Abstract
The Hick-Hyman law describes a linear increase in reaction time (RT) as a function of the information entropy of response selection, which is computed as the binary logarithm of the number of response alternatives. While numerous behavioral studies have provided evidence for the Hick-Hyman law, its neural underpinnings have rarely been examined and are still unclear. In this functional magnetic resonance imaging study, by utilizing a choice reaction time task to manipulate the entropy of response selection, we examined brain activity mediating the input and the output, as well as the connectivity between corresponding regions in human participants. Beyond confirming the Hick-Hyman law in RT performance, we found that activation of the cognitive control network (CCN) increased and activation of the default mode network (DMN) decreased, both as a function of entropy. However, only the CCN, but not the DMN, was involved in mediating the relationship between entropy and RT. The CCN was involved in both stages of uncertainty representation and response generation, while the DMN was mainly involved at the stage of uncertainty representation. These findings indicate that the CCN serves as a core entity underlying the Hick-Hyman law by coordinating uncertainty representation and response generation in the brain.
Original language | English (US) |
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Pages (from-to) | 2267-2282 |
Number of pages | 16 |
Journal | Cerebral Cortex |
Volume | 28 |
Issue number | 7 |
DOIs | |
State | Published - Jul 1 2018 |
Funding
National Institute of Mental Health (NIMH) of the National Institutes of Health (NIH) under Award Number (R01 MH094305). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
Keywords
- Choice reaction time
- Cognitive control network
- Default mode network
- Hick-Hyman law
- Information entropy
ASJC Scopus subject areas
- Cognitive Neuroscience
- Cellular and Molecular Neuroscience