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Brain Imaging and Behavior|November 23, 2022
Automatic diagnosis of late-life depression by 3D convolutional neural networks and cross-sample Entropy analysis from resting-state fMRIChemin Lin, Shwu-Hua Lee, Chih-Mao Huang, et al.
Biotechnology Letters|January 27, 2011
Lipopolysaccharide-stimulated activation of murine DC2.4 cells is attenuated by n-butylidenephthalide through suppression of the NF-κB pathwayRu-Huei Fu, Horng-Jyh Hran, Ching-Liang Chu, et al.
Frontiers in Human Neuroscience|December 17, 2020
Think Hard or Think Smart: Network Reconfigurations After Divergent Thinking Associate With Creativity PerformanceHong-Yi Wu, Bo-Cheng Kuo, Chih-Mao Huang, et al.
Frontiers in Aging Neuroscience|September 5, 2022
The multi-domain exercise intervention for memory and brain function in late middle-aged and older adults at risk for Alzheimer's disease: A protocol for Western-Eastern Brain Fitness Integration Training trialYu-Kai Chang, Kirk I Erickson, Sarah L Aghjayan, et al.
Journal of Neuroscience Methods|March 30, 2010
Study-specific EPI template improves group analysis in functional MRI of young and older adultsChih-Mao Huang, Shwu-Hua Lee, Ing-Tsung Hsiao, et al.
Journal of Affective Disorders|March 15, 2019
Increased brain entropy of resting-state fMRI mediates the relationship between depression severity and mental health-related quality of life in late-life depressed elderlyChemin Lin, Shwu-Hua Lee, Chih-Mao Huang, et al.
Poultry Science|November 19, 2023
Drp1 regulated PINK1-dependent mitophagy protected duck follicular granulosa cells from acute heat stress injuryChen Yang, Pei Luo, You-Tian Yang, et al.
Animal Science Journal = Nihon Chikusan Gakkaiho|July 12, 2023
Heat enhances the inhibitory effect of lipopolysaccharide on duck granulosa cell proliferation and steroid biosynthesis in vitroPei Luo, Xue-Bing Huang, Xiao-Zhi Zhan, et al.
Nanoscale|April 4, 2018
A 3D interconnected NH4Fe0.6V2.4O7.4@C nanocomposite with superior sodium storage propertiesZhenmin Xiong, Lei Chen, Long Zhao, et al.
Psychological Medicine|May 16, 2025
Classification of internet addiction using machine learning on electroencephalography synchronization and functional connectivityHsu-Wen Huang, Po-Yu Li, Meng-Cin Chen, et al.
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