title_full_unstemmed | Localizing Pain Matrix and Theory of Mind networks with both verbal and non-verbal stimuli |
| title_short | Localizing Pain Matrix and Theory of Mind networks with both verbal and non-verbal stimuli |
| title_sort | localizing pain matrix and theory of mind networks with both verbal and non verbal stimuli |
| url | http://hdl.handle.net/1721.1/112289 https://orcid.org/0000-0003-2377-1791 |
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