This study identifies energy inefficiency as a mechanism underlying brain state dysregulation in major depressive disorder, linking it to specific brain regions and biological factors.

Nature Mental Health · Feb 12, 2026Peer-reviewedNeuroscience

Digital Twin Brain Predicts rTMS Effects on Brain State Dynamics in Chronic Tinnitus

Jiaqi Zhang, Shuting Han, Yongcong Shen, Xiaojuan Wu, Yunshu Zhao, Zijia Wu, Na Luo, Zhengyi Yang, Deying Li, Ming Song, Peng Wu, Duo-Duo Tao, Jisheng Liu, Yonggang Li, Tianzi Jiang

This paper demonstrates that the Digital Twin Brain can predict rTMS effects on brain state dynamics in chronic tinnitus patients with high accuracy.

bioRxiv · Apr 27, 2025 · PreprintNeuroscience

Physical Activity and Depressive Mood Shared the Structural Connectivity between Motor and Reward Network: a population-based study from the UK Biobank

Shiqi Di, Na Luo, Weiyang Shi, Zhengyi Yang, Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you, Rongtao Jiang, Yue Julia Cui, Zongchang Du, Jiaqi Zhang, Yawei Ma, Haiyan Wang, Congying Chu, Yuejia Zhong, Wen Li, Yuheng Lu, , Tianzi Jiang

This study identifies a structural connectivity pattern shared between physical activity and depressive mood using UK Biobank data, linking it to neurotransmitter receptors and pathways.

bioRxiv · Mar 4, 2025 · PreprintNeuroscience

Macaque Brainnetome Atlas: A Multifaceted Brain Map with Parcellation, Connection, and Histology

Yuheng Lu, Yue Julia Cui, Long Cao, Zhenwei Dong, Luqi Cheng, Wen Wu, Changshuo Wang, Xinyi Liu, Youtong Liu, Baogui Zhang, Deying Li, Bokai Zhao, Haiyan Wang, Kaixin Li, Liang Ma, , Tianzi Jiang

The paper creates a macaque brain atlas using diffusion MRI data to map connectivity, parcellation, and histology, revealing structural differences between macaque and human brains.

中国科学通报：英文版 · Mar 14, 2024Peer-reviewedNeuroscience

FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA

Yue Julia Cui, Haibin Huang, Jialu Liu, Mingyang Zhao, Chengyi Li, Xinyong Han, Na Luo, Jinquan Gao, Dong-ming Yan A, Chen Zhang, Tianzi Jiang, Shan Ping Yu

This paper introduces FFCM-MRF, a cerebrovascular segmentation method for humans and rhesus monkeys, showing improved accuracy and generalizability across datasets and scanners.

Computers in Biology and Medicine · Jan 17, 2024Peer-reviewedNeuroscience

Structural brain architectures match intrinsic functional networks and vary across domains: A study from 15000+ individuals

Na Luo, Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you, Anees Abrol, Jiayu Chen, Jessica A. Turner, Eswar Damaraju, Zening Fu, Lingzhong Fan, Dongdong Lin, Chuanjun Zhuo, Yong Xu, David C. Glahn, Amanda Rodrigue, Marie T. Banich, Godfrey D. Pearlson, Vince D. Calhoun

This study identifies 45 structural-functional component maps across 9 functional domains using independent component analysis in two cohorts, showing varying S-F coherence in different brain regions.

Cerebral Cortex · Apr 27, 2020Peer-reviewedNeuroscience

Age-related Structural and Functional Variations in 5967 Individuals across the Adult Lifespan

Na Luo, Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you, Anees Abrol, Dongdong Lin, Jiayu Chen, Victor M. Vergara, Zening Fu, Yuhui Du, Eswar Damaraju, Yong Ji Xu, Jessica A. Turner, Vince D. Calhoun

This study analyzes age-related changes in brain structure and function across 5967 individuals from 13 to 72 years old, revealing nonlinear patterns in gray matter volume, structural network correlation, and functional network connectivity.

Human Brain Mapping · Dec 26, 2019Peer-reviewedNeuroscience