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The longitudinal stability of fMRI activation during reward processing in adolescents and young adults
BACKGROUND: The use of functional neuroimaging has been an extremely fruitful avenue for investigating the neural basis of human reward function. This approach has included identification of potential neurobiological mechanisms of psychiatric disease and examination of environmental, experiential, a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238413/ https://www.ncbi.nlm.nih.gov/pubmed/33609668 http://dx.doi.org/10.1016/j.neuroimage.2021.117872 |
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author | Baranger, David A.A. Lindenmuth, Morgan Nance, Melissa Guyer, Amanda E. Keenan, Kate Hipwell, Alison E. Shaw, Daniel S. Forbes, Erika E. |
author_facet | Baranger, David A.A. Lindenmuth, Morgan Nance, Melissa Guyer, Amanda E. Keenan, Kate Hipwell, Alison E. Shaw, Daniel S. Forbes, Erika E. |
author_sort | Baranger, David A.A. |
collection | PubMed |
description | BACKGROUND: The use of functional neuroimaging has been an extremely fruitful avenue for investigating the neural basis of human reward function. This approach has included identification of potential neurobiological mechanisms of psychiatric disease and examination of environmental, experiential, and biological factors that may contribute to disease risk via effects on the reward system. However, a central and largely unexamined assumption of much of this research is that neural reward function is an individual difference characteristic that is relatively stable and trait-like over time. METHODS: In two independent samples of adolescents and young adults studied longitudinally (Ns = 145 & 139, 100% female and 100% male, ages 15–21 and 20–22, 2–4 scans and 2 scans respectively), we tested within-person stability of reward-task BOLD activation, with a median of 1 and 2 years between scans. We examined multiple commonly used contrasts of active states and baseline in both the anticipation and feedback phases of a card-guessing reward task. We examined the effects of cortical parcellation resolution, contrast, network (reward regions and resting-state networks), region-size, and activation strength and variability on the stability of reward-related activation. RESULTS: In both samples, contrasts of an active state relative to a baseline were more stable (ICC: intra-class correlation; e.g., Win>Baseline; mean ICC = 0.13 – 0.33) than contrasts of two active states (e.g., Win>Loss; mean ICC = 0.048 – 0.05). Additionally, activation in reward regions was less stable than in many non-task networks (e.g., dorsal attention), and activation in regions with greater between-subject variability showed higher stability in both samples. CONCLUSIONS: These results show that some contrasts from functional neuroimaging activation during a card guessing reward task have partially trait-like properties in adolescent and young adult samples over 1–2 years. Notably, results suggest that contrasts intended to map cognitive function and show robust group-level effects (i.e. Win > Loss) may be less effective in studies of individual differences and disease risk. The robustness of group-level activation should be weighed against other factors when selecting regions of interest in individual difference fMRI studies. |
format | Online Article Text |
id | pubmed-8238413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-82384132021-06-28 The longitudinal stability of fMRI activation during reward processing in adolescents and young adults Baranger, David A.A. Lindenmuth, Morgan Nance, Melissa Guyer, Amanda E. Keenan, Kate Hipwell, Alison E. Shaw, Daniel S. Forbes, Erika E. Neuroimage Article BACKGROUND: The use of functional neuroimaging has been an extremely fruitful avenue for investigating the neural basis of human reward function. This approach has included identification of potential neurobiological mechanisms of psychiatric disease and examination of environmental, experiential, and biological factors that may contribute to disease risk via effects on the reward system. However, a central and largely unexamined assumption of much of this research is that neural reward function is an individual difference characteristic that is relatively stable and trait-like over time. METHODS: In two independent samples of adolescents and young adults studied longitudinally (Ns = 145 & 139, 100% female and 100% male, ages 15–21 and 20–22, 2–4 scans and 2 scans respectively), we tested within-person stability of reward-task BOLD activation, with a median of 1 and 2 years between scans. We examined multiple commonly used contrasts of active states and baseline in both the anticipation and feedback phases of a card-guessing reward task. We examined the effects of cortical parcellation resolution, contrast, network (reward regions and resting-state networks), region-size, and activation strength and variability on the stability of reward-related activation. RESULTS: In both samples, contrasts of an active state relative to a baseline were more stable (ICC: intra-class correlation; e.g., Win>Baseline; mean ICC = 0.13 – 0.33) than contrasts of two active states (e.g., Win>Loss; mean ICC = 0.048 – 0.05). Additionally, activation in reward regions was less stable than in many non-task networks (e.g., dorsal attention), and activation in regions with greater between-subject variability showed higher stability in both samples. CONCLUSIONS: These results show that some contrasts from functional neuroimaging activation during a card guessing reward task have partially trait-like properties in adolescent and young adult samples over 1–2 years. Notably, results suggest that contrasts intended to map cognitive function and show robust group-level effects (i.e. Win > Loss) may be less effective in studies of individual differences and disease risk. The robustness of group-level activation should be weighed against other factors when selecting regions of interest in individual difference fMRI studies. 2021-02-18 2021-05-15 /pmc/articles/PMC8238413/ /pubmed/33609668 http://dx.doi.org/10.1016/j.neuroimage.2021.117872 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Article Baranger, David A.A. Lindenmuth, Morgan Nance, Melissa Guyer, Amanda E. Keenan, Kate Hipwell, Alison E. Shaw, Daniel S. Forbes, Erika E. The longitudinal stability of fMRI activation during reward processing in adolescents and young adults |
title | The longitudinal stability of fMRI activation during reward processing in adolescents and young adults |
title_full | The longitudinal stability of fMRI activation during reward processing in adolescents and young adults |
title_fullStr | The longitudinal stability of fMRI activation during reward processing in adolescents and young adults |
title_full_unstemmed | The longitudinal stability of fMRI activation during reward processing in adolescents and young adults |
title_short | The longitudinal stability of fMRI activation during reward processing in adolescents and young adults |
title_sort | longitudinal stability of fmri activation during reward processing in adolescents and young adults |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238413/ https://www.ncbi.nlm.nih.gov/pubmed/33609668 http://dx.doi.org/10.1016/j.neuroimage.2021.117872 |
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