Review
Neurosciences
Abdelkader Nasreddine Belkacem, Nuraini Jamil, Sumayya Khalid, Fady Alnajjar
Summary: Emerging brain technologies, such as closed-loop brain-computer interface (BCI), have transformed human life by interpreting and controlling neuronal signals. This paper analyzes the latest research on closed-loop BCI using various stimulation techniques, highlighting its potential in improving the lives of patients with neurological or psychiatric disorders.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Review
Clinical Neurology
Alberto Herrero Babiloni, Audrey Bellemare, Gabrielle Beetz, Sophie-A Vinet, Marc O. Martel, Gilles J. Lavigne, Louis De Beaumont
Summary: Sleep disturbances and poor sleep quality are major health concerns in various neurological and neuropsychiatric clinical conditions. Repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) have the potential to improve insomnia symptoms and sleep disturbances across different types of diseases, although more research is needed to reduce bias and optimize brain stimulation parameters.
SLEEP MEDICINE REVIEWS
(2021)
Article
Engineering, Biomedical
Martin A. Garenfeld, Nikola Jorgovanovic, Vojin Ilic, Matija Strbac, Milica Isakovic, Jakob L. Dideriksen, Strahinja Dosen
Summary: The study proposed a novel compact solution for simultaneous recording and stimulation through dynamic blanking of stimulation artefacts. By developing a feedback coding scheme specifically for myoelectric control, it was found that the quality of closed-loop control was preserved in spite of electrotactile stimulation.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Engineering, Biomedical
Hao Fang, Yuxiao Yang
Summary: This study develops a robust adaptive neuromodulation algorithm to address performance issues of time-invariant controllers under real-time model uncertainty. Through theoretical analysis and Monte Carlo simulations, the algorithm accurately tracks brain state trajectories, enabling stable and robust control. The algorithm significantly outperforms state-of-the-art neuromodulation algorithms and has implications for future designs of closed-loop brain stimulation systems.
JOURNAL OF NEURAL ENGINEERING
(2022)
Review
Pharmacology & Pharmacy
Katarzyna Socala, Urszula Doboszewska, Aleksandra Szopa, Anna Serefko, Marcin Wlodarczyk, Anna Zielinska, Ewa Poleszak, Jakub Fichna, Piotr Wlaz
Summary: Emerging evidence suggests that gut microbiota play a crucial role in the bidirectional communication between the gut and brain, influencing neural development, neurotransmission, and behavior. Studies have explored the role of microbiota in various neuropsychiatric and neurological disorders, including depression, anxiety, schizophrenia, autism spectrum disorders, Parkinson's disease, migraine, and epilepsy. This review discusses data from both preclinical experiments and clinical reports, highlighting the effects of probiotic, prebiotic, or antibiotic treatments, as well as fecal microbiota transplantation.
PHARMACOLOGICAL RESEARCH
(2021)
Article
Engineering, Biomedical
Yongsheng Zhong, Yibo Wang, Zhuoyi He, Zhengrong Lin, Na Pang, Lili Niu, Yanwu Guo, Min Pan, Long Meng
Summary: The study developed a closed-loop wearable UDBS system that automatically detected epileptic seizures using a BILSTM network and reduced epileptic EEG power spectral density and seizure duration by stimulating the hippocampus. This system improved the survival rate of early epileptic mice and could potentially be an effective clinical tool for epilepsy control.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Clinical Neurology
Yuichi Takeuchi, Mark Harangozo, Lizeth Pedraza, Tamas Foldi, Gabor Kozak, Qun Li, Antal Berenyi
Summary: The study demonstrates that closed-loop electrical stimulation of the medial septum can effectively terminate intrahippocampal seizures and suppress secondary generalization, emphasizing the importance of internally driven stimulus timing. By precisely activating medial septum GABAergic neurons, successful intervention in pathological oscillations was achieved, providing a new avenue for future clinical translation in other neurological and psychiatric disorders.
Article
Engineering, Biomedical
Yingnan Nie, Xuanjun Guo, Xiao Li, Xinyi Geng, Yan Li, Zhaoyu Quan, Guanyu Zhu, Zixiao Yin, Jianguo Zhang, Shouyan Wang
Summary: The irregular sampling method proposed in this study effectively removed stimulation artifacts in both simulation signals and in vivo experiments, showing potential for developing advanced closed-loop DBS strategies.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
Lekshmy Sudha Kumari, Abbas Z. Kouzani
Summary: This paper presents a tetherless and miniaturized closed-loop optogenetic brain stimulation device for laboratory mice, which can sense biomarkers related to major depressive disorder and provide feedback to control the stimulation. The device is designed to address the issue of hindering the free movement of the animals caused by tethered devices in previous experiments.
Article
Neurosciences
Larry E. Shupe, Frank P. Miles, Geoff Jones, Richy Yun, Jonathan Mishler, Irene Rembado, R. Logan Murphy, Steve I. Perlmutter, Eberhard E. Fetz
Summary: NC3 is a multichannel bidirectional brain-computer interface that operates autonomously and supports closed-loop activity-dependent stimulation. It consists of six main components and has been successfully deployed in many closed-loop operations in neuroprosthetics and neurorehabilitation.
FRONTIERS IN NEUROSCIENCE
(2021)
Review
Computer Science, Information Systems
Jianhong Wang, Qing Ouyang
Summary: This paper combines errors-in-variable (EIV) system with closed loop situation to consider a more complex closed loop EIV system. It provides a comprehensive analysis of the identification problem for closed loop EIV system from the perspective of system identification field. The article explains the usefulness of closed loop EIV system, proposes a nonparametric estimate for unknown plant identification, and introduces bias compensated estimate and an iterative least squares estimate to improve overall identification performance.
Article
Engineering, Biomedical
Scott Bressler, Ryan Neely, Ryan M. Yost, David Wang, Heather L. Read
Summary: This study examines the feasibility of using a headband wearable device with an endpoint-corrected version of the Hilbert transform algorithm to measure alpha phase and deliver phase-locked auditory stimulation during the transition from wakefulness to sleep. The results show that the wearable system is capable of measuring sleep-related neural activity with high fidelity and delivering auditory stimuli at the intended phases of neural oscillations. This study demonstrates the potential for closed-loop real-time tracking and neuromodulation of sleep-related oscillations using a wearable EEG device.
JOURNAL OF NEURAL ENGINEERING
(2023)
Review
Biochemistry & Molecular Biology
Li Cheng, Jiaying Liu, Zhong Chen
Summary: Histamine not only modulates the immune response and inflammation, but also acts as a neurotransmitter in the mammalian brain. The histaminergic system plays a significant role in the maintenance of wakefulness, appetite regulation, cognition, and arousal, which are severely affected in neuropsychiatric disorders. Recent experimental and clinical findings show the precise role of the histaminergic system in neuropsychiatric disorders, including its cell-type role and circuit bases in narcolepsy, schizophrenia, Alzheimer's disease, Tourette's syndrome, and Parkinson's disease.
Review
Clinical Neurology
Andrea Cuschieri, Nicole Borg, Christian Zammit
Summary: Currently, there is insufficient evidence to suggest that closed-loop deep brain stimulation (CL-DBS) offers significantly better clinical outcomes compared to open-loop deep brain stimulation (OL-DBS). However, our scoping review indicates that CL-DBS can improve symptoms of specific neurological and psychiatric disorders and has the advantage of energy-saving capacity, potentially reducing the need for battery replacement surgeries. Real-time adjustment of symptoms using CL-DBS may improve overall quality of life for patients. Further studies are needed to validate these observations.
CLINICAL NEUROLOGY AND NEUROSURGERY
(2022)
Article
Engineering, Biomedical
John E. Fleming, Sageanne Senneff, Madeleine M. Lowery
Summary: This study presents a multivariable control architecture for selective suppression of motor symptoms in Parkinson's disease (PD) patients. By simultaneously modulating the amplitude and duration of deep brain stimulation (DBS), effective control of both rest tremor and beta activity can be achieved with reduced power delivery. The control architecture also enables automatic regulation of stimulation dosage to prevent overstimulation and save power.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Engineering, Biomedical
Yuxiao Yang, Maryam M. Shanechi
JOURNAL OF NEURAL ENGINEERING
(2016)
Article
Biotechnology & Applied Microbiology
Omid G. Sani, Yuxiao Yang, Morgan B. Lee, Heather E. Dawes, Edward F. Chang, Maryam M. Shanechi
NATURE BIOTECHNOLOGY
(2018)
Article
Biochemistry & Molecular Biology
Vikram R. Rao, Kristin K. Sellers, Deanna L. Wallace, Morgan B. Lee, Maryam Bijanzadeh, Omid G. Sani, Yuxiao Yang, Maryam M. Shanechi, Heather E. Dawes, Edward F. Chang
Article
Engineering, Biomedical
Yuxiao Yang, Justin T. Lee, Jennifer A. Guidera, Ksenia Y. Vlasov, JunZhu Pei, Emery N. Brown, Ken Solt, Maryam M. Shanechi
JOURNAL OF NEURAL ENGINEERING
(2019)
Article
Engineering, Biomedical
Yuxiao Yang, Omid G. Sani, Edward F. Chang, Maryam M. Shanechi
JOURNAL OF NEURAL ENGINEERING
(2019)
Article
Engineering, Biomedical
Parima Ahmadipour, Yuxiao Yang, Edward F. Chang, Maryam M. Shanechi
Summary: This study focuses on using an adaptive linear state-space model to analyze the dynamics of multi-site electrocorticogram (ECoG) network activity. The results show that adaptive modeling significantly improves the prediction of ECoG network dynamics compared to non-adaptive modeling, while also allowing for additional dimensionality reduction. The findings suggest that ECoG network dynamics exhibit non-stationarity, which can be effectively tracked using adaptive modeling techniques.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Engineering, Biomedical
Yuxiao Yang, Parima Ahmadipour, Maryam M. Shanechi
Summary: The RO-adaptive LSSM algorithm was developed to address the challenges of adapting dynamic latent state models to non-stationary brain network dynamics. It successfully updates parameters and optimizes learning rates to accurately track a broad range of non-stationary brain network dynamics. This algorithm has the potential to enhance the study of time-varying neural dynamics in brain functions and improve future neurotechnologies like brain-machine interfaces and closed-loop brain stimulation systems.
JOURNAL OF NEURAL ENGINEERING
(2021)
Proceedings Paper
Engineering, Biomedical
Parima Ahmadipour, Yuxiao Yang, Maryam M. Shanechi
2019 9TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER)
(2019)
Proceedings Paper
Biophysics
Yuxiao Yang, Edward F. Chang, Maryam M. Shanechi
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2017)
Proceedings Paper
Engineering, Biomedical
Yuxiao Yang, Maryam M. Shanechi
2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2016)
Proceedings Paper
Engineering, Biomedical
Yuxiao Yang, Maryam M. Shanechi
2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2015)
Proceedings Paper
Engineering, Biomedical
Yuxiao Yang, Maryam M. Shanechi
2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2015)
Proceedings Paper
Engineering, Biomedical
Yuxiao Yang, Maryam M. Shanechi
2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2014)
Meeting Abstract
Neurosciences
Omid Sani, Yuxiao Yang, Morgan Lee, Kristin Sellers, Heather Dawes, Edward Chang, Maryam Shanechi
BIOLOGICAL PSYCHIATRY
(2020)