Literature DB >> 18199247

Pituitary gland volume in adolescent and young adult bipolar and unipolar depression.

Frank P MacMaster1, Ronald Leslie, David R Rosenberg, Vivek Kusumakar.   

Abstract

OBJECTIVES: Few studies have examined pituitary gland size in mood disorders, particularly in adolescents. We hypothesized increase in the pituitary gland size in early-onset mood disorders.
METHODS: Thirty subjects between the ages of 13 and 20 years participated in the study. Three groups (control, bipolar I depression and unipolar depression) of 10 subjects each (4 male, 6 female) underwent volumetric magnetic resonance imaging at 1.5 T.
RESULTS: Analysis of covariance (covarying for age, sex and intracranial volume) revealed a significant difference in pituitary gland volume amongst the groups [F(2,24) = 7.092, p = 0.014]. Post hoc analysis revealed that controls had a significantly smaller pituitary gland volume than both bipolar patients (p = 0.019) and depressed patients (p = 0.049). Bipolar and depressed subjects did not differ significantly from each other with regard to pituitary gland volume (p = 0.653). Control females had larger pituitary glands than control males [F(1,8) = 10.523, p = 0.012], but no sex differences were noted in the mood disorder groups.
CONCLUSIONS: Pituitary glands are enlarged in adolescents with mood disorders compared to controls. Healthy young females have larger pituitary glands than males, but such a difference is not evident in individuals with unipolar depression or bipolar disorder. These findings provide new evidence of abnormalities of the pituitary in early onset mood disorders, and are consistent with neuroendocrine dysfunction in early stages of such illnesses.

Entities:  

Mesh:

Year:  2008        PMID: 18199247     DOI: 10.1111/j.1399-5618.2008.00476.x

Source DB:  PubMed          Journal:  Bipolar Disord        ISSN: 1398-5647            Impact factor:   6.744


  11 in total

1.  Organic bases of late-life depression: a critical update.

Authors:  Kurt A Jellinger
Journal:  J Neural Transm (Vienna)       Date:  2013-01-25       Impact factor: 3.575

2.  Brain morphometric biomarkers distinguishing unipolar and bipolar depression. A voxel-based morphometry-pattern classification approach.

Authors:  Ronny Redlich; Jorge J R Almeida; Dominik Grotegerd; Nils Opel; Harald Kugel; Walter Heindel; Volker Arolt; Mary L Phillips; Udo Dannlowski
Journal:  JAMA Psychiatry       Date:  2014-11       Impact factor: 21.596

3.  Distinguishing between major depressive disorder and obsessive-compulsive disorder in children by measuring regional cortical thickness.

Authors:  Erin Fallucca; Frank P MacMaster; Joseph Haddad; Phillip Easter; Rachel Dick; Geoffrey May; Jeffrey A Stanley; Carrie Rix; David R Rosenberg
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4.  Differentiating bipolar disorder from unipolar depression in youth: A systematic literature review of neuroimaging research studies.

Authors:  Caroline Kelberman; Joseph Biederman; Allison Green; Vincenza Spera; Marco Maiello; Mai Uchida
Journal:  Psychiatry Res Neuroimaging       Date:  2020-10-05       Impact factor: 2.376

Review 5.  Distinguishing between unipolar depression and bipolar depression: current and future clinical and neuroimaging perspectives.

Authors:  Jorge Renner Cardoso de Almeida; Mary Louise Phillips
Journal:  Biol Psychiatry       Date:  2012-07-10       Impact factor: 13.382

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Authors:  Brijesh Kumar Soni; Upendra Kumar Joish; Hirdesh Sahni; Raju A George; Rajeev Sivasankar; Rohit Aggarwal
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Review 7.  Brain imaging in pediatric obsessive-compulsive disorder.

Authors:  Frank P MacMaster; Joseph O'Neill; David R Rosenberg
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2008-11       Impact factor: 8.829

8.  Volumetric and Morphometric Analysis of Pineal and Pituitary Glands of an Indian Inedial Subject.

Authors:  M S Raghuprasad; M Manivannan
Journal:  Ann Neurosci       Date:  2019-01-14

9.  Discriminating Bipolar Disorder From Major Depression Based on SVM-FoBa: Efficient Feature Selection With Multimodal Brain Imaging Data.

Authors:  Nan-Feng Jie; Mao-Hu Zhu; Xiao-Ying Ma; Elizabeth A Osuch; Michael Wammes; Jean Théberge; Huan-Dong Li; Yu Zhang; Tian-Zi Jiang; Jing Sui; Vince D Calhoun
Journal:  IEEE Trans Auton Ment Dev       Date:  2015-10-26

Review 10.  Brain Structural Effects of Antidepressant Treatment in Major Depression.

Authors:  Nicola Dusi; Stefano Barlati; Antonio Vita; Paolo Brambilla
Journal:  Curr Neuropharmacol       Date:  2015       Impact factor: 7.363

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