Article
Computer Science, Artificial Intelligence
Renee Johnston, Guillaume Doucet, Chadwick Boulay, Kai Miller, Julio Martinez-Trujillo, Adam Sachs
Summary: The study investigates the use of LFP signals from the macaque LPFC to decode eye-movement intention during the pre-movement fixation period, revealing its potential to decode intended saccade target location. The findings demonstrate the effectiveness of spectral dimensionality reduction and support vector machine classifications in decoding saccade goals.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2021)
Article
Chemistry, Multidisciplinary
Yixin Tian, Jiapeng Yin, Chengyao Wang, Zhenliang He, Jingyi Xie, Xiaoshan Feng, Yang Zhou, Tianyu Ma, Yang Xie, Xue Li, Tianming Yang, Chi Ren, Chengyu Li, Zhengtuo Zhao
Summary: Researchers have developed a mechanically robust ultraflexible electrode array, the MERF, for high-density, large-scale, and chronic recording of neurons in the nonhuman primate brain. The MERF array has shown promising results in basic neuroscience studies and brain-machine interface applications.
Article
Engineering, Biomedical
Jiarong Wang, Luzheng Bi, Weijie Fei, Kun Tian
Summary: This study discusses the limitations of the classic center-out paradigm in continuous hand movement decoding and proposes an improved paradigm to enhance decoding performance. An adaptive decoder-ensemble framework is developed for continuous kinematic parameter decoding. The results show that the improved paradigm and decoding framework significantly improve the correlation coefficients between predicted and recorded movement parameters.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Engineering, Biomedical
Renee Johnston, Mohamad Abbass, Benjamin Corrigan, Roberto Gulli, Julio Martinez-Trujillo, Adam Sachs
Summary: This study shows that multi-unit spiking activity recorded from the lateral prefrontal cortex (LPFC) of non-human primates can be used to predict the location of a subject in a virtual maze during a navigation task. The locations within the maze that require a choice or are associated with relevant task events can be better predicted. These findings suggest that the LPFC could be a valuable implant location for a brain-computer interface system used for spatial navigation in patients with disabilities.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Karthikeyan Balasubramanian, Fritzie I. Arce-McShane, Brian M. Dekleva, Jennifer L. Collinger, Nicholas G. Hatsopoulos
Summary: A spatiotemporal pattern of excitability propagates across the primary motor cortex prior to voluntary movements in non-human primates, and this pattern was also observed in a human participant during a wrist extension task. The propagation directions were bimodally distributed across the cortical sheet with opposite orientations, while the propagation speed was unimodally distributed and similar across tasks and species. The results suggest that this propagating pattern is a generic movement initiation signal that is invariant to kinematic or kinetic details.
Article
Engineering, Biomedical
Ishita Basu, Ali Yousefi, Britni Crocker, Rina Zelmann, Angelique C. Paulk, Noam Peled, Kristen K. Ellard, Daniel S. Weisholtz, G. Rees Cosgrove, Thilo Deckersbach, Uri T. Eden, Emad N. Eskandar, Darin D. Dougherty, Sydney S. Cash, Alik S. Widge
Summary: This study demonstrates that closed-loop electrical stimulation of the internal capsule can enhance cognitive control in participants with epilepsy. Decoding of task performance from electrode activity was also achieved. These findings have the potential to improve cognitive deficits in individuals with severe mental disorders.
NATURE BIOMEDICAL ENGINEERING
(2023)
Article
Computer Science, Information Systems
Hao Gu, Jian Wang, Fengyuan Jiao, Yan Han, Wang Xu, Xin Zhao
Summary: Brain-computer interfaces offer a promising solution for individuals with motor dysfunction, allowing them to perform essential activities and live independently. This study focused on decoding EEG signals during natural grasp tasks to control intelligent assistive devices. The results revealed lateralization in brain activity, with the frontal region associated with visual stimuli and the central and parietal regions playing a crucial role in motor execution. The overall average classification accuracy reached 80.3%.
Article
Chemistry, Analytical
Eleanor N. N. Jeakle, Justin R. R. Abbott, Joshua O. O. Usoro, Yupeng Wu, Pegah Haghighi, Rahul Radhakrishna, Brandon S. S. Sturgill, Shido Nakajima, Teresa T. D. Thai, Joseph J. J. Pancrazio, Stuart F. F. Cogan, Ana G. G. Hernandez-Reynoso
Summary: Implantable microelectrode arrays (MEAs) are used to record brain activity, but their long-term performance is often compromised. This study compared conventional silicon-based MEAs with ultra-thin amorphous silicon carbide (a-SiC) MEAs in rat models. The results showed that the a-SiC MEAs exhibited more stable performance over the 16-week period while the standard MEAs showed a decline in recording capabilities. These findings support the use of a-SiC MEAs for the development of reliable brain-machine interfaces.
Article
Materials Science, Multidisciplinary
Moon-Young Choi, Se-Um Kim, Hogyeong Kim, Kitae Kim, Mohsin Hassan Saeed, Srinivas Pagidi, Jun-Hee Na
Summary: This paper introduces a simple bilayer structure phase-change actuator that achieves 1D surface swelling, making it easy to construct a closely packed 2D array system. The lateral inflation of the actuator is suppressed by controlling the thickness ratio between the active and constraint layers. The independent actuation of individual units in the array system and their applications in beam steering and shape displays are investigated.
ADVANCED ENGINEERING MATERIALS
(2023)
Article
Neurosciences
Dong Il Choi, Myeongwon Kim, Somi Kim, Nam-Kyung Yu, Chuljung Kwak, Hyunhyo Seo, Kyungmin Lee, Bong-Kiun Kaang
Summary: CTCF is a transcription factor involved in chromatin structure organization, and reduced expression leads to distinct clinical features. In CTCF cKO mice, reactive gliosis of astrocytes and microglia followed by age-dependent neuronal death were observed. Cognitive impairment, particularly in dPAL touch screen tests, was found in these mice, indicating prolonged Ctcf gene deficiency results in cognitive deficits.
Article
Engineering, Biomedical
Xiang Shen, Xiang Zhang, Yifan Huang, Shuhang Chen, Zhuliang Yu, Yiwen Wang
Summary: Reinforcement-learning-based brain-machine interfaces have the potential for clinical applications by interpreting neural activity and movement intention. This study proposes a method to extract intermediate guidance from the medial prefrontal cortex and effectively assign credit for multi-step decoding tasks. The results show improved prediction accuracy and decoding performance compared to existing methods.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Jen-Jui Hsueh, Yan-Zhou Chen, Jia-Jin Chen, Fu-Zen Shaw
Summary: This study aimed to identify sources of training-induced alpha activity using different analytic techniques. The results showed that the precuneus, posterior cingulate cortex (PCC), and middle temporal gyrus were consistently involved in enhancing training-induced alpha activity. The max peak average (MPA) method had a better goodness of fit compared to other methods. These findings highlight the importance of the identified brain regions in modulating training-induced alpha activity.
Article
Engineering, Electrical & Electronic
Wim Bogaerts, Sarvagya Dwivedi, Roelof Jansen, Xavier Rottenberg, Marcus S. Dahlem
Summary: The chip-based optical beam scanner utilizes a dispersive optical phased array to illuminate the far field with a pixelated pattern. By breaking up the OPA into manageable blocks with dispersive delay lines, it enables the scaling up of antennas. The power distribution of individual OPA antennas can control the sidelobes and the power in the main lobe in the far-field illumination.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2021)
Article
Multidisciplinary Sciences
Keisuke Yunoki, Tatsunori Watanabe, Takuya Matsumoto, Takayuki Kuwabara, Takayuki Horinouchi, Kanami Ito, Haruki Ishida, Hikari Kirimoto
Summary: This study aimed to investigate the difference in cutaneous information processing between position and force tasks during static muscle contraction. The results demonstrated that the reduction of somatosensory evoked potentials (SEPs) amplitude was significantly larger in the force task, and the amplitude of cutaneomuscular reflex (CMR) was greater in the force task as well.
Review
Computer Science, Information Systems
Mohammad Taghi Ghodrati, Alavie Mirfathollahi, Vahid Shalchyan, Mohammad Reza Daliri
Summary: Brain-computer interfaces can help people with motor disorders regain their ability to communicate and interact with the environment. Most studies in this field focus on developing BCI systems to enhance or restore movement functionality, with fewer studies on hindlimb movements compared to forelimb movements. In this review, we examined studies on decoding hindlimb movement parameters using intracortical signals. The majority of these studies were conducted on animal subjects and focused on tasks such as walking on a treadmill. The position of hindlimb joints and gait phase were the most studied parameters. The effectiveness of using local field potentials and nonlinear decoders in hindlimb BCIs remains unanswered.
Article
Chemistry, Analytical
Xing Chen, Jing Chen, Hao Dong, Qiwen Yu, Shaomin Zhang, Hang Chen
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
(2019)
Article
Chemistry, Analytical
Jing Chen, Qiwen Yu, Wei Fu, Xing Chen, Quan Zhang, Shurong Dong, Hang Chen, Shaomin Zhang
Article
Neurosciences
Minmin Wang, Tao Feng, Hongjie Jiang, Junming Zhu, Wuwei Feng, Pratik Y. Chhatbar, Jianmin Zhang, Shaomin Zhang
Summary: This study investigated the effects of cranial electrical stimulation (CES) on the brain by measuring voltage changes and electric field distributions. The results showed that personalized simulation models can accurately predict CES-induced electric fields in adults and children, and that the intensity of stimulation and electrode configuration have significant effects on the electric fields.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Hayoung Jung, Xin Cui, Ha Lim Kim, Mingkang Li, Changhao Liu, Shaomin Zhang, Xiaopeng Yang, Linqing Feng, Heecheon You
Summary: This study developed an ergonomic user interface design for an optical brain-machine interface system. The usability testing results showed that the ergonomic UI design significantly improved task completion time, scan path length, perceived workload, and satisfaction in data acquisition and signal-extraction tasks. The study highlights the importance of user-centered design in the development of neuroscience research systems.
APPLIED SCIENCES-BASEL
(2022)
Article
Materials Science, Multidisciplinary
Yi Zheng, Yangdong Wang, Fan Zhang, Shaomin Zhang, Kiryl D. Piatkevich, Nanjia Zhou, Jonathan K. Pokorski
Summary: PEDOT:PSS is a promising material with broad applications in energy storage, flexible electronics, and bioelectronics. A 3D printing method using a room-temperature coagulation bath-based direct ink writing technique is reported, allowing for high quality parts with stable performance. The mechanical properties of the printed parts can be improved by modifying the coagulation bath.
ADVANCED MATERIALS TECHNOLOGIES
(2022)
Article
Neurosciences
Mingkang Li, Changhao Liu, Xin Cui, Hayoung Jung, Heecheon You, Linqing Feng, Shaomin Zhang
Summary: In this study, an open-source real-time motion correction (RTMC) plug-in for single-photon calcium imaging data acquisition was proposed. The RTMC plug-in is able to run on GPUs in UCLA Miniscope data acquisition software and satisfies real-time processing requirements in terms of speed, memory, and accuracy. Experimental results demonstrated that the neural calcium dynamics and calcium events can be accurately restored from the collected calcium data using our RTMC plug-in.
FRONTIERS IN NEURAL CIRCUITS
(2022)
Review
Behavioral Sciences
Xiaodi Ding, Shuangshuang Zhang, Wei Huang, Shaomin Zhang, Li Zhang, Jiahui Hu, Juebao Li, Qiuhua Ge, Yuanjiao Wang, Xiangming Ye, Jie Zhang
Summary: In recent years, non-invasive brain stimulation (NIBS) interventions for post-stroke aphasia have gained attention. A meta-analysis of randomized controlled trials found that low-frequency transcranial magnetic stimulation (LF-rTMS) was more effective than anodal-transcranial direct-current stimulation (a-tDCS) for alleviating global severity. Dual-tDCS was the most effective for naming and repetition. The choice of stimulation target varied across different language domains.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2022)
Article
Multidisciplinary Sciences
Yiwei Zhang, Jiawei Han, Tengjun Liu, Zelan Yang, Weidong Chen, Shaomin Zhang
Summary: In this study, we proposed a spike sorting method combining Linear Discriminant Analysis (LDA) and Density Peaks (DP) for feature extraction and clustering. The algorithm achieves high performance by relying on the joint optimization of LDA and DP. The results show that the proposed LDA-DP algorithm extracts more discriminative features and achieves better cluster quality, especially in high noise levels or waveform similarity.
SCIENTIFIC REPORTS
(2022)
Article
Neurosciences
Yuxiao Ning, Guihua Wan, Tengjun Liu, Shaomin Zhang
Summary: This study designed a novel brain-machine interface paradigm where two macaques could generate energy-efficient temporal patterns in the primary motor cortex volitionally. The research found that most neurons not directly involved in BMI control did not increase excitability, and the firing rates and temporal precision of selected neurons co-evolved to produce energy-efficient temporal patterns.
Article
Neurosciences
Hongjie Jiang, Minmin Wang, Dan Wu, Jianmin Zhang, Shaomin Zhang
Summary: This study reported on the in vivo measurement and simulation research of intracranial electric fields under different tES montages in an epilepsy patient. The results demonstrate that brain lesions may degrade the prediction ability of the current simulation model.
Article
Chemistry, Multidisciplinary
Fan Zhang, Luxi Zhang, Jie Xia, Wanpeng Zhao, Shurong Dong, Zhi Ye, Gang Pan, Jikui Luo, Shaomin Zhang
Summary: In this study, an active and fully transparent ECoG array based on zinc oxide thin-film transistors (ZnO TFTs) was developed, which can amplify brain electrophysiological signals and realize photoelectric collaborative observation. The electrode has high transparency, can record high-quality brain signals, and works under magnetic resonance imaging without affecting brain tissue imaging.
Article
Medicine, General & Internal
Shengming Wang, Luoqi Yang, Haofei Jiang, Jie Xia, Wenjuan Li, Zujuan Zhang, Shaomin Zhang, Hao Jin, Jikui Luo, Shurong Dong, Yanlan Yu, Zhenwei Xie
Summary: Pelvic floor dysfunction (PFD) is a serious public health problem. The lack of reliable diagnostic devices hinders accurate evaluation and diagnosis of regional pelvic floor muscle (PFM) malfunctions. In this study, a multifunctional evaluation technology (MET) was developed using an innovative airbag-type stretchable electrode array probe (ASEA) for diagnosing PFM malfunctions. Clinical trials using the MET showed that it can accurately diagnose regional PFM malfunctions and evaluate inter-regional correlation. The MET provides a potential point-of-care diagnostic method for targeted electrical stimulation treatment and PFD pathology research.
Article
Neurosciences
Ruixue Wang, Yuchen Xu, Yiwei Zhang, Xiaoling Hu, Yue Li, Shaomin Zhang
Summary: Accurate spike sorting is crucial for neural activity analysis. In this study, we proposed a fast and effective spike sorting method (MultiFq) based on multi-frequency composite waveform shapes acquired through an optimized filtering process. The proposed method significantly improved sorting performance and demonstrated compatibility with other sorting algorithms.
Review
Oncology
Yue Lan, Shaomin Zhang, Yun Pan, Minmin Wang, Guangdi Chen
Summary: Tumor treating fields (TTFields) as a novel cancer therapy have shown promising effects by inducing anti-tumor immune responses. Clinical trials have demonstrated the potential of combining TTFields with tumor immunotherapy. This article reviews the research progress on the mechanisms of TTFields-induced anti-tumor immune responses and discusses their clinical significance.
Article
Biotechnology & Applied Microbiology
Chen Qiu, Yuan Sun, Jinying Li, Yuchen Xu, Jiayi Zhou, Cong Qiu, Shaomin Zhang, Yong He, Luyang Yu
Summary: Spinal cord injury leads to loss of motor and sensory function, and current therapies are ineffective. This study demonstrates the potential of inducing human amniotic epithelial cells into neural-like cells and using them in a 3D-printed biomimetic spinal cord scaffold to partially restore neural circuits and locomotion in a rat model of SCI.
BIOENGINEERING-BASEL
(2022)
