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Related Experiment Videos

Pituitary size in depression.

K R Krishnan1, P M Doraiswamy, S N Lurie

  • 1Department of Psychiatry, Duke University Medical Center, Durham, North Carolina 27710.

The Journal of Clinical Endocrinology and Metabolism
|February 11, 1991
PubMed
Summary
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Major depression is linked to larger pituitary gland size. This study found significantly increased pituitary cross-sectional area and volume in depressed individuals, especially the elderly.

Area of Science:

  • Neuroimaging
  • Endocrinology
  • Psychiatry

Background:

  • Major depression is a prevalent mood disorder with complex pathophysiology.
  • Previous research has explored various neurobiological correlates of depression.
  • The role of the pituitary gland in depression remains under-investigated.

Purpose of the Study:

  • To investigate pituitary gland size in patients with major depression.
  • To compare pituitary dimensions between depressed individuals and healthy controls.
  • To identify potential structural alterations in the pituitary gland associated with major depression.

Main Methods:

  • Magnetic resonance imaging (MRI) was utilized to visualize the pituitary gland.
  • Pituitary gland size was quantified by measuring cross-sectional area and volume.

Related Experiment Videos

  • 19 patients diagnosed with major depression were compared to age- and sex-matched controls.

    • Main Results:

    • Depressed patients exhibited significantly larger pituitary cross-sectional area (P = 0.0009).
    • A significant increase in pituitary gland volume was observed in depressed patients (P = 0.007).
    • The enlargement of the pituitary gland was more pronounced in elderly depressed patients compared to elderly controls.

    Conclusions:

    • This study provides the first evidence of structural alterations in the pituitary gland in major depression.
    • Increased pituitary size may represent a potential neurobiological marker for major depression.
    • Further research is warranted to elucidate the functional implications of pituitary changes in depression.