Executive control by fronto-parietal activity explains counterintuitive decision behavior in complex value-based decision-making

Matsui, Teppei; Hattori, Yoshiki; Tsumura, Kaho; Aoki, Ryuichi; Takeda, Masaki; Nakahara, Kiyoshi; Jimura, Koji

doi:10.1016/j.neuroimage.2022.118892

Cited by 10 publications

(8 citation statements)

References 68 publications

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“…Voxel-based representation of SAPs allowed us to perform decoding analysis on SAPs, which produced word clouds based on their topographical similarity to functional brain maps curated in previous meta-analyses ( Figure 2 ; see also Methods; Yarkoni et al, 2011 ; Margulies et al, 2016 ; Chen et al, 2018 ; Gonzalez-Castillo et al, 2019 ; Matsui et al, 2022b ). SAPs for Sub-clusters 1-1, 3-1, and 4-1 showed similarity to functional maps for motor movement and somatosensory stimulation.…”

Section: Resultsmentioning

confidence: 99%

“…To characterize the SAP maps, we decoded SAP maps based on their topographical structure (Margulies et al, 2016 ; Figure 2 ). Voxel-based reconstruction of SAP maps allowed us to use existing meta-analyses of functional brain mapping ( https://neurosynth.org ; Yarkoni et al, 2011 ; Gonzalez-Castillo et al, 2019 ; Matsui et al, 2022b ) to decode weighted word lists that characterize the SAP maps. Large weights associated with the decoded words reflect greater topographical similarity between an SAP map and functional brain maps associated with the words in the meta-analysis database (Yarkoni et al, 2011 ).…”

Section: Methodsmentioning

confidence: 99%

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A method for reconstruction of interpretable brain networks from transient synchronization in resting-state BOLD fluctuations

Noro

Matsui

et al. 2023

Front. Neuroinform.

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Resting-state (rs) fMRI has been widely used to examine brain-wide large-scale spatiotemporal architectures, known as resting-state networks (RSNs). Recent studies have focused on the temporally evolving characteristics of RSNs, but it is unclear what temporal characteristics are reflected in the networks. To address this issue, we devised a novel method for voxel-based visualization of spatiotemporal characteristics of rs-fMRI with a time scale of tens of seconds. We first extracted clusters of dominant activity-patterns using a region-of-interest approach and then used these temporal patterns of the clusters to obtain voxel-based activation patterns related to the clusters. We found that activation patterns related to the clusters temporally evolved with a characteristic temporal structure and showed mutual temporal alternations over minutes. The voxel-based representation allowed the decoding of activation patterns of the clusters in rs-fMRI using a meta-analysis of functional activations. The activation patterns of the clusters were correlated with behavioral measures. Taken together, our analysis highlights a novel approach to examine brain activity dynamics during rest.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

A method for reconstruction of interpretable brain networks from transient synchronization in resting-state BOLD fluctuations

Noro

Matsui

et al. 2023

Front. Neuroinform.

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“…A key component of the previous study is that we examined choice difficulty effects independently of intertemporal choice effects per se (i.e., self-control or impulsivity) because the choice effect was subtracted out. Another study showed that complex decision-making where a choice option involved multiple factors that formed high dimensionality of choice information involved fronto-parietal mechanisms associated with cognitive control (Matsui et al 2022). As such, the involvement of cognitive control in value-based decision-making may reflect increased cognitive demands for computation of the choice information, but not self-control.…”

Section: Discussionmentioning

confidence: 99%

Healthy dietary choices involve prefrontal mechanisms associated with long-term reward maximization but not cognitive control

Takehana,

Tanaka,

Arai

et al. 2024

Preprint

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Taste and health are critical factors to be considered when choosing foods. Prioritizing healthiness over tastiness requires self-control. It has also been suggested that self-control is guided by cognitive control. We then hypothesized that neural mechanisms underlying healthy food choice are associated with both self-control and cognitive control. Human participants performed a food choice task and a working memory (WM) task during functional MRI scanning. Their degree of self-control was assessed behaviorally by the value discount of delayed monetary rewards in intertemporal choice. Prioritizing healthiness in food choice was associated with greater activity in the superior, dorsolateral, and medial prefrontal cortices. Importantly, the prefrontal activity was greater in individuals with smaller delay discounting (i.e., high self-control) who preferred a delayed larger reward to an immediate smaller reward in intertemporal choice. On the other hand, WM activity did not show a correlation with delay discounting or food choice activity, which was further supported by supplementary results that analyzed data from the Human Connectome Project. Our results suggest that the prefrontal cortex plays a critical role in healthy food choice, which requires self-control, but not cognitive control, for maximization of reward attainments in a remote future.

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“…As nodes of cognitive control network (Monosov et al, 2020;Domic-Siede et al, 2021), albeit these regions were seldom reported to vary in mean fMRI responses of different choices (McClure et al, 2004(McClure et al, , 2007, they have been reported to be preferentially activated in difficult choice trials (McClure et al, 2004;Jimura et al, 2018) and shorter delay time (Wang et al, 2021). Additionally, recruitment of cognitive control system has also been reported in other value-based decision making tasks (Lee and Daunizeau, 2021;Matsui et al, 2022). Together with a previous study (Chen et al, 2019), our results corroborated these findings and took a step further with the help of multivariate analysis to demonstrate an integrative framework of intertemporal choice, in which value system as well as control system are implemented (Berns et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

Multivariate analysis differentiates intertemporal choices in both value and cognitive control network

Wang²

2023

Front. Neurosci.

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Choices between immediate smaller reward and long-term larger reward are referred to as intertemporal choice. Numerous functional magnetic resonance imaging (fMRI) studies have investigated the neural substrates of intertemporal choice via conventional univariate analytical approaches, revealing dissociable activations of decisions involving immediately available rewards and decisions involving delayed rewards in value network. With the help of multivariate analyses, which is more sensitive for evaluating information encoded in spatially distributed patterns, we showed that fMRI activity patterns represent viable signatures of intertemporal choice, as well as individual differences while controlling for age. Notably, in addition to value network, regions from cognitive control network play prominent roles in differentiating between different intertemporal choices as well as individuals with distinct discount rates. These findings provide clear evidence that substantiates the important role of value and cognitive control networks in the neural representation of one’s intertemporal decisions.

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Executive control by fronto-parietal activity explains counterintuitive decision behavior in complex value-based decision-making

Cited by 10 publications

References 68 publications

A method for reconstruction of interpretable brain networks from transient synchronization in resting-state BOLD fluctuations

A method for reconstruction of interpretable brain networks from transient synchronization in resting-state BOLD fluctuations

Healthy dietary choices involve prefrontal mechanisms associated with long-term reward maximization but not cognitive control

Multivariate analysis differentiates intertemporal choices in both value and cognitive control network

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