Development of a neural network-based risk prediction model for mild cognitive impairment in older adults with functional disability by Deyan Liu, Yuge Tian, Min Liu, Shangjian Yang

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Comprehensive characterization of the competitive endogenous RNA network revealing its immune-related functions in hepatic ischemia-reperfusion injury by Lirong Liu, Qi Wang, Shuang Qin, Chang Su, Xin Hai, Zhenkuan Yuan

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Human gut microbiome gene co-expression network reveals a loss in taxonomic and functional diversity in Parkinson’s disease by Rémy Villette, Polina V. Novikova, Cédric C. Laczny, Brit Mollenhauer, Patrick May, Paul Wilmes

“…Abstract Gut microbiome alterations are linked to various diseases, including neurodegeneration, but their ecological and functional impacts remain unclear. Using integrated multi-omics (metagenomics and metatranscriptomics), we analyse microbiome gene co-expression networks in Parkinson’s disease (PD) and healthy controls (HC). …”
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Capturing the Abnormal Brain Network Activity in Early Parkinsons Disease With Mild Cognitive Impairment Based on Dynamic Functional Connectivity by Guosheng Yi, Yanbo Wang, Liufang Wang, Chunguang Chu, Jiang Wang, Xiao Shen, Xiaoxuan Han, Zhen Li, Lipeng Bai, Zhuo Li, Rui Zhang, Yanlin Wang, Xiaodong Zhu, Chen Liu

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Multi-atlas ensemble graph neural network model for major depressive disorder detection using functional MRI data by Nojod M. Alotaibi, Areej M. Alhothali, Manar S. Ali

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Comparative Efficacy of <i>Antrodia cinnamomea</i> on Liver Function Biomarkers in Mice and Rats: A Network Meta-Analysis by Chien-Liang Kuo, Berne Ting, Ray Jui-Hung Tseng, Shih-Ping Liu, Jun-Yang Liou

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Multi-spatial urban function modeling: A multi-modal deep network approach for transfer and multi-task learning by Zhaoya Gong, Chenglong Wang, Bin Liu, Binbo Li, Wei Tu, Yuting Chen, Zhicheng Deng, Pengjun Zhao

“…A range of data-driven models based on the representation learning of multiple data sources have focused on extracting spatially explicit characteristics at the feature level for urban function inference. However, they commonly pay no attention to the systematic relationships between urban land-use and transportation as the core components of urban systems. …”
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Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening by Bo Wang, Muhammad Junaid, Wenjin Li

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Multi-frequency EEG and multi-functional connectivity graph convolutional network based detection method of patients with Alzheimer’s disease by Yujian Liu, Libing An, Haiqiang Yang, Shuzhi Sam Ge

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Refining the trophic diversity, network structure, and bottom‐up importance of prey groups for temperate reef fishes by S. Zarco‐Perello, S. Bennett, J. Goetze, T. H. Holmes, R. D. Stuart‐Smith, E. R. White

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Study on resting-state functional connectivity characteristics under hypnosis using functional near-infrared spectroscopy by Zhisong Zhang, Zhisong Zhang, Wanqiu Tan, Yuhong Ma, Min Zheng, Yuan Zhang, Jiaming Wei, Jiaming Wei, Yaozu Wang, Zhimeng Li, Zhifei Li, Roger C. Ho, Roger C. Ho

“…However, the mechanisms by which hypnosis influences brain activity and functional network connectivity remain unclear. This study employed functional near-infrared spectroscopy (fNIRS) to investigate resting-state functional connectivity (rsFC) under hypnosis.MethodsTwenty-six healthy college students participated in the study. …”
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Functional analysis within latent states: A novel framework for analysing functional time series data. by Owen Forbes, Edgar Santos-Fernandez, Paul Pao-Yen Wu, Kerrie Mengersen

“…Applying flawless to functional time series of power spectral densities from electroencephalography (EEG) data from the Healthy Brain Network, we explore functional characteristics of resting state brain activity in n = 503 early adolescents aged 9 - 15 ([Formula: see text], SD = 1.7). …”
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Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory by Sergei Manzhos, Johann Lüder, Pavlo Golub, Manabu Ihara

“…A hybrid Gaussian process regression—neural network method was used to understand the type of functional dependence of $\overline\tau$ on the features which contained cell-averaged terms of the 4th order gradient expansion and the product of the electron density and Kohn–Sham (KS) effective potential. …”
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Post-Concussion Syndrome and Functional Neurological Disorder: Diagnostic Interfaces, Risk Mechanisms, and the Functional Overlay Model by Ioannis Mavroudis, Foivos Petridis, Eleni Karantali, Alin Ciobica, Sotirios Papagiannopoulos, Dimitrios Kazis

“…Background: Post-concussion syndrome (PCS) and Functional Neurological Disorder (FND), including Functional Cognitive Disorder (FCD), are two frequently encountered but diagnostically complex conditions. …”
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The impact of EEG electrode density on the mapping of cortical activity networks in infants by Amirreza Asayesh, Sampsa Vanhatalo, Anton Tokariev

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Enhanced Reward Function Design for Source Term Estimation Based on Deep Reinforcement Learning by Junhee Lee, Hongro Jang, Minkyu Park, Hyondong Oh

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Reinforcement Learning-Based Formulations With Hamiltonian-Inspired Loss Functions for Combinatorial Optimization Over Graphs by Redwan Ahmed Rizvee, Raheeb Hassan, Md. Mosaddek Khan

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Development of Deep Learning Simulation and Density Functional Theory Framework for Electrocatalyst Layers for PEM Electrolyzers by Jaydev Zaveri, Shankar Raman Dhanushkodi, Michael W. Fowler, Brant A. Peppley, Dawid Taler, Tomasz Sobota, Jan Taler

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Meso-scale network analysis of resting state-fMRI brain network connectivity performs poorly as a prognostic tool in critically ill traumatic brain injury patients by Jonathan Tjerkaski, William H. Thompson, Bo-Michael Bellander, Eric P. Thelin, Peter Fransson

“…Prognostication is important in the management of critically ill traumatic brain injury (TBI) patients, as it may guide decisions on treatment intensity. Changes in functional connectivity that arise due to TBI have been observed in several brain networks using resting-state functional magnetic resonance imaging (rs-fMRI). …”
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Central alterations of brain networks in patients with optic neuritis: a resting state fMRI study by Liang Huang, Dan Song, Lei Zhong, Xuan Liao, Xian-Mei Zhou, Qian-Min Ge, Qian Ling, Yan-Mei Zeng, Xiao-Yu Wang, Jin-Yu Hu, Cheng Chen, Liang-Qi He, Qiong Zhou, Yi Shao

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