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Individual differences in functional brain connectivity predict temporal discounting preference in the transition to adolescence
The transition from childhood to adolescence is marked by distinct changes in behavior, including how one values waiting for a large reward compared to receiving an immediate, yet smaller, reward. While previous research has emphasized the relationship between this preference and age, it is also pro...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969312/ https://www.ncbi.nlm.nih.gov/pubmed/30121543 http://dx.doi.org/10.1016/j.dcn.2018.07.003 |
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author | Anandakumar, Jeya Mills, Kathryn L. Earl, Eric A. Irwin, Lourdes Miranda-Dominguez, Oscar Demeter, Damion V. Walton-Weston, Alexandra Karalunas, Sarah Nigg, Joel Fair, Damien A. |
author_facet | Anandakumar, Jeya Mills, Kathryn L. Earl, Eric A. Irwin, Lourdes Miranda-Dominguez, Oscar Demeter, Damion V. Walton-Weston, Alexandra Karalunas, Sarah Nigg, Joel Fair, Damien A. |
author_sort | Anandakumar, Jeya |
collection | PubMed |
description | The transition from childhood to adolescence is marked by distinct changes in behavior, including how one values waiting for a large reward compared to receiving an immediate, yet smaller, reward. While previous research has emphasized the relationship between this preference and age, it is also proposed that this behavior is related to circuitry between valuation and cognitive control systems. In this study, we examined how age and intrinsic functional connectivity strength within and between these neural systems relate to changes in discounting behavior across the transition into adolescence. We used mixed-effects modeling and linear regression to assess the contributions of age and connectivity strength in predicting discounting behavior. First, we identified relevant connections in a longitudinal sample of 64 individuals who completed MRI scans and behavioral assessments 2–3 times across ages 7–15 years (137 scans). We then repeated the analysis in a separate, cross-sectional, sample of 84 individuals (7–13 years). Both samples showed an age-related increase in preference for waiting for larger rewards. Connectivity strength within and between valuation and cognitive control systems accounted for further variance not explained by age. These results suggest that individual differences in functional brain organization can account for behavioral changes typically associated with age. |
format | Online Article Text |
id | pubmed-6969312 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69693122020-01-21 Individual differences in functional brain connectivity predict temporal discounting preference in the transition to adolescence Anandakumar, Jeya Mills, Kathryn L. Earl, Eric A. Irwin, Lourdes Miranda-Dominguez, Oscar Demeter, Damion V. Walton-Weston, Alexandra Karalunas, Sarah Nigg, Joel Fair, Damien A. Dev Cogn Neurosci Original Research The transition from childhood to adolescence is marked by distinct changes in behavior, including how one values waiting for a large reward compared to receiving an immediate, yet smaller, reward. While previous research has emphasized the relationship between this preference and age, it is also proposed that this behavior is related to circuitry between valuation and cognitive control systems. In this study, we examined how age and intrinsic functional connectivity strength within and between these neural systems relate to changes in discounting behavior across the transition into adolescence. We used mixed-effects modeling and linear regression to assess the contributions of age and connectivity strength in predicting discounting behavior. First, we identified relevant connections in a longitudinal sample of 64 individuals who completed MRI scans and behavioral assessments 2–3 times across ages 7–15 years (137 scans). We then repeated the analysis in a separate, cross-sectional, sample of 84 individuals (7–13 years). Both samples showed an age-related increase in preference for waiting for larger rewards. Connectivity strength within and between valuation and cognitive control systems accounted for further variance not explained by age. These results suggest that individual differences in functional brain organization can account for behavioral changes typically associated with age. Elsevier 2018-07-30 /pmc/articles/PMC6969312/ /pubmed/30121543 http://dx.doi.org/10.1016/j.dcn.2018.07.003 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Research Anandakumar, Jeya Mills, Kathryn L. Earl, Eric A. Irwin, Lourdes Miranda-Dominguez, Oscar Demeter, Damion V. Walton-Weston, Alexandra Karalunas, Sarah Nigg, Joel Fair, Damien A. Individual differences in functional brain connectivity predict temporal discounting preference in the transition to adolescence |
title | Individual differences in functional brain connectivity predict temporal discounting preference in the transition to adolescence |
title_full | Individual differences in functional brain connectivity predict temporal discounting preference in the transition to adolescence |
title_fullStr | Individual differences in functional brain connectivity predict temporal discounting preference in the transition to adolescence |
title_full_unstemmed | Individual differences in functional brain connectivity predict temporal discounting preference in the transition to adolescence |
title_short | Individual differences in functional brain connectivity predict temporal discounting preference in the transition to adolescence |
title_sort | individual differences in functional brain connectivity predict temporal discounting preference in the transition to adolescence |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969312/ https://www.ncbi.nlm.nih.gov/pubmed/30121543 http://dx.doi.org/10.1016/j.dcn.2018.07.003 |
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