Altered amygdalar resting‐state connectivity in depression is explained by both genes and environment

  • Aldo Córdova‐Palomera
    Unidad de Antropología Departamento de Biología Animal Facultad de Biología and Instituto de Biomedicina (IBUB) Universitat de Barcelona Barcelona Spain
  • Cristian Tornador
    Center for Brain and Cognition Computational Neuroscience Group Department of Information and Communication Technologies Universitat Pompeu Fabra Barcelona Spain
  • Carles Falcón
    Medical Image Core facility, the Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) Barcelona Spain
  • Nuria Bargalló
    Centro de Investigaciones Biomédicas en Red de Salud Mental (CIBERSAM) Madrid Spain
  • Igor Nenadic
    Department of Psychiatry and Psychotherapy Jena University Hospital, Friedrich Schiller University Jena Jena Germany
  • Gustavo Deco
    Center for Brain and Cognition Computational Neuroscience Group Department of Information and Communication Technologies Universitat Pompeu Fabra Barcelona Spain
  • Lourdes Fañanás
    Unidad de Antropología Departamento de Biología Animal Facultad de Biología and Instituto de Biomedicina (IBUB) Universitat de Barcelona Barcelona Spain

書誌事項

公開日
2015-06-19
権利情報
  • http://onlinelibrary.wiley.com/termsAndConditions#vor
DOI
  • 10.1002/hbm.22876
公開者
Wiley

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説明

<jats:title>Abstract</jats:title><jats:p>Recent findings indicate that alterations of the amygdalar resting‐state fMRI connectivity play an important role in the etiology of depression. While both depression and resting‐state brain activity are shaped by genes and environment, the relative contribution of genetic and environmental factors mediating the relationship between amygdalar resting‐state connectivity and depression remain largely unexplored. Likewise, novel neuroimaging research indicates that different mathematical representations of resting‐state fMRI activity patterns are able to embed distinct information relevant to brain health and disease. The present study analyzed the influence of genes and environment on amygdalar resting‐state fMRI connectivity, in relation to depression risk. High‐resolution resting‐state fMRI scans were analyzed to estimate functional connectivity patterns in a sample of 48 twins (24 monozygotic pairs) informative for depressive psychopathology (6 concordant, 8 discordant and 10 healthy control pairs). A graph‐theoretical framework was employed to construct brain networks using two methods: (i) the conventional approach of filtered BOLD fMRI time‐series and (ii) analytic components of this fMRI activity. Results using both methods indicate that depression risk is increased by environmental factors altering amygdalar connectivity. When analyzing the analytic components of the BOLD fMRI time‐series, genetic factors altering the amygdala neural activity at rest show an important contribution to depression risk. Overall, these findings show that both genes and environment modify different patterns the amygdala resting‐state connectivity to increase depression risk. The genetic relationship between amygdalar connectivity and depression may be better elicited by examining analytic components of the brain resting‐state BOLD fMRI signals.<jats:italic>Hum Brain Mapp 36:3761–3776, 2015</jats:italic>. ©<jats:bold>2015 Wiley Periodicals, Inc.</jats:bold></jats:p>

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