It has been difficult to find robust brain structural correlates of the overall severity of major depressive disorder (MDD). We hypothesized that specific symptoms may better reveal correlates and investigated this for the severity of insomnia, both a key symptom and a modifiable major risk factor of MDD. Cortical thickness, surface area and subcortical volumes were assessed from T1-weighted brain magnetic resonance imaging (MRI) scans of 1053 MDD patients (age range 13-79 years) from 15 cohorts within the ENIGMA MDD Working Group. Insomnia severity was measured by summing the insomnia items of the Hamilton Depression Rating Scale (HDRS). Symptom specificity was evaluated with correlates of overall depression severity. Disease specificity was evaluated in two independent samples comprising 2108 healthy controls, and in 260 clinical controls with bipolar disorder. Results showed that MDD patients with more severe insomnia had a smaller cortical surface area, mostly driven by the right insula, left inferior frontal gyrus pars triangularis, left frontal pole, right superior parietal cortex, right medial orbitofrontal cortex, and right supramarginal gyrus. Associations were specific for insomnia severity, and were not found for overall depression severity. Associations were also specific to MDD; healthy controls and clinical controls showed differential insomnia severity association profiles. The findings indicate that MDD patients with more severe insomnia show smaller surfaces in several frontoparietal cortical areas. While explained variance remains small, symptom-specific associations could bring us closer to clues on underlying biological phenomena of MDD.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723989 | PMC |
http://dx.doi.org/10.1038/s41398-020-01109-5 | DOI Listing |
Front Public Health
January 2025
The Third People's Hospital of Zhuhai, Zhuhai, Guangdong, China.
Objective: Workplace violence (WPV) poses a serious occupational risk. This study aims to explore the association between WPV from patients and the occurrence of insomnia, depression, and anxiety among healthcare workers.
Methods: Information about the WPV from patients was collected by a self-designed questionnaire.
Pain Manag Nurs
January 2025
School of Nursing, Shanghai Jiao Tong University, Shanghai, China. Electronic address:
Purpose: To translate the Central Sensitization Inventory from English into simplified Chinese (CSI-sC) and test the psychometric properties of the CSI-sC in patients with chronic pain.
Design: A cross-sectional design was used.
Methods: Cross-cultural adaptation of the CSI-sC was performed following Beaton's guidelines.
Nat Sci Sleep
January 2025
Department of Psychological Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, People's Republic of China.
Background: The incidence of insomnia in cancer patients is significantly higher than in the general population. Chronic insomnia imposes pronounced physical and psychological burdens on cancer patients, affecting their quality of life and survival rate. This study aims to investigate insomnia in cancer patients and further analyze potentially related factors.
View Article and Find Full Text PDFNat Sci Sleep
January 2025
Faculty of Psychology, Beijing Normal University, Beijing, 100875, People's Republic of China.
Purpose: In China, stringent and long-lasting infection control measures, which were called "dynamic zero-COVID policy", have significantly affected the mental health of college students, particularly concerning depressive and insomnia symptoms. This study aims to investigate how depressive and insomnia symptoms evolved among Chinese college students throughout the pandemic, including the beginning and end of the dynamic zero-COVID policy period.
Patients And Methods: We conducted a 2-years longitudinal survey involving 1102 college students, collecting data at three key time points.
J Clin Transl Sci
December 2024
College of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Introduction: Older age significantly increases risk for cognitive decline. A growing number of older adults (≥ 65 years) experience cognitive decline that compromises immediate and/or long-term health. Interventions to mitigate cognitive decline are greatly needed.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!