Spontaneous neural activity in the three principal networks underlying delay discounting: a resting-state fMRI study
Delay discounting, the decline in the subjective value of future rewards over time, has traditionally been understood through a tripartite neural network model, comprising the valuation, cognitive control, and prospection networks. To investigate the applicability of this model in a resting-state co...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Psychiatry |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1320830/full |
| _version_ | 1797334771867582464 |
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| author | Songyue Ji Fan Yang Xueting Li |
| author_facet | Songyue Ji Fan Yang Xueting Li |
| author_sort | Songyue Ji |
| collection | DOAJ |
| description | Delay discounting, the decline in the subjective value of future rewards over time, has traditionally been understood through a tripartite neural network model, comprising the valuation, cognitive control, and prospection networks. To investigate the applicability of this model in a resting-state context, we employed a monetary choice questionnaire to quantify delay discounting and utilized resting-state functional magnetic resonance imaging (rs-fMRI) to explore the role of spontaneous brain activity, specifically regional homogeneity (ReHo), in influencing individual differences in delay discounting across a large cohort (N = 257). Preliminary analyses revealed a significant negative correlation between delay discounting tendencies and the ReHo in both the left insula and the right hippocampus, respectively. Subsequent resting-state functional connectivity (RSFC) analyses, using these regions as seed ROIs, disclosed that all implicated brain regions conform to the three principal networks traditionally associated with delay discounting. Our findings offer novel insights into the role of spontaneous neural activity in shaping individual variations in delay discounting at both regional and network levels, providing the first empirical evidence supporting the applicability of the tripartite network model in a resting-state context. |
| first_indexed | 2024-03-08T08:26:02Z |
| format | Article |
| id | doaj.art-fb4c6741917243dd9bd6805e777d69b1 |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-03-08T08:26:02Z |
| publishDate | 2024-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-fb4c6741917243dd9bd6805e777d69b12024-02-02T04:47:53ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402024-02-011510.3389/fpsyt.2024.13208301320830Spontaneous neural activity in the three principal networks underlying delay discounting: a resting-state fMRI studySongyue JiFan YangXueting LiDelay discounting, the decline in the subjective value of future rewards over time, has traditionally been understood through a tripartite neural network model, comprising the valuation, cognitive control, and prospection networks. To investigate the applicability of this model in a resting-state context, we employed a monetary choice questionnaire to quantify delay discounting and utilized resting-state functional magnetic resonance imaging (rs-fMRI) to explore the role of spontaneous brain activity, specifically regional homogeneity (ReHo), in influencing individual differences in delay discounting across a large cohort (N = 257). Preliminary analyses revealed a significant negative correlation between delay discounting tendencies and the ReHo in both the left insula and the right hippocampus, respectively. Subsequent resting-state functional connectivity (RSFC) analyses, using these regions as seed ROIs, disclosed that all implicated brain regions conform to the three principal networks traditionally associated with delay discounting. Our findings offer novel insights into the role of spontaneous neural activity in shaping individual variations in delay discounting at both regional and network levels, providing the first empirical evidence supporting the applicability of the tripartite network model in a resting-state context.https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1320830/fulldelay discountingReHofunctional connectivitythe tripartite network modelresting-state fMRI |
| spellingShingle | Songyue Ji Fan Yang Xueting Li Spontaneous neural activity in the three principal networks underlying delay discounting: a resting-state fMRI study Frontiers in Psychiatry delay discounting ReHo functional connectivity the tripartite network model resting-state fMRI |
| title | Spontaneous neural activity in the three principal networks underlying delay discounting: a resting-state fMRI study |
| title_full | Spontaneous neural activity in the three principal networks underlying delay discounting: a resting-state fMRI study |
| title_fullStr | Spontaneous neural activity in the three principal networks underlying delay discounting: a resting-state fMRI study |
| title_full_unstemmed | Spontaneous neural activity in the three principal networks underlying delay discounting: a resting-state fMRI study |
| title_short | Spontaneous neural activity in the three principal networks underlying delay discounting: a resting-state fMRI study |
| title_sort | spontaneous neural activity in the three principal networks underlying delay discounting a resting state fmri study |
| topic | delay discounting ReHo functional connectivity the tripartite network model resting-state fMRI |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1320830/full |
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