Article
Neurosciences
Jinpeng Niu, Zihao Zheng, Ziqi Wang, Longchun Xu, Qingmin Meng, Xiaotong Zhang, Liangfeng Kuang, Shigang Wang, Li Dong, Jianfeng Qiu, Qing Jiao, Weifang Cao
Summary: Recent studies have demonstrated age-related changes in the functional interactions between the thalamus and cerebral cortices, and these changes are associated with decreased fluid intelligence.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Multidisciplinary Sciences
Tsz Yan So, Man Yi Erica Li, Hakwan Lau
Summary: A novel method for assessing audience emotional responses to audiovisuals was introduced, involving observing heart rate variability synchrony among viewers and identifying emotionally arousing segments from the materials. This HRV synchrony approach was found to be more engaging than control methods, demonstrating its potential for audience psychology and creating short trailers from movies in a principled manner.
Article
Multidisciplinary Sciences
Anna Czepiel, Lauren K. Fink, Lea T. Fink, Melanie Wald-Fuhrmann, Martin Trondle, Julia Merrill
Summary: This study extends the study of perception of naturalistic stimuli to naturalistic contexts by assessing physiological synchrony across audience members in a concert setting. Results show that specific music features induce similar physiological responses across audience members in a concert context, which are linked to arousal, engagement, and familiarity. Additionally, faster tempi predict high physiological synchrony, particularly in Classical and Romantic styles, during important structural moments in the music.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Biomedical
Haoran Wang, Yaoru Sun, Fang Wang, Lei Cao, Wei Zhou, Zijian Wang, Shiyi Chen
Summary: The proposed IISMC method extracts subject-specific information and task-related information by maximizing the inter- and intra-subject correlation, improving the robustness of SSVEP recognition. Through efficient transfer learning, similar experiences are shared across subjects performing the same task, leading to better performance than the state-of-the-art TRCA method.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Neurosciences
David C. Jangraw, Emily S. Finn, Peter A. Bandettini, Nicole Landi, Haorui Sun, Fumiko Hoeft, Gang Chen, Kenneth R. Pugh, Peter J. Molfese
Summary: Recent fMRI research using inter-subject correlation analysis has provided new insights into the brain's response to video and audio narratives, particularly in the frontal regions. However, the influence of narrative on semantic processing in the brain and how it changes with reading ability remains largely unexplored. This study found that better readers showed more consistency in brain activity timecourses compared to worse readers. These differences were not detected with standard block activation analyses. The results suggest that inter-subject correlation analysis is a sensitive tool for studying reading disorders and expand our understanding of how reading ability is reflected in the brain.
Article
Neurosciences
Tysen Dauer, Duc T. Nguyen, Nick Gang, Jacek P. Dmochowski, Jonathan Berger, Blair Kaneshiro
Summary: The use of musical minimalism challenges listeners' expectations through small temporal and pitch deviations, prompting a hyper-detailed listening strategy. Research suggests that the inter-subject correlation (ISC) of EEG responses to natural audio-visual stimuli objectively indexes a state of engagement, providing insight into audience participation in music listening.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Mathematical & Computational Biology
Wenfei Ou, Wenxiu Zeng, Wenjian Gao, Juan He, Yufei Meng, Xiaowen Fang, Jingxin Nie
Summary: Recently, the movie-watching fMRI method has been used to explore brain working patterns. Researchers used sliding time windows technique and inter-Subject functional correlation (ISFC) analysis to find significant group differences in brain responses and functional connectivity between autism spectrum disorder (ASD) and typical development (TD) subjects. In movie events involving character emotions, the ASD group showed lower inter-Subject correlation (ISC) and decreased functional connectivity between large scale networks compared to TD. In movie events focusing on objects and scenes, the ASD group displayed strong synchronous response in the dorsal and ventral attentional networks, and increased functional connectivity between the frontoparietal network (FPN) and dorsal attention network (DAN), FPN and sensorimotor network (SMN) compared to TD.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
(2022)
Article
Plant Sciences
Jie Yin, Jittakon Ramanpong, Jin Chang, Chih-Da Wu, Pei-Hua Chao, Chia-Pin Yu
Summary: Contact with nature has numerous benefits for human health. While previous studies have focused on the positive effects of green spaces, there is limited and inconclusive evidence regarding the relationship between outdoor blue spaces and human health. This study found that green spaces can promote physiological relaxation and psychological restoration, while blue spaces have limited effects in comparison, mainly improving positive moods and mental restoration. However, incorporating water with other environments, such as green spaces and urban areas, can lead to significant relaxation effects.
URBAN FORESTRY & URBAN GREENING
(2023)
Article
Clinical Neurology
Chifaou Abdallah, Tanguy Hedrich, Andreas Koupparis, Jawata Afnan, Jeffrey Alan Hall, Jean Gotman, Francois Dubeau, Nicolas von Ellenrieder, Birgit Frauscher, Eliane Kobayashi, Christophe Grova
Summary: The study aimed to compare the accuracy of EEG/MEG and EEG/fMRI in localizing the SOZ and PIZ in drug-resistant epilepsy patients to improve surgical outcome prediction. The research found that both neuroimaging techniques provide complementary localization information that can guide SEEG implantation and select suitable candidates for surgery.
Article
Psychology, Mathematical
Moshe Glickman, Tal Sela, Marius Usher, Dino J. Levy
Summary: Individual differences in cognitive processing, particularly in the tendency for global versus local processing, have been extensively studied. However, it remains unclear whether these processing tendencies are correlated across different domains. To address this question, the study develops a novel method to quantify the tendencies and applies it to numerical cognition and preference tasks. The results show that the global/local tendencies extracted from both tasks are highly correlated, suggesting robust perceptual organization tendencies within an individual.
PSYCHONOMIC BULLETIN & REVIEW
(2023)
Article
Engineering, Aerospace
Jiang Wensong, Du Liangya, Luo Zai, Wang Zhongyu, Song Hao
Summary: This study proposes a weighted spectral cross-correlation (WSCC) method for impact localization in structures, overcoming the positioning problems caused by sparse reference points. The method uses a mathematical model with Fiber Bragg Grating (FBG) sensors to generate a database of frequency responses, and employs cross correlation and bicubic spline interpolation to identify the impact point. Experimental results demonstrate that the proposed method has significantly higher accuracy compared to traditional methods.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Agriculture, Multidisciplinary
Nan Wang, Yang Li, Lan Huang, Zhong-Yi Wang, Peng-Fei Zhao
Summary: A sparse Bayesian learning complex model based on spatial frequency correlation and multi-frequency electrical impedance tomography was proposed for fast nondestructive imaging of the growth trends in the root zone of plants. The technique could reduce imaging artifacts, generate higher reconstruction performance, and recreate the root zone's shape, size, and location.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Automation & Control Systems
Byung Kwan Oh, Woo Chan Jung, Hyo Seon Park
Summary: Buildings can deteriorate and suffer severe damage from unexpected loads such as earthquakes and typhoons. This study proposes an unsupervised damage identification method using a convolutional neural network trained exclusively with healthy state data. The discrepancy between healthy state data and output data from the CNN is used as damage indicators, and a correlation coefficient is utilized to quantitatively analyze the distribution of the indicators. By identifying the storey with the lowest correlation, the damage location can be determined. The validity of the method is examined through numerical and experimental studies.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Biochemistry & Molecular Biology
Clara U. Raithel, Alexander J. Miller, Russell A. Epstein, Thorsten Kahnt, Jay A. Gottfried
Summary: Research shows that humans can navigate olfactory landscapes by learning the spatial relationships among odor cues. fMRI data reveals the existence of a specialized olfactory grid network during olfactory navigation.
Article
Mathematics
Joao P. G. Ramos, Paolo Tilli
Summary: For certain special window functions psi alpha belonging to H2(C+), we prove that the optimal concentrations of the Wavelet transform W psi alpha with window psi alpha, over all sets Delta subset of C+ of fixed hyperbolic measure nu(Delta), are exactly the discs corresponding to the pseudo-hyperbolic metric of the upper half space. This resolves a question raised by Abreu and Dorfler in Abreu and Dorfler (Inverse Problems 28 (2012) 16). Our approach utilizes a framework recently developed by Nicola and Tilli in Nicola and Tilli (Invent. Math. 230 (2022) 1-30), but in the hyperbolic context induced by the dilation symmetry of the Wavelet transform. This necessitates the use of a hyperbolic rearrangement function and the hyperbolic isoperimetric inequality in our analysis.
BULLETIN OF THE LONDON MATHEMATICAL SOCIETY
(2023)