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Record W2099764354 · doi:10.1139/jpn.0836

The neurobiology of human social behaviour: an important but neglected topic

2008· editorial· en· W2099764354 on OpenAlexaffvenue
Simon N. Young

Bibliographic record

VenueJournal of Psychiatry and Neuroscience · 2008
Typeeditorial
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsMcGill University
Fundersnot available
KeywordsNeurosciencePsychologyCognitive science

Abstract

fetched live from OpenAlex

The past few decades have produced important advances in our understanding of how the brain regulates emotion and cognition. In comparison, research on the neuroscience of human social behaviour is a relatively neglected topic in spite of the importance of social interactions for mental health. In this editorial, I give examples of some of the experimental approaches that have been used to study the neural substrates of human social behaviour in the hope that this will stimulate more researchers to become involved with this fascinating and important topic. Humans are inherently social. We are not special in this way; it is hard to think of any animal for whom the regulation of social behaviour is not important. Something akin to social behaviour may even occur in organisms lacking a nervous system. For example, Science recently published an article titled “Genetic determinants of self identity and social recognition in bacteria.”1 Different animals, including humans, share many of the same types of social behaviour such as affiliation and aggression, the establishment of hierarchy and territoriality. This can be the case even in species, such as ants, with a primitive brain. Although we may share some of the broader aspects of our social behaviour with more primitive species, human social behaviour is obviously more complex but no less important for our health and survival. Given the importance of social interactions for humans, it is not surprising that most psychiatric disorders involve some disruption of normal social behaviour, and that in several disorders abnormal social functioning is one of the central symptoms. Examples are autism, social anxiety disorder, borderline personality disorder and schizotypal personality disorder. Despite the importance of social interaction, our understanding of the neural factors that control social behaviour is limited. Human social neuroscience is receiving increasing attention, but much of the current work concerns social cognition. For example, studies on the activation of different brain areas in response to faces with different expressions are interesting and important, but they are not central to the regulation of actual social behaviour. If response to faces was an essential determinant of social interaction, then blind people would not be able to form adequate social relationships and the use of text messaging would not be nearly as widespread as it is. The most extensive knowledge on the neurobiology of human social behaviour concerns one particular aspect of social behaviour: aggression.2,3 Research on aggression has led to the use of selective serotonin reuptake inhibitors (SSRIs) for the treatment of impulsive aggression,4 an illustration of how social neuroscience can lead to treatments for disordered social behaviour. However, aggression, although an important societal problem, does not feature prominently in many disorders even though it is required for the diagnosis of intermittent explosive disorder. Furthermore, overt aggression is not a common part of everyday social interactions. Research on the neurobiology of less extreme forms of social behaviour than aggression is limited. Two examples of how research on animals is starting to be applied to human social behaviour follow. In some species of monkeys, serotonin can influence both agonistic-affiliative behaviours and hierarchy. Although low levels of serotonin increase aggressive behaviours, as in humans, increasing serotonin function enhances prosocial behaviours such as grooming other animals.5,6 Increasing serotonin function also helps a male to achieve dominant status.7 Similar results have been reported in a few studies involving humans, carried out both in the laboratory and in everyday life. In the laboratory, healthy participants receiving an SSRI were rated more dominant and more cooperative during a mixed motive game8 and showed more affiliative behaviours during a dyadic puzzle task requiring cooperation.9 On the other hand, acute tryptophan depletion to lower serotonin levels caused reductions in the level of cooperation shown by participants when playing the prisoner's dilemma game.10 Acute tryptophan depletion also changed behaviour in an ultimatum game in which players had to decide whether to accept or reject fair or unfair monetary offers from another player. Participants with low serotonin levels rejected a greater proportion of unfair offers, but not fair offers.11 This result was consistent with a lowered level of affiliation. In studies investigating social behaviour in everyday life, social behaviour can be studied using an ecological momentary assessment methodology (discussed recently in this journal12) that measures behaviours along 2 axes, agreeable–quarrelsome and dominant–submissive. In crossover studies comparing placebo with the administration for 2 or 3 weeks of tryptophan to increase serotonin, increased serotonin was associated with decreased quarrelsomeness and increased dominance among healthy participants,13 and with decreased quarrelsomeness and increased agreeableness among participants with high trait hostility.14 In both studies, participants were not able to guess, better than by chance, when they were taking tryptophan and when they were taking placebo, indicating that participants were unaware that their behaviour was changed by tryptophan. Oxytocin is another compound that has been shown to influence social behaviour in animals, and its effect on humans has been tested recently. Animal studies have shown that oxytocin is involved in the formation of bonds between mates and between mothers and their offspring, including the use of aggression in the protection of these relationships.15 In laboratory studies involving healthy humans, intranasal administration of oxytocin altered behaviour in a way that indicated increased trust in others.16,17 In the past, one of the limiting factors in the study of the neurobiology of human social behaviour was the limitations in the methods for measuring social behaviour. In the past, this usually depended on peoples' own global assessment of their behaviour. The few studies described previously give an indication of the scope of the methodology that is now available for studying human social behaviour both in the laboratory and in everyday life. So far, most studies have looked at the effects on dyadic interactions. Future studies should also look at group interactions, both within groups and between groups. Group behaviour is an important component of human social behaviour and may differ in some ways from dyadic interactions. Social psychologists have studied what they term the interindividual–intergroup discontinuity, which refers to the fact that groups are sometimes more competitive or aggressive than individuals. This has been demonstrated in mixed-motive situations18 with a test based on Milgram's19 obedience research in which groups acting as teachers delivered significantly more severe shocks than individuals acting as teachers20 and in the prisoner's dilemma game in which groups were more competitive than individuals.21 Furthermore, discussion between groups was characterized by a higher frequency of fear and greed statements than discussion between individuals. How the manipulation of different neurotransmitters might affect these results is not known but should definitely be researched. The techniques for the study of human social behaviour are available. There are a wide variety of drugs that target different neurotransmitter systems and are available for use in experimental research involving humans. What seems to be lacking at the moment are researchers willing to combine both in their research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.530
Threshold uncertainty score0.746

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.350
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations61
Published2008
Admission routes2
Has abstractyes

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