Dynamic Functional Connectivity in Adolescence-Onset Major Depression: Relationships With Severity and Symptom...

Area of Science:

• Neuroscience
• Computational Psychiatry
• Brain Imaging

Background:

• The spatial functional chronnectome models dynamic brain function using resting-state fMRI.
• Dynamic functional connectivity quantifies brain self-reconfigurations across scales.
• This study investigates the link between brain dynamics and late adolescence-onset major depressive disorder (AO-MDD).

Purpose of the Study:

• To determine if spatiotemporal dynamic functional connectivity measures are associated with AO-MDD.
• To examine the relationship between these dynamic measures and depression severity (Montgomery-Åsberg Depression Rating Scale).

Main Methods:

• Utilized 3T MRI to acquire structural and resting-state fMRI data from 35 AO-MDD patients and 53 healthy controls.
• Analyzed brain activity across seven individualized functional networks over 132 temporal windows (110 seconds each).
• Employed voxelwise analyses to assess temporal variability within functional networks.

Main Results:

• AO-MDD patients showed significantly reduced temporal variability in the bilateral prefrontal cortex across five functional networks, including the limbic, default mode, and frontoparietal networks.
• Limbic network dynamic inflexibility correlated with depression severity and sadness.
• Default mode and frontoparietal network dynamics were associated with negative thoughts and neurovegetative symptoms, respectively.

Conclusions:

• Imbalances in these triple networks may impair spatiotemporal integration in AO-MDD.
• Brain network dynamics contribute to the heterogeneity of symptoms observed in AO-MDD patients.
• This approach highlights the role of dynamic brain network alterations in AO-MDD.