Dataset Information

Predicting free choices for abstract intentions.

ABSTRACT: Unconscious neural activity has been repeatedly shown to precede and potentially even influence subsequent free decisions. However, to date, such findings have been mostly restricted to simple motor choices, and despite considerable debate, there is no evidence that the outcome of more complex free decisions can be predicted from prior brain signals. Here, we show that the outcome of a free decision to either add or subtract numbers can already be decoded from neural activity in medial prefrontal and parietal cortex 4 s before the participant reports they are consciously making their choice. These choice-predictive signals co-occurred with the so-called default mode brain activity pattern that was still dominant at the time when the choice-predictive signals occurred. Our results suggest that unconscious preparation of free choices is not restricted to motor preparation. Instead, decisions at multiple scales of abstraction evolve from the dynamics of preceding brain activity.

SUBMITTER: Soon CS

PROVIDER: S-EPMC3625266 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature

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Publications

Predicting free choices for abstract intentions.

Soon Chun Siong CS He Anna Hanxi AH Bode Stefan S Haynes John-Dylan JD

Proceedings of the National Academy of Sciences of the United States of America 20130318 15

Unconscious neural activity has been repeatedly shown to precede and potentially even influence subsequent free decisions. However, to date, such findings have been mostly restricted to simple motor choices, and despite considerable debate, there is no evidence that the outcome of more complex free decisions can be predicted from prior brain signals. Here, we show that the outcome of a free decision to either add or subtract numbers can already be decoded from neural activity in medial prefronta ...[more]

PMID: 23509300

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Project description:Inferring intentions of others is one of the most intriguing issues in interpersonal interaction. Theories of embodied cognition and simulation suggest that this mechanism takes place through a direct and automatic matching process that occurs between an observed action and past actions. This process occurs via the reactivation of past self-related sensorimotor experiences within the inferior frontoparietal network (including the mirror neuron system, MNS). The working model is that the anticipatory representations of others' behaviors require internal predictive models of actions formed from pre-established, shared representations between the observer and the actor. This model suggests that observers should be better at predicting intentions performed by a familiar actor, rather than a stranger. However, little is known about the modulations of the intention brain network as a function of the familiarity between the observer and the actor. Here, we combined functional magnetic resonance imaging (fMRI) with a behavioral intention inference task, in which participants were asked to predict intentions from three types of actors: A familiar actor (their significant other), themselves (another familiar actor), and a non-familiar actor (a stranger). Our results showed that the participants were better at inferring intentions performed by familiar actors than non-familiar actors and that this better performance was associated with greater activation within and beyond the inferior frontoparietal network i.e., in brain areas related to familiarity (e.g., precuneus). In addition, and in line with Hebbian principles of neural modulations, the more the participants reported being cognitively close to their partner, the less the brain areas associated with action self-other comparison (e.g., inferior parietal lobule), attention (e.g., superior parietal lobule), recollection (hippocampus), and pair bond (ventral tegmental area, VTA) were recruited, suggesting that the more a shared mental representation has been pre-established, the more neurons show suppression in their response to the presentation of information to which they are sensitive. These results suggest that the relation of performance to the extent of neural activation during intention understanding may display differential relationships based on the cognitive domain, brain region, and the cognitive interdependence between the observer and the actor.

Project description:BACKGROUND:Studies have found that although there are high rates of depression among university students, their help-seeking practices are poor. It is important to identify students who are less likely to seek the necessary help, to encourage better help-seeking among them. This study, which was conducted among undergraduates in Sri Lanka, examined the associations between personal characteristics of the undergraduates and their intentions to seek help for depression. METHODS:This was a cross-sectional study in which 4461 undergraduates (Male: n = 1358, 30.4%, Female: n = 3099, 69.5%; Mean age = 22.18; SD = 1.47) indicated their intentions to seek help if personally affected by depression, which was described in a hypothetical vignette about a peer experiencing depression symptomatology. The predictors of the undergraduates' help-seeking intentions, including their sociodemographic characteristics, prior exposure to and recognition of the problem, and their stigma towards those with depression were examined using binary logistic regression analyses models. RESULTS:The undergraduates' ability to recognise the problem was one of the strongest predictors of their intentions to seek professional help. Those with higher levels of stigma were less likely to seek both professional and informal help. While females were less likely to consider professional help, they were more likely to consider the help of informal help-providers and to consider religious strategies. Medical undergraduates and those who had sought help for personal experiences of the problem were also more likely to consider informal help. However, all these associations resulted in small effect sizes, except for those between recognition of the problem and the undergraduates' intentions to seek professional help, where medium to very large effect sizes were observed in the case of some the associations examined. CONCLUSIONS:Improvement of problem-recognition may be a key strategy for improving help-seeking among these undergraduates. Reduction of stigma may also be associated with better depression-related help-seeking of undergraduates. Females and medical undergraduates need to be educated about the importance of seeking appropriate types of help, and their informal social networks must be educated about how best to help them.

Dataset Information

Predicting free choices for abstract intentions.

Publications

Predicting free choices for abstract intentions.

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