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This study explored how genetic and environmental risks influence emotional networks. While suggestive changes were observed, conclusive evidence linking these factors to affective mental state networks was lacking.

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Area of Science:

  • Psychiatry
  • Network Science
  • Behavioral Genetics

Background:

  • Understanding the interplay of genetic and environmental factors in psychopathology is crucial.
  • Affective mental states (AMS) form complex networks that may be influenced by these risks.
  • Momentary assessment technology offers a dynamic view of these emotional networks.

Purpose of the Study:

  • To investigate temporal networks of affective mental states (AMS).
  • To stratify these networks by genetic liability and environmental risk exposure.
  • To model the influence of genetic and environmental risks on psychopathology.

Main Methods:

  • Utilized the experience sampling method (ESM) to collect momentary AMS data.
  • Assessed childhood trauma and genetic liability in a population-based sample of female twins/sisters (N=585).
  • Employed multilevel time-lagged regression analysis to generate network models and compared them across risk strata.

Main Results:

  • Visual inspection suggested changes in AMS networks with increased childhood trauma or genetic liability.
  • Observed stronger positive feedback loops among negative AMS (anxious, insecure, down) under higher risk.
  • Statistical comparisons across risk strata were inconclusive, failing to provide definitive evidence.

Conclusions:

  • The study found suggestive, but not conclusive, evidence for genetic and environmental impacts on AMS network dynamics.
  • Further research is needed to definitively establish the influence of genetic and environmental factors on emotional networks in psychopathology.