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Emotions displayed by others are pivotal ingredients of the decisions we make in social contexts. However, most of the research to date has focused on the subjective emotion of the decider rather than on the emotional expressions of the partners in the interaction. The present investigation was designed to explore how happy and angry facial expressions modulate cooperative responses in multi-round Trust Games. Our results show that happy partners generate higher levels of trust than angry partners even after repeated experience in a context in which emotional displays are not predictive of the partners’ cooperation rates. This effect disappears once the social meaning of emotional displays is removed from the game. An additional study shows that participants are able to learn specific associations between discrete emotions and positive or negative cooperative tendencies, although they need more evidence when the associations counteract prior expectations. Overall, our results stress the reliability of discrete emotions as cues in interpersonal interactions and the resilience of the effect of these positive and negative cues in contexts in which they lack real predictive power.

Evidence about whether reflective thinking may be induced and whether it affects utilitarian choices is inconclusive. Research suggests that answering items correctly in the Cognitive Reflection Te...

Objetivo Evaluar la efectividad de tres cepas de Bradyrhizobium en el desarrollo morfoagronómico de Glicine max L, cultivar Incasoy 27, en el municipio Puerto Padre. Materiales y Métodos Se desarrolló un estudio en condiciones de campo, en un suelo Fersialítico Pardo Rojizo del municipio Puerto Padre, Las Tunas, Cuba. Se aplicó un diseño de bloques al azar con cinco tratamientos (control absoluto, fertilización con NPK y las cepas de Bradyrhizobium, ICA 8001, USDA 110 y GIE 109) y cuatro réplicas. La distancia entre réplicas fue de 1 m y la semilla tenía 98 % de germinación. Durante el ciclo del cultivo, se evaluó el número de vainas por planta, el número de granos por vaina, el peso de 100 granos, el rendimiento en t ha-1 y se realizó una valoración económica. Resultados El menor número de vainas por planta se obtuvo en el control absoluto, sin diferir del tratamiento con NPK. A su vez, ambos difirieron estadísticamente (p > 0,05) de los tratamientos con Bradyrhizobium. También el número de granos por vainas fue mayor en los tratamientos inoculados, que difirieron significativamente del control. El mayor rendimiento de granos se obtuvo en las plantas inoculadas, con valores entre 1,06 y 1,23 t ha-1. Conclusiones La aplicación de cepas de Bradyrhizobium influyó positivamente en los indicadores morfoagronómicos del cultivo, lo que permite disminuir el uso de los fertilizantes minerales.

This work was supported by the Spanish Ministry of Science and Innovation (PID2019-111187GB-I00 to M.R., and IJC2019-040208-I to C.G.G) , the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska Curie (Ref. 835767, to C.G.G.) , and the Spanish Ministry of Education, Culture and Sports (FPU17/01627 to A.S.) . The open access charge was funded by the University of Granada and the CBUA., Verbal instructions allow fast and optimal implementation of novel behaviors. Previous research has shown that different control-related variables structure neural activity in frontoparietal regions during the encoding of novel instructed tasks. However, it is uncertain whether different task goals modulate the organizing effect of these variables. In this study, we investigated whether the neural encoding of three task-relevant variables (dimension integration, response set complexity and target category) is modulated by implementation and memorization demands. To do so, we combined functional Magnetic Resonance Imaging (fMRI), an instruction-following paradigm and multivariate analyses. We addressed how and where distributed activity patterns encoded the instructions' variables and the impact of the implementation and memorization demands on the fidelity of these representations. We further explored the nature of the neural code underpinning this process. Our results reveal, first, that the content of to-be-implemented and to-bememorized instructions is represented in overlapping brain regions, flexibly using a common neural code across tasks. Importantly, they also suggest that preparing to implement the instructions increases the decodability of task-relevant information in frontoparietal areas, in comparison with memorization demands. Overall, our work emphasizes both similarities and differences in task coding under the two contextual demands. These findings qualify the previous understanding of novel instruction processing, suggesting that representing task attributes in a generalizable code, together with the increase in encoding fidelity induced by the implementation goals, could be key mechanisms for proactive control in novel scenarios., Spanish Government PID2019-111187GB-I00 IJC2019-040208-I, European Commission 835767, Spanish Government FPU17/01627, University of Granada

Background. The productive variability of the forage is determined by the type of soil and the cultivation system. The use of silvopastoral systems represents an alternative because they can increase forage production and quality. Objective. To evaluate the production, the morphological components and the nutritional quality of the biomass of Cynodon plectostachyus (star grass) alone or in association with Leucaena leucocephala (huaxin). Methodology. The study was carried out in Tizimin, Yucatan, Mexico. Plots of C. plectostachyus were established in alleys croping of L. leucocephala and in monoculture, in hyperskeletal Luvisols and Leptosols soils. A 2 X 2 factorial design with five repetitions per treatment was used. The biomass production, the forage components and the content of crude protein and neutral detergent fiber were evaluated for one year. Results. Forage production, leaf and forage quality did not change according to the cultivation system (p≥0.05). No effect is believed due to the type of soil (p≥0.05). The interaction of the cultivation system with the type of soil increased the NDF content of C. plectostachyus (p≤0.05). Implications. The association of C. plectostachyus and L. leucocephala could increase the availability of structural carbohydrates for ruminant nutrition. Likewise, it is essential to consider long-term evaluations that allow to know the improvements in the crude protein content and the biomass production of the grasses in association under silvopastoral systems. Conclusions. The association of C. plectostachyus with L. leucocephala in Leptosol soil increases the availability of structural carbohydrates by increasing the stem and dead tissue that can be incorporated as organic matter in the soil.

Recent research reveals that when faced with alternative lines of action, humans tend to choose the less cognitively demanding one, suggesting that cognitive control is intrinsically registered as costly. This idea is further supported by studies showing that the exertion of cognitive control evokes negative affective states. Despite extensive evidence for mood-induced modulations on control abilities, the impact of affective states on the avoidance of cognitive demand is still unknown. Across two well-powered experiments, we tested the hypothesis that negative affective states would increase the avoidance of cognitively demanding tasks. Contrary to our expectations, induced affective states did not modulate the avoidance of demand, despite having an effect on task performance and subjective experience. Altogether, our results indicate that there are limits to the effect of affective signals on cognitive control and that such interaction might depend on specific affective and control settings.

Since emotions and regulatory control are relevant for decision-making, their circadian fluctuation should influence the outcome of such decisions, but this question has been rarely addressed. A review of the literature suggests that the evidence regarding circadian synchrony effects (better performance at optimal vs. non-optimal times of day according to chronotype) on decision-making is mixed, likely due to the use of different approaches to estimate chronotype. The current experiment studied economic decision-making as a function of both chronotype and the time of day when decisions are made. The influence of chronotype (Morning-type: N = 28 vs. Evening-type: N = 30) and time of day (8 am vs. 10 pm) on decision-making was measured by the acceptance rate of unfair and fair offers in the Ultimatum Game, and the event-related potentials time-locked to such offers. Subjective affect (PANAS), and appraisal of emotional images (IAPS) were also measured. Chronotype was estimated through questionnaires (MEQ, rMEQ, MCTQ) and the circadian rhythm of wrist temperature. Synchrony effects were found for both wrist temperature and subjective affect, but not for behavioral performance. Morning-types showed earlier phases of circadian rhythms in temperature, reported better sleep quality, more positive affective balance, accepted more unfair offers, and their frontal P200 potential was attenuated as compared to Evening-types in the Ultimatum Game. Acceptance rate of unfair offers correlated with the chronotype measured by questionnaires (positive correlation with rMEQ and MEQ scores, and negative correlation with Midsleep time in workdays -MSWsc from MCTQ) but not with midsleep time estimated through wrist temperature. Finally, participants who accepted more unfair offers later judged positive IAPS stimuli as more pleasant. We did not observe a synchrony effect in the Ultimatum Game, but morningness was related to rational decision-making as indexed by increased acceptance of unfair offers. Since morning-types show higher emotional regulation and positive mood than evening-types, it is possible that unfair offers did not elicit negative emotions as intense in morning-types as in evening-types, making it easier for them to accept.Abbreviations: ACC: anterior cingulate cortex; ANOVA: analysis of variance; BART: Balloon Analogue Risk Task; DLPFC: dorsolateral prefrontal cortex; EEG: electroencephalography; IAPS: International Affective Picture System; ICA: Independent component analysis; KSS: Karolinska Sleepiness Scale; LPP: Late Positive Potential; M: mean; MCTQ: Munich Chronotype Questionnaire; MEQ: Morningness Eveningness Questionnaire; MFN: Medial Frontal Negativity; MSWsc: midsleep time for working days corrected for sleep debt; MSFsc: midsleep time for free days corrected for sleep debt; N: number of participants; PANAS: Positive and Negative Affect Schedule; PSQI: Pittsburgh Sleep Quality Index; PVT: Psychomotor Vigilance Task; rMEQ: reduced Morningness Eveningness Questionnaire; RNA: Ribonucleic acid; RT: reaction time; SAM: Self-Assessment Manikin; SD: standard deviation; UG: Ultimatum Game.

Recent multivariate analyses of brain data have boosted our understanding of the organizational principles that shape neural coding. However, most of this progress has focused on perceptual visual regions (Connolly et al., 2012), whereas far less is known about the organization of more abstract, action-oriented representations. In this study, we focused on humans’ remarkable ability to turn novel instructions into actions. While previous research shows that instruction encoding is tightly linked to proactive activations in fronto-parietal brain regions, little is known about the structure that orchestrates such anticipatory representation. We collected fMRI data while participants (both males and females) followed novel complex verbal rules that varied across control-related variables (integrating within/across stimuli dimensions, response complexity, target category) and reward expectations. Using Representational Similarity Analysis (Kriegeskorte et al., 2008) we explored where in the brain these variables explained the organization of novel task encoding, and whether motivation modulated these representational spaces. Instruction representations in the lateral prefrontal cortex were structured by the three control-related variables, while intraparietal sulcus encoded response complexity and the fusiform gyrus and precuneus organized its activity according to the relevant stimulus category. Reward exerted a general effect, increasing the representational similarity among different instructions, which was robustly correlated with behavioral improvements. Overall, our results highlight the flexibility of proactive task encoding, governed by distinct representational organizations in specific brain regions. They also stress the variability of motivation-control interactions, which appear to be highly dependent on task attributes such as complexity or novelty.Significance StatementIn comparison with other primates, humans display a remarkable success in novel task contexts thanks to our ability to transform instructions into effective actions. This skill is associated with proactive task-set reconfigurations in fronto-parietal cortices. It remains yet unknown, however, how the brain encodes in anticipation the flexible, rich repertoire of novel tasks that we can achieve. Here we explored cognitive control and motivation-related variables that might orchestrate the representational space for novel instructions. Our results showed that different dimensions become relevant for task prospective encoding depending on the brain region, and that the lateral prefrontal cortex simultaneously organized task representations following different control-related variables. Motivation exerted a general modulation upon this process, diminishing rather than increasing distances among instruction representations.

This research was supported by the Spanish Ministry of Sci- ence and Innovation under the PID2019–111187GB-I00 grant, by the MCIN/AEI/10.13039/50110 0 011033/ and FEDER “Una manera de hacer Europa’’ under the RTI2018-098913-B100 project, by the Consejería de Economía, Innovación, Ciencia y Empleo (Junta de Andalucía) and FEDER under CV20-45250, A-TIC-080-UGR18, B- TIC-586-UGR20 and P20-00525 projects. The first author of this work is supported by a scholarship from the Spanish Ministry of Science and Innovation (BES-2017–079769). Funding for open ac- cess charge: Universidad de Granada / CBUA. The sample EEG dataset was extracted from an original experiment previously ap- proved by the Ethics Committee of the University of Granada., Background and Objective: The study of brain function has recently expanded from classical univariate to multivariate analyses. These multivariate, machine learning-based algorithms afford neuroscientists extracting more detailed and richer information from the data. However, the implementation of these procedures is usually challenging, especially for researchers with no coding experience. To address this problem, we have developed MVPAlab, a MATLAB-based, flexible decoding toolbox for multidimensional electroencephalography and magnetoencephalography data. Methods: The MVPAlab Toolbox implements several machine learning algorithms to compute multivariate pattern analyses, cross-classification, temporal generalization matrices and feature and frequency contri- bution analyses. It also provides access to an extensive set of preprocessing routines for, among others, data normalization, data smoothing, dimensionality reduction and supertrial generation. To draw statisti- cal inferences at the group level, MVPAlab includes a non-parametric cluster-based permutation approach. Results: A sample electroencephalography dataset was compiled to test all the MVPAlab main function- alities. Significant clusters (p < 0.01) were found for the proposed decoding analyses and different config- urations, proving the software capability for discriminating between different experimental conditions. Conclusions: This toolbox has been designed to include an easy-to-use and intuitive graphic user interface and data representation software, which makes MVPAlab a very convenient tool for users with few or no previous coding experience. In addition, MVPAlab is not for beginners only, as it implements several high and low-level routines allowing more experienced users to design their own projects in a highly flexible manner., Spanish Government PID2019-111187GB-I00 BES-2017-079769, MCIN/AEI, FEDER "Una manera de hacer Europa'' RTI2018-098913-B100, Junta de Andalucía, European Commission CV20-45250 A-TIC-080-UGR18 BTIC-586-UGR20 P20-00525, Universidad de Granada/CBUA

Objetivo: Evaluar la efectividad de la aplicación de tres cepas de hongos micorrízicos arbusculares en el rendimiento de Glycine max L., cultivar Incasoy 27, en un suelo fersialítico pardo rojizo, típico de la provincia Las Tunas. Materiales y Métodos: Se desarrolló la investigación en condiciones de campo, de septiembre a diciembre de 2018. Para el montaje del experimento se aplicó un diseño de bloques al azar, con cinco tratamientos y cuatro réplicas. La distancia entre réplicas fue de 1 m. La semilla utilizada provenía del INCA, con 98 % de germinación. Se establecieron cinco tratamientos: un control absoluto, fertilización con NPK e inoculación con cepas de micorrizas INCAM4, INCAM11 e INCAM2. Durante el ciclo del cultivo se evaluaron las variables número de vainas por planta, número de granos por planta, peso de 100 granos, rendimiento en t ha-1. Resultados: Se observó que el menor número de vainas por planta correspondió al tratamiento control, que difirió del resto (p < 0,05). Los mayores valores se registraron en los tratamientos inoculados, que no difirieron entre sí (51,4; 60,0 y 62,2 para INCAM 4, INCAM 11 y INCAM 2, respectivamente). En cuanto al rendimiento, los mejores resultados se obtuvieron en el tratamiento fertilizado con NPK y la inoculación con micorrizas, con valores de 2,0; 2,5; 2,7 y 2,6 para NPK, INCAM 4, INCAM 11 y INCAM 2, respectivamente. Todos los tratamientos fueron económicamente rentables. Se destacaron los inoculados. Conclusiones: La aplicación de cepas de hongos micorrizógenos arbusculares influyó positivamente en los indicadores morfoagronómicos evaluados en G. max, lo que permite disminuir el uso de los fertilizantes minerales en este cultivo.

Las nuevas formas de trabajo surgidas a raíz de la economía colaborativa, o, mejor dicho, a raíz de movimientos derivados de la misma han reavivado el clásico debate sobre las fronteras entre el trabajador por cuenta ajena y por cuenta propia. Desde el ámbito laboral es necesario cuestionar si esta nueva realidad es lo suficientemente rupturista como para escapar de los márgenes actuales del Derecho del Trabajo, o si, por el contrario, es un nuevo intento -entre otros muchos más- de «huida» fraudulenta de esta disciplina. Es considerable la cantidad de resoluciones administrativas y judiciales sobre la naturaleza jurídica de estas relaciones contractuales, incluyendo la reciente sentencia del Tribunal Supremo. Las empresas de reparto urbano han protagonizado preponderantemente estos conflictos. El análisis de dichos pronunciamientos constituye el núcleo de este trabajo, New forms of employment issued from sharing economy, or even better, issued from movements based on sharing economy have brought the classical debate about the difference between employees and self-employed workers back. From a labour point of view, it is necessary to wonder whether this new reality is rupturist enough to avoid labour regulations, or, whether, on the contrary, may be a fraudulent attempt, among many others, to escaped from the Labour Law. The amount of administrative and judicial resolutions about the legal status of this new contractual relations is now starting to become significant, including the recent sentence of the Supreme Court. Urban delivery companies have led most of these conflicts. The analysis of these resolutions would be the core of this research

A central challenge in cognitive neuroscience is to understand the neural mechanisms that underlie the capacity to control our behavior according to internal goals. Flanker tasks, which require responding to stimuli surrounded by distracters that trigger incompatible action tendencies, are frequently used to measure this conflict. Even though the interference generated in these situations has been broadly studied, multivariate analysis techniques can shed new light into the underlying neural mechanisms. The current study is an initial approximation to adapt an interference Flanker paradigm embedded in a Demand-Selection Task (DST) to a format that allows measuring concurrent high-density electroencephalography (EEG). We used multivariate pattern analysis (MVPA) to decode conflict-related electrophysiological markers associated with congruent or incongruent target events in a time-frequency resolved way. Our results replicate findings obtained with other analysis approaches and offer new information regarding the dynamics of the underlying mechanisms, which show signs of reinstantiation. Our findings, some of which could not have been obtained with classic analytical strategies, open novel avenues of research.

The success of humans in novel environments is partially supported by our ability to implement new task procedures via instructions. This complex skill has been associated with the activity of control-related brain areas. Current models link fronto-parietal and a cingulo-opercular networks with transient and sustained modes of cognitive control, based on observations during repetitive task settings or rest (Dosenbach et al. 2008). The current study extends this dual model to novel instructed tasks. We employed a mixed design and an instruction-following task to extract phasic and tonic brain signals associated with the encoding and implementation of novel verbal rules. We also performed a representation similarity analysis to capture consistency in task-set encoding within trial epochs. Our findings show that both networks are involved while following novel instructions: transiently, during the implementation of the instruction, and in a sustained fashion, across novel trials blocks. Moreover, the multivariate results showed that task representations in the cingulo-opercular network were more stable than in the fronto-parietal one. Our data extend the dual model of cognitive control to novel demanding situations, highlighting the high flexibility of control-related regions in adopting different temporal profiles.

The use of Multi-Voxel Pattern Analysis (MVPA) has increased considerably in recent functional magnetic resonance imaging studies. A crucial step consists in the choice of methods for the estimation of responses and their statistical significance. However, a systematic comparison of these and their adequacy to predominant experimental design is missing.In the current study, we compared three pattern estimation methods: Least-Squares Unitary (LSU), based on run-wise estimation, Least-Squares All (LSA) and Least-Squares Separate (LSS), which rely on trial-wise estimation. We compared the efficiency of these methods in an experiment where sustained activity had to be isolated from zero-duration events as well as in a block-design approach and in an event-related design. We evaluated the sensitivity of the t-test in comparison with two non-parametric methods based on permutation testing: one proposed in Stelzer et al. (2013), equivalent to performing a permutation in each voxel separately and the Threshold-Free Cluster Enhancement (Smith and Nichols, 2009).LSS resulted the most accurate approach to address the large overlap of signal among close events in the event-related designs. We found a larger sensitivity of Stelzer’s method in all settings, especially in the event-related designs, where voxels close to surpass the statistical threshold with the other approaches were now marked as informative regions.Our results provide evidence that LSS is the most accurate approach for unmixing events with different duration and large overlap of signal, consistent with previous studies showing better handling of collinearity in LSS. Moreover, Stelzer’s potentiates this better estimation with its larger sensitivity.

Understanding the neural basis of cognitive control is a central issue in cognitive neuroscience, given its core importance for the flexibility that characterizes human behaviour. This review integrates the main findings in the field, underscoring the role of fronto-parietal regions in both proactive (representing tasks in anticipation to prepare the system for action) and reactive (detecting and resolving conflicts in processing) control. In addition, we review the dynamics of interaction between these areas and other brain regions in the range of slow frequencies. Finally, we highlight central questions in the field that have yet to be answered.

Recent research reveals that when faced with alternative lines of action, humans tend to choose the less cognitively demanding one, suggesting that cognitive control is intrinsically registered as costly. This idea is further supported by studies showing that the exertion of cognitive control evokes negative affective states. Despite extensive evidence for mood-induced modulations on control abilities, the impact of affective states on the avoidance of cognitive demand is still unknown. Across two well-powered experiments, we tested the hypothesis that negative affective states would increase the avoidance of cognitively demanding tasks. Contrary to our expectations, induced affective states did not modulate the avoidance of demand, despite having an effect on task performance and subjective experience. Altogether, our results indicate that there are limits to the effect of affective signals on cognitive control and that such interaction might depend on specific affective and control settings.

A central challenge in cognitive neuroscience is to understand the neural mechanisms that underlie the capacity to control our behavior according to internal goals. Flanker tasks, which require responding to stimuli surrounded by distracters that trigger incompatible action tendencies, are frequently used to measure this conflict. Even though the interference generated in these situations has been broadly studied, multivariate analysis techniques can shed new light into the underlying neural mechanisms. The current study is an initial approximation to adapt an interference Flanker paradigm embedded in a Demand-Selection Task to a format that allows measuring concurrent high-density electroencephalography. We used multivariate pattern analysis (MVPA) to decode conflictrelated neural processes associated with congruent or incongruent target events in a time-frequency resolved way. Our results replicate findings obtained with other analysis approaches and offer new information regarding the dynamics of the underlying mechanisms, which show signs of reinstantiation. Our findings, some of which could not had been obtained with classic analytical strategies, open novel avenues of research.

Materials (audio, slides and text) from a conference presented at the 30th Conference of the International Society for Chronobiology, held in Warsaw from 2 to 5 July 2019., This work was supported by the Spanish Ministerio de Economía y Competitividad (PLAN NACIONAL de I+D+i, grant number: PSI2014-58041-P. www.mineco.gob.es) to AC and by the Junta de Andalucía (SEJ-3054, http://www.juntadeandalucia.es) to AC. and MR.

Engaging in a demanding activity while holding in mind another task to be performed in the near future requires the maintenance of information about both the currently-active task set and the intended one. However, little is known about how the human brain implements such action plans. While some previous studies have examined the neural representation of current task sets and others have investigated delayed intentions, to date none has examined the representation of current and intended task sets within a single experimental paradigm. In this fMRI study, we examined the neural representation of current and intended task sets, employing sequential classification tasks on human faces. Multivariate decoding analyses showed that current task sets were represented in the orbitofrontal cortex (OFC) and fusiform gyrus (FG), while intended tasks could be decoded from lateral prefrontal cortex (lPFC). Importantly, a ventromedial region in PFC/OFC contained information about both current and delayed tasks, although cross-classification between the two types of information was not possible. These results help delineate the neural representations of current and intended task sets, and highlight the importance of ventromedial PFC/OFC for maintaining task-relevant information regardless of when it is needed., This work was supported by the Spanish Ministry of Science and Innovation (PSI2016-78236-P to M.R.) and the Spanish Ministry of Education, Culture and Sports (FPU2014/04272 to P.D.G.).

Purpose This study describes a new methodology—the cold pressor gel test (CPGT)—for delivering an accessible experimental pain stimulus, which is reproducible and safe for functional MRI (fMRI). Methods The cold pressor test was modified to put safety precautions into the CPGT. The material used is cool gelled water with a thickening product, which provides a stable temperature at 0.2 °C. Thirteen women with chronic pelvic pain were scanned using a 3 Tesla (T) MR scanner equipped with a 12-channel head coil. Changes in BOLD activation during cold-induced pain were estimated. Results The results have demonstrated that gel substances maintain a stable temperature during the experiment, resulting in an insignificant variation. Before the experiment, the mean temperature was 0.2 ± 0.11 °C, and at the end it was 0.7 ± 0.15 °C. The time taken by participants to reach the maximum level of pain during the CPGT was 56.92 ± 11.09 s. The pain intensity during the experiments was 6.92 ± 1.66 on the visual analog scale (VAS). The fMRI analysis showed significant BOLD activation in the main brain regions involved in chronic pain processing. Conclusion The CPGT is an experimental tool to deliver pain that is easily reproducible, particularly in brain functional imaging studies. Moreover, it is cost-effective, safe, and compatible with fMRI. Magn Reson Med, 2016. © 2016 International Society for Magnetic Resonance in Medicine.

Prior personal information is highly relevant during social interactions. Such knowledge aids in the prediction of others, and it affects choices even when it is unrelated to actual behaviour. In this investigation, we aimed to study the neural representation of positive and negative personal expectations, how these impact subsequent choices, and the effect of mismatches between expectations and encountered behaviour. We employed functional Magnetic Resonance Imaging in combination with a version of the Ultimatum Game (UG) where participants were provided with information about their partners’ moral traits previous to their fair or unfair offers. Univariate and multivariate analyses revealed the implication of the supplementary motor area (SMA) and inferior frontal gyrus (IFG) in the representation of expectations about the partners in the game. Further, these regions also represented the valence of expectations, together with the ventromedial prefrontal cortex (vmPFC). Importantly, the performance of multivariate classifiers in these clusters correlated with a behavioural choice bias to accept more offers following positive descriptions, highlighting the impact of the valence on the expectations on participants’ economic decisions. Altogether, our results suggest that expectations based on social information guide future interpersonal decisions and that the neural representation of such expectations in the vmPFC is related to their influence on behaviour.

Contains fulltext : 201939.pdf (Publisher’s version ) (Closed access) Humans and other animals make decisions in order to satisfy their goals. However, it remains unknown how neural circuits compute which of multiple possible goals should be pursued (e.g., when balancing hunger and thirst) and how to combine these signals with estimates of available reward alternatives. Here, humans undergoing fMRI accumulated two distinct assets over a sequence of trials. Financial outcomes depended on the minimum cumulate of either asset, creating a need to maintain "value equilibrium" by redressing any imbalance among the assets. Blood-oxygen-level-dependent (BOLD) signals in the rostral anterior cingulate cortex (rACC) tracked the level of imbalance among goals, whereas the ventromedial prefrontal cortex (vmPFC) signaled the level of redress incurred by a choice rather than the overall amount received. These results suggest that a network of medial frontal brain regions compute a value signal that maintains value equilibrium among internal goals. 15 p.

Humans and other animals make decisions in order to satisfy their goals. However, it remains unknown how neural circuits compute which of multiple possible goals should be pursued (e.g. when balancing hunger and thirst) and combine these signals with estimates of available reward alternatives. Here, humans undergoing functional magnetic resonance imaging (fMRI) accumulated two distinct assets over a sequence of trials. Financial outcomes depended on the minimum cumulate of either asset, creating a need to maintain “value homeostasis” by redressing any imbalance among the assets. BOLD signals in the dorsal anterior cingulate cortex (dACC) tracked the level of homeostatic imbalance among goals, whereas the ventromedial prefrontal cortex (vmPFC) signalled the level of homeostatic redress incurred by a choice, rather than the overall amount received. These results suggest that a network of medial frontal brain regions compute a value signal that maintains homeostatic balance among internal goals.

Recent studies highlight the influence of non-conscious information on task-set selection. However, it has not yet been tested whether this influence depends on conscious settings, as some theoretical models propose. In a series of three experiments, we explored whether non-conscious abstract cues could bias choices between a semantic and a perceptual task. In Experiment 1, we observed a non-conscious influence on task-set selection even when perceptual priming and cue-target compound confounds did not apply. Experiments 2 and 3 showed that, under restrictive conditions of visibility, cues only biased task selection when the conscious task-setting mindset led participants to search for information during the time period of the cue. However, this conscious strategy did not modulate the effect found when a subjective measure of consciousness was used. Altogether, our results show that the configuration of the conscious mindset determines the potential bias of non-conscious information on task-set selection.

Previous research suggests that utilitarian decisions to moral dilemmas often stem from analytic, controlled cognitive processes. Furthermore, processing disfluency can trigger analytic thinking and improve performance on tasks that require logic and cognitive reflection. In the present study we investigated how processing fluency affects the readiness with which people give utilitarian responses to both personal and impersonal dilemmas. Participants were presented in two different experimental blocks with dilemmas written in both easy- (fluent) and hard-to-read (disfluent) fonts. We expected that dilemmas written in a disfluent font would be associated with more utilitarian responses. Results supported this prediction, albeit only when the disfluent dilemmas appeared first, showing that participants endorsed more utilitarian actions in the disfluent condition than in the fluent condition across dilemma types. These data suggest that increasing processing disfluency by manipulating the font affects decisions in the moral domain., This research was supported by grant #PSI2015-64345-R from the Ministerio de Economía y Competitividad (MINECO, Spain) and FEDER funds

Humans and other animals accumulate resources, or wealth, by making successive risky decisions. If and how risk attitudes vary with wealth remains an open question. Here humans accumulated reward by accepting or rejecting successive monetary gambles within arbitrarily defined temporal contexts. Risk preferences changed substantially toward risk aversion as reward accumulated within a context, and blood oxygen level dependent (BOLD) signals in the ventromedial prefrontal cortex (PFC) tracked the latent growth of cumulative economic outcomes. Risky behavior was captured by a computational model in which reward prompts an adaptive update to the function that links utilities to choices. These findings can be understood if humans have evolved economic decision policies that fail to maximize overall expected value but reduce variance in cumulative outcomes, thereby ensuring that resources remain above a critical survival threshold.

Social decisions are crucial in our life. Many of these include interactions between agents in scenarios of varying complexity, where trust and cooperation are essential and multiple sources of information influence our choices. In this chapter we review the contributions from social neuroscience to understanding the sources of bias and control mechanisms in social decisions, integrating insights from diverse methodologies and analyses. These biases include individual influences (both stable and transient) and other stimulus-driven factors, such as social stereotypes, emotion displays, or information regarding personality traits. This information modulates different stages of processing, with control-related influences playing crucial roles to override conflicts between automatic tendencies and goals.