All-fiber three-wavelength laser for functional photoacoustic microscopy by Mingxuan Yang, Zheng Qu, Mohammadreza Amjadian, Xu Tang, Jiangbo Chen, Lidai Wang

“…We use the all-fiber OR-PAM system to monitor the brain function for four hours, demonstrating exceptional stability in functional imaging. …”
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A click-based electrocorticographic brain-computer interface enables long-term high-performance switch scan spelling by Daniel N. Candrea, Samyak Shah, Shiyu Luo, Miguel Angrick, Qinwan Rabbani, Christopher Coogan, Griffin W. Milsap, Kevin C. Nathan, Brock A. Wester, William S. Anderson, Kathryn R. Rosenblatt, Alpa Uchil, Lora Clawson, Nicholas J. Maragakis, Mariska J. Vansteensel, Francesco V. Tenore, Nicolas F. Ramsey, Matthew S. Fifer, Nathan E. Crone

“…Single command click detectors provide a basic yet highly functional capability. Methods We sought to test the performance and long-term stability of click decoding using a chronically implanted high density electrocorticographic (ECoG) BCI with coverage of the sensorimotor cortex in a human clinical trial participant (ClinicalTrials.gov, NCT03567213) with amyotrophic lateral sclerosis. …”
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Temporal Lobe Epilepsy Perturbs the Brain‐Wide Excitation‐Inhibition Balance: Associations with Microcircuit Organization, Clinical Parameters, and Cognitive Dysfunction by Ke Xie, Jessica Royer, Raul Rodriguez‐Cruces, Linda Horwood, Alexander Ngo, Thaera Arafat, Hans Auer, Ella Sahlas, Judy Chen, Yigu Zhou, Sofie L. Valk, Seok‐Jun Hong, Birgit Frauscher, Raluca Pana, Andrea Bernasconi, Neda Bernasconi, Luis Concha, Boris C. Bernhardt

“…However, few studies investigate E/I imbalance at the macroscale, whole‐brain level, and its microcircuit‐level mechanisms and clinical significance remain incompletely understood. …”
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Assessing Causality Between Plasma Brain‐Derived Neurotrophic Factor With Major Depression Disorder: A Bidirectional Mendelian Randomization Study by Ming Chen, Hao‐Zhang Huang, Yi‐Hui Liu, Qiang Li, Lin‐Yan Fu, Cai‐Lan Hou

“…These findings prompt a re‐evaluation of plasma BDNF as a biomarker for MDD and emphasize the need for further investigation into its functional role within the plasma as well as its levels and activity in the brain and cerebrospinal fluid.…”
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A facile photonics reconfigurable memristor with dynamically allocated neurons and synapses functions by Zhenyu Zhou, Lulu Wang, Gongjie Liu, Yuchen Li, Zhiyuan Guan, Zixuan Zhang, Pengfei Li, Yifei Pei, Jianhui Zhao, Jiameng Sun, Yahong Wang, Yiduo Shao, Xiaobing Yan

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Preliminary study on the neural mechanisms of four tone recognition in deaf children using fMRI by Qiang Li, Yuan Meng, Qiuli Li, Heng Zhao, Shiyu Li

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Spiking dynamics of individual neurons reflect changes in the structure and function of neuronal networks by Ruochen Yang, Heng Ping, Xiongye Xiao, Roozbeh Kiani, Paul Bogdan

“…Abstract Brain networks exhibit diverse topological structures to adapt and support brain functions. …”
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Cerebral cortical functional hyperconnectivity in a mouse model of spinocerebellar ataxia type 8 (SCA8) by Angela K. Nietz, Laurentiu S. Popa, Russell E. Carter, Morgan L. Gerhart, Keerthi Manikonda, Laura P.W. Ranum, Timothy J. Ebner

“…It is difficult to elucidate how the disease alters brain function in areas with little or no degeneration producing both motor and cognitive symptoms. …”
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Deep Learning Model for Analyzing EEG Signal Analysis by Varun Gupta, Vivek Kumar, Prince, Saurabh Singh, Young-Seok Lee, In-Ho Ra

“…To analyze the physiological information within the acquired EEG signal is very cumbersome due to the possibility of several factors, viz. noise and artifacts, complexity of brain dynamics, and inter-subject variability. To address these issues, this paper compares a U-shaped encoder-decoder network (UNET) and Bat-based UNET signal analysis (BUSA) techniques to classify depression rates in the Electroencephalogram (EEG) datasets. …”
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Investigating resting-state functional connectivity of the human hand motor system: an offline TMS-fMRI study by Enrica Pierotti, Chiara Speranza, Luigi Cattaneo, Luca Turella

“…We showed significant decoding within a wide brain network comprising regions of the fronto-parietal motor pathways, of the ventral stream and within the cerebellum.Overall, our data provided novel insights on the connectivity patterns of the human hand motor network which compared favorably to the brain architecture described in monkeys, but with some species-specific features, advocating a similar crucial role of this network for hand action processing also in our species.…”
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Episode-specific cortical functional connectome reorganization and neurobiological correlates in bipolar disorder: a cross-sectional study by Xiaobo Liu, Bin Wan, Xi-Han Zhang, Ruifang Cui, Siyu Long, Ruiyang Ge, Lang Liu, Jinming Xiao, Zhen-Qi Liu, Jiadong Yan, Ke Xie, Meng Yao, Xin Wen, Sanwang Wang, Yujun Gao

“…Current evidence indicates alterations in brain functional connectivity in BD, yet a comprehensive understanding across all episodes remains incomplete. …”
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Neural Correlates of Flight Acceleration in Pigeons: Gamma-Band Activity and Local Functional Network Dynamics in the AId Region by Suchen Li, Zhuo Tang, Mengmeng Li, Lifang Yang, Zhigang Shang

“…Among various kinematic parameters, flight acceleration provides critical information for the brain to modulate movement intensity, speed, and direction. …”
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Tracking neural activity patterns during rapid high-altitude transitions by Ji-Yu Xie, Yi Zhang, Wei Shen, Liying Wu, Quanhao Yu, Zhen Lyu, Liangyuan Song, Rui Yang, Shuyi Ning, Wenwen Duan, Ying Li, Yimeng Liu, Xuemin Wang, Liping Chen, Jie Weng, Yonglan Du, Xiao Li, Taicheng Huang, Hailin Ma, Quansheng Gao, Haitao Wu, Ti-Fei Yuan

“…Extensive studies have observed human behavior and brain activity in a stable environment, but there is still a lack of understanding of how our brain's functional activity drives behavioral changes when the natural environment changes. …”
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Learning EEG Representations With Weighted Convolutional Siamese Network: A Large Multi-Session Post-Stroke Rehabilitation Study by Shuailei Zhang, Kai Keng Ang, Dezhi Zheng, Qianxin Hui, Xinlei Chen, Yang Li, Ning Tang, Effie Chew, Rosary Yuting Lim, Cuntai Guan

“…Although brain-computer interface (BCI) shows promising prospects to help post-stroke patients recover their motor function, its decoding accuracy is still highly dependent on feature extraction methods. …”
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A Distribution Adaptive Feedback Training Method to Improve Human Motor Imagery Ability by Yukun Zhang, Chuncheng Zhang, Rui Jiang, Shuang Qiu, Huiguang He

“…A brain-computer interface (BCI) based on motor imagery (MI) can translate users’ subjective movement-related mental state without external stimulus, which has been successfully used for replacing and repairing motor function. …”
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NeuroFlex: Feasibility of EEG-Based Motor Imagery Control of a Soft Glove for Hand Rehabilitation by Soroush Zare, Sameh I. Beaber, Ye Sun

“…Motor impairments resulting from neurological disorders, such as strokes or spinal cord injuries, often impair hand and finger mobility, restricting a person’s ability to grasp and perform fine motor tasks. Brain plasticity refers to the inherent capability of the central nervous system to functionally and structurally reorganize itself in response to stimulation, which underpins rehabilitation from brain injuries or strokes. …”
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Age-Related Changes in Action Observation EEG Response and Its Effect on BCI Performance by Fukang Zeng, Xingyu Wen, Hongmei Tang, Guiyu Hu, Wensheng Hou, Xin Zhang

“…We employed task discriminant component analysis (TDCA) to decode observed actions and performed comprehensive analyses of prefrontal EEG responses, i.e. approximate entropy (ApEn), sample entropy (SamEn), and rhythm power ratios (RPR), and the whole-brain functional network. …”
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A multi-modal dataset of electroencephalography and functional near-infrared spectroscopy recordings for motor imagery of multi-types of joints from unilateral upper limb by Weibo Yi, Jiaming Chen, Dan Wang, Xinkang Hu, Meng Xu, Fangda Li, Shuhan Wu, Jin Qian

“…Abstract As one of the important brain-computer interface (BCI) paradigms, motor imagery (MI) enables the control of external devices via identification of motor intention by decoding the features of Electroencephalography (EEG). …”
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Enhancing prosthetic hand control: A synergistic multi-channel electroencephalogram by Pooya Chanu Maibam, Dingyi Pei, Parthan Olikkal, Ramana Kumar Vinjamuri, Nayan M. Kakoty

“…In this manuscript, it is hypothesized that the coordinated and synchronized temporal patterns within the brain network, termed as brain synergy, contain valuable information to decode hand movements. 32-channel EEGs were acquired from 10 healthy participants during hand grasp and open. …”
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γ neuromodulations: unraveling biomarkers for neurological and psychiatric disorders by Zhong-Peng Dai, Qiang Wen, Ping Wu, Yan-Ni Zhang, Cai-Lian Fang, Meng-Yuan Dai, Hong-Liang Zhou, Huan Wang, Hao Tang, Si-Qi Zhang, Xiao-Kun Li, Jian-Song Ji, Liu-Xi Chu, Zhou-Guang Wang

“…Abstract γ neuromodulation has emerged as a promising strategy for addressing neurological and psychiatric disorders, particularly in regulating executive and cognitive functions. This review explores the latest neuromodulation techniques, focusing on the critical role of γ oscillations in various brain disorders. …”
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