scholarly journals A brain network supporting social influences in human decision-making

2020 ◽  
Vol 6 (34) ◽  
pp. eabb4159
Author(s):  
Lei Zhang ◽  
Jan Gläscher
Keyword(s):  
Decision Making ◽  
Prediction Error ◽  
Brain Network ◽  
Anterior Cingulate ◽  
Functional Coupling ◽  
Uncertain Environments ◽  
Integrated Network ◽  
Temporoparietal Junction ◽  
Human Decision ◽  
The Right

Humans learn from their own trial-and-error experience and observing others. However, it remains unknown how brain circuits compute expected values when direct learning and social learning coexist in uncertain environments. Using a multiplayer reward learning paradigm with 185 participants (39 being scanned) in real time, we observed that individuals succumbed to the group when confronted with dissenting information but observing confirming information increased their confidence. Leveraging computational modeling and functional magnetic resonance imaging, we tracked direct valuation through experience and vicarious valuation through observation and their dissociable, but interacting neural representations in the ventromedial prefrontal cortex and the anterior cingulate cortex, respectively. Their functional coupling with the right temporoparietal junction representing instantaneous social information instantiated a hitherto uncharacterized social prediction error, rather than a reward prediction error, in the putamen. These findings suggest that an integrated network involving the brain’s reward hub and social hub supports social influence in human decision-making.

scholarly journals A brain network supporting social influences in human decision-making

2019 ◽  
Author(s):  
Lei Zhang ◽  
Jan P. Gläscher
Keyword(s):  
Decision Making ◽  
Prediction Error ◽  
Brain Network ◽  
Anterior Cingulate ◽  
Functional Coupling ◽  
Integrated Network ◽  
Temporoparietal Junction ◽  
Human Decision ◽  
Right Temporoparietal Junction ◽  
The Right

AbstractHumans learn from their own trial-and-error experience and from observing others. However, it remains unanswered how brain circuits compute expected values when direct learning and social learning coexist in an uncertain environment. Using a multi-player reward learning paradigm with 185 participants (39 being scanned) in real-time, we observed that individuals succumbed to the group when confronted with dissenting information, but increased their confidence when observing confirming information. Leveraging computational modeling and fMRI we tracked direct valuation through experience and vicarious valuation through observation, and their dissociable, but interacting neural representations in the ventromedial prefrontal cortex and the anterior cingulate cortex, respectively. Their functional coupling with the right temporoparietal junction representing instantaneous social information instantiated a hitherto uncharacterized social prediction error, rather than a reward prediction error, in the putamen. These findings suggest that an integrated network involving the brain’s reward hub and social hub supports social influence in human decision-making.

Brain reactivity to humorous films is affected by insomnia

SLEEP ◽  
2021 ◽  
Author(s):  
Ernesto Sanz-Arigita ◽  
Yannick Daviaux ◽  
Marc Joliot ◽  
Bixente Dilharreguy ◽  
Jean-Arthur Micoulaud-Franchi ◽  
...  
Keyword(s):  
Emotional Reactivity ◽  
Brain Activity ◽  
Brain Network ◽  
Anterior Cingulate ◽  
Neural Representation ◽  
Cingulate Gyrus ◽  
Anterior Cingulate Gyrus ◽  
Left Caudate ◽  
Neural Reactivity ◽  
The Right

Abstract Study objectives Emotional reactivity to negative stimuli has been investigated in insomnia, but little is known about emotional reactivity to positive stimuli and its neural representation. Methods We used 3T fMRI to determine neural reactivity during the presentation of standardized short, 10-40-s, humorous films in insomnia patients (n=20, 18 females, aged 27.7 +/- 8.6 years) and age-matched individuals without insomnia (n=20, 19 females, aged 26.7 +/- 7.0 years), and assessed humour ratings through a visual analogue scale (VAS). Seed-based functional connectivity was analysed for left and right amygdala networks: group-level mixed-effects analysis (FLAME; FSL) was used to compare amygdala connectivity maps between groups. Results fMRI seed-based analysis of the amygdala revealed stronger neural reactivity in insomnia patients than in controls in several brain network clusters within the reward brain network, without humour rating differences between groups (p = 0.6). For left amygdala connectivity, cluster maxima were in the left caudate (Z=3.88), left putamen (Z=3.79) and left anterior cingulate gyrus (Z=4.11), while for right amygdala connectivity, cluster maxima were in the left caudate (Z=4.05), right insula (Z=3.83) and left anterior cingulate gyrus (Z=4.29). Cluster maxima of the right amygdala network were correlated with hyperarousal scores in insomnia patients only. Conclusions Presentation of humorous films leads to increased brain activity in the neural reward network for insomnia patients compared to controls, related to hyperarousal features in insomnia patients, in the absence of humor rating group differences. These novel findings may benefit insomnia treatment interventions.

scholarly journals Exploring Cortical Attentional System by Using fMRI during a Continuous Perfomance Test

2010 ◽  
Vol 2010 ◽  
pp. 1-6 ◽  
Author(s):  
M. G. Tana ◽  
E. Montin ◽  
S. Cerutti ◽  
A. M. Bianchi
Keyword(s):  
Performance Test ◽  
Continuous Performance Test ◽  
Blood Oxygen Level Dependent ◽  
Brain Regions ◽  
Brain Network ◽  
Anterior Cingulate ◽  
Visual Object ◽  
Bold Response ◽  
Object Processing ◽  
The Right

Functional magnetic resonance imaging (fMRI) was performed in eight healthy subjects to identify the localization, magnitude, and volume extent of activation in brain regions that are involved in blood oxygen level-dependent (BOLD) response during the performance of Conners' Continuous Performance Test (CPT). An extensive brain network was activated during the task including frontal, temporal, and occipital cortical areas and left cerebellum. The more activated cluster in terms of volume extent and magnitude was located in the right anterior cingulate cortex (ACC). Analyzing the dynamic trend of the activation in the identified areas during the entire duration of the sustained attention test, we found a progressive decreasing of BOLD response probably due to a habituation effect without any deterioration of the performances. The observed brain network is consistent with existing models of visual object processing and attentional control and may serve as a basis for fMRI studies in clinical populations with neuropsychological deficits in Conners' CPT performance.

Artificial Intelligence Inroads Into HR

2022 ◽  
pp. 231-246
Author(s):  
Swati Bansal ◽  
Monica Agarwal ◽  
Deepak Bansal ◽  
Santhi Narayanan
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Human Resources ◽  
Generation Y ◽  
Industry 4.0 ◽  
Career Aspirations ◽  
Work Life ◽  
Human Decision ◽  
The Right ◽  
Talent Acquisition

Artificial intelligence is already here in all facets of work life. Its integration into human resources is a necessary process which has far-reaching benefits. It may have its challenges, but to survive in the current Industry 4.0 environment and prepare for the future Industry 5.0, organisations must penetrate AI into their HR systems. AI can benefit all the functions of HR, starting right from talent acquisition to onboarding and till off-boarding. The importance further increases, keeping in mind the needs and career aspirations of Generation Y and Z entering the workforce. Though employees have apprehensions of privacy and loss of jobs if implemented effectively, AI is the present and future. AI will not make people lose jobs; instead, it would require the HR people to upgrade their skills and spend their time in more strategic roles. In the end, it is the HR who will make the final decisions from the information that they get from the AI tools. A proper mix of human decision-making skills and AI would give organisations the right direction to move forward.

scholarly journals Algorithms as discrimination detectors

2020 ◽  
Vol 117 (48) ◽  
pp. 30096-30100 ◽  
Author(s):  
Jon Kleinberg ◽  
Jens Ludwig ◽  
Sendhil Mullainathan ◽  
Cass R. Sunstein
Keyword(s):  
Decision Making ◽  
Human Beings ◽  
Regulatory Systems ◽  
Human Decision ◽  
The Right

Preventing discrimination requires that we have means of detecting it, and this can be enormously difficult when human beings are making the underlying decisions. As applied today, algorithms can increase the risk of discrimination. But as we argue here, algorithms by their nature require a far greater level of specificity than is usually possible with human decision making, and this specificity makes it possible to probe aspects of the decision in additional ways. With the right changes to legal and regulatory systems, algorithms can thus potentially make it easier to detect—and hence to help prevent—discrimination.

scholarly journals Attentional Preparation for a Lateralized Visual Distractor: Behavioral and fMRI Evidence

2006 ◽  
Vol 18 (4) ◽  
pp. 522-538 ◽  
Author(s):  
Christian C. Ruff ◽  
Jon Driver
Keyword(s):  
Occipital Cortex ◽  
Brain Structures ◽  
Functional Coupling ◽  
Psychophysical Experiment ◽  
Temporoparietal Junction ◽  
Control Structures ◽  
Visual Distractor ◽  
Superior Parietal Cortex ◽  
The Right ◽  
The Impact

Attending to the location of an expected visual target can lead to anticipatory activations in spatiotopic occipital cortex, emerging before target onset. But less is known about how the brain may prepare for a distractor at a known location remote from the target. In a psychophysical experiment, we found that trial-to-trial advance knowledge about the presence of a distractor in the target-opposite hemifield significantly reduced its behavioral cost. In a subsequent functional magnetic resonance imaging experiment with similar task and stimuli, we found anticipatory activations in the occipital cortex contralateral to the expected distractor, but no additional target modulation, when participants were given advance information about a distractor's subsequent presence and location. Several attention-related control structures (frontal eye fields and superior parietal cortex) were active during attentional preparation for all trials, whereas the left superior prefrontal and right angular gyri were additionally activated when a distractor was anticipated. The right temporoparietal junction showed stronger functional coupling with occipital regions during preparation for trials with an isolated target than for trials with a distractor expected. These results show that anticipation of a visual distractor at a known location, remote from the target, can lead to (1) a reduction in the behavioral cost of that distractor, (2) preparatory modulation of the occipital cortex contralateral to the location of the expected distractor, and (3) anticipatory activation of distinct parietal and frontal brain structures. These findings indicate that specific components of preparatory visual attention may be devoted to minimizing the impact of distractors, not just to enhancements of target processing.

scholarly journals Neural substrates for moral judgments of psychological versus physical harm

2017 ◽  
Author(s):  
Lily Tsoi ◽  
James A Dungan ◽  
Alek Chakroff ◽  
Liane Young
Keyword(s):  
Theory Of Mind ◽  
Psychological Impact ◽  
Brain Regions ◽  
Autism Spectrum ◽  
Moral Judgments ◽  
Anterior Cingulate ◽  
Adults With Autism ◽  
Temporoparietal Junction ◽  
The Right ◽  
Multivariate Pattern

Although harm primarily elicits thoughts of physical injuries, harm can also take the form of negative psychological impact. Using functional magnetic resonance imaging (fMRI), we examined the extent to which moral judgments of physical and psychological harms are processed similarly, focusing on brain regions implicated in mental state reasoning or theory of mind, a key cognitive process for moral judgment. Univariate analyses reveal similar levels of theory of mind processing for psychological and physical harms, though multivariate pattern analyses (MVPA) reveal sensitivity to the psychological/physical distinction in two regions implicated in theory of mind: the right temporoparietal junction and the precuneus. Moreover, while there were no differences in neurotypical adults and adults with autism spectrum disorder with regard to neural activity related to theory of mind, there was a group difference in the recruitment of the anterior cingulate cortex for psychological versus physical harms. Altogether, these results reveal sensitivity within regions implicated in theory of mind to the physical / psychological distinction as well as neural processes that capture clinically relevant differences in evaluations of psychological harms versus physical harms.

scholarly journals Dopaminergic modulation of the exploration/exploitation trade-off in human decision-making

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Karima Chakroun ◽  
David Mathar ◽  
Antonius Wiehler ◽  
Florian Ganzer ◽  
Jan Peters
Keyword(s):  
Decision Making ◽  
Bayesian Learning ◽  
D2 Receptor ◽  
Anterior Cingulate ◽  
Pharmacological Intervention ◽  
Dorsal Anterior Cingulate Cortex ◽  
Neural Representations ◽  
Human Decision ◽  
Within Subjects ◽  
Exploration Exploitation

Involvement of dopamine in regulating exploration during decision-making has long been hypothesized, but direct causal evidence in humans is still lacking. Here, we use a combination of computational modeling, pharmacological intervention and functional magnetic resonance imaging to address this issue. Thirty-one healthy male participants performed a restless four-armed bandit task in a within-subjects design under three drug conditions: 150 mg of the dopamine precursor L-dopa, 2 mg of the D2 receptor antagonist haloperidol, and placebo. Choices were best explained by an extension of an established Bayesian learning model accounting for perseveration, directed exploration and random exploration. Modeling revealed attenuated directed exploration under L-dopa, while neural signatures of exploration, exploitation and prediction error were unaffected. Instead, L-dopa attenuated neural representations of overall uncertainty in insula and dorsal anterior cingulate cortex. Our results highlight the computational role of these regions in exploration and suggest that dopamine modulates how this circuit tracks accumulating uncertainty during decision-making.

scholarly journals A Meta-analysis of Structural and Functional Brain Abnormalities in Early-Onset Schizophrenia

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Vasileios Ioakeimidis ◽  
Corinna Haenschel ◽  
Kielan Yarrow ◽  
Marinos Kyriakopoulos ◽  
Danai Dima
Keyword(s):  
Functional Mri ◽  
Early Onset ◽  
Meta Analysis ◽  
Gray Matter Volume ◽  
Anterior Cingulate ◽  
Salience Network ◽  
Early Onset Schizophrenia ◽  
Mri Findings ◽  
Temporoparietal Junction ◽  
The Right

Abstract Early-onset schizophrenia (EOS) patients demonstrate brain changes that are similar to severe cases of adult-onset schizophrenia. Neuroimaging research in EOS is limited due to the rarity of the disorder. The present meta-analysis aims to consolidate MRI and functional MRI findings in EOS. Seven voxel-based morphometry (VBM) and 8 functional MRI studies met the inclusion criteria, reporting whole-brain analyses of EOS vs healthy controls. Activation likelihood estimation (ALE) was conducted to identify aberrant anatomical or functional clusters across the included studies. Separate ALE analyses were performed, first for all task-dependent studies (Cognition ALE) and then only for working memory ones (WM ALE). The VBM ALE revealed no significant clusters for gray matter volume reductions in EOS. Significant hypoactivations peaking in the right anterior cingulate cortex (rACC) and the right temporoparietal junction (rTPJ) were detected in the Cognition ALE. In the WM ALE, consistent hypoactivations were found in the left precuneus (lPreC), the right inferior parietal lobule (rIPL) and the rTPJ. These hypoactivated areas show strong associations with language, memory, attention, spatial, and social cognition. The functional co-activated networks of each suprathreshold ALE cluster, identified using the BrainMap database, revealed a core co-activation network with similar topography to the salience network. Our results add support to posterior parietal, ACC and rTPJ dysfunction in EOS, areas implicated in the cognitive impairments characterizing EOS. The salience network lies at the core of these cognitive processes, co-activating with the hypoactivating regions, and thus highlighting the importance of salience dysfunction in EOS.

scholarly journals An Exploratory Study on Resting-State Functional Connectivity in Individuals with Disorganized Attachment: Evidence for Key Regions in Amygdala and Hippocampus

2021 ◽  
Vol 11 (11) ◽  
pp. 1539
Author(s):  
Gianluca Cruciani ◽  
Maddalena Boccia ◽  
Vittorio Lingiardi ◽  
Guido Giovanardi ◽  
Pietro Zingaretti ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
Middle Temporal Gyrus ◽  
Functional Coupling ◽  
Brain Abnormalities ◽  
Resting State Functional Connectivity ◽  
Posterior Portion ◽  
The Right

Studies comparing organized (O) and unresolved/disorganized (UD) attachment have consistently shown structural and functional brain abnormalities, although whether and how attachment patterns may affect resting state functional connectivity (RSFC) is still little characterized. Here, we investigated RSFC of temporal and limbic regions of interest for UD attachment. Participants’ attachment was classified via the Adult Attachment Interview, and all participants underwent clinical assessment. Functional magnetic resonance imaging data were collected from 11 UD individuals and seven matched O participants during rest. A seed-to-voxel analysis was performed, including the anterior and the posterior cingulate cortex, the bilateral insula, amygdala and hippocampus as seed regions. No group differences in the clinical scales emerged. Compared to O, the UD group showed lower RSFC between the left amygdala and the left cerebellum (lobules VIII), and lower functional coupling between the right hippocampus and the posterior portion of the right middle temporal gyrus. Moreover, UD participants showed higher RSFC between the right amygdala and the anterior cingulate cortex. Our findings suggest RSFC alterations in regions associated with encoding of salient events, emotion processing, memories retrieval and self-referential processing in UD participants, highlighting the potential role of attachment experiences in shaping brain abnormalities also in non-clinical UD individuals.

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