Major Depressive Disorder (MDD) is among the most prevalent of psychiatric disorders, affecting as many as 20% of the American population. Yet, the neurobiologic basis of this disorder has not been elucidated. Structural neuroimaging studies of depressed individuals have documented neuroanatomic abnormalities in subgenual prefrontal cortex (PFC), dorsal PFC, and amygdala, known components of emotion regulatory networks. Findings from this literature, however, are mixed, with some, but not all investigators reporting volumetric reductions in these structures. Further, it is possible that these abnormalities may relate to dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis, a neuroendocrine system that, when hyper- reactive as in MDD, results in high and likely neurotoxic levels of the glucocorticoid hormone, cortisol. The goal of this research is to assess abnormalities in brain structure and function in individuals diagnosed with MDD using structural MRI in conjunction with self-report measures, functional neuroimaging assessments, indicators of HPA-axis reactivity, and genotyping. Specific goals include (1) assessing whether there are regionally specific neuroanatomic abnormalities in MDD patients using newly developed tools for measuring gray matter thickness;and (2) examining associations among disease-specific alterations in brain structure, HPA-axis dysregulation, and activation level of the amygdala, a limbic structure that receives direct inhibitory cortical input. To achieve these objectives, all participants will undergo functional and structural neuroimaging. Structural MRI data will be processed to provide thickness measurements of cortical gray matter at each point along the cortical surface. To assess HPA-axis reactivity, salivary cortisol levels will be measured during the performance on a laboratory stress task. The association between cortical gray matter thickness and cortisol will be examined at each point along the cortical surface to assess whether structural integrity of cortical regions is, in part, dependent on HPA-axis dysregulation and, thus, whether it is related to susceptibility to becoming frequently hypercortisolemic. Additional analyses examining whether the interaction of brain structure and neuroendocrine function is influenced by genetic (serotonin transporter gene polymorphisms) and environmental (history of trauma) factors will be conducted using salivary DNA and self-report measures. Finally, to examine whether heightened amygdala activation in MDD individuals is related to cortical thickness, fMRI data will be processed to provide percent signal change in this region for use as a covariate for linkage with local gray matter distribution. Negative associations between these measures will be examined, and analyses will address whether regulation of the amygdala, and in a broader sense affect, is dependent on prefrontal gray matter integrity and on the inhibitory/executive functions that this prefrontal region subserves. This program of research will provide the applicant with training in several new methodologies, including the collection and interpretation of genetic, neuroendocrine, and event-related fMRI data, as well as in the diagnosis and clinical assessment of MDD.
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NIH ExPorter