| Title |
Temporal Characteristics of EEG Microstates Mediate Trial-by-Trial Risk Taking
|
|---|---|
| Published in |
Brain Topography, December 2016
|
| DOI | 10.1007/s10548-016-0539-6 |
| Pubmed ID | |
| Authors |
Andreas Pedroni, Lorena R. R. Gianotti, Thomas Koenig, Dietrich Lehmann, Pascal Faber, Daria Knoch |
| Abstract |
People seem to have difficulties when perceiving events whose outcome has no influence on the outcome of future events. This illusion that patterns exist where there are none may lead to adverse consequences, such as escalating losses in financial trading or gambling debt. Despite the enormous social consequences of these cognitive biases, however, their neural underpinnings are poorly understood. Attempts to investigate them have so far relied on evoked neural activity, whereas spontaneous brain activity has been treated as noise to be averaged out. Here, we focus on the spontaneous electroencephalographic (EEG) activity during inter-trial-intervals (ITI) in a sequential risky decision-making task. Using multilevel mediation analyses, our results show that the percentage of time covered by two EEG microstates (i.e., functional brain-states of coherent activity) mediate the influence of outcomes of prior decisions on subsequent risk taking on a trial-by-trial basis. The devised multilevel mediation analysis of the temporal characteristics of EEG microstates during ITI provides a new window into the neurobiology of decision making by bringing the spontaneous brain activity to the forefront of the analysis. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Unknown | 70 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 23% |
| Researcher | 8 | 11% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 22 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 18 | 25% |
| Neuroscience | 9 | 13% |
| Computer Science | 5 | 7% |
| Agricultural and Biological Sciences | 3 | 4% |
| Business, Management and Accounting | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 26 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 December 2016.
All research outputs
#20,363,191
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Outputs from Brain Topography
#422
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Outputs of similar age
#353,692
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Outputs of similar age from Brain Topography
#6
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