MétaCan
Menu
Retour à la cohorte
Enregistrement W2099764354 · doi:10.1139/jpn.0836

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

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

Notice bibliographique

RevueJournal of Psychiatry and Neuroscience · 2008
Typeeditorial
Langueen
DomainePsychology
ThématiqueNeuroendocrine regulation and behavior
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésNeurosciencePsychologyCognitive science

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,530
Score d'incertitude au seuil0,746

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,025
Tête enseignante GPT0,350
Écart entre enseignants0,325 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations61
Publié2008
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueJournal of Psychiatry and NeuroscienceMême sujetNeuroendocrine regulation and behaviorTravaux en français237 207