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Published on: January 2, 2012
Association between Cortical Gyrification and Major Depression: Clinical Correlates
Andreas Buchmann1,2, Adrian Hase1,2, Christopher Johannes Ritter3,4
1Unit of Psychiatry Research, University of Fribourg, Fribourg, Switzerland.
Lower gyrification in the left anterior cingulate cortex (ACC) is linked to a higher lifetime risk of major depressive disorder (MDD). This brain structure variation may indicate earlier onset and higher neuroticism in individuals with MDD.
Area of Science:
- Neuroscience
- Psychiatry
- Neuroimaging
Background:
- Major depressive disorder (MDD) is a prevalent global psychiatric condition.
- Cortical gyrification is emerging as a potential early risk marker for depression.
- The anterior cingulate cortex (ACC) is implicated in mood regulation and depression.
Purpose of the Study:
- To investigate left ACC gyrification as a potential biomarker for MDD.
- To explore the association between ACC gyrification patterns and MDD characteristics.
- To examine the relationship between ACC gyrification and personality traits.
Main Methods:
- Analysis of medial views of cortical surface reconstructions for gyrification measurement.
- Expert rater-based assessment of left ACC gyrification patterns.
- Comparison of gyrification variants between individuals with and without MDD.
- Correlation analysis with age of disorder onset and personality scores (neuroticism, extraversion).
Main Results:
- A specific left ACC gyrification pattern (fewer antero-posterior gyri) was more common in individuals with a history of MDD (p = .048).
- Individuals with this fewer-gyri variant experienced earlier onset of MDD (d = -0.30).
- Fewer longitudinal gyri in the left ACC correlated with higher neuroticism scores (η2= .02).
- Automated gyrification and surface area measures generally supported expert findings.
Conclusions:
- Left ACC gyrification may serve as an early phenotypic marker for MDD, potentially reflecting early developmental factors.
- This finding warrants further investigation in at-risk populations and with advanced neuroimaging techniques.
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