Genetic analyses identify brain functional networks associated with the risk of Parkinson’s disease and drug-induced parkinsonism DOI Creative Commons
Lin Chen,

Ming-juan Fang,

Xuen Yu

et al.

Cerebral Cortex, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 31, 2024

Abstract Brain functional networks are associated with parkinsonism in observational studies. However, the causal effects between brain and remain unclear. We aimed to assess potential bidirectional associations 191 resting-state magnetic resonance imaging (rsfMRI) phenotypes including Parkinson’s disease (PD) drug-induced (DIP). used Mendelian randomization (MR) rsfMRI parkinsonism, followed by several sensitivity analyses for robustness validation. In forward MR analyses, we found that three genetically determined risk of parkinsonism. The connectivity visual network decreased PD (OR = 0.391, 95% CI 0.235 ~ 0.649, P 2.83 × 10−4, P_FDR 0.039). salience motor increased DIP 4.102, 1.903 8.845, 3.17 0.044). limbic default mode 14.526, 3.130 67.408, 6.32 0.0437). reverse analysis indicated had no effect on phenotypes. Our findings reveal relationships providing important interventional therapeutic targets different

Language: Английский

Large-scale functional network connectivity alterations in adolescents with major depression and non-suicidal self-injury DOI
Jiahua Zhang,

Dongpeng Wu,

Hongping Wang

et al.

Behavioural Brain Research, Journal Year: 2025, Volume and Issue: 482, P. 115443 - 115443

Published: Jan. 22, 2025

Language: Английский

Citations

0
Cortical microstructural alterations in different stages of Parkinson’s disease DOI
Xueqin Bai, Tao Guo, Xiaojun Guan

et al.

Brain Imaging and Behavior, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 27, 2024

Language: Английский

Citations

1
Genetic analyses identify brain functional networks associated with the risk of Parkinson’s disease and drug-induced parkinsonism DOI Creative Commons
Lin Chen,

Ming-juan Fang,

Xuen Yu

et al.

Cerebral Cortex, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 31, 2024

Abstract Brain functional networks are associated with parkinsonism in observational studies. However, the causal effects between brain and remain unclear. We aimed to assess potential bidirectional associations 191 resting-state magnetic resonance imaging (rsfMRI) phenotypes including Parkinson’s disease (PD) drug-induced (DIP). used Mendelian randomization (MR) rsfMRI parkinsonism, followed by several sensitivity analyses for robustness validation. In forward MR analyses, we found that three genetically determined risk of parkinsonism. The connectivity visual network decreased PD (OR = 0.391, 95% CI 0.235 ~ 0.649, P 2.83 × 10−4, P_FDR 0.039). salience motor increased DIP 4.102, 1.903 8.845, 3.17 0.044). limbic default mode 14.526, 3.130 67.408, 6.32 0.0437). reverse analysis indicated had no effect on phenotypes. Our findings reveal relationships providing important interventional therapeutic targets different

Language: Английский

Citations

0