Article
Engineering, Biomedical
Brian M. Dekleva, Jeffrey M. Weiss, Michael L. Boninger, Jennifer L. Collinger
Summary: This study aims to improve cursor click decoding for point-and-click and click-and-drag control using iBCI technology. By identifying prominent neural responses related to hand grasp, a new approach based on transient responses was developed, which outperformed the standard binary state classification method. This transient-based approach provides high degree of cursor click control, marking an important step towards high-performance cursor control and clinical translation of iBCI technology.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Neurosciences
Mark L. C. M. Bruurmijn, Mathijs Raemaekers, Mariana P. Branco, Nick F. Ramsey, Mariska J. Vansteensel
Summary: There is evidence suggesting the importance of the contralateral sensorimotor areas in movement generation, but the exact role of the ipsilateral sensorimotor cortex in unilateral movement control remains unclear. High-field fMRI data showed hand movement representation in the ipsilateral sensorimotor hand area, supporting the notion of transcallosal integrative processes for optimal coordination of hand movements.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2021)
Article
Engineering, Biomedical
Sebastian Olsen, Jianwei Zhang, Ken-Fu Liang, Michelle Lam, Usama Riaz, Jonathan C. Kao
Summary: The study introduces a new BCI architecture that incorporates external artificial intelligence to improve control performance. Testing with human subjects showed that the AI-BCI achieved higher information communication rates, quicker movement trajectories, improved precision control, and more efficient movement paths, across a spectrum of control quality from poor to proficient.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Neurosciences
Anisha Rastogi, Francis R. Willett, Jessica Abreu, Douglas C. Crowder, Brian A. Murphy, William D. Memberg, Carlos E. Vargas-Irwin, Jonathan P. Miller, Jennifer Sweet, Benjamin L. Walter, Paymon G. Rezaii, Sergey D. Stavisky, Leigh R. Hochberg, Krishna Shenoy, Jaimie M. Henderson, Robert F. Kirsch, A. Bolu Ajiboye
Summary: The study found that force information is represented in the neural activity and can be decoded across multiple hand grasps; grasp type affects force representation and offline force classification accuracy within multiunit neural features; grasp is classified more accurately and has greater population-level representation than force, suggesting independent and interacting representations of force and grasp within the cortex.
Review
Neurosciences
Matthew W. Holt, Eric C. Robinson, Nathan A. Shlobin, Jacob T. Hanson, Ismail Bozkurt
Summary: This systematic review examines the current status of intracortical brain-computer interfaces (iBCIs) applied to the motor cortex for improving motor function in patients with impaired ability. The review highlights the need for standardization in performance metrics and summarizes the achievements and challenges of iBCIs in activating limbs for functional tasks and enabling communication. It concludes that although these systems show promise in enhancing motor ability, further milestones need to be achieved before their feasibility in recovery can be established.
REVIEWS IN THE NEUROSCIENCES
(2023)
Article
Multidisciplinary Sciences
Sean L. Metzger, Kaylo T. Littlejohn, Alexander B. Silva, David A. Moses, Margaret P. Seaton, Ran Wang, Maximilian E. Dougherty, Jessie R. Liu, Peter Wu, Michael A. Berger, Inga Zhuravleva, Adelyn Tu-Chan, Karunesh Ganguly, Gopala K. Anumanchipalli, Edward F. Chang
Summary: This research uses high-density surface recordings of the speech cortex to achieve real-time decoding of brain activity into text, speech sounds, and facial movements. Deep learning models are trained to accurately and rapidly convert neural data into various outputs. This multimodal speech neuroprosthetic approach has substantial potential to restore full and embodied communication for individuals with severe paralysis.
Article
Chemistry, Analytical
Laura Tosini, Ana Carolina Gomes, Daniela M. Corbetta, Fernando Henrique Magalhaes, Cassio M. M. Meira Jr
Summary: The principle of Fitts' law suggests that movement difficulty increases with distance and width of targets, especially when touching two parallel targets quickly. Understanding the differences in motor and gaze behaviors between extroverts and introverts is important for the development of sensor-based interfaces for games and rehabilitation. This study investigated these differences in a computer task and found that introverts had longer visual fixations and reduced pupil diameter variability, suggesting unique gaze behavior. However, there were no significant differences in speed and accuracy performance between extroverts and introverts.
Article
Neurosciences
Jiafan Lin, Dongrong Lai, Zijun Wan, Linqing Feng, Junming Zhu, Jianmin Zhang, Yueming Wang, Kedi Xu
Summary: In this study, the representation and decoding of different laterality and regions arm motor imagery in unilateral motor cortex were examined using local field potentials (LFPs). The results showed that different tasks had significant differences in average energy and could be decoded using LFP signals. Moreover, the 135-300 Hz band signal had the highest decoding accuracy and the contralateral and bilateral signals had more similar power activation patterns and larger signal correlation than contralateral and ipsilateral signals, bilateral and ipsilateral signals.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Article
Multidisciplinary Sciences
Luca Tonin, Serafeim Perdikis, Taylan Deniz Kuzu, Jorge Pardo, Bastien Orset, Kyuhwa Lee, Mirko Aach, Thomas Armin Schildhauer, Ramon Martinez-Olivera, Jose del R. Millan
Summary: The study shows that tetraplegic spinal-cord injury users can be trained to operate a non-invasive thought-controlled wheelchair for complex navigation tasks, but only those with increasing decoding performance and feature discriminancy achieved high navigation performance. Additionally, dexterous control of robots is possible through shared-control methodologies.
Article
Neurosciences
Dongrong Lai, Zijun Wan, Jiafan Lin, Li Pan, Feixiao Ren, Junming Zhu, Jianmin Zhang, Yueming Wang, Yaoyao Hao, Kedi Xu
Summary: In this study, neural signals from a paralyzed individual's left motor cortex were recorded during unimanual and bimanual motor imagery tasks to investigate how the human brain coordinates bimanual movements. The results showed that while there was a similar preference for each arm during unimanual movements, the preference for the contralateral arm increased to 71.8% during bimanual movements, indicating contralateral lateralization. It was also observed that there was a decorrelation process for each arm's representation across the unimanual and bimanual tasks. These findings contribute to our understanding of bimanual coordination and the development of advanced bimanual brain-computer interfaces.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Engineering, Biomedical
Do-Yeun Lee, Ji-Hoon Jeong, Byeong-Hoo Lee, Seong-Whan Lee
Summary: The study focused on decoding various forearm movements from EEG signals using a small number of samples. A convolutional neural network based on inter-task transfer learning was proposed, achieving improved classification performance by training the reconstructed ME-EEG signals together with a small amount of MI-EEG signals. The proposed method showed increased performance compared to conventional models, suggesting the feasibility of BCI learning strategies with stable performance using a small calibration dataset and time.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Clinical Neurology
Matthew Stephen Fifer, David P. McMullen, Luke E. Osborn, Tessy M. Thomas, Breanne P. Christie, Robert W. Nickl, Daniel N. Candrea, Eric A. Pohlmeyer, Margaret C. Thompson, Manuel Alejandro Anaya, Wouter Schellekens, Nick F. Ramsey, Sliman J. Bensmaia, William S. Anderson, Brock A. Wester, Nathan E. Crone, Pablo A. Celnik, Gabriela L. Cantarero, Francesco Tenore
Summary: This study demonstrates the possibility of restoring fingertip sensations through intracortical microstimulation, which could be used to control neuroprostheses for object manipulation. The participant was able to reliably identify stimulation sites and perceive the intensity of the stimulation based on the stimulation amplitude.
Review
Clinical Neurology
Ippei Nojima, Hisato Sugata, Hiroki Takeuchi, Tatsuya Mima
Summary: This meta-analysis evaluated the effect sizes of clinical studies investigating the use of BCI-based rehabilitation interventions in restoring upper extremity function in post-stroke patients. The results suggest that BCI-based training is superior to conventional interventions for motor recovery of the upper limbs, with a focus on the effectiveness of sensorimotor rhythm algorithm in detecting brain activity. Further studies involving larger cohorts are needed to confirm these results due to high risk of bias and heterogeneity among the studies.
NEUROREHABILITATION AND NEURAL REPAIR
(2022)
Article
Engineering, Biomedical
Jingfeng Bi, Ming Chu
Summary: The goal of this study is to design a single-limb, multi-category motor imagery paradigm and achieve cross-subject intention recognition through the transfer data learning network (TDLNet). The network processes cross-subject EEG signals and assigns weights to signal channels using the Residual Attention Mechanism Module (RAMM), resulting in the best classification results.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Xulu Sun, Daniel J. O'Shea, Matthew D. Golub, Eric M. Trautmann, Saurabh Vyas, Stephen I. Ryu, Krishna V. Shenoy
Summary: This study explores changes in preparatory activity in the motor cortex accompanying motor learning. It was found that changes in preparatory activity were consistent with learned behavioral modifications and reassociated with updated movements. Additionally, preparatory activity uniformly shifted for all movement directions, including those not altered by learning. These persistent preparatory activity patterns may retain a motor memory of the learned field and support accelerated relearning of the same field.
Review
Physiology
Chethan Pandarinath, Sliman J. Bensmaia
Summary: Advances in brain function understanding and neural interfaces have made brain-machine interfaces (BMIs) possible, which can reanimate limbs and restore touch through monitoring and activation of neurons. This review discusses motor control and somatosensation mechanisms and describes different signal sources and methods.
PHYSIOLOGICAL REVIEWS
(2022)
Article
Neurosciences
Angelique C. Paulk, Yoav Kfir, Arjun R. Khanna, Martina L. Mustroph, Eric M. Trautmann, Dan J. Soper, Sergey D. Stavisky, Marleen Welkenhuysen, Barundeb Dutta, Krishna Shenoy, Leigh R. Hochberg, R. Mark Richardson, Ziv M. Williams, Sydney S. Cash
Summary: Neuropixels probes allow for simultaneous recordings from more than 200 cortical neurons in human participants during neurosurgical procedures. This technology provides valuable insights into human cognition and pathology.
NATURE NEUROSCIENCE
(2022)
Article
Engineering, Biomedical
Lahiru N. Wimalasena, Jonas F. Braun, Mohammad Reza Keshtkaran, David Hofmann, Juan Alvaro Gallego, Cristiano Alessandro, Matthew C. Tresch, Lee E. Miller, Chethan Pandarinath
Summary: This study proposes a machine learning method to estimate the underlying neural command signal for muscle activation, and successfully applies it to experimental data from rats and monkeys. The method, called AutoLFADS, dynamically adjusts its frequency response and provides single-trial estimates that improve the prediction of joint kinematics and uncover new muscle oscillations. This approach has important implications for studying multi-muscle coordination, brain control, and improving myoelectric-based brain-machine interfaces.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Medicine, Research & Experimental
Jamasb J. Sayadi, Adrian J. Rodrigues, Neal A. Patel, Amit Ayer, Jaimie M. Henderson
Summary: This retrospective study analyzed the medical records of adult patients who underwent initial deep brain stimulation (DBS) implantation surgery at Stanford Hospital from November 14, 2012, to November 9, 2020. The results showed that the use of antibacterial envelopes reduced the incidence of surgical site infections (SSI) in DBS surgery. However, this association did not remain statistically significant after controlling for confounding variables. Future prospective studies are needed to determine the efficacy of antibacterial envelopes in reducing post-DBS infections.
Article
Neurosciences
Christian Thaler, Qiyuan Tian, Max Wintermark, Pejman Ghanouni, Casey H. H. Halpern, Jaimie M. M. Henderson, Raag D. D. Airan, Michael Zeineh, Maged Goubran, Christoph Leuze, Jens Fiehler, Kim Butts Pauly, Jennifer A. McNab
Summary: This study detected microstructural changes within the CTCT after tcMRgFUS treatment and found a correlation between these changes and lesion-tract overlap, which helps to elucidate the treatment mechanism and improve targeting strategies.
BRAIN CONNECTIVITY
(2023)
Editorial Material
Clinical Neurology
Jeryl Ritzi T. Yu, Benjamin L. Walter
PARKINSONISM & RELATED DISORDERS
(2022)
Article
Neurosciences
Joshua K. K. Wong, Helen S. S. Mayberg, Doris D. D. Wang, R. Mark Richardson, Casey H. H. Halpern, Lothar Krinke, Mattia Arlotti, Lorenzo Rossi, Alberto Priori, Sara Marceglia, Ro'ee Gilron, James F. F. Cavanagh, Jack W. W. Judy, Svjetlana Miocinovic, Annaelle D. D. Devergnas, Roy V. V. Sillitoe, Stephanie Cernera, Carina R. R. Oehrn, Aysegul Gunduz, Wayne K. K. Goodman, Erika A. A. Petersen, Helen Bronte-Stewart, Robert S. S. Raike, Mahsa Malekmohammadi, David Greene, Petra Heiden, Huiling Tan, Jens Volkmann, Valerie Voon, Luming Li, Pankaj Sah, Terry Coyne, Peter A. A. Silburn, Cynthia S. S. Kubu, Anna Wexler, Jennifer Chandler, Nicole R. R. Provenza, Sarah R. R. Heilbronner, Marta San Luciano, Christopher J. J. Rozell, Michael D. D. Fox, Coralie de Hemptinne, Jaimie M. M. Henderson, Sameer A. A. Sheth, Michael S. S. Okun
Summary: The Deep Brain Stimulation (DBS) Think Tank X was held in Orlando FL on August 17-19, 2022, with the theme of women in neuromodulation. Dr. Helen Mayberg, the keynote speaker, discussed the development of DBS for depression. The consensus among the speakers was that DBS has expanded in scope but certain indications have faced challenges.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Article
Clinical Neurology
Daniel B. Rubin, A. Bolu Ajiboye, Laurie Barefoot, Marguerite Bowker, Sydney S. Cash, David Chen, John P. Donoghue, Emad N. Eskandar, Gerhard Friehs, Carol Grant, Jaimie M. Henderson, Robert F. Kirsch, Rose Marujo, Maryam Masood, Stephen T. Mernoff, Jonathan P. Miller, Jon A. Mukand, Richard D. Penn, Jeremy Shefner, Krishna V. Shenoy, John D. Simeral, Jennifer A. Sweet, Benjamin L. Walter, Ziv M. Williams, Leigh R. Hochberg
Summary: This study reports the safety results of a large and long-running clinical trial of an implanted brain-computer interface. The findings show a low rate of serious adverse events in appropriately selected individuals, supporting further research and development.
Article
Clinical Neurology
Jeryl Ritzi T. Yu, Claire Sonneborn, Olivia Hogue, Debolina Ghosh, Anne Brooks, James Liao, Hubert H. Fernandez, Shannon Shaffer, Scott A. Sperling, Benjamin L. Walter
Summary: This study examines the frequency and outcomes of deviations between outpatient and inpatient medication administrations in patients with Parkinson's disease. The results indicate that deviations between outpatient and hospital regimens, as well as the administration of antidopaminergic medications, are associated with poor outcomes.
PARKINSONISM & RELATED DISORDERS
(2023)
Article
Clinical Neurology
Jay L. Alberts, Umar Shuaib, Hubert Fernandez, Benjamin L. Walter, David Schindler, Mandy Miller Koop, Anson B. Rosenfeldt
Summary: The use of technology in quantifying Parkinson's disease motor symptoms has evolved over the past 50 years. Despite advancements in technology, subjective clinical assessment remains the gold standard for evaluating symptoms. A new model, Develop with Clinical Intent (DCI), focuses on the clinical problem and has successfully integrated technology into clinical practice. The DCI model holds promise for bringing cutting-edge technology to patients.
FRONTIERS IN NEUROLOGY
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Nishal P. Shah, Matthew S. Willsey, Nick Hahn, Foram Kamdar, Donald T. Avansino, Leigh R. Hochberg, Krishna V. Shenoy, Jaimie M. Henderson
Summary: This paper introduces a new iBCI communication prosthesis that allows individuals with paralysis to type using a 3D keyboard interface. The study found that decoding neural activity using 3 degrees of freedom (DOF) was more accurate (95%) than using 5 DOF (76%). A virtual keyboard was developed based on natural language statistics, resulting in improved typing accuracy and speed for the participant.
2023 11TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING, NER
(2023)
Article
Clinical Neurology
Jay L. L. Alberts, Ryan D. D. Kaya, Amanda L. L. Penko, Matthew Streicher, Eric M. M. Zimmerman, Sara Davidson, Benjamin L. L. Walter, Anson B. B. Rosenfeldt
Summary: This study evaluates the effectiveness of using the Dual-task Augmented Reality Treatment (DART) platform compared to traditional Dual-task training (DTT) for treating postural instability and gait dysfunction in Parkinson's disease patients. The results demonstrate that the DART platform is equally effective in improving gait compared to traditional DTT, providing evidence for the potential and feasibility of digitalized DTT.
NEUROREHABILITATION AND NEURAL REPAIR
(2023)
Article
Biochemistry & Molecular Biology
Nicholas D. Schiff, Joseph T. Giacino, Christopher R. Butson, Eun Young Choi, Jonathan L. Baker, Kyle P. O'Sullivan, Andrew P. Janson, Michael Bergin, Helen M. Bronte-Stewart, Jason Chua, Laurel Degeorge, Sureyya Dikmen, Adam Fogarty, Linda M. Gerber, Mark Krel, Jose Maldonado, Matthew Radovan, Sudhin A. Shah, Jason Su, Nancy Temkin, Thomas Tourdias, Jonathan D. Victor, Abigail Waters, Stephanie A. Kolakowsky-Hayner, Joseph J. Fins, Andre G. Machado, Brian K. Rutt, Jaimie M. Henderson
Summary: This feasibility study demonstrates that deep brain stimulation within the central lateral thalamus can be safely applied and is associated with improved executive control in patients with moderate-to-severe traumatic brain injury.
Article
Health Care Sciences & Services
Joseph J. J. Fins, Megan S. S. Wright, Jaimie M. M. Henderson, Nicholas D. D. Schiff
Summary: This article explores subject and family perspectives on the use of Medtronic PC + S invasive neurological device trial for cognitive restoration in moderate to severe traumatic brain injury. Interviews conducted prior to surgery revealed that informed consent and enrollment decisions were complex and often resulted in divided opinions between subjects and their families. Despite the risks involved, both subjects and families expressed hopes for cognitive improvement and better quality of life through study participation.
CAMBRIDGE QUARTERLY OF HEALTHCARE ETHICS
(2022)