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The extended neural architecture of human attachment: An fMRI coordinate-based meta-analysis of affiliative studies.
Bortolini, Tiago; Laport, Maria Clara; Latgé-Tovar, Sofia; Fischer, Ronald; Zahn, Roland; de Oliveira-Souza, Ricardo; Moll, Jorge.
Afiliação
  • Bortolini T; Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; IDOR - Pioneer Science Initiative, São Paulo, Brazil. Electronic address: tiago.bortolini@idor.org.
  • Laport MC; Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
  • Latgé-Tovar S; Institute of Psychiatry, Center for Alzheimer's Disease, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil.
  • Fischer R; Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; IDOR - Pioneer Science Initiative, São Paulo, Brazil; School of Psychology, PO Box 600, Victoria University of Wellington, Wellington 6021, New Zealand.
  • Zahn R; Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK.
  • de Oliveira-Souza R; Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; The Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Moll J; Cognitive Neuroscience and Neuroinformatics Unit, The D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; IDOR - Pioneer Science Initiative, São Paulo, Brazil.
Neurosci Biobehav Rev ; 159: 105584, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38367888
ABSTRACT
Functional imaging studies and clinical evidence indicate that cortical areas relevant to social cognition are closely integrated with evolutionarily conserved basal forebrain structures and neighboring regions, enabling human attachment and affiliative emotions. The neural circuitry of human affiliation is continually being unraveled as functional magnetic resonance imaging (fMRI) becomes increasingly prevalent, with studies examining human brain responses to various attachment figures. However, previous fMRI meta-analyses on affiliative stimuli have encountered challenges, such as low statistical power and the absence of robustness measures. To address these issues, we conducted an exhaustive coordinate-based meta-analysis of 79 fMRI studies, focusing on personalized affiliative stimuli, including one's infants, family, romantic partners, and friends. We employed complementary coordinate-based analyses (Activation Likelihood Estimation and Signed Differential Mapping) and conducted a robustness analysis of the results. Findings revealed cluster convergence in cortical and subcortical structures related to reward and motivation, salience detection, social bonding, and cognition. Our study thoroughly explores the neural correlates underpinning affiliative responses, effectively overcoming the limitations noted in previous meta-analyses. It provides an extensive view of the neural substrates associated with affiliative stimuli, illuminating the intricate interaction between cortical and subcortical regions. Our findings significantly contribute to understanding the neurobiology of human affiliation, expanding the known human attachment circuitry beyond the traditional basal forebrain regions observed in other mammals to include uniquely human isocortical structures.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética Limite: Animals / Humans / Infant Idioma: En Revista: Neurosci Biobehav Rev / Neurosci. biobehav. rev / Neuroscience and biobehavioral reviews Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética Limite: Animals / Humans / Infant Idioma: En Revista: Neurosci Biobehav Rev / Neurosci. biobehav. rev / Neuroscience and biobehavioral reviews Ano de publicação: 2024 Tipo de documento: Article