Social Behavior Research Articles

Comparison of the connectivity of the posterior intralaminar thalamic nucleus and peripeduncular nucleus in rats and mice.

The posterior intralaminar thalamic nucleus (PIL) and peripeduncular nucleus (PP) are two adjoining structures located medioventral to the medial geniculate nucleus. The PIL-PP region plays important roles in auditory fear conditioning and in social, maternal and sexual behaviors. Previous studies often lumped the PIL and PP into single entity, and therefore it is not known if they have common and/or different brain-wide connections. In this study, we investigate brain-wide efferent and afferent projections of the PIL and PP using reliable anterograde and retrograde tracing methods. Both PIL and PP project strongly to lateral, medial and anterior basomedial amygdaloid nuclei, posteroventral striatum (putamen and external globus pallidus), amygdalostriatal transition area, zona incerta, superior and inferior colliculi, and the ectorhinal cortex. However, the PP rather than the PIL send stronger projections to the hypothalamic regions such as preoptic area/nucleus, anterior hypothalamic nucleus, and ventromedial nucleus of hypothalamus. As for the afferent projections, both PIL and PP receive multimodal information from auditory (inferior colliculus, superior olivary nucleus, nucleus of lateral lemniscus, and association auditory cortex), visual (superior colliculus and ectorhinal cortex), somatosensory (gracile and cuneate nuclei), motor (external globus pallidus), and limbic (central amygdaloid nucleus, hypothalamus, and insular cortex) structures. However, the PP rather than PIL receives strong projections from the visual related structures parabigeminal nucleus and ventral lateral geniculate nucleus. Additional results from Cre-dependent viral tracing in mice have also confirmed the main results in rats. Together, the findings in this study would provide new insights into the neural circuits and functional correlation of the PIL and PP.

An active inference approach to interpersonal differences in depression

Depression is characterized by different distortions in interpersonal experience and behavior, ranging from social withdrawal to overt hostility. However, clinical psychological research has largely neglected the need for an integrative framework to operationalize these different phenomena and their dynamic change more accurately in depression. In this article, we draw on active inference theory, a comprehensive theory of perception, action, and learning, to provide a formal model explaining how variations in patients' internal belief-systems lead to differences in social experience and behavior. In this context, we assume that individuals cannot directly grasp the characteristics of their social environment. Instead, they must infer them indirectly from ambiguous social observations, which they themselves generate and alter through their actions. Differences in interpersonal experience and behavior arise from the interplay of patients’ prior expectations, their propensity to infer particular social states from certain observations, and their beliefs in their ability to influence these situations through specific actions. We then use concrete examples to demonstrate how future research can take our approach to identify systematic differences in interpersonal experiences and behaviors among depressed patients (or patient subgroups) and to investigate their changes in response to new social experiences. We also discuss potential applications of our approach in diagnosing and treating depression. This work is a move towards understanding the interpersonal aspects of depression in more detail, recognizing their importance in etiology, diagnosis, and treatment.

Slitrk4 is required for the development of inhibitory neurons in the fear memory circuit of the lateral amygdala.

The Slitrk family consists of six synaptic adhesion molecules, some of which are associated with neuropsychiatric disorders. In this study, we aimed to investigate the physiological role of Slitrk4 by analyzing Slitrk4 knockout (KO) mice. The Slitrk4 protein was widely detected in the brain and was abundant in the olfactory bulb and amygdala. In a systematic behavioral analysis, male Slitrk4 KO mice exhibited an enhanced fear memory acquisition in a cued test for classical fear conditioning, and social behavior deficits in reciprocal social interaction tests. In an electrophysiological analysis using amygdala slices, Slitrk4 KO mice showed enhanced long-term potentiation in the thalamo-amygdala afferents and reduced feedback inhibition. In the molecular marker analysis of Slitrk4 KO brains, the number of calretinin (CR)-positive interneurons was decreased in the anterior part of the lateral amygdala nuclei at the adult stage. In in vitro experiments for neuronal differentiation, Slitrk4-deficient embryonic stem cells were defective in inducing GABAergic interneurons with an altered response to sonic hedgehog signaling activation that was involved in the generation of GABAergic interneuron subsets. These results indicate that Slitrk4 function is related to the development of inhibitory neurons in the fear memory circuit and would contribute to a better understanding of osttraumatic stress disorder, in which an altered expression of Slitrk4 has been reported.

Social sham chewing in sows?

In this short communication, we describe chewing behaviour in sows with no apparent edible substrate in their mouth as a potential social behaviour. Chewing in sows during interaction with unfamiliar sows was unexpectedly observed in a study assessing social abilities and damaging behaviours in group-housed dry sows. Such chewing was observed frequently and performed by almost all sows. To our knowledge, this behaviour has not been described previously in a social context in pigs, but rather as an oral stereotypic behaviour related to chronic hunger. We describe the behaviour in its social context and speculate on reasons for its occurrence in that context.

The role of insect gut microbiota in host fitness, detoxification and nutrient supplementation.

Insects are incredibly diverse, ubiquitous and have successfully flourished out of the dynamic and often unpredictable nature of evolutionary processes. The resident microbiome has accompanied the physical and biological adaptations that enable their continued survival and proliferation in a wide array of environments. The host insect and microbiome's bidirectional relationship exhibits their capability to influence each other's physiology, behavior and characteristics. Insects are reported to rely directly on the microbial community to break down complex food, adapt to nutrient-deficit environments, protect themselves from natural adversaries and control the expression of social behavior. High-throughput metagenomic approaches have enhanced the potential for determining the abundance, composition, diversity and functional activities of microbial fauna associated with insect hosts, enabling in-depth investigation into insect-microbe interactions. We undertook a review of some of the major advances in the field of metagenomics, focusing on insect-microbe interaction, diversity and composition of resident microbiota, the functional capability of endosymbionts and discussions on different symbiotic relationships. The review aims to be a valuable resource on insect gut symbiotic microbiota by providing a comprehensive understanding of how insect gut symbionts systematically perform a range of functions, viz., insecticide degradation, nutritional support and immune fitness. A thorough understanding of manipulating specific gut symbionts may aid in developing advanced insect-associated research to attain health and design strategies for pest management.

Psychostimulants and social behaviors.

Mounting evidence from animal models and human studies indicates that psychostimulants can significantly affect social behaviors. This is not surprising considering that the neural circuits underlying the regulation and expression of social behaviors are highly overlapped with those targeted by psychostimulants, which in most cases have strong rewarding and, consequently, addictive properties. In the present work, we provide an overview regarding the effects of illicit and prescription psychostimulants, such as cocaine, amphetamine-type stimulants, methylphenidate or modafinil, upon social behaviors such as social play, maternal behavior, aggression, pair bonding and social cognition and how psychostimulants in both animals and humans alter them. Finally, we discuss why these effects can vary depending on numerous variables such as the type of drug considered, acute versus long-term use, clinical versus recreational consumption, or the presence or absence of concomitant risk factors.

Unsupervised Social Bot Detection via Structural Information Theory

Research on social bot detection plays a crucial role in maintaining the order and reliability of information dissemination while increasing trust in social interactions. The current mainstream social bot detection models rely on black-box neural network technology, e.g., Graph Neural Network, Transformer, etc., which lacks interpretability. In this work, we present UnDBot, a novel unsupervised, interpretable, yet effective and practical framework for detecting social bots. This framework is built upon structural information theory. We begin by designing three social relationship metrics that capture various aspects of social bot behaviors: Posting Type Distribution , Posting Influence , and Follow-to-follower Ratio . Three new relationships are utilized to construct a new, unified, and weighted social multi-relational graph, aiming to model the relevance of social user behaviors and discover long-distance correlations between users. Second, we introduce a novel method for optimizing heterogeneous structural entropy. This method involves the personalized aggregation of edge information from the social multi-relational graph to generate a two-dimensional encoding tree. The heterogeneous structural entropy facilitates decoding of the substantial structure of the social bots network and enables hierarchical clustering of social bots. Thirdly, a new community labeling method is presented to distinguish social bot communities by computing the user’s stationary distribution, measuring user contributions to network structure, and counting the intensity of user aggregation within the community. Compared with ten representative social bot detection approaches, comprehensive experiments demonstrate the advantages of effectiveness and interpretability of UnDBot on four real social network datasets.

The Role of Gut Microbiota in the Etiopathogenesis of Multiple Chronic Diseases

Chronic diseases (CD) may result from a combination of genetic factors, lifestyle and social behaviours, healthcare system influences, community factors, and environmental determinants of health. These risk factors frequently coexist and interact with one another. Ongoing research and a focus on personalized interventions are pivotal strategies for preventing and managing chronic disease outcomes. A wealth of literature suggests the potential involvement of gut microbiota in influencing host metabolism, thereby impacting various risk factors associated with chronic diseases. Dysbiosis, the perturbation of the composition and activity of the gut microbiota, is crucial in the etiopathogenesis of multiple CD. Recent studies indicate that specific microorganism-derived metabolites, including trimethylamine N-oxide, lipopolysaccharide and uremic toxins, contribute to subclinical inflammatory processes implicated in CD. Various factors, including diet, lifestyle, and medications, can alter the taxonomic species or abundance of gut microbiota. Researchers are currently dedicating efforts to understanding how the natural progression of microbiome development in humans affects health outcomes. Simultaneously, there is a focus on enhancing the understanding of microbiome–host molecular interactions. These endeavours ultimately aim to devise practical approaches for rehabilitating dysregulated human microbial ecosystems, intending to restore health and prevent diseases. This review investigates how the gut microbiome contributes to CD and explains ways to modulate it for managing or preventing chronic conditions.

Perception of unfamiliar caregivers during sickness – Using the new Caregiver Perception Task (CgPT) during experimental endotoxemia

Social withdrawal is a well-established part of sickness behavior, but in some contexts sick animals might gain from keeping close instead of keeping away. For instance, sick individuals are more willing to be near known individuals who can provide care and safety (close others) compared to when healthy. Yet, interactions with some strangers might also be beneficial (i.e., healthcare professionals), but it is not known how sickness interplay with social behavior towards such individuals. Here, we assessed if sickness affects perception of caregivers, and developed a new task, the Caregiver Perception Task (CgPT). Twenty-six participants performed the CgPT, once after an injection of lipopolysaccharide (LPS, 0.8 ng/kg body weight, n = 24), and once after an injection of saline (n = 25), one hour and forty-five minutes post-injection. During the task, participants watched short video clips of three types of caregivers: a healthcare professional taking care of a sick individual, a healthcare professional not taking care of a sick individual, and a non-healthcare professional taking care of their sick adult child or partner. After each video clip, the likability, trustworthiness, professionalism, and willingness to interact with and receive care from the caregiver were rated on visual analogue scales. Results showed that participants injected with saline rated healthcare professionals who did not take care of a sick individual less positively on all aspects compared to healthcare professionals who took care of a sick individual. Moreover, compared to saline, LPS increased the participants’ willingness to receive care from healthcare professionals and non-healthcare professionals providing care, but not from healthcare professionals not providing care. Thus, our results indicate that sick individuals may approach unknown individuals with potential to provide care and support.

A short clinical perspective on the disease amyotrophic lateral sclerosis

There are sporadic and inherited variants of the motor neuron disease amyotrophic lateral sclerosis (ALS). Young and middle-aged persons are more likely to get ALS, and there aren't many therapies for it. Even though frontotemporal dementia mostly affects the nervous system and the fact that cognitive and behavioral symptoms have been documented for more than a decade, there are signs that ALS and frontotemporal degeneration coincide medically, radiologically, and pathologically, in addition to genetically. Cognitive decline in ALS is characterized by personality changes, irritability, obsessions, a lack of comprehension, and extensive abnormalities in frontal executive functions. The alterations in personality, social behavior, and executive function seen in frontotemporal dementia are consistent with this presentation. We also provide guidelines for the clinical assessment of frontotemporal dysfunction in patients with ALS. Improved protection for victims and their households as well as useful insights into the biology of neurodegeneration will result from knowledge of cognitive damage in ALS.

Conformal and Non-Minimal Couplings in Fractional Cosmology

Fractional differential calculus is a mathematical tool that has found applications in the study of social and physical behaviors considered “anomalous”. It is often used when traditional integer derivatives models fail to represent cases where the power law is observed accurately. Fractional calculus must reflect non-local, frequency- and history-dependent properties of power-law phenomena. This tool has various important applications, such as fractional mass conservation, electrochemical analysis, groundwater flow problems, and fractional spatiotemporal diffusion equations. It can also be used in cosmology to explain late-time cosmic acceleration without the need for dark energy. We review some models using fractional differential equations. We look at the Einstein–Hilbert action, which is based on a fractional derivative action, and add a scalar field, ϕ, to create a non-minimal interaction theory with the coupling, ξRϕ2, between gravity and the scalar field, where ξ is the interaction constant. By employing various mathematical approaches, we can offer precise schemes to find analytical and numerical approximations of the solutions. Moreover, we comprehensively study the modified cosmological equations and analyze the solution space using the theory of dynamical systems and asymptotic expansion methods. This enables us to provide a qualitative description of cosmologies with a scalar field based on fractional calculus formalism.

A Study of Adolescents' Behavioral Responses to Public Events and Guidance Trends in Social Media Platforms

With the popularization and development of social media, adolescence has become an important platform for adolescents to express their views, exchange information and participate in society. The purpose of this paper is to explore in depth adolescents' behavioral responses to public events on social media and their guiding trends and to analyze adolescents' motivations for using social media, the manifestation of public events on social media, the application of social movement theories in social media research, and the modern transformation of public sphere theories. Using a mixed-methods design that combines quantitative and qualitative data analysis, this study provides a comprehensive picture of adolescents' behavioral patterns, motivations for participation, and social impact on social media, as well as their roles and challenges in public discourse. The study revealed that adolescents respond to a variety of types of public events, including posting, commenting, sharing, and engaging in hashtags. Adolescents' interactive behaviors on social media information diffusion, opinion formation, and social mobilization are important social impacts of adolescents' social media behaviors. They accelerate the spread of information through sharing and retweeting, participate in the discussion of public issues and have a direct impact on the formation of public opinion. In addition, social media has become an effective tool for mobilizing social action, and adolescents promote practical action and participation in public issues by interacting with and organizing online activities. This study proposes a series of coping strategies, including improving users' media literacy and information discernment, social media platforms to strengthen the regulation and auditing of information dissemination, and the government and the community to strengthen the regulation and governance of the social media field. This study provides new perspectives for understanding adolescents' social participation in the digital age, showing how social media, as a new public sphere, affects public discourse, social mobilization, and the formation of civic identity. The findings not only provide rich empirical material for sociological theories but also provide valuable insights for promoting social public participation, improving information quality, and advancing social progress. Future research can further explore the impact of social media on adolescents' social participation in different cultural and social contexts, as well as how to optimize the efficacy of social media as a platform for public discourse and social mobilization through educational and policy interventions.

Social Behavior of Students from Families with Authoritarian Parenting Patterns (Strict Parents) in Makassar City

This research aims to explore the impact of authoritarian parenting, characterized by strict and controlling parental involvement, on students' social behavior. In using a qualitative approach with a case study strategy, this research selected ten informants through a purposive sampling technique. Data was collected through in-depth interviews and participant observation. The findings show that students who were raised in an authoritarian upbringing tend to show obedient and submissive behavior, but also be exclusive and careful in socializing with them. They lack self-confidence in social environments and tend to have limited openness towards parents. Even though they are obedient in worship, they often violate their parents' rules and even lie to them. The implication of this research is a deeper understanding of how parenting can influence the development of students' social behavior, as well as the potential impact in the long term.

Dopamine D1 receptor in medial prefrontal cortex mediates the effects of TAAR1 activation on chronic stress-induced cognitive and social deficits.

Trace amine-associated receptor 1 (TAAR1) is an intracellular expressed G-protein-coupled receptor that is widely expressed in major dopaminergic areas and plays a crucial role in modulation of central dopaminergic neurotransmission and function. Pharmacological studies have clarified the roles of dopamine D1 receptor (D1R) in the medial prefrontal cortex (mPFC) in cognitive function and social behaviors, and chronic stress can inhibit D1R expression due to its susceptibility. Recently, we identified TAAR1 in the mPFC as a potential target for treating chronic stress-induced cognitive and social dysfunction, but whether D1R is involved in mediating the effects of TAAR1 agonist remains unclear. Combined genomics and transcriptomic studies revealed downregulation of D1R in the mPFC of TAAR1-/- mice. Molecular dynamics simulation showed that hydrogen bond, salt bridge, and Pi-Pi stacking interactions were formed between TAAR1 and D1R indicating a stable TAAR1-D1R complex structure. Using pharmacological interventions, we found that D1R antagonist disrupted therapeutic effect of TAAR1 partial agonist RO5263397 on stress-related cognitive and social dysfunction. Knockout TAAR1 in D1-type dopamine receptor-expressing neurons reproduced adverse effects of chronic stress, and TAAR1 conditional knockout in the mPFC led to similar deficits, along with downregulation of D1R expression, all of these effects were ameliorated by viral overexpression of D1R in the mPFC, suggesting the functional interaction between TAAR1 and D1R. Collectively, our data elucidate the possible molecular mechanism that D1R in the mPFC mediates the effects of TAAR1 activation on chronic stress-induced cognitive and social deficits.

Biopsychosocial model in psychiatry: an anthropo-synergistic view of the problem (Report №1)

The article is devoted to the problem of the identity of psychiatry as a medical science in the descriptive categories of biological reductionism and humanitarian-anthropological approach. The positive and negative aspects of the use of biomedical principles of evidence-based medicine in psychiatric discourse are presented. The importance of cognition of a person as a synergistic (holistic) reality is emphasized, taking into account scientific prejudices. A systematic holistic description of pathokinesis and the content of a mental disorder is given through the study of the emergent qualities of a personality and its potential. The features of various types of biopsychosocial models are given, which, in the opinion of their adherents, provide a systematic approach to the relationship of the biological substrate (the brain) with mental phenomena and social behavior.

Long-range projections of oxytocin neurons in the marmoset brain.

The neurohormone oxytocin (OT) has become a major target for the development of novel therapeutic strategies to treat psychiatric disorders such as autism spectrum disorder because of its integral role in governing many facets of mammalian social behavior. Whereas extensive work in rodents has produced much of our knowledge of OT, we lack basic information about its neurobiology in primates making it difficult to interpret the limited effects that OT manipulations have had in human patients. In fact, previous studies have revealed only limited OT fibers in primate brains. Here, we investigated the OT connectome in marmoset using immunohistochemistry, and mapped OT fibers throughout the brains of adult male and female marmoset monkeys. We found extensive OT projections reaching limbic and cortical areas that are involved in the regulation of social behaviors, such as the amygdala, the medial prefrontal cortex, and the basal ganglia. The pattern of OT fibers observed in marmosets is notably similar to the OT connectomes described in rodents. Our findings here contrast with previous results by demonstrating a broad distribution of OT throughout the marmoset brain. Given the prevalence of this neurohormone in the primate brain, methods developed in rodents to manipulate endogenous OT are likely to be applicable in marmosets.

Preference-Based People-Aware Navigation for Telepresence Robots

AbstractThis work proposes an innovative people-aware navigation for telepresence robots in a populated environment based on the estimated inclination of people to interact and the context information. The main novelty of the proposed people-aware shared intelligence is the ability to fuse the remote operator’s commands with the probability of person-robot interaction—from both the operator driving the robot and the people around it—and translate it into semi-autonomous approaching and avoiding behaviors that are not coded a priori but rather dynamically emerge according to the current context-awareness. Experiments involved 45 healthy participants who evaluated the proposed approach on a real robot. Three conditions have been tested: (a) the new people-aware shared intelligence; (b) a shared intelligence system integrated with the standard ROS social navigation layers and; (c) a direct teleoperation (i.e., no robot’s intelligence). Results from our people-aware shared intelligence system have shown that the robot’s social behaviors were in line with the expectations of the participants in terms of comfort, naturalness, and sociability and coherent with the findings from previous studies. Furthermore, the proposed system has facilitated the social interaction between the remote operator and the surrounding people, making the robot more proactive and without affecting navigation performance.

Information dissemination behavior of self-media in emergency: Considering the impact of information synergistic-hedging effect on public utility

In the context of emergency, besides handling the incident itself, controlling public opinion is also crucial. Self-media, as a crucial channel for the public to access information, controlling its dissemination behavior is key to public opinion management. Given the complexity of self-media information dissemination, we propose an evolutionary model for social media information dissemination behavior based on complex network theory and evolutionary game theory. Firstly, aiming at the synergistic and hedging effects of information dissemination, we use the utility function to depict the public's information demand. Next, based on the public's information needs, evolutionary game theory is introduced to analyze the information dissemination behavior between two self-media entities. Lastly, we map the dissemination behavior of self-media onto network space, analyzing the information propagation behavior of self-media within a complex network. The study shows that the probability of self-media disseminating positive information increases with the rise of the positive information synergistic effect and decreases with the increase of the negative information synergistic effect. When positive and negative information coexists, the dissemination behavior of self-media depends on the influence size of positive and negative information. With the improvement of government credibility, the probability of self-media disseminating positive information decreases slightly at first, and then increases rapidly. When the government's penalties increase, the probability of self-media disseminating positive information quickly rises. The changes in noise intensity have an uncertain impact on the positive information dissemination behavior of self-media. Compared with other factors, self-media is more sensitive to government credibility and punishment.

Intermediary organizations and their role in advancing the SDGs in higher education

ABSTRACT Drawing on evidence from documents and semi-structured interviews with members of the Catalan system of higher education, this research explores how intermediary organizations (IOs) facilitate the adoption of the Sustainable Development Goals (SDGs), conceived as a global policy framework, in local contexts. We observed that, despite the voluntary nature of SDGs-related policies, most Catalan public universities embraced the SDGs. Two contextual factors likely facilitated their effective engagement with this global initiative: first, the autonomy granted by regional and national governments to the higher education sector when it comes to social responsibility, and, second, the willingness and ability of higher education institutions (HEIs) in Catalonia to work with the SDGs. The key element added to these contextual factors was the collaboration stimulated by meso-level actors, namely Catalan intermediaries. The Catalan case exhibits a process whereby IOs effectively engage with HEIs, forging a platform for collaboration; in turn, this led the local government to delegate the task of promoting the SDGs to IOs. This paper contributes to the debate in global higher education policy-making as it discusses the policy implications of the involvement of intermediary actors in bringing global policy frameworks to local level.

An aggressive interaction rapidly increases brain androgens in a male songbird during the non-breeding season.

Aggression is a crucial behavior that impacts access to limited resources in different environmental contexts. Androgens synthesized by the gonads promote aggression during the breeding season. However, aggression can be expressed during the non-breeding season, despite low androgen synthesis by the gonads. The brain can also synthesize steroids ('neurosteroids'), including androgens, which might promote aggression during the non-breeding season. Male song sparrows, Melospiza melodia, are territorial year-round and allow the study of seasonal changes in the steroid modulation of aggression. Here, we quantified steroids following a simulated territorial intrusion (STI) for 10 min in wild adult male song sparrows during the breeding and non-breeding seasons. Using liquid chromatography-tandem mass spectrometry (LC-MS/MS), we examined 11 steroids: pregnenolone, progesterone, corticosterone, dehydroepiandrosterone, androstenedione, testosterone, 5α-dihydrotestosterone, 17β-estradiol, 17α-estradiol, estriol, and estrone. Steroids were measured in blood and 10 microdissected brain regions that regulate social behavior. In both seasons, STI increased corticosterone in the blood and brain. In the breeding season, STI had no rapid effects on androgens or estrogens. Intriguingly, in the non-breeding season, STI increased testosterone and androstenedione in several behaviorally-relevant regions, but not in the blood, where androgens remained non-detectable. Also in the non-breeding season, STI increased progesterone in the blood and specific brain regions. Overall, rapid socially modulated changes in brain steroid levels are more prominent during the non-breeding season. Brain steroid levels vary with season and social context in a region-specific manner and suggest a role for neuroandrogens in aggression during the non-breeding season.Significance Statement Steroids are important modulators of the brain and behavior. Steroids are secreted by glands into the bloodstream to exert their actions on target tissues. In addition, the brain itself can locally produce steroids ('neurosteroids'). We examined circulating and neural steroids across seasons and in response to an aggressive interaction in wild male song sparrows. Local androgen levels in the brain rapidly increase in response to an aggressive interaction in the non-breeding season, but not in the breeding season, indicating that neurosteroid production is dependent on the season and social context.