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Resting-state cerebral blood flow and functional connectivity abnormalities in depressed patients with childhood maltreatment: Potential biomarkers of vulnerability?
Liu, Sangni; Fan, Dandan; He, Cancan; Liu, Xinyi; Zhang, Haisan; Zhang, Hongxing; Zhang, Zhijun; Xie, Chunming.
Affiliation
  • Liu S; Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.
  • Fan D; Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.
  • He C; Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.
  • Liu X; Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.
  • Zhang H; Psychology School of Xinxiang Medical University, Xinxiang, China.
  • Zhang H; Department of Psychiatry, Henan Provincial Mental Hospital, Xinxiang Medical University, Xinxiang, China.
  • Zhang Z; Xinxiang Key Laboratory of Multimodal Brain Imaging, Henan Provincial Mental Hospital, Xinxiang Medical University, Xinxiang, China.
  • Xie C; Psychology School of Xinxiang Medical University, Xinxiang, China.
Psychiatry Clin Neurosci ; 78(1): 41-50, 2024 Jan.
Article in En | MEDLINE | ID: mdl-37781929
ABSTRACT

AIM:

Childhood maltreatment (CM) is an important risk factor for major depressive disorder (MDD). This study aimed to explore the specific effect of CM on cerebral blood flow (CBF) and brain functional connectivity (FC) in MDD patients.

METHODS:

A total of 150 subjects were collected including 55 MDD patients with CM, 34 MDD patients without CM, 19 healthy controls (HC) with CM, and 42 HC without CM. All subjects completed MRI scans and neuropsychological tests. Two-way analysis of covariance was used to detect the main and interactive effects of disease and CM on CBF and FC across subjects. Then, partial correlation analyses were conducted to explore the behavioral significance of altered CBF and FC in MDD patients. Finally, a support vector classifier model was applied to differentiate MDD patients.

RESULTS:

MDD patients represented increased CBF in bilateral temporal lobe and decreased CBF in right visual cortex. Importantly, significant depression-by-CM interactive effects on CBF were primarily located in the frontoparietal regions, including orbitofrontal cortex (OFC), lateral prefrontal cortex (PFC), and parietal cortex. Moreover, significant FC abnormalities were seen in OFC-PFC and frontoparietal-visual cortex. Notably, the abnormal CBF and FC were significantly associated with behavioral performance. Finally, a combination of altered CBF and FC behaved with a satisfactory classification ability to differentiate MDD patients.

CONCLUSIONS:

These results highlight the importance of frontoparietal and visual cortices for MDD with CM experience, proposing a potential neuroimaging biomarker for MDD identification.
Subject(s)
Key words

Full text: 1 Database: MEDLINE Main subject: Depressive Disorder, Major Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Psychiatry Clin Neurosci Journal subject: NEUROLOGIA / PSIQUIATRIA Year: 2024 Type: Article Affiliation country: China

Full text: 1 Database: MEDLINE Main subject: Depressive Disorder, Major Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Psychiatry Clin Neurosci Journal subject: NEUROLOGIA / PSIQUIATRIA Year: 2024 Type: Article Affiliation country: China