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Related Concept Videos

Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

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Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
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Depression: Overview01:18

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Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
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Related Experiment Video

Updated: Jun 25, 2025

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
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Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization

Dongmiao Huang1, Yuelin Wu1, Jihui Yue2

  • 1Department of Psychiatry, the Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, East Meihua Road, Zhuhai City, Guangdong Province, 519000, China.

BMC Psychiatry
|May 29, 2024
PubMed
Summary

Genetically determined structural connectivity of the brain's limbic network causally impacts depressive disorders. This study used bidirectional Mendelian randomization to explore this relationship, finding a significant effect on depression but not vice-versa.

Keywords:
Bidirectional two-sample mendelian randomizationDepressive disordersNeuroimagingResting-state brain network

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Genetics

Background:

  • Cerebral resting-state networks are linked to depressive disorders, but causality is debated.
  • Investigating the causal relationship between brain networks and depression is crucial for understanding neuropathology.

Purpose of the Study:

  • To investigate the causal effect of resting-state networks on depressive disorders using a bidirectional Mendelian randomization (MR) design.
  • To determine if structural or functional connectivity differences causally influence depression risk.

Main Methods:

  • Utilized genome-wide association study (GWAS) data for resting-state networks and depression in European populations.
  • Employed inverse-variance weighting as the primary MR analysis, with MR-Egger, weighted median, and MR-PRESSO for sensitivity analyses.
  • Analyzed functional and structural connectivity data from resting-state fMRI and diffusion imaging.

Main Results:

  • Found evidence for a causal effect of structural limbic network connectivity on depressive disorders (OR, [Formula: see text]).
  • No significant causal effect of depressive disorders on structural limbic network connectivity was detected (OR=1.0025; P=0.012).
  • No significant associations were observed between functional connectivity of resting-state networks and depressive disorders.

Conclusions:

  • Genetically determined structural connectivity of the limbic network causally influences depressive disorders.
  • Structural limbic network connectivity may play a critical role in the neuropathology of depression.