Neurovascular coupling abnormalities in first-episode drug-naïve major depressive disorder patients
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Major depressive disorder (MDD) is currently recognized as the most common and debilitating psychiatric disorder worldwide, while the pathophysiological mechanisms underlying MDD remain unclear. This study aims to investigate neurovascular coupling (NVC) alteration in MDD patients and its correlation with disease severity and sex. METHODS: Arterial spin labeling and blood-oxygen-level-dependent data were collected from 51 MDD patients and 51 healthy controls (HCs). Spatial and temporal correlations between the amplitude of low-frequency fluctuation (ALFF) and cerebral blood flow (CBF) were analyzed as NVC metrics. Differences between groups and subgroups, as well as correlations between ALFF-CBF coupling and clinical measurements, were explored. RESULTS: First, spatial correlations found that, compared to HCs, MDD patients showed reduced whole-brain ALFF-CBF coupling, with subgroup analysis revealing significant reductions in severe and female MDD patients. Second, temporal correlation analysis showed that, compared to HCs, moderate MDD patients demonstrated increased ALFF-CBF coupling in the left insula, whereas severe MDD patients showed reduced coupling in the left anterior cingulate cortex and increased coupling in the right superior occipital gyrus. In subgroup analysis, male MDD patients presented lower ALFF-CBF coupling in the left superior frontal orbital gyrus. Third, the spatial correlation of ALFF-CBF coupling in female MDD patients was negatively correlated with anxiety symptom scores. CONCLUSIONS: NVC decoupling reflects a potential neuropathological mechanism in MDD, with heterogeneous spatial-temporal patterns based on disease severity and sex.
Source: BMC Psychiatry
Authors: Shuyang Cai, Qinger Guo, Xiumei Wu, Yu Fang, Yafei Zhang, Weihua Zhou, Desheng Shang, Tao Chen, Yating Lv, Jinfeng Duan, Hong Yang
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,290
Award: 基于多源数据的抑郁症早期诊断和数字化治疗方案研究
OpenAlex ID: W4415913754
