Pre-existing brain states predict risky choices

Huang, Yufeng; Soon, Chun Siong; Mullette-Gillman, O'Dhaniel A.; Hsieh, Po‐Jang

doi:10.1016/j.neuroimage.2014.07.036

Cited by 27 publications

(15 citation statements)

References 49 publications

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“…One analysis that discriminated between left and right finger tapping (Carp, Park, Hebrank, Park, & Polk, 2011) was also excluded from the strict categorization, because it was not clear whether the side to tap was confounded with a visual cue. Two further studies were excluded from our stricter analysis, because it was unclear which of two possible motor responses was modeled (Colas & Hsieh, 2014;Huang, Soon, Mullette-Gillman, & Hsieh, 2014).…”

Section: Characterization Of Task Featuresmentioning

confidence: 99%

Coding of Visual, Auditory, Rule, and Response Information in the Brain: 10 Years of Multivoxel Pattern Analysis

Woolgar

Jackson

Duncan

2016

Journal of Cognitive Neuroscience

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Abstract■ How is the processing of task information organized in the brain? Many views of brain function emphasize modularity, with different regions specialized for processing different types of information. However, recent accounts also highlight flexibility, pointing especially to the highly consistent pattern of frontoparietal activation across many tasks. Although early insights from functional imaging were based on overall activation levels during different cognitive operations, in the last decade many researchers have used multivoxel pattern analyses to interrogate the representational content of activations, mapping out the brain regions that make particular stimulus, rule, or response distinctions. Here, we drew on 100 searchlight decoding analyses from 57 published papers to characterize the information coded in different brain networks. The outcome was highly structured. Visual, auditory, and motor networks predominantly (but not exclusively) coded visual, auditory, and motor information, respectively. By contrast, the frontoparietal multiple-demand network was characterized by domain generality, coding visual, auditory, motor, and rule information. The contribution of the default mode network and voxels elsewhere was minor. The data suggest a balanced picture of brain organization in which sensory and motor networks are relatively specialized for information in their own domain, whereas a specific frontoparietal network acts as a domain-general "core" with the capacity to code many different aspects of a task. ■

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Section: Characterization Of Task Featuresmentioning

confidence: 99%

Coding of Visual, Auditory, Rule, and Response Information in the Brain: 10 Years of Multivoxel Pattern Analysis

Woolgar

Jackson

Duncan

2016

Journal of Cognitive Neuroscience

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“…We found that the vmPFC, which is related to value evaluation (Bartra et al, ; Clithero & Rangel, ), and the dlPFC, which is related to self‐control (Figner et al, ; Hare et al, ), could guide human behavioral choices during intertemporal choices by spatial patterns of activity of multiple voxels. Previous studies have also revealed that various types of decision‐making could be decoded from brain activity (Domenech et al, ; Huang et al, ; Pogoda et al, ; Vickery et al, ).…”

Section: Discussionmentioning

confidence: 98%

“…MVPA takes into account the spatial patterns of voxel activity to examine what information is expressed jointly (Cohen et al, ). It is an appropriate method for decoding cognitive processes and has been widely used in recent functional magnetic resonance imaging (fMRI) studies (Chavez, Heatherton, & Wagner, ; Koizumi et al, ), including those on decision‐making (Domenech, Redoute, Koechlin, & Dreher, ; Huang, Soon, Mullette‐Gillman, & Hsieh, ; Pogoda, Holzer, Mormann, & Weber, ; Vickery, Chun, & Lee, ; Wang et al, ). Neural activity patterns in the frontal lobe can be used to decode subjective choices during a reward‐learning task in humans (Hampton & O'Doherty, ) as well as in macaques (Rich & Wallis, ).…”

Section: Introductionmentioning

confidence: 99%

Transforming brain signals related to value evaluation and self‐control into behavioral choices

Zha

Wei

et al. 2018

Human Brain Mapping

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The processes involved in value evaluation and self‐control are critical when making behavioral choices. However, the evidence linking these two types of processes to behavioral choices in intertemporal decision‐making remains elusive. As the ventromedial prefrontal cortex (vmPFC), striatum, and dorsolateral prefrontal cortex (dlPFC) have been associated with these two processes, we focused on these three regions. We employed functional magnetic resonance imaging during a delayed discounting task (DDT) using a relatively large sample size, three independent samples. We evaluated how much information about a specific choice could be decoded from local patterns in each brain area using multivoxel pattern analysis (MVPA). To investigate the relationship between the dlPFC and vmPFC/striatum regions, we performed a psychophysiological interaction (PPI) analysis. In Experiment I, we found that the vmPFC and dlPFC, but not the striatum, could determine choices in healthy participants. Furthermore, we found that the dlPFC showed significant functional connectivity with the vmPFC, but not the striatum, when making decisions. These results could be replicated in Experiment II with an independent sample of healthy participants. In Experiment III, the choice‐decoding accuracy in the vmPFC and dlPFC was lower in patients with addiction (smokers and participants with Internet gaming disorder) than in healthy participants, and decoding accuracy in the dlPFC was related to impulsivity in addicts. Taken together, our findings may provide neural evidence supporting the hypothesis that value evaluation and self‐control processes both guide the intertemporal choices, and might provide potential neural targets for the diagnosis and treatment of impulsivity‐related brain disorders.

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“…Therefore, it is understandable that participants evaluated this feedback/option to make the next decision (Gu et al, ). Numerous studies using non‐sequential tasks have proved that brain activations associated with options could predict participants’ decisions (e.g., Christopoulos, Tobler, Bossaerts, Dolan, & Schultz, ; Huang, Soon, Mullette‐Gillman, & Hsieh, ; Hunt et al, ; Knutson & Bossaerts, ; Leathers & Olson, ; Rushworth, Noonan, Boorman, Walton, & Behrens, ; Smith et al, ). Cohen and Ranganath () found a significant correlation between brain activity and value function in the occipital area during option evaluation.…”

Section: Discussionmentioning

confidence: 99%

Behavioral preference in sequential decision‐making and its association with anxiety

Zhang

2018

Human Brain Mapping

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In daily life, people often make consecutive decisions before the ultimate goal is reached (i.e., sequential decision-making). However, this kind of decision-making has been largely overlooked in the literature. The current study investigated whether behavioral preference would change during sequential decisions, and the neural processes underlying the potential changes. For this purpose, we revised the classic balloon analogue risk task and recorded the electroencephalograph (EEG) signals associated with each step of decision-making. Independent component analysis performed on EEG data revealed that four EEG components elicited by periodic feedback in the current step predicted participants' decisions (gamble vs. no gamble) in the next step. In order of time sequence, these components were: bilateral occipital alpha rhythm, bilateral frontal theta rhythm, middle frontal theta rhythm, and bilateral sensorimotor mu rhythm. According to the information flows between these EEG oscillations, we proposed a brain model that describes the temporal dynamics of sequential decision-making. Finally, we found that the tendency to gamble (as well as the power intensity of bilateral frontal theta rhythms) was sensitive to the individual level of trait anxiety in certain steps, which may help understand the role of emotion in decision-making.

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Pre-existing brain states predict risky choices

Cited by 27 publications

References 49 publications

Coding of Visual, Auditory, Rule, and Response Information in the Brain: 10 Years of Multivoxel Pattern Analysis

Coding of Visual, Auditory, Rule, and Response Information in the Brain: 10 Years of Multivoxel Pattern Analysis

Transforming brain signals related to value evaluation and self‐control into behavioral choices

Behavioral preference in sequential decision‐making and its association with anxiety

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