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•This study is the first to explore how trait anxiety affects observational fear learning through behavioral, physiological, and brain activation measures.•Individuals with high trait anxiety (HTA) exhibited elevated fear responses and medial prefrontal cortex activation to both threatening and non-threatening stimuli, compared to those with low trait anxiety.•Even in safe settings, individuals with HTA displayed stronger skin conductance responses to vicarious threats.•Excessive observational fear learning in individuals with HTA may pose a risk for developing anxiety-related disorders. Observational fear learning delineates the process by which individuals learn about potential threats through observing others’ reactions. Prior research indicates that individuals with high trait anxiety (HTA) manifest pronounced fear responses in direct fear learning scenarios. However, the specific influence of trait anxiety on observational fear learning remains insufficiently explored. This study aimed to fill this gap by examining 64 university students, divided equally between those with HTA and low trait anxiety (LTA), selected from an initial pool of 483 participants. Participants were subjected to observational fear learning tasks, and their behavioral responses, physiological reactions, and brain activations were recorded. Results demonstrated that HTA participants exhibited differentiated skin conductance responses to threat and safety stimuli during the observational fear acquisition phase, notwithstanding prior assurances against shock delivery. Furthermore, during the direct test phase, HTA participants reported significantly elevated fear and shock expectancy ratings for both types of stimuli, in contrast to their LTA counterparts. Neuroimaging data, derived via functional near-infrared spectroscopy (fNIRS) revealed heightened medial prefrontal cortex activation in HTA participants when directly facing threats. This study systematically explores the influence of high trait anxiety on observational fear learning, uncovering that HTA individuals exhibit excessive fear responses. These findings highlight the critical role of trait anxiety as a significant risk factor in the development of anxiety disorders.

•We compared observational learning of fear from friends and strangers.•Familiarity does not enhance social learning of fear in humans.•Bayesian statistics confirm absence of differences between friends and strangers.•Observational fear learning activates social and fear networks including amygdala.•Amygdala activations are absent when learned fear is recalled. Humans often benefit from social cues when learning about the world. For instance, learning about threats from others can save the individual from dangerous first-hand experiences. Familiarity is believed to increase the effectiveness of social learning, but it is not clear whether it plays a role in learning about threats. Using functional magnetic resonance imaging, we undertook a naturalistic approach and investigated whether there was a difference between observational fear learning from friends and strangers. Participants (observers) witnessed either their friends or strangers (demonstrators) receiving aversive (shock) stimuli paired with colored squares (observational learning stage). Subsequently, participants watched the same squares, but without receiving any shocks (direct-expression stage). We observed a similar pattern of brain activity in both groups of observers. Regions related to threat responses (amygdala, anterior insula, anterior cingulate cortex) and social perception (fusiform gyrus, posterior superior temporal sulcus) were activated during the observational phase, possibly reflecting the emotional contagion process. The anterior insula and anterior cingulate cortex were also activated during the subsequent stage, indicating the expression of learned threat. Because there were no differences between participants observing friends and strangers, we argue that social threat learning is independent of the level of familiarity with the demonstrator.

Prior experience of social hierarchy is known to modulate emotional contagion, a basic form of affective empathy. However, it is not known whether this behavioral effect occurs through changes in an individual's traits due to their experience of social hierarchy or specific social interrelationships between the individuals. Groups of four mice with an established in‐group hierarchy were used to address this in conjunction with a tube test. The rank‐1 and rank‐4 mice were designated as the dominant or subordinate groups, respectively. The two individuals in between were designated as the intermediate groups, which were then used as the observers in observational fear learning (OFL) experiments, an assay for emotional contagion. The intermediate observers showed greater OFL responses to the dominant demonstrator than the subordinate demonstrators recruited from the same home‐cage. When the demonstrators were strangers from different cages, the intermediate observers did not distinguish between dominant and subordinate, displaying the same level of OFL. In a reverse setting in which the intermediate group was used as the demonstrator, the subordinate observers showed higher OFL responses than the dominant observers, and this occurred only when the demonstrators were cagemates of the observers. Furthermore, the bigger the rank difference between a pair, the higher the OFL level that the observer displayed. Altogether, these results demonstrate that the hierarchical interrelationship established between a given pair of animals is critical for expressing emotional contagion between them rather than any potential changes in intrinsic traits due to the experience of dominant/subordinate hierarchy. Practitioner points Subordinate observer or dominant demonstrator resulted in higher affective empathic response in familiar pairs but not unfamiliar pairs. The relative social rank of the observer with respect to the demonstrator had a negative linear correlation with the affective empathic response of the observer in familiar pairs but not unfamiliar pairs. The effect of social rank on affective empathy is attributed to the prior social hierarchical interrelationship between them and is not due to intrinsic attributes of an individual based on one's dominance rank. Subordinate observer or dominant demonstrator resulted in higher empathic response in familiar pair. The hierarchical effect on empathy was not observed toward an unfamiliar partner. The relative hierarchy is sufficient to distinguish the difference in empathy.

Rats can acquire fear by observing conspecifics that express fear in the presence of conditioned fear stimuli. This process is called observational fear learning and is based on the social transmission of the demonstrator rat’s emotion and the induction of an empathy-like or anxiety state in the observer. The aim of the present study was to investigate the role of trait anxiety and ultrasonic vocalization in observational fear learning. Two experiments with male Wistar rats were performed. In the first experiment, trait anxiety was assessed in a light–dark box test before the rats were submitted to the observational fear learning procedure. In the second experiment, ultrasonic vocalization was recorded throughout the whole observational fear learning procedure, and 22 kHz and 50 kHz calls were analyzed. The results of our study show that trait anxiety differently affects direct fear learning and observational fear learning. Direct fear learning was more pronounced with higher trait anxiety, while observational fear learning was the best with a medium-level of trait anxiety. There were no indications in the present study that ultrasonic vocalization, especially emission of 22 kHz calls, but also 50 kHz calls, are critical for observational fear learning.

Vicarious learning, i.e. learning through observing others rather than through one’s own experiences, is an integral skill of social species. The aim of this study was to assess the causal role of affect sharing, an important aspect of empathy, in vicarious fear learning. N = 39 participants completed a vicarious Pavlovian fear conditioning paradigm. In the learning stage, they watched another person–the demonstrator–responding with distress when receiving electric shocks to a color cue (conditioned stimulus; CS+; a different color served as CS-). In the subsequent test stage, an increased skin conductance response (SCR) to the CS+ presented in the absence of the demonstrator indexed vicarious fear learning. Each participant completed this paradigm under two different hypnotic suggestions, which were administered to induce high or low affect sharing with the demonstrator in the learning stage, following a counterbalanced within-subject design. In the learning stage, high affect sharing resulted in stronger unconditioned SCR, increased eye gaze toward the demonstrator’s face, and higher self-reported unpleasantness while witnessing the demonstrator’s distress. In the test stage, participants showed a stronger conditioned fear response (SCR) when they had learned under high, compared to low, affect sharing. In contrast, participants’ declarative memory of how many shocks the demonstrator had received with each cue was not influenced by the affect sharing manipulation. These findings demonstrate that affect sharing is involved in enhancing vicarious fear learning, and thus advance our understanding of the role of empathy, and more generally emotion, in social observational learning.

In today’s world, mass-media and online social networks present us with unprecedented exposure to second-hand, vicarious experiences and thereby the chance of forming associations between previously innocuous events (e.g., being in a subway station) and aversive outcomes (e.g., footage or verbal reports from a violent terrorist attack) without direct experience. Such social threat, or fear, learning can have dramatic consequences, as manifested in acute stress symptoms and maladaptive fears. However, most research has so far focused on socially acquired threat responses that are expressed as increased arousal rather than active behavior. In three experiments (n = 120), we examined the effect of indirect experiences on behaviors by establishing a link between social threat learning and instrumental decision making. We contrasted learning from direct experience (i.e., Pavlovian conditioning) (experiment 1) against two common forms of social threat learning—social observation (experiment 2) and verbal instruction (experiment 3)—and how this learning transferred to subsequent instrumental decision making using behavioral experiments and computational modeling. We found that both types of social threat learning transfer to decision making in a strong and surprisingly inflexible manner. Notably, computational modeling indicated that the transfer of observational and instructed threat learning involved different computational mechanisms. Our results demonstrate the strong influence of others’ expressions of fear on one’s own decisions and have important implications for understanding both healthy and pathological human behaviors resulting from the indirect exposure to threatening events.

This study compared fear learning acquired through direct experience (Pavlovian conditioning) and fear learning acquired without direct experience via either observation or verbal instruction. We examined whether these three types of learning yielded differential responses to conditioned stimuli (CS+) that were presented unmasked (available to explicit awareness) or masked (not available to explicit awareness). In the Pavlovian group, the CS+ was paired with a mild shock, whereas the observational-learning group learned through observing the emotional expression of a confederate receiving shocks paired with the CS+. The instructed-learning group was told that the CS+ predicted a shock. The three groups demonstrated similar levels of learning as measured by the skin conductance response to unmasked stimuli. As in previous studies, participants also displayed a significant learning response to masked stimuli following Pavlovian conditioning. However, whereas the observational-learning group also showed this effect, the instructed-learning group did not.

Avoidance is an essential behaviour for ensuring safety in uncertain and dangerous environments. One way to learn what is dangerous and must be avoided is through observational threat learning. This online study explored the behavioural implications of observed threat learning, examining how participants avoided or approached a learned threat and how this affected their movement patterns. Participants (n = 89) completed an observational threat learning task, rating their fear, discomfort, and physical arousal in response to conditioned stimuli. The retrieval of learned threat was reassessed 24 h later, followed by a reminder of the observed threat associations. Participants subsequently completed a computerised avoidance task, in which they navigated from a starting point to an endpoint by selecting one of two doors, each associated with either safety or danger, relying on observed information. Opting for the safe door entailed increased effort to attain the goal. Results demonstrated that observational threat learning influenced avoidance behaviour and decision-making dependent on baseline effort level. Participants tended to exhibit thigmotaxis, staying close to walls and taking extra steps to reach their goal. This behaviour indirectly mediated the number of steps taken. This study provides valuable insights into avoidance behaviour following observational threat learning in healthy humans.

Survival relies on an organism's intrinsic ability to instinctively react to stimuli such as food, water, and threats, ensuring the fundamental ability to feed, drink, and avoid danger even in the absence of prior experience. These natural, unconditioned stimuli can also facilitate associative learning, where pairing them consistently with neutral cues will elicit responses to these cues. Threat conditioning, a well-explored form of associative learning, commonly employs painful electric shocks, mimicking injury, as unconditioned stimuli. It remains elusive whether actual injury or pain is necessary for effective learning, or whether the threat of harm is sufficient. Approaching predators create looming shadows and sounds, triggering strong innate defensive responses like escape and freezing. This study investigates whether visual looming stimuli can induce learned freezing or learned escape responses to a conditioned stimulus in male rats. Surprisingly, pairing a neutral tone with a looming stimulus only weakly evokes learned defensive responses, in contrast to the strong responses observed when the looming stimulus is replaced by a shock. This dissociation sheds light on the boundaries for learned defensive responses thereby impacting our comprehension of learning processes and defensive strategies.

Neural and Behavioral Mechanisms of Social Learning 12 13 Social learning, the acquisition of new information or behavior through observation of or instruction 14 by other organisms, has been observed in a host of species [1][2][3]. Humans in particular rely heavily 15 on social learning strategies to acquire and distribute information between individuals and across 16 generations [4]. Moreover, access to social learning opportunities is essential for normative 17 behavioral and cognitive development, as is evidenced by the persistent deficits observed in 18 individuals deprived of social contact in early life. In accordance with the clear importance of this 19 information transfer method, much research has been dedicated to understanding social learning at a 20 mechanistic level [5][6][7][8]. In this editorial, we feature a collection of recent articles focused on further 21 developing our understanding of the behavioral and/or biological underpinnings of social learning. 22In the collection's first paper, de Groot et al. assessed human participants on their reliance on social 23 information and utilized magnetic resonance imaging (MRI) to calculate the total volumes of various 24 brain regions. Using machine learning models, they attempted to determine whether the total volume 25 of different brain regions related to the degree of reliance on socially acquired information. They 26 found that increased reliance on information thought to be coming from another individual for 27 decision making was related to higher volume in the pars triangularis and entorhinal cortex. They 28 also found a negative correlation between reliance on social information and activity in certain 29 regions of the frontal and post-central gyri. While the authors speculated that the postcentral and 30 frontal gyri were more likely to be mediating visual processes required for task performance, the 31 other regions were thought to be uniquely involved in social learning. 32In their recent methods paper, Taggert et al. describe the development of an open-source automated 33 social interaction chamber for the study of social threat learning in mice. Their device consists of a 34 small \"social stimulus\" chamberlarge enough to house an adult mouse -that can neatly slot into 35 standard modular fear conditioning chambers. A series of infrared photobeams at the barrier between 36 the two chambers detect interactions between a stimulus and test mouse, allowing for shock delivery 37 to the test mouse timed to social interaction. They demonstrate that this system successfully induces 38 learned social avoidance in mice shocked on interaction with the stimulus mouse. Their design 39 allows for easy integration of social threat learning as a behavioral model into any lab outfitted with 40 modular fear conditioning chambers. Much about the behavioral and biological underpinnings of social learning remain to be understood. 57The articles included in this collection represent some of the latest findings, methodological 58 advances, and discussions that may help further elucidate this topic. 59 1