501-03-006 ISMRM Abstract

Connectome-Based Predictive Modeling of Cognitive Function in Major Depressive Disorder: A Neuroimaging-Genetic Study

Primary: Brain Function and fMRI - Functional Connectivity

Secondary: Neuro - Psychiatric Disorders

501-03-006 · fMRI: Advanced Analysis · Wednesday, 13 May, 1:40 PM–3:30 PM · Hall 1A

Keywords: Functional Connectivity Genetics Cognition Predictive model Major depressive disorder

Accepted

Yuanyuan Li ¹, Xiqin Liu¹, Qiyong Gong¹

¹Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China

Presenting Author: Yuanyuan Li

Synopsis

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References

1. Ahern, E. and M. Semkovska, Cognitive Functioning in the First-Episode of Major Depressive Disorder: A Systematic Review and Meta-Analysis. Neuropsychology, 2017. 31(1): p. 52-72.

2. Hu, Y.B., et al., Memory and processing speed impairments in first-episode drug-na?ve patients with major depressive disorder. Journal of Affective Disorders, 2023. 322: p. 99-107.

3. Lee, R.S.C., et al., A meta-analysis of cognitive deficits in first-episode Major Depressive Disorder. Journal of Affective Disorders, 2012. 140(2): p. 113-124.

4. Fan, L.Z., et al., The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture. Cerebral Cortex, 2016. 26(8): p. 3508-3526.

5. Ben-Zion, Z., et al., Connectome-Based Predictive Modeling of PTSD Development Among Recent Trauma Survivors. Jama Network Open, 2025. 8(3).

6. Liu, Z.W., et al., Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results. Bioinformatics, 2019. 35(19): p. 3771-3778.

7. Xu, P.W., et al., Altered white matter topological network and cognitive function in patients with major depressive disorder. Psychiatry Research-Neuroimaging, 2025. 349.

8. Li, M.Y., et al., Cognitive processing speed and accuracy are intrinsically different in genetic architecture and brain phenotypes. Nature Communications, 2024. 15(1).

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/501-03-006