1. Brain structural network alterations related to serum cortisol levels in drug-naïve, first-episode major depressive disorder patients: a source-based morphometric study
- Author
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Osamu Abe, Yukunori Korogi, Reiji Yoshimura, Koichiro Sugimoto, LeHoa Nguyen, Atsuko Ikenouchi, Takahiro Shinkai, Natsuki Igata, Keita Watanabe, Asuka Katsuki, and Shingo Kakeda
- Subjects
Adult ,Male ,medicine.medical_specialty ,Hypothalamo-Hypophyseal System ,Hydrocortisone ,Science ,Pituitary-Adrenal System ,behavioral disciplines and activities ,Article ,03 medical and health sciences ,0302 clinical medicine ,Medical research ,Internal medicine ,mental disorders ,medicine ,Psychology ,Humans ,In patient ,Gray Matter ,Cortisol level ,Morning ,First episode ,Cerebral Cortex ,Brain Mapping ,Depressive Disorder, Major ,Multidisciplinary ,business.industry ,Brain morphometry ,Brain ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,030227 psychiatry ,Drug-naïve ,Endocrinology ,Major depressive disorder ,Medicine ,Female ,business ,030217 neurology & neurosurgery ,Serum cortisol ,medicine.drug - Abstract
Higher cortisol levels due to a hyperactive hypothalamic–pituitary–adrenal axis have been reported in patients with major depressive disorder (MDD). Increased cortisol levels change both the brain morphology and function in MDD patients. The multivariate source-based morphometry (SBM) technique has been applied to investigate neuroanatomical changes in some neuropsychiatric diseases, but not MDD. We aimed to examine the alterations in gray matter (GM) networks and their relationship with serum cortisol levels in first-episode, drug-naïve MDD patients using SBM. Forty-two patients with MDD and 39 controls were recruited via interviews. Morning serum cortisol levels were measured, and high-resolution T1-weighted imaging followed by SBM analysis was performed in all participants. The patients had significantly higher serum cortisol levels than the controls. We found two GM sources, which were significantly different between patients with MDD and controls (prefrontal network, p
- Published
- 2020