Article
Engineering, Geological
Feng Xiong, Hao Sun, Qihua Zhang, Yongyu Wang, Qinghui Jiang
Summary: This study examines how the connectivity of a three-dimensional discrete fracture network (DFN) can be used to predict flow channelization. The results show that T- and X-intersections play a crucial role in preferential flow and a method to measure flow channeling was developed. It was found that the degree of flow channeling decreases as network density increases. An explicit formula for predicting flow channeling was proposed and shown to be more reliable than existing models.
ENGINEERING GEOLOGY
(2022)
Article
Cell Biology
Jun-Jie Sun, Xue-Qun Pan, Ru Yang, Zhi-Shuai Jin, Yi-Hui Li, Jun Liu, Da-Xing Wu
Summary: This study identified decreased centrality values in motor brain areas in individuals with congenital amusia, indicating potential alterations in the auditory-sensory motor feedback network. A significant positive correlation was found between centrality values and Montreal Battery of Evaluation of Amusia scores. The findings suggest that sensorimotor coupling is important in memory and musical discrimination.
NEURAL REGENERATION RESEARCH
(2021)
Article
Neurosciences
Shoji Tanaka, Eiji Kirino
Summary: The primary role of auditory cortical areas is to process actual sounds, but this study found that these areas are also activated during imagined music performance, suggesting their involvement in musical imagery. Functional connectivity analysis revealed a significant enhancement in the auditory network during imagined music performance, with increased connectivity to brain regions associated with cognitive, memory, and emotional information processing.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Yifu Zeng, Xiangshu Qi, Weiping Yang, Jiatao Li, Nian Pan, Guo Chen
Summary: In recent years, the widespread availability of Wi-Fi has become increasingly prevalent in various settings. This paper aims to analyze student social behavior using data from a Chinese university's wireless campus network. It introduces a novel algorithm, MA-STS, to infer intimacy and relationship types between users. The experiments show an accuracy of over 95% for the proposed algorithm.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2023)
Article
Neurosciences
Dominik Andreas Moser, Mihai Dricu, Raviteja Kotikalapudi, Gaelle Eve Doucet, Tatjana Aue
Summary: Research has shown that optimism biases are linked to brain structure and function, as well as resting-state functional connectivity (RSFC). The study also found that optimism biases are associated with reduced integration of the default mode network, reduced integration of the central executive and salience networks, and reduced segregation between the default mode network and the central executive network.
HUMAN BRAIN MAPPING
(2021)
Article
Neurosciences
Radek Ptak, Elena Pedrazzini
Summary: The right temporoparietal junction (rTPJ) and insula both play important roles in processing relevant stimuli, with damage to the rTPJ leading to increased attentional capture by relevant distracters. Functional connectivity analyses show a positive association between the degree of capture and a functional connection between the insula and rTPJ, along with functional isolation of the rTPJ from the right dorsal prefrontal cortex (dPFC).
Article
Construction & Building Technology
Jinghua Song, Abudureheman Abuduwayiti, Zhonghua Gou
Summary: This study quantifies the impact of the metro network on urban spatial structure in Wuhan and finds that subway construction significantly improves connectivity and accessibility, but has a weaker effect on polycentricity.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Neurosciences
Emmanuelle Bellot, Etienne Abassi, Liuba Papeo
Summary: Representing multiple agents and their mutual relations is essential for understanding social events. Visual areas dedicated to body form and motion perception play a crucial role in processing social events by maintaining the representation of multiple moving bodies and encoding the spatial relations between them. This study demonstrates that perception of body postures and movements in social interactions is influenced by visuospatial cues, promoting functional integration and enhancing the representation of body and body motion.
Article
Biodiversity Conservation
Donghai Zhang, Honghong Ren, Peijun Sun, Peiqing Jing, Bin Guo
Summary: The extraction of ecological sources and delineation of ecological corridors in the Yanhe River Basin require a unique approach due to the fragmented nature of patches and rapid vegetation recovery. A multidimensional evaluation framework and a three-dimensional ecological adaptability cycle model were used to successfully extract ecological sources and delineate ecological corridors.
ECOLOGICAL INDICATORS
(2023)
Article
Agronomy
Genmei Wang, Jie Chen, Yiyong Zhu
Summary: This study examined the effects of organic matter addition on bacterial community composition in perennial plant rhizosphere. The results showed that organic inputs increased diversity and network stability in the Populus rhizosphere, promoting species coexistence. Different types of organic matter had significant effects on microbial community composition, enhancing network complexity.
Article
Mathematical & Computational Biology
Yahia Madkhali, Norah Aldehmi, Frank Pollick
Summary: Neuroimaging researchers localize motor regions in the brain and investigate changes in their activity under various conditions using functional MRI (fMRI). This study tested the reliability of five different localizers and found that they can be effective for real-time fMRI neurofeedback research.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2022)
Article
Psychology, Clinical
Deokjong Lee, Junghan Lee, Kee Namkoong, Young-Chul Jung
Summary: The study aimed to investigate the characteristics of attention networks in problematic social network users, and found differences in their functional connectivity, with stronger connections in the dorsal attention network compared to controls, and no significant differences in the ventral attention network. Additionally, the usage times on social networking platforms significantly predicted the strength of attention network connections.
ADDICTIVE BEHAVIORS
(2021)
Article
Engineering, Civil
Li Li, Can Zhao, Xiao Wang, Zhiheng Li, Long Chen, Yisheng Lv, Nan-Ning Zheng, Fei-Yue Wang
Summary: This study focuses on improving driving safety of autonomous vehicles by setting up a set of decision rules. Three essential design principles are summarized, and a nine-step communication-decision model is established. The decision rules aim to be ambiguity-free and readily computable to facilitate understanding between human drivers and autonomous vehicles.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Neurosciences
Lei Cao, Linlin Ye, Huanxin Xie, Yichen Zhang, Weiqun Song
Summary: Visual-spatial attention disorder after stroke has a significant impact on recovery and quality of life in stroke patients. Rapid recovery from the disorder is associated with changes in brain networks.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Psychiatry
Haiyan Xie, Qinger Guo, Jinfeng Duan, Xize Jia, Weihua Zhou, Haozhe Sun, Ping Fang, Hong Yang
Summary: This study found disrupted causal connectivity among the salience network (SN), default mode network (DMN), and central executive network (CEN) in drug-naive first-episode MDD patients. Particularly, the right anterior insula (rAI) may play a unique role in ordered or hierarchical information processing, presumed to include bottom-up and top-down reciprocal influences among the three networks in MDD.
FRONTIERS IN PSYCHIATRY
(2022)
Review
Neurosciences
David A. Bridwell, James F. Cavanagh, Anne G. E. Collins, Michael D. Nunez, Ramesh Srinivasan, Sebastian Stober, Vince D. Calhoun
FRONTIERS IN HUMAN NEUROSCIENCE
(2018)
Article
Neurosciences
Jennifer Wu, Franziska Knapp, Steven C. Cramer, Ramesh Srinivasan
JOURNAL OF NEUROPHYSIOLOGY
(2018)
Review
Clinical Neurology
Paul L. Nunez, Michael D. Nunez, Ramesh Srinivasan
Article
Neurosciences
Lauren Shreve, Arshdeep Kaur, Christopher Vo, Jennifer Wu, Jessica M. Cassidy, Andrew Nguyen, Robert J. Zhou, Thuong B. Tran, Derek Z. Yang, Ariana Medizade, Bharath Chakravarthy, Wirachin Hoonpongsimanont, Erik Barton, Wengui Yu, Ramesh Srinivasan, Steven C. Cramer
JOURNAL OF STROKE & CEREBROVASCULAR DISEASES
(2019)
Article
Neurosciences
Michael D. Nunez, Aishwarya Gosai, Joachim Vandekerckhove, Ramesh Srinivasan
Article
Neurosciences
Lucas S. Baltzell, Ramesh Srinivasan, Virginia Richards
Article
Clinical Neurology
Jessica M. Cassidy, Anirudh Wodeyar, Jennifer Wu, Kiranjot Kaur, Ashley K. Masuda, Ramesh Srinivasan, Steven C. Cramer
Article
Neurosciences
Anirudh Wodeyar, Ramesh Srinivasan
Summary: Structural connectivity provides crucial support for communication between neural populations, and measures of partial coherence can reflect this structural connectivity. We developed a new method, the adaptive graphical lasso, to fit partial coherence and infer the influence of structural connectivity on it, thereby recovering network structure.
NETWORK NEUROSCIENCE
(2022)
Article
Multidisciplinary Sciences
Hirokatsu Shimizu, Ramesh Srinivasan
Summary: Decoding brain activity related to specific tasks, such as imagining something, is important for brain computer interface control. This study aimed to develop methods for improving training, performance, and interpretation of brain data. The results showed that brain activity during the visual task was present in the imagination task and could be used to improve classification of the imagined image. By using an attention module, spatial weights in each frequency band could be derived, allowing for spatial or frequency importance comparison between tasks. The combination of data sets in training also improved classification of the imagination task without significantly changing performance in the visual task.
Proceedings Paper
Computer Science, Artificial Intelligence
Qinhua Jenny Sun, Khuong Vo, Kitty Lui, Michael Nunez, Joachim Vandekerckhove, Ramesh Srinivasan
Summary: In this study, a SincNet-based neural network architecture was successfully used to fit the Drift-Diffusion model and predict cognitive parameters of decision making using EEG signals. Single-trial estimates of drift and boundary parameters performed better than median estimates in predicting response times, indicating the model's ability to accurately estimate meaningful single-trial Diffusion model parameters. Additionally, the shallow SincNet architecture identified time windows and EEG frequency bands related to evidence accumulation and caution within each participant.
2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
(2022)
Article
Neurosciences
Jessica M. Cassidy, Anirudh Wodeyar, Ramesh Srinivasan, Steven C. Cramer
Summary: This study examined the predictive performance of neural oscillations derived from electroencephalography following stroke using a data-driven approach. It found that coherence in specific frequency bands and regions significantly predicted motor recovery, with contributions from beta and alpha frequency bands and frontal, parietal, and temporal-parietal regions. However, electroencephalography power, baseline motor status, and corticospinal tract injury did not significantly predict motor recovery during hospitalization.
HUMAN BRAIN MAPPING
(2021)
Article
Neurosciences
Anirudh Wodeyar, Jessica M. Cassidy, Steven C. Cramer, Ramesh Srinivasan
NETWORK NEUROSCIENCE
(2020)
Article
Clinical Neurology
Fareshte Erani, Nadezhda Zolotova, Benjamin Vanderschelden, Nima Khoshab, Hagop Sarian, Laila Nazarzai, Jennifer Wu, Bharath Chakravarthy, Wirachin Hoonpongsimanont, Wengui Yu, Babak Shahbaba, Ramesh Srinivasan, Steven C. Cramer
Article
Neurosciences
Javier O. Garcia, Arian Ashourvan, Steven M. Thurman, Ramesh Srinivasan, Danielle S. Bassett, Jean M. Vettel
NETWORK NEUROSCIENCE
(2020)
Proceedings Paper
Engineering, Biomedical
Xi Gao, Weining Shen, Chee-Ming Ting, Steven C. Cramer, Ramesh Srinivasan, Hernando Ombao
2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019)
(2019)
