Evidence map›Paper›PMID 27110441›Full record

ArticleBrain and behavior2016

Intuitive decision making as a gradual process: investigating semantic intuition-based and priming-based decisions with fMRI.

Thea Zander, Ninja K Horr, Annette Bolte, Kirsten G Volz

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Article in Brain and behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

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18citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  12. Scrutinizing the Emotional Nature of Intuitive Coherence Judgments.Journal of behavioral decision making · 2017
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Thea ZanderWerner Reichardt Centre for Integrative Neuroscience University of Tübingen Tübingen Germany; International Max Planck Research School Tübingen Germany; Department of Psychology University of Basel Switzerland.
Ninja K HorrWerner Reichardt Centre for Integrative Neuroscience University of Tübingen Tübingen Germany; Research Centre for Computational Neuroscience and Cognitive Robotics University of Birmingham Birmingham UK.
Annette BolteTechnische Universität Dresden Dresden Germany.
Kirsten G VolzWerner Reichardt Centre for Integrative Neuroscience University of Tübingen Tübingen Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIntuition has been defined as the instantaneous, experience-based impression of coherence elicited by cues in the environment. In a context of discovery, intuitive decision-making processes can be conceptualized as occurring within two stages, the first of which comprises an implicit perception of coherence that is not (yet) verbalizable. Through a process of spreading activation, this initially non-conscious perception gradually crosses over a threshold of awareness and thereby becomes explicable. Because of its experiential basis, intuition shares conceptual similarities with implicit memory processes. Based on these, the study addresses two research questions: (1) Is the gradual nature of intuitive processes reflected on a neural level? (2) Do intuition-based decisions differ neurally from priming-based decisions?

methodsTo answer these questions, we conducted an fMRI study using the triads task and presented participants with coherent word triads that converge on a common fourth concept, and incoherent word triads that do not converge on a common fourth concept. Participants had to perform semantic coherence judgments as well as to indicate whether they immediately knew the fourth concept. To enable investigating intuition-based and priming-based decisions within the same task and with the same participants, we implemented a conceptual priming procedure into the coherence judgment task. We realized this by priming participants with concepts associated with incoherent triads in separate priming blocks prior to the coherence judgments.

resultsFor intuition-based decisions, imaging results mainly revealed activity within the orbitofrontal cortex, within the inferior frontal gyrus and the middle temporal gyrus. Activity suppression in the right temporo-occipital complex was observed for priming-based decisions.

conclusionsWith respect to research question 1, our data support a continuity model of intuition because the two intuitive stages show quantitatively distinct brain activation patterns. Regarding research question 2, we can draw the preliminary conclusion of a qualitative difference between intuition-based and priming-based decisions.

Indexed as

CuesMagnetic Resonance ImagingSemanticsAdultBrainDecision MakingFemaleHumansIntuitionMaleYoung AdultConceptual primingintuitive decision makingneural activity suppressionorbitofrontal cortextwo‐stage model of intuition

Identifiers

PMID27110441
PMCPMC4834943

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.