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An update on regional brain volume differences associated with mood disorders.
Stephanie Campbell1, Glenda MacQueen
1McMaster University Medical Centre, Hamilton, Ontario, Canada.
Current Opinion in Psychiatry
|April 14, 2006
Summary
Demographic and clinical factors like age, sex, and illness history influence brain volume changes in mood disorders. These characteristics are crucial for understanding inconsistent findings in neuroimaging studies.
Area of Science:
- Neuroimaging
- Psychiatry
- Brain Anatomy
Background:
- Magnetic resonance imaging studies reveal structural brain changes in mood disorders, but findings are often inconsistent.
- Previous research has not consistently identified demographic or clinical factors associated with these observed brain volume alterations.
Purpose of the Study:
- To systematically review and identify demographic or clinical characteristics associated with regional brain volume changes in individuals with mood disorders.
- To reconcile divergent findings in neuroimaging studies of major depressive disorder and bipolar disorder.
Main Methods:
- A systematic literature search was conducted on MEDLINE for English-language studies published between January 2004 and July 2005.
- Iterative searching of cited references was performed to identify additional relevant studies.
Main Results:
- Small hippocampal volumes are noted in recurrent major depressive disorder, particularly with childhood onset, but less consistently in early adult-onset depression or bipolar disorder.
- Amygdala volume changes are inconsistently reported in major depressive disorder and bipolar disorder.
- Limited reports exist for frontal cortex and striatal volumes; psychotropic medication effects necessitate treatment history documentation.
Conclusions:
- Patient age, sex, age at onset, illness course, and treatment status are potential factors influencing the detection of regional brain volume changes in mood disorders.
- These variables are critical for interpreting neuroimaging findings and understanding heterogeneity in mood disorder research.