Literature DB >> 23100417

Changes in neural connectivity underlie decision threshold modulation for reward maximization.

Nikos Green1, Guido P Biele, Hauke R Heekeren.   

Abstract

Using neuroimaging in combination with computational modeling, this study shows that decision threshold modulation for reward maximization is accompanied by a change in effective connectivity within corticostriatal and cerebellar-striatal brain systems. Research on perceptual decision making suggests that people make decisions by accumulating sensory evidence until a decision threshold is crossed. This threshold can be adjusted to changing circumstances, to maximize rewards. Decision making thus requires effectively managing the amount of accumulated evidence versus the amount of available time. Importantly, the neural substrate of this decision threshold modulation is unknown. Participants performed a perceptual decision-making task in blocks with identical duration but different reward schedules. Behavioral and modeling results indicate that human subjects modulated their decision threshold to maximize net reward. Neuroimaging results indicate that decision threshold modulation was achieved by adjusting effective connectivity within corticostriatal and cerebellar-striatal brain systems, the former being responsible for processing of accumulated sensory evidence and the latter being responsible for automatic, subsecond temporal processing. Participants who adjusted their threshold to a greater extent (and gained more net reward) also showed a greater modulation of effective connectivity. These results reveal a neural mechanism that underlies decision makers' abilities to adjust to changing circumstances to maximize reward.

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Year:  2012        PMID: 23100417      PMCID: PMC6704845          DOI: 10.1523/JNEUROSCI.0573-12.2012

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  11 in total

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Journal:  J Neurosci       Date:  2015-03-11       Impact factor: 6.167

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4.  Characterizing the role of the pre-SMA in the control of speed/accuracy trade-off with directed functional connectivity mapping and multiple solution reduction.

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5.  Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making.

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Journal:  Elife       Date:  2015-06-19       Impact factor: 8.140

6.  Neural dynamics implement a flexible decision bound with a fixed firing rate for choice: a model-based hypothesis.

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Journal:  Front Neurosci       Date:  2014-10-21       Impact factor: 4.677

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8.  Evidence Accumulation and Choice Maintenance Are Dissociated in Human Perceptual Decision Making.

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Review 9.  On the neural implementation of the speed-accuracy trade-off.

Authors:  Dominic Standage; Gunnar Blohm; Michael C Dorris
Journal:  Front Neurosci       Date:  2014-08-13       Impact factor: 4.677

10.  Not all observed actions are perceived equally.

Authors:  Artem Platonov; Guy A Orban
Journal:  Sci Rep       Date:  2017-12-06       Impact factor: 4.379

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