Active suicidal ideation associated with dysfunction in default mode network using resting-state EEG and functional...

Area of Science:

• Neuroscience
• Psychiatry
• Public Health

Background:

• Suicidal ideation (SI) in youth is a critical public health issue with poorly understood biological underpinnings.
• Identifying neurobiological markers for SI is essential for early detection and intervention.

Purpose of the Study:

• To investigate the connectome profile associated with suicidal ideation in adolescents and young adults.
• To explore the relationship between resting-state electroencephalography (EEG) connectivity patterns and SI.

Main Methods:

• Utilized resting-state EEG data from 111 participants (aged 10-26) with depressive or bipolar disorder.
• Analyzed neurocircuitry using orthogonalized power envelope connectivity.
• Applied principal component analysis and regularized canonical correlation analysis to associate EEG data with SI.

Main Results:

• Found consistent involvement of the default mode network (DMN) dysfunction in participants with SI.
• Identified specific patterns of EEG connectivity changes related to SI across theta, alpha, and beta bands.
• Preliminary evidence suggests DMN dysfunction is associated with active suicidal ideation in adolescents.

Conclusions:

• Resting-state EEG-based connectivity analysis reveals potential neurobiological markers for SI.
• DMN dysfunction is implicated in the neurocircuitry of suicidal ideation in young individuals.
• This approach may advance the clinical identification of suicidal ideation through neurocircuit dysfunction.