Literature DB >> 19239986

Pituitary gland volume in currently depressed and remitted depressed patients.

Valentina Lorenzetti1, Nicholas B Allen, Alex Fornito, Christos Pantelis, Giovanni De Plato, Anthony Ang, Murat Yücel.   

Abstract

Major depressive disorder (MDD) has been associated with increased pituitary gland volume (PGV), which is thought to reflect stress-related dysregulation related to hypothalamic-pituitary-adrenal (HPA) axis activity. However, it is unclear whether PGV alteration reflects a "dynamic" change related to current mood instability or if it is a stable marker of illness vulnerability. In this study we investigated PGV in currently depressed patients (cMDD) (n=31), remitted depressed patients (rMDD) (n=31) and healthy controls (n=33), using 1.5 Tesla magnetic resonance imaging (MRI). The groups were matched for age and gender. We found no significant PGV, intra-cranial volume (ICV) or whole brain volume (WBV) differences between cMDD patients, rMDD patients and healthy controls. Furthermore, PGV was not correlated with clinical features of depression (e.g., age of onset; number of episodes; and scores on subscales of the Beck Depression Inventory, the Positive Affect and Negative Affect Scale, and the Mood and Anxiety Symptom Questionnaire). In conclusion, PGV does not appear to be a marker of current or past MDD in adult patients.

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Year:  2009        PMID: 19239986     DOI: 10.1016/j.pscychresns.2008.06.006

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  6 in total

1.  Comparison of three methods for the estimation of the pituitary gland volume using magnetic resonance imaging: a stereological study.

Authors:  Tolga Ertekin; Niyazi Acer; Ahmet T Turgut; Kenan Aycan; Ozlem Ozçelik; Mehmet Turgut
Journal:  Pituitary       Date:  2011-03       Impact factor: 4.107

Review 2.  Pituitary gland in psychiatric disorders: a review of neuroimaging findings.

Authors:  Murad Atmaca
Journal:  Pituitary       Date:  2014-08       Impact factor: 4.107

Review 3.  Childhood Trauma, the HPA Axis and Psychiatric Illnesses: A Targeted Literature Synthesis.

Authors:  Felim Murphy; Anurag Nasa; Dearbhla Cullinane; Kesidha Raajakesary; Areej Gazzaz; Vitallia Sooknarine; Madeline Haines; Elena Roman; Linda Kelly; Aisling O'Neill; Mary Cannon; Darren William Roddy
Journal:  Front Psychiatry       Date:  2022-05-06       Impact factor: 5.435

Review 4.  Towards automated detection of depression from brain structural magnetic resonance images.

Authors:  Kuryati Kipli; Abbas Z Kouzani; Lana J Williams
Journal:  Neuroradiology       Date:  2013-01-22       Impact factor: 2.804

5.  Pineal Gland Volume in Major Depressive and Bipolar Disorders.

Authors:  Tsutomu Takahashi; Daiki Sasabayashi; Murat Yücel; Sarah Whittle; Valentina Lorenzetti; Mark Walterfang; Michio Suzuki; Christos Pantelis; Gin S Malhi; Nicholas B Allen
Journal:  Front Psychiatry       Date:  2020-05-20       Impact factor: 4.157

6.  Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents.

Authors:  Simone Kühn; Anna Mascherek; Tobias Banaschewski; Arun L W Bokde; Christian Büchel; Erin Burke Quinlan; Sylvane Desrivières; Herta Flor; Antoine Grigis; Hugh Garavan; Penny Gowland; Andreas Heinz; Bernd Ittermann; Jean-Luc Martinot; Marie-Laure Paillère Martinot; Frauke Nees; Dimitri Papadopoulos Orfanos; Tomáš Paus; Luise Poustka; Sabina Millenet; Juliane H Fröhner; Michael N Smolka; Henrik Walter; Robert Whelan; Gunter Schumann; Ulman Lindenberger; Jürgen Gallinat
Journal:  Sci Rep       Date:  2020-01-27       Impact factor: 4.379

  6 in total

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