| Title |
Risk-seeking for losses is associated with 5-HTTLPR, but not with transient changes in 5-HT levels
|
|---|---|
| Published in |
Psychopharmacology, May 2018
|
| DOI | 10.1007/s00213-018-4913-9 |
| Pubmed ID | |
| Authors |
Philipp T. Neukam, Nils B. Kroemer, Yacila I. Deza Araujo, Lydia Hellrung, Shakoor Pooseh, Marcella Rietschel, Stephanie H. Witt, Uwe Schwarzenbolz, Thomas Henle, Michael N. Smolka |
| Abstract |
Serotonin (5-HT) plays a key role in different aspects of value-based decision-making. A recent framework proposed that tonic 5-HT (together with dopamine, DA) codes future average reward expectations, providing a baseline against which possible choice outcomes are compared to guide decision-making. To test whether high 5-HT levels decrease loss aversion, risk-seeking for gains, and risk-seeking for losses. In a first session, 611 participants were genotyped for 5-HTTLPR and performed a mixed gambles (MGA) task and two probability discounting tasks for gains and losses, respectively (PDG/PDL). Afterwards, a subsample of 105 participants (44 with S/S, 6 with S/L, 55 with L/L genotype) completed the pharmacological study using a crossover design with tryptophan depletion (ATD), loading (ATL), and balanced (BAL) conditions. The same decision constructs were assessed. We found increased risk-seeking for losses in S/S compared to L/L individuals at the first visit (p = 0.002). Neither tryptophan depletion nor loading affected decision-making, nor did we observe an interaction between intervention and 5-HTTLPR genotype. Our data do not support the idea that transient changes of tonic 5-HT affect value-based decision-making. We provide evidence for an association of 5-HTTLPR with risk-seeking for losses, independent of acute 5-HT levels. This indicates that the association of 5-HTTLPR and risk-seeking for losses is mediated via other mechanisms, possibly by differences in the structural development of neural circuits of the 5-HT system during early life phases. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Hong Kong | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 24% |
| Researcher | 7 | 12% |
| Student > Bachelor | 5 | 9% |
| Student > Doctoral Student | 4 | 7% |
| Professor | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 18 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 15 | 26% |
| Neuroscience | 8 | 14% |
| Medicine and Dentistry | 4 | 7% |
| Engineering | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 23 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 November 2019.
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#13,903,875
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Outputs from Psychopharmacology
#4,018
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Outputs of similar age from Psychopharmacology
#18
of 35 outputs
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