Molecular Architecture of Temporal Variability Network Dysfunction in Bipolar Disorder

Area of Science:

• Neuroscience
• Psychiatry
• Genetics

Background:

• Bipolar disorder (BD) is characterized by mood fluctuations and is considered a disconnection syndrome with dysregulated brain dynamics.
• The molecular underpinnings of aberrant brain connectivity in BD are not well understood.

Purpose of the Study:

• To identify alterations in the temporal variability of functional connectivity in BD.
• To explore the molecular mechanisms and clinical relevance of these neurodynamic changes.

Main Methods:

• Resting-state electroencephalography (EEG) data from BD patients and healthy controls were analyzed.
• Functional connectivity's temporal variability was assessed across large-scale brain networks.
• Associations between dynamic alterations, gene expression, and neurotransmitter receptor distribution were investigated.

Main Results:

• Significantly reduced temporal variability was observed in brain subnetworks, including dorsal attention, somatomotor, and visual networks.
• Neurodynamic signatures correlated with symptom severity in individuals with BD.
• Dynamic alterations were linked to BD risk genes (synaptic function, metabolic pathways) and neurotransmitter receptors (CB1, mGluR5, H3, MOR).

Conclusions:

• A multiscale framework connects genetic susceptibility and chemoarchitecture to brain network instability in BD.
• Dynamic brain network instability is implicated in the core clinical features of bipolar disorder.