Neural correlates of dual-task effect on belief-bias syllogistic reasoning: A near-infrared spectroscopy study

Tsujii, Takeo; Watanabe, Shigeru

doi:10.1016/j.brainres.2009.06.080

Cited by 58 publications

(36 citation statements)

References 55 publications

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“…We were interested in the overall conflict between these two factors, and had no specific hypotheses about possible further lower level interactions. As in previous studies, our analyses therefore focused on the main conflict factor and collapsed data over the belief and validity levels (e.g., De Neys, 2006;Goel & Dolan, 2003;Stanovich & West, 2000;Tsujii & Watanabe, 2009). For completeness, we did enter the two factors separately in a 2 (believability) 2 (validity) 2 (experiment) mixed-model ANOVA on the SCRs in the reasoning phase.…”

Section: Discussionmentioning

confidence: 99%

Feeling we’re biased: Autonomic arousal and reasoning conflict

Neys

Moyens

Vansteenwegen

2010

Cognitive, Affective, & Behavioral Neuroscience

112

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Human reasoning is often biased by intuitive beliefs. A key question is whether the bias results from a failure to detect that the intuitions conflict with logical considerations or from a failure to discard these tempting intuitions. The present study addressed this unresolved debate by focusing on conflict-related autonomic nervous system modulation during biased reasoning. Participants' skin conductance responses (SCRs) were monitored while they solved classic syllogisms in which a cued intuitive response could be inconsistent or consistent with the logical correct response. Results indicated that all reasoners showed increased SCRs when solving the inconsistent conflict problems. Experiment 2 validated that this autonomic arousal boost was absent when people were not engaged in an active reasoning task. The presence of a clear autonomic conflict response during reasoning lends credence to the idea that reasoners have a "gut" feeling that signals that their intuitive response is not logically warranted. Supplemental materials for this article may be downloaded from http://cabn.psychonomic -journals.org/content/supplemental.

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Section: Discussionmentioning

confidence: 99%

Feeling we’re biased: Autonomic arousal and reasoning conflict

Neys

Moyens

Vansteenwegen

2010

Cognitive, Affective, & Behavioral Neuroscience

112

View full text Add to dashboard Cite

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“…In the last seven to eight years, numerous researchers from Japan (Suto et al, 2004;Tanida et al, 2007;Tsujii and Watanabe, 2009;Tsunashima and Yanagisawa, 2009) and Europe (Boecker et al, 2007;Jourdan Moser et al, 2009;Obrig and Steinbrink, 2011;Plichta et al, 2007b;Schecklmann et al, 2008Schecklmann et al, , 2010Schroeter et al, 2004), have conducted a large amount of research to explore fNIRS as a feasible device to detect neurocognitive functions in response to higher-level processing of the brain. In addition, many researchers have focused their efforts on technical developments in both instruments (Joseph et al, 2006;Schmitz et al, 2000;Zeff et al, 2007) and image reconstruction algorithms Huppert, 2009, 2010;Barbour et al, 2001;Boas et al, 2004;Culver et al, 2003;Dehghani et al, 2009;Niu et al, 2010;Pogue et al, 1999) to establish diffuse optical tomography (DOT) with better spatial resolution.…”

Section: Two Complementary Approaches To Fnirs Brain Imagingmentioning

confidence: 99%

“…The former one is based on channel-wise analysis, which requires no complex image reconstruction and explores fNIRS applications for clinical and neuropsychological needs (Boecker et al, 2007;Bortfeld et al, 2009;Hyde et al, 2010;Jourdan Moser et al, 2009;Leff et al, 2011;Obrig and Steinbrink, 2011;Plichta et al, 2007b;Schecklmann et al, 2008Schecklmann et al, , 2010Schroeter et al, 2004;Suto et al, 2004;Tanida et al, 2007;Tsujii and Watanabe, 2009;Tsunashima and Yanagisawa, 2009). The data analyses rely mainly on a statistical approach, such as using General Linear Model (Plichta et al, 2007a;Ye et al, 2009).…”

Section: Two Complementary Approaches To Fnirs Brain Imagingmentioning

confidence: 99%

Comparison of neural correlates of risk decision making between genders: An exploratory fNIRS study of the Balloon Analogue Risk Task (BART)

et al. 2012

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“…To overcome the first limitation, many research groups [Cui et al, 2011;Leff et al, 2011;Plichta et al, 2007;Schecklmann et al, 2008;Schroeter et al, 2004;Tsujii and Watanabe, 2009;Ye et al, 2009] have followed an analysis method commonly used by fMRI researchers, namely, the general linear model (GLM)-based analysis. It examines whether or not the experimental fNIRS data and a designed linear model are matched over the entire experimental time course.…”

Section: Introductionmentioning

confidence: 99%

Atlas‐guided volumetric diffuse optical tomography enhanced by generalized linear model analysis to image risk decision‐making responses in young adults

Lin

Cazzell

et al. 2014

Human Brain Mapping

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Diffuse optical tomography (DOT) is a variant of functional near infrared spectroscopy and has the capability of mapping or reconstructing three dimensional (3D) hemodynamic changes due to brain activity. Common methods used in DOT image analysis to define brain activation have limitations because the selection of activation period is relatively subjective. General linear model (GLM)-based analysis can overcome this limitation. In this study, we combine the atlas-guided 3D DOT image reconstruction with GLM-based analysis (i.e., voxel-wise GLM analysis) to investigate the brain activity that is associated with risk decision-making processes. Risk decision-making is an important cognitive process and thus is an essential topic in the field of neuroscience. The Balloon Analog Risk Task (BART) is a valid experimental model and has been commonly used to assess human risk-taking actions and tendencies while facing risks. We have used the BART paradigm with a blocked design to investigate brain activations in the prefrontal and frontal cortical areas during decision-making from 37 human participants (22 males and 15 females). Voxel-wise GLM analysis was performed after a human brain atlas template and a depth compensation algorithm were combined to form atlas-guided DOT images. In this work, we wish to demonstrate the excellence of using voxel-wise GLM analysis with DOT to image and study cognitive functions in response to risk decision-making. Results have shown significant hemodynamic changes in the dorsal lateral prefrontal cortex (DLPFC) during the active-choice mode and a different activation pattern between genders; these findings correlate well with published literature in functional magnetic resonance imaging (fMRI) and fNIRS studies.

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Neural correlates of dual-task effect on belief-bias syllogistic reasoning: A near-infrared spectroscopy study

Cited by 58 publications

References 55 publications

Feeling we’re biased: Autonomic arousal and reasoning conflict

Feeling we’re biased: Autonomic arousal and reasoning conflict

Comparison of neural correlates of risk decision making between genders: An exploratory fNIRS study of the Balloon Analogue Risk Task (BART)

Atlas‐guided volumetric diffuse optical tomography enhanced by generalized linear model analysis to image risk decision‐making responses in young adults

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