Large-Scale Cortical Network Analysis and Classification of MI-BCI Tasks Based on Bayesian Nonnegative Matrix Factorization by Shiqi Yu, Bin Mao, Yuanhang Zhou, Yunhong Liu, Chanlin Yi, Fali Li, Dezhong Yao, Peng Xu, X. San Liang, Tao Zhang

“…Motor imagery (MI) is a high-level cognitive process that has been widely applied to clinical rehabilitation and brain-computer interfaces (BCIs). However, the decoding of MI tasks still faces challenges, and the neural mechanisms underlying its application are unclear, which seriously hinders the development of MI-based clinical applications and BCIs. …”
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Impaired theta and low-gamma directed information flow in the hippocampal-prefrontal circuit underlies working memory deficits in APP/PS1 mice by Hongrui Ai, Shengnan Zhang, Chengbo Si, Tiaotiao Liu, Xuyuan Zheng, Xin Tian, Wenwen Bai

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Histamine H3 receptor inverse agonists/antagonists influence intra-regional cortical activity and inter-regional synchronization during resting state: an exploratory cortex-wide im... by Sentaro Kaita, Yoshikazu Morishita, Kenta Kobayashi, Hiroshi Nomura

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HoRNS-CNN model: an energy-efficient fully homomorphic residue number system convolutional neural network model for privacy-preserving classification of dyslexia neural-biomarkers by Opeyemi Lateef Usman, Ravie Chandren Muniyandi, Khairuddin Omar, Mazlyfarina Mohamad, Ayoade Akeem Owoade, Morufat Adebola Kareem

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Dysregulated neural coding in the vagus nerve during long sepsis by Joshua J. Strohl, Tomás S. Huerta, Sergio Robbiati, Patricio T. Huerta

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Effector general representation of movement goals in human frontal and parietal cortex by Ziyi Duan, Marissa H. Evans, Bonnie Lawrence, Clayton E. Curtis

“…For effector-specific spatial coding, we compared brain regions that could decode target locations within each effector. …”
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Natural sounds can be reconstructed from human neuroimaging data using deep neural network representation. by Jong-Yun Park, Mitsuaki Tsukamoto, Misato Tanaka, Yukiyasu Kamitani

“…Although decoding visual content from functional MRI (fMRI) has seen significant success, reconstructing arbitrary sounds remains challenging due to the fine temporal structure of auditory signals and the coarse temporal resolution of fMRI. …”
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Evaluation of unsupervised learning algorithms for the classification of behavior from pose estimation data by Jakub Mlost, Rame Dawli, Xuan Liu, Ana Rita Costa, Iskra Pollak Dorocic

“…Summary: Analyzing animal behavior is crucial for decoding brain function, modeling neurological disorders, and assessing therapeutics. …”
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Optimizing the learning rate for adaptive estimation of neural encoding models. by Han-Lin Hsieh, Maryam M Shanechi

“…Closed-loop neurotechnologies often need to adaptively learn an encoding model that relates the neural activity to the brain state, and is used for brain state decoding. …”
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Enhancing classification of a large lower-limb motor imagery EEG dataset for BCI in knee pain patients by Chongwen Zuo, Yi Yin, Haochong Wang, Zhiyang Zheng, Xiaoyan Ma, Yuan Yang, Jue Wang, Shan Wang, Zi-gang Huang, Chaoqun Ye

“…Abstract Chronic knee osteoarthritis pain significantly impacts patients’ quality of life and motor function. While motor imagery (MI)-based brain-computer interface (BCI) systems have shown promise in rehabilitation, their application to lower-limb conditions, particularly in pain patients, is underexplored. …”
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EEG-Based Inverse Reinforcement Learning for Safety-Oriented Global Path Planning in Dynamic Environments by Hao Zhu, Jialin Wang, Rui Gao

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A toolbox for representational similarity analysis. by Hamed Nili, Cai Wingfield, Alexander Walther, Li Su, William Marslen-Wilson, Nikolaus Kriegeskorte

“…The key functions are equally applicable to other modalities of brain-activity measurement. …”
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Cortical hierarchies perform Bayesian causal inference in multisensory perception. by Tim Rohe, Uta Noppeney

“…Combining psychophysics, Bayesian modeling, functional magnetic resonance imaging (fMRI), and multivariate decoding in an audiovisual spatial localization task, we demonstrate that Bayesian Causal Inference is performed by a hierarchy of multisensory processes in the human brain. …”
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Importance of the early visual cortex and the lateral occipito-temporal cortex for the self-hand specific perspective process by Yuko Okamoto, Ryo Kitada, Takanori Kochiyama, Motohide Miyahara, Hiroaki Naruse, Norihiro Sadato, Hidehiko Okazawa, Hirotaka Kosaka

“…Visual self-body recognition is one of the fundamental cognitive functions, and a major contributor to social development. …”
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Directional hand movement can be classified from insular cortex SEEG signals using recurrent neural networks and high-gamma band features by Xiecheng Shao, Ryan S. Chung, Jonathon M. Cavaleri, Roberto Martin Del Campo-Vera, Miguel Parra, Shivani Sundaram, Selena Zhang, Ashwitha Surabhi, Ryan J. McGinn, Charles Y. Liu, Spencer S. Kellis, Brian Lee

“…Abstract Motor BCIs, with the help of Artificial Intelligence (AI) and machine learning, have shown promise in decoding neural signals for restoring motor function. …”
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Transition and dynamic reconfiguration in late-life depression based on hidden Markov model by Hairong Xiao, Caili Kang, Wei Zhao, Shuixia Guo

“…Hierarchical clustering further found a critical entry and exit point between two high-level meta-states with opposing activation patterns, highlighting large-scale network dysfunction and potential molecular mechanisms associated with late-life depression through the decoding of brain states.…”
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Uncovering narrative aging: an underlying neural mechanism compensated through spatial constructional ability by Yumeng Li, Junying Zhang, Xin Li, Zhanjun Zhang

“…The results indicated that narrative comprises macro and micro structures, with the macrostructure involving complex cognitive processes more relevant to aging. For the brain functional basis, brain hub nodes contributing to macrostructure were predominantly found in the angular gyrus and medial frontal lobe, while microstructure hub nodes were located in the supramarginal gyrus and middle cingulate cortex. …”
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Contributions of the multiple demand network to emergent and skilled reading by Anna Chrabaszcz, Kailee Lear, Corrine Durisko, Julie A. Fiez

“…Abstract Reading is an acquired skill that must engage brain networks initially evolved for other functions, integrating visual, language, and executive systems. …”
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MEA‐seqX: High‐Resolution Profiling of Large‐Scale Electrophysiological and Transcriptional Network Dynamics by Brett Addison Emery, Xin Hu, Diana Klütsch, Shahrukh Khanzada, Ludvig Larsson, Ionut Dumitru, Jonas Frisén, Joakim Lundeberg, Gerd Kempermann, Hayder Amin

“…Abstract Concepts of brain function imply congruence and mutual causal influence between molecular events and neuronal activity. …”
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Mind wandering in sensory cortices by Shao-Min Hung, Po-Jang Hsieh

“…The recent task-free approach in Cognitive Neuroscience has sparked interest in understanding the brain’s default mode network (DMN). One particular mental activity that has been identified to recruit such a network is mind-wandering, which points to the functional aspect of mind-wandering as a default system. …”
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