Pituitary gland volume in currently depressed and remitted depressed patients

Lorenzetti, Valentina; Allen, Nicholas B.; Fornito, Alexander; Pantelis, Christos; Plato, Giovanni De; Ang, Anthony; Yücel, Murat

doi:10.1016/j.pscychresns.2008.06.006

Cited by 33 publications

(22 citation statements)

References 49 publications

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“…Recently, Miranda-Scippa et al [30] reported that estimated pituitary volumes using planimetric method in winter and summer seasons were 620.3 ± 130.5 mm 3 and 635.2 ± 146.2 mm 3 . The results of their study showed no difference in the pituitary volume of the healthy volunteers in winter or summer [30] In more recent studies, pituitary gland volume was estimated by some researches using planimetry method in healthy volunteers [2,[47][48][49][50] and their results ranged from 660 to 959 mm 3 . Our results are consistent with their findings.…”

Section: Discussionmentioning

confidence: 96%

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

et al. 2010

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Stereological techniques using point counting and planimetry have been used to estimate pituitary gland volume. However, many studies have estimated pituitary gland volume by the mathematical approach the elliptic formula. The objective of the current study was to determine pituitary gland volume using stereological methods and elliptic formula on magnetic resonance imaging (MRI). In this study, pituitary gland volumes were estimated in a total of 28 subjects (22 females, 6 males,) who were free of any pituitary or neurological symptoms and signs. The mean ± SD pituitary gland volumes for the point counting, planimetry and elliptic formulae groups were 582.14 ± 140.16 mm³, 610.08 ± 133.17 mm³, and 432.82 ± 147.38 mm³, respectively. The mean CE for the pituitary gland volume estimates derived from the point counting technique was 8.07%. No significant difference was found between point counting and planimetric methods for the pituitary gland volume (P > 0.05). In addition, there was a 26.14 and 29.71% underestimation of pituitary volume as measured by the elliptic formula compared to the point counting and planimetric techniques, respectively. From these results, it can be concluded that stereological techniques are unbiased, efficient and reliable methods and are ideally suitable for in vivo examination of MRI data for pituitary gland volume estimation. Hence, we suggest that estimating pituitary gland volume using MRI study and stereology may be clinically relevant for pituitary surgeons for the investigation of the structure and function of the pituitary gland.

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Section: Discussionmentioning

confidence: 96%

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

et al. 2010

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“…Five ROI manual-tracing studies from this cohort have already been published (Takahashi et al, 2009(Takahashi et al, , 2010a(Takahashi et al, , 2010bLorenzetti et al, 2010;Lorenzetti et al, 2009), but the present study is the first whole-brain analysis on this sample.…”

Section: Participantsmentioning

confidence: 99%

Cortico-limbic network abnormalities in individuals with current and past major depressive disorder

Klauser

Fornito

Lorenzetti

et al. 2015

Journal of Affective Disorders

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“…This particularly occurs when individuals are confronted with chronically stressful conditions that cannot be controlled or predicted [14,44]. Observations from neuroimaging studies in humans have clearly indicated that brain region specific functional and structural changes in patients with mood disorders [6,[16][17][18] are similar to the brain changes observed following stress. The prefrontal cortex seems to have a decreased activity in severely depressed patients, which coincides with impaired decision-making and higher propensity to act on negative emotional valence resulting in suicidal behavior [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Rodent models of social stress and neuronal plasticity: Relevance to depressive-like disorders

Patel

Kas

Chattarji

et al. 2019

Behavioural Brain Research

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A B S T R A C TExposure to severe or persistent social stress may lead to the development of psychiatric disorders such as anxiety and depression. These mood disorders are associated with structural alterations of neural architecture in limbic brain regions that control emotion, mood and cognition. Structural remodeling may either be a sign of successful adaptation, or of failure to do so. In neuropsychiatric disorders like depression structural remodeling involves apoptosis, reduced neurogenesis, and structural remodeling of neuronal dendrites which most likely reflects the latter. Here we review key findings from animal models of psychosocial stress that have been used to gain insights into the relation between stress-related behavioral disorders like depression and structural plasticity. Specifically, we focus on models having a high face validity like social defeat stress in the resident-intruder paradigm and chronic stress of social subordination in social housing conditions. Moderate to severe social stress appears to stimulate plasticity and neuronal growth in regions of the amygdala, whereas the effects in the hippocampus and prefrontal cortex tend to be opposite. A major focus of the current review is to characterize social stress induced structural changes in these brain regions, aiming to provide insight in pathways and factors that underlie behavioral effects of stress and depression.

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Pituitary gland volume in currently depressed and remitted depressed patients

Cited by 33 publications

References 49 publications

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

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

Cortico-limbic network abnormalities in individuals with current and past major depressive disorder

Rodent models of social stress and neuronal plasticity: Relevance to depressive-like disorders

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