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Decoding individual identity from brain activity elicited in imagining common experiences
Everyone experiences common events differently. This leads to personal memories that presumably provide neural signatures of individual identity when events are reimagined. We present initial evidence that these signatures can be read from brain activity. To do this, we progress beyond previous work...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679397/ https://www.ncbi.nlm.nih.gov/pubmed/33219210 http://dx.doi.org/10.1038/s41467-020-19630-y |
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author | Anderson, Andrew James McDermott, Kelsey Rooks, Brian Heffner, Kathi L. Dodell-Feder, David Lin, Feng V. |
author_facet | Anderson, Andrew James McDermott, Kelsey Rooks, Brian Heffner, Kathi L. Dodell-Feder, David Lin, Feng V. |
author_sort | Anderson, Andrew James |
collection | PubMed |
description | Everyone experiences common events differently. This leads to personal memories that presumably provide neural signatures of individual identity when events are reimagined. We present initial evidence that these signatures can be read from brain activity. To do this, we progress beyond previous work that has deployed generic group-level computational semantic models to distinguish between neural representations of different events, but not revealed interpersonal differences in event representations. We scanned 26 participants’ brain activity using functional Magnetic Resonance Imaging as they vividly imagined themselves personally experiencing 20 common scenarios (e.g., dancing, shopping, wedding). Rather than adopting a one-size-fits-all approach to generically model scenarios, we constructed personal models from participants’ verbal descriptions and self-ratings of sensory/motor/cognitive/spatiotemporal and emotional characteristics of the imagined experiences. We demonstrate that participants’ neural representations are better predicted by their own models than other peoples’. This showcases how neuroimaging and personalized models can quantify individual-differences in imagined experiences. |
format | Online Article Text |
id | pubmed-7679397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76793972020-11-24 Decoding individual identity from brain activity elicited in imagining common experiences Anderson, Andrew James McDermott, Kelsey Rooks, Brian Heffner, Kathi L. Dodell-Feder, David Lin, Feng V. Nat Commun Article Everyone experiences common events differently. This leads to personal memories that presumably provide neural signatures of individual identity when events are reimagined. We present initial evidence that these signatures can be read from brain activity. To do this, we progress beyond previous work that has deployed generic group-level computational semantic models to distinguish between neural representations of different events, but not revealed interpersonal differences in event representations. We scanned 26 participants’ brain activity using functional Magnetic Resonance Imaging as they vividly imagined themselves personally experiencing 20 common scenarios (e.g., dancing, shopping, wedding). Rather than adopting a one-size-fits-all approach to generically model scenarios, we constructed personal models from participants’ verbal descriptions and self-ratings of sensory/motor/cognitive/spatiotemporal and emotional characteristics of the imagined experiences. We demonstrate that participants’ neural representations are better predicted by their own models than other peoples’. This showcases how neuroimaging and personalized models can quantify individual-differences in imagined experiences. Nature Publishing Group UK 2020-11-20 /pmc/articles/PMC7679397/ /pubmed/33219210 http://dx.doi.org/10.1038/s41467-020-19630-y Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Anderson, Andrew James McDermott, Kelsey Rooks, Brian Heffner, Kathi L. Dodell-Feder, David Lin, Feng V. Decoding individual identity from brain activity elicited in imagining common experiences |
title | Decoding individual identity from brain activity elicited in imagining common experiences |
title_full | Decoding individual identity from brain activity elicited in imagining common experiences |
title_fullStr | Decoding individual identity from brain activity elicited in imagining common experiences |
title_full_unstemmed | Decoding individual identity from brain activity elicited in imagining common experiences |
title_short | Decoding individual identity from brain activity elicited in imagining common experiences |
title_sort | decoding individual identity from brain activity elicited in imagining common experiences |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679397/ https://www.ncbi.nlm.nih.gov/pubmed/33219210 http://dx.doi.org/10.1038/s41467-020-19630-y |
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