Assessing remission in major depressive disorder using a functional-structural data fusion pipeline: A CAN-BIND-1...

Area of Science:

• Neuroscience
• Psychiatry
• Medical Imaging

Background:

• Understanding neural mechanisms of major depressive disorder (MDD) symptom remission is crucial.
• Single-perspective studies limit insights into complex brain network changes.
• Multimodal approaches offer richer data on brain networks in neuropsychiatric disorders.

Purpose of the Study:

• To introduce the FATCAT-awFC pipeline for integrating functional and structural connectivity.
• To investigate differences in brain connectivity between major depressive disorder (MDD) remitters (REM) and non-remitters (NREM).
• To explore longitudinal connectivity changes in REM patients and their association with cognitive function.

Main Methods:

• Developed and utilized the FATCAT-awFC pipeline for anatomically weighted functional connectivity (awFC) analysis.
• Included 93 participants from the CAN-BIND-1 study, comparing MDD patients treated with escitalopram and aripiprazole.
• Performed between-group and longitudinal analyses of structural connectivity (SC), functional connectivity (FC), and awFC at baseline and 8 weeks.

Main Results:

• Remitters (REM) showed lower awFC in default mode, frontoparietal, and ventral attention networks compared to non-remitters (NREM).
• Longitudinal analysis revealed increased awFC in the dorsal attention network and decreased awFC in the frontoparietal network in REM patients from baseline to week 8.
• Frontoparietal awFC correlated with cognitive flexibility and neurocognitive index in NREM patients at week 8.

Conclusions:

• The FATCAT-awFC pipeline provides an intuitive and comprehensive approach to analyzing brain connectivity changes.
• Distinct awFC patterns differentiate MDD remitters from non-remitters.
• Observed connectivity changes in REM patients suggest dynamic network alterations during treatment recovery.