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The Vulnerability to Suicidal Behavior is Associated with Reduced Connectivity Strength
Stijn Bijttebier1, Karen Caeyenberghs2, Hans van den Ameele3
1Unit for Suicide Research, Department of Psychiatry and Medical Psychology, Ghent University Ghent, Belgium.
Structural brain network differences in suicide attempters (SA) may predict future risk. Euthymic SA showed decreased connectivity, linked to clinical symptoms, offering insights into suicidal behavior prediction.
Area of Science:
- Neuroscience
- Psychiatry
- Genetics
Background:
- Suicidal behavior is a significant public health issue.
- The stress-diathesis model suggests biological factors (diathesis) interact with stressors to predict risk.
- Structural brain network alterations are increasingly implicated in the diathesis for suicidal behavior.
Purpose of the Study:
- To identify structural network changes associated with a diathesis in euthymic suicide attempters (SA) using a whole-brain approach.
- To investigate the relationship between these connectivity measures and clinical/genetic factors.
- To explore the potential of these network differences in predicting suicidal behavior.
Main Methods:
- Comparison of structural brain connectivity in 13 euthymic SA, 15 euthymic non-attempters, and 17 healthy controls (HC).
- Diffusion MRI and anatomical scans were used for whole-brain tractography and network analysis (NBS).
- Assessment of clinical characteristics and serotonin-related genetic polymorphisms.
Main Results:
- SA exhibited decreased connectivity strength between the left olfactory cortex and left anterior cingulate gyrus.
- SA reported increased suicidal ideation, hopelessness, and depression, but showed no genetic differences compared to controls.
- Reduced connectivity between the right calcarine fissure and left middle occipital gyrus correlated with higher trait anxiety and hopelessness.
Conclusions:
- Suicide attempters demonstrate distinct white matter network connectivity patterns.
- These connectivity differences are associated with specific clinical characteristics, including anxiety and hopelessness.
- Structural network alterations may serve as important biomarkers for predicting suicidal behavior risk.
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