Jingyu Liu

Jan 14, 2025 | biorxiv.org | qiang li |Jingyu Liu |Godfrey Pearlson |Jiayu Chen

AbstractPsychotic disorders, such as schizophrenia and bipolar disorder, pose significant diagnostic challenges with major implications on mental health. The measures of resting-state fMRI spatiotemporal complexity offer a powerful tool for identifying irregularities in brain activity. To capture global brain connectivity, we employed information-theoretic metrics, overcoming the limitations of pairwise correlation analysis approaches.

Jul 30, 2024 | nature.com | Zening Fu |Jingyu Liu

AbstractChildren’s brains dynamically adapt to the stimuli from the internal state and the external environment, allowing for changes in cognitive and mental behavior. In this work, we performed a large-scale analysis of dynamic functional connectivity (DFC) in children aged 9~11 years, investigating how brain dynamics relate to cognitive performance and mental health at an early age.

Jun 3, 2024 | analyticalsciencejournals.onlinelibrary.wiley.com | Jingyu Liu |Jie Huang |Xi-Ao Wang |Xiaoyan Zhang

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Nov 5, 2023 | nature.com | Zening Fu |Jingyu Liu

AbstractBrain functional connectivity (FC) derived from functional magnetic resonance imaging has been serving as a potential ‘fingerprint’ for adults. However, cross-scan variation of FC can be substantial and carries biological information, especially during childhood. Here we performed a large-scale cross-sectional analysis on cross-scan FC stability and its associations with a diverse range of health measures in children.

Jul 26, 2023 | mdpi.com | Jingyu Liu |Youxi Wu |Yong Zheng |Xiaoqin Fan

Open AccessArticlebyJingyu Liu 1, Xiaoqin Fan 1, Youxi Wu 1, Yong Zheng 2 and Lu Liu 3,* 1School of Artificial Intelligence, Hebei University of Technology, Tianjin 300400, China2State Grid Energy Saving Service Co., Ltd., Beijing 100052, China3School of Computer Science, Beijing Institute of Technology, Beijing 100081, China*Author to whom correspondence should be addressed.