Prefrontal Cortical Volume in Childhood-Onset Major Depression

Nolan, Carla; Moore, Gregory J.; Madden, Rachel; Farchione, Tiffany; Bartoi, Marla; Lorch, Elisa; Stewart, Carol M.; Rosenberg, David

doi:10.1001/archpsyc.59.2.173

Cited by 119 publications

(57 citation statements)

References 79 publications

(88 reference statements)

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“…[13,14] This result explains some of the hereditary aspects of depression, thereby indicating the association of the neuroimaging findings with the risk factors on depression. [15,16] In a study on functional neuroimaging, there is a remarkable mood-down-regulation effect due to the increased task in the normal group with a family history of depression than in the normal group without a family history of depression. Furthermore, the activation of the amygdala significantly increased in the normal group with a family history of depression as compared to the other group.…”

Section: Prediction Of the Risk Factors On Depressionmentioning

confidence: 99%

The Effects of Psychotherapy on Brain Function — Major Depressive Disorder

Jeon¹,

Kim²

2015

Major Depressive Disorder - Cognitive and Neurobiological Mechanisms

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Section: Prediction Of the Risk Factors On Depressionmentioning

confidence: 99%

The Effects of Psychotherapy on Brain Function — Major Depressive Disorder

Jeon¹,

Kim²

2015

Major Depressive Disorder - Cognitive and Neurobiological Mechanisms

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“…On the University of Pittsburgh MR scanner a three dimensional SPGR acquisition in the steady state pulse sequence was utilized to obtain 1.5 mm coronal images (TE = 20 msec, TR = 40 msec, acquisition matrix = 256 x 192, FOV = 20 cm, flip angle = 10°). Image acquisition has been described in detail in our previous reports (Gilbert et al, 2000, MacMaster and Kusumakar, 2004a, MacMaster and Kusumakar, 2004b, MacMaster et al, 2006, Nolan et al, 2002, Rosenberg et al, 1997, Szeszko et al, 2004a, Szeszko et al, 2004b. All MRI scans were reviewed to rule out any clinically significant abnormalities.…”

Section: Image Acquisition and Analysismentioning

confidence: 99%

Development and sexual dimorphism of the pituitary gland

et al. 2007

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The pituitary gland plays a central role in sexual development and brain function. Therefore, we examined the effect of age and gender on pituitary volume in a large sample of healthy children and adults. Volumetric magnetic resonance imaging (MRI) was conducted in one hundred and fifty four (77 males and 77 females) healthy participants. Males were between the ages of 7 to 35 years (16.91 ± 5.89 years) and females were 7 to 35 years of age (16.75 ± 5.75 years). Subjects were divided into subgroups of age (7 to 9, 10 to 13, 14 to 17, 18 to 21, 22 and older) and sex (male/female). Pituitary gland volume differed between sexes when comparing the age groups (F = 3.55, df = 2, 143, p = 0.03). Females demonstrated larger pituitary glands than males in the age 14 to 17 year old groups (p = 0.04). Young (19 years and under) and old (20 years and older) females demonstrated a correlation between pituitary volume and age. Males did not show this relationship. These findings provide additional evidence for gender differences in the normative anatomy of the pituitary and may have relevance for the study of various childhood onset neuropsychiatric disorders in which pituitary dysfunction has been implicated.

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“…Some morphometric studies reported white matter deficits in the frontolimbic (Steingard et al 2002) and temporal (Li et al 2007) regions. Region of interest (ROI) analyses displayed gray matter deficits in the hippocampus (MacMaster and Kusumaker 2004;Caetano et al 2007;Rao et al 2010) and prefrontal cortex (PFC; Nolan et al 2002) in depressed youngsters. Similarly, gray matter deficits in the hippocampus (Bremner et al 2000;Ballmaier et al 2004;Campbell et al 2004;Vasic et al 2008), orbitofrontal cortex (OFC; Lacerda et al 2003;Vasic et al 2008), dorsolateral prefrontal cortex (DLPFC; Vasic et al 2008), and cingulate gyrus (Vasic et al 2008;Zhou et al 2010) have been observed in adult subjects with MDD.…”

Section: Introductionmentioning

confidence: 99%

Gray Matter Differences Between Healthy and Depressed Adolescents: A Voxel-Based Morphometry Study

Shad

Muddasani

Rao

2012

Journal of Child and Adolescent Psychopharmacology

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Background: Major depressive disorder (MDD) frequently begins during adolescence and is associated with significant morbidity and mortality. However, little is known about the neurobiology of adolescent depression. A better understanding of the neurobiology will be helpful in developing more effective preventive and treatment interventions for this highly disabling illness. Methods: Using a voxel-based morphometric method, the study compared gray matter and white matter volumes in 22 adolescents with MDD and 22 age-and gender-matched normal controls. Results: Compared with controls, depressed adolescents had smaller gray matter volume in the frontal lobe and caudate nucleus bilaterally and right superior and middle temporal gyri. However, the groups did not differ significantly on white matter volume. Conclusions: These findings in depressed adolescents are consistent with the previous findings of gray matter abnormalities in frontolimbic areas and the striatum in depressed adults and suggest the presence of these structural changes at the onset of depressive illness.

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Prefrontal Cortical Volume in Childhood-Onset Major Depression

Abstract: These results provide new evidence of prefrontal cortical alterations in pediatric MDD that may differ in familial and nonfamilial subtypes of MDD. Our findings must be considered preliminary, however, in view of the small sample size.

Cited by 119 publications

References 79 publications

The Effects of Psychotherapy on Brain Function — Major Depressive Disorder

The Effects of Psychotherapy on Brain Function — Major Depressive Disorder

Development and sexual dimorphism of the pituitary gland

Gray Matter Differences Between Healthy and Depressed Adolescents: A Voxel-Based Morphometry Study

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