Structural and functional brain correlates of treatment-resistant depression: A systematic review of magnetic

Lauren E Carter1, Emily Lowery1, Mitul A Mehta2

  • 1Centre for affective disorders, Kings College London, London, UK.

Insights

Treatment-resistant depression (TRD) shows distinct brain changes, including reduced hippocampal volume and altered functional connectivity. More standardized research is needed to confirm these findings in major depressive disorder (MDD).

Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • Major depressive disorder (MDD) is a leading cause of global disability.
  • Approximately 30% of MDD patients are treatment-resistant (TRD), experiencing more severe symptoms and higher suicide risk.
  • Existing MRI studies on TRD brain alterations lack consistency due to methodological variations.

Purpose of the Study:

  • To systematically review and synthesize MRI-based evidence on structural and functional brain changes in TRD.
  • To compare these changes with those observed in non-treatment-resistant MDD (non-TRD) and treatment-sensitive depression (TSD).

Main Methods:

  • Systematic literature search across PubMed, Scopus, Web of Science, and EMBASE.
  • Inclusion criteria focused on studies comparing TRD cohorts with TSD or non-TRD MDD subgroups.
  • Analysis of 27 studies involving 22 TRD cohorts.

Main Results:

  • Consistent finding of reduced hippocampal volume in TRD patients compared to non-TRD.
  • Evidence of reduced white matter volume and integrity in TRD, though specific regions are unclear.
  • Altered functional connectivity (FC) in frontal, temporal, parietal lobes, cerebellum, and the default mode network (DMN) in TRD.

Conclusions:

  • Treatment resistance in MDD appears associated with specific neurobiological correlates.
  • Methodological inconsistencies across studies hinder definitive conclusions regarding TRD's underlying neurobiology.
  • Standardized methodologies, larger sample sizes, and consideration of clinical factors are crucial for future TRD research.

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