Article
Engineering, Biomedical
Daniel R. Kramer, Morgan B. Lee, Michael Barbaro, Angad S. Gogia, Terrance Peng, Charles Liu, Spencer Kellis, Brian Lee
Summary: In this study, the feasibility of using a high-density mECoG grid in a somatosensory BCI system was demonstrated. By stimulating the hand area of the primary somatosensory cortex, it was possible to evoke sensations and record the location and description of perception.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Neurosciences
Johannes Gruenwald, Sebastian Sieghartsleitner, Christoph Kapeller, Josef Scharinger, Kyousuke Kamada, Peter Brunner, Christoph Guger
Summary: This study systematically characterizes the fundamental signal properties of HGA in ECoG signals, including the high-gamma frequency band, HGA bandwidth, and the temporal dynamics of HGA. The results show significant variations in these signal properties across subjects and cognitive/behavioral tasks, highlighting the importance of optimizing experiment design and HGA estimation.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Automation & Control Systems
Chin-Teng Lin, Tien-Thong Nguyen Do
Summary: BCIs allow users to communicate with external devices via brain signals. Wearable computers combine virtual/augmented/mixed reality experiences for entertainment, health monitoring, and research. Despite the potential of BCIs, adoption is slow due to the unnatural interaction and slower feedback compared to our brains.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Engineering, Biomedical
Mansoureh Fahimi Hnazaee, Maxime Verwoert, Zachary Freudenburg, Sandra M. A. van der Salm, Erik J. Aarnoutse, Sacha Leinders, Marc M. Van Hulle, Nick F. Ramsey, Mariska J. Vansteensel
Summary: This study investigates whether non-invasive scalp electroencephalography (EEG) can predict the performance of brain-computer interfaces (BCIs) based on electrocorticography (ECoG). By analyzing the experimental results of participants with locked-in syndrome (LIS) and healthy participants, it was found that EEG can detect the characteristics observed in ECoG signals. These findings provide new insights for predicting the performance of ECoG-BCIs.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Chemistry, Multidisciplinary
Daniele Germano, Nicolina Sciaraffa, Vincenzo Ronca, Andrea Giorgi, Giacomo Trulli, Gianluca Borghini, Gianluca Di Flumeri, Fabio Babiloni, Pietro Arico
Summary: This study evaluates the impact of different positions of the EEG headset on the performance of the BCI system and detects covariate shift using the Isolation Forest model. The results show a significant negative correlation between covariate shift and the accuracy of the passive BCI system. This approach opens up new perspectives for developing robust and flexible BCI systems.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Jaiteg Singh, Farman Ali, Rupali Gill, Babar Shah, Daehan Kwak
Summary: Rehabilitation using EEG-assisted Brain-Computer Interface (BCI) is a potential approach for restoring or enhancing damaged muscles and motor systems. This literature review explores the latest developments in BCI and motor control for rehabilitation, as well as typical EEG apparatuses for BCI-driven rehabilitation. It also summarizes significant studies using machine learning techniques for rehabilitation assessment.
Article
Engineering, Biomedical
Eleonora Borda, Danashi Imani Medagoda, Marta Jole Ildelfonsa Airaghi Leccardi, Elodie Genevieve Zollinger, Diego Ghezzi
Summary: Off-stoichiometry thiol-ene-epoxy (OSTE+) thermosets have low gas permeability and little absorption of dissolved molecules, allowing for low-temperature dry bonding without surface treatments. They can be manufactured via UV polymerisation and have gained attention for rapid prototyping of microfluidic chips and as a novel material for neural implants due to their mechanical properties and compatibility with standard clean-room processes.
Article
Neurosciences
Yu Qi, Jiajun Chen, Yueming Wang
Summary: Brain-machine interfaces (BMI) still face challenges in accuracy and stability. Neuromorphic computing models offer a promising approach to overcome these challenges and develop high-performance neuroprosthetics.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Neurosciences
Byoung-Kyong Min, Hyun-Seok Kim, Wonjun Ko, Min-Hee Ahn, Heung-Il Suk, Dimitrios Pantazis, Robert T. Knight
Summary: By applying regularized linear discriminant analysis to human scalp EEG data, we were able to accurately distinguish between mental-rotation task and color-perception task, with dominant features found in the dorsal and ventral areas of the lateral PFC. This study highlights the ability of EEG to decode independent task states from PFC and underscores the functional specificity of dorsal and ventral PFC in processing different types of tasks.
Article
Computer Science, Information Systems
Saleh I. Alzahrani, Mashael M. Alsaleh
Summary: Smoothing filters are used in EEG data analysis to remove noise and preserve signal morphology. This study compared the effects of three smoothing filters on EEG data and found that regularization smoothing improved the correlation between target and nontarget responses, increased signal-to-noise ratio, and provided more discriminative information about motor imagery movements.
Article
Computer Science, Artificial Intelligence
Saleh Alzahrani, Charles W. Anderson
Summary: The study indicates that using tri-polar concentric ring electrodes (TCREs) to record movement-related potentials (MRPs) results in higher spatial resolution and accuracy compared to disc electrodes, reducing information overlap between neighboring locations. In experiments involving real and imaginary finger movements, TCREs outperformed disc electrodes in terms of recording quality.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2021)
Article
Neurosciences
Huanpeng Ye, Zhen Fan, Guangye Li, Zehan Wu, Jie Hu, Xinjun Sheng, Liang Chen, Xiangyang Zhu
Summary: This study verified the validity of time-domain and time-frequency features of SEEG, showing that features from high-gamma power and ERP were most informative for distinguishing between active and idle states. Using a hidden Markov model, the onset and end of the active state could be detected with high sensitivity and precision. The findings provide new insights into feature selection for future SEEG-based BCI applications.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Clinical Neurology
Zeanna Jadavji, Jack Zhang, Brett Paffrath, Ephrem Zewdie, Adam Kirton
Summary: This study investigated the ability of children with perinatal stroke to operate a simple BCI system. The results showed that they can achieve proficiency in basic tasks using BCI systems, with no significant difference compared to typically developing controls.
Review
Neurosciences
Aleksandra Kawala-Sterniuk, Natalia Browarska, Amir Al-Bakri, Mariusz Pelc, Jaroslaw Zygarlicki, Michaela Sidikova, Radek Martinek, Edward Jacek Gorzelanczyk
Summary: Over the past few decades, Brain-Computer Interfaces have become a central focus of scientific research, with scientists worldwide developing tools and methods for acquiring and processing brain signals. Technological advancements have enabled communication between humans and the external world through BCI interfaces, transitioning it from science fiction to reality. The efforts in this field have the potential to bring about significant changes for many, with the ultimate goal of fully understanding how the human brain works.
Article
Neurosciences
Soroush Mirjalili, Patrick Powell, Jonathan Strunk, Taylor James, Audrey Duarte
Summary: Previous studies have explored classifying single-trial neural responses using machine learning to provide real-time interventions for memory and cognitive states, finding that extracting multiple feature types is more effective than single type, and combination methods for feature selection are crucial for selecting effective features in classification processes.
Article
Biochemical Research Methods
Bingni W. Brunton, Lise A. Johnson, Jeffrey G. Ojemann, J. Nathan Kutz
JOURNAL OF NEUROSCIENCE METHODS
(2016)
Article
Neurosciences
Kurt E. Weaver, Jeremiah D. Wander, Andrew L. Ko, Kaitlyn Casimo, Thomas J. Grabowski, Jeffrey G. Ojemann, Felix Darvas
Article
Clinical Neurology
Robert Buckley, Samuel Estronza-Ojeda, Jeffrey G. Ojemann
NEUROSURGERY CLINICS OF NORTH AMERICA
(2016)
Article
Acoustics
Felix Darvas, Edin Mehic, Connor J. Caler, Jeff G. Ojemann, Pierre D. Mourad
ULTRASOUND IN MEDICINE AND BIOLOGY
(2016)
Article
Biochemical Research Methods
Kai J. Miller, Gerwin Schalk, Dora Hermes, Jeffrey G. Ojemann, Rajesh P. N. Rao
PLOS COMPUTATIONAL BIOLOGY
(2016)
Article
Biochemistry & Molecular Biology
Andrew S. Allen, Samuel F. Berkovic, Joshua Bridgers, Patrick Cossette, Dennis Dlugos, Michael P. Epstein, Tracy Glauser, David B. Goldstein, Erin L. Heinzen, Yu Jiang, Michael R. Johnson, Ruben Kuzniecky, Daniel H. Lowenstein, Anthony G. Marson, Heather C. Mefford, Terence J. O'Brien, Ruth Ottman, Steven Petrou, Slave Petrovski, Annapurna Poduri, Zhong Ren, Ingrid E. Scheffer, Elliott Sherr, Quanli Wang, Rudi Balling, Nina Barisic, Stephanie Baulac, Hande Caglayan, Dana Craiu, Peter De Jonghe, Christel Depienne, Renzo Guerrini, Ingo Helbig, Helle Hjalgrim, Dorota Hoffman-Zacharska, Johanna Jaehn, Karl Martin Klein, Bobby Koeleman, Vladimir Komarek, Roland Krause, Eric Leguern, Anna-Elina Lehesjoki, Johannes R. Lemke, Holger Lerche, Tarja Linnankivi, Carla Marini, Patrick May, Rikke S. Moller, Hiltrud Muhle, Deb Pal, Aarno Palotie, Felix Rosenow, Kaja Selmer, Jose M. Serratosa, Sanjay Sisodiya, Ulrich Stephani, Katalin Sterbova, Pasquale Striano, Arvid Suls, Tiina Talvik, Sarah von Spiczak, Yvonne Weber, Sarah Weckhuysen, Federico Zara, Bassel Abou-Khalil, Brian K. Alldredge, Dina Amrom, Eva Andermann, Frederick Andermann, Jocelyn F. Bautista, Samuel F. Berkovic, Judith Bluvstein, Gregory D. Cascino, Damian Consalvo, Patricia Crumrine, Orrin Devinsky, Dennis Dlugos, Michael P. Epstein, Miguel E. Fiol, Nathan B. Fountain, Jacqueline French, Daniel Friedman, Tracy Glauser, Kevin Haas, Sheryl R. Haut, Jean Hayward, Sucheta Joshi, Andres Kanner, Heidi E. Kirsch, Eric H. Kossoff, Rachel Kuperman, Ruben Kuzniecky, Daniel H. Lowenstein, Shannon M. McGuire, Paul V. Motika, Edward J. Novotny, Ruth Ottman, Juliann M. Paolicchi, Jack Parent, Kristen Park, Annapurna Poduri, Ingrid E. Scheffer, Renee A. Shellhaas, Elliott Sherr, Joseph Sirven, Michael C. Smith, Joseph Sullivan, Liu Lin Thio, Anu Venkat, Eileen P. G. Vining, Gretchen K. Von Allmen, Judith L. Weisenberg, Peter Widdess-Walsh, Melodie R. Winawer
EUROPEAN JOURNAL OF HUMAN GENETICS
(2017)
Article
Clinical Neurology
Andrew S. Allen, Susannah T. Bellows, Samuel F. Berkovic, Joshua Bridgers, Rosemary Burgess, Gianpiero Cavalleri, Seo-Kyung Chung, Patrick Cossette, Norman Delanty, Dennis Dlugos, Michael P. Epstein, Catharine Freyer, David B. Goldstein, Erin L. Heinzen, Michael S. Hildebrand, Michael R. Johnson, Ruben Kuzniecky, Daniel H. Lowenstein, Anthony G. Marson, Richard Mayeux, Caroline Mebane, Heather C. Mefford, Terence J. O'Brien, Ruth Ottman, Steven Petrou, Slave Petrovski, William O. Pickrell, Annapurna Poduri, Rodney A. Radtke, Mark I. Rees, Brigid M. Regan, Zhong Ren, Ingrid E. Scheffer, Graeme J. Sills, Rhys H. Thomas, Quanli Wang, Bassel Abou-Khalil, Brian K. Alldredge, Dina Amrom, Eva Andermann, Frederick Andermann, Jocelyn F. Bautista, Samuel F. Berkovic, Judith Bluvstein, Alex Boro, Gregory D. Cascino, Damian Consalvo, Patricia Crumrine, Orrin Devinsky, Dennis Dlugos, Michael P. Epstein, Miguel Fiol, Nathan B. Fountain, Jacqueline French, Catharine Freyer, Daniel Friedman, Eric B. Geller, Tracy Glauser, Simon Glynn, Kevin Haas, Sheryl R. Haut, Jean Hayward, Sandra L. Helmers, Sucheta Joshi, Andres Kanner, Heidi E. Kirsch, Robert C. Knowlton, Eric H. Kossoff, Rachel Kuperman, Ruben Kuzniecky, Daniel H. Lowenstein, Paul V. Motika, Edward J. Novotny, Ruth Ottman, Juliann M. Paolicchi, Jack M. Parent, Kristen Park, Annapurna Poduri, Lynette G. Sadleir, Ingrid E. Scheffer, Renee A. Shellhaas, Elliott H. Sherr, Jerry J. Shih, Shlomo Shinnar, Rani K. Singh, Joseph Sirven, Michael C. Smith, Joseph Sullivan, Liu Lin Thio, Anu Venkat, Eileen P. G. Vining, Gretchen K. Von Allmen, Judith L. Weisenberg, Peter Widdess-Walsh, Melodie R. Winawer
Editorial Material
Clinical Neurology
Edward J. Novotny
Article
Pediatrics
Anne T. Berg, Jason Coryell, Russell P. Saneto, Zachary M. Grinspan, John J. Alexander, Mariana Kekis, Joseph E. Sullivan, Elaine C. Wirrell, Renee A. Shellhaas, John R. Mytinger, William D. Gaillard, Eric H. Kossoff, Ignacio Valencia, Kelly G. Knupp, Courtney Wusthoff, Cynthia Keator, William B. Dobyns, Nicole Ryan, Tobias Loddenkemper, Catherine J. Chu, Edward J. Novotny, Sookyong Koh
Article
Clinical Neurology
Anthony C. Wang, George M. Ibrahim, Andrew V. Poliakov, Page I. Wang, Aria Fallah, Gary W. Mathern, Robert T. Buckley, Kelly Collins, Alexander G. Weil, Hillary A. Shurtleff, Molly H. Warner, Francisco A. Perez, Dennis W. Shaw, Jason N. Wright, Russell P. Saneto, Edward J. Novotny, Amy Lee, Samuel R. Browd, Jeffrey G. Ojemann
JOURNAL OF NEUROSURGERY-PEDIATRICS
(2018)
Article
Clinical Neurology
Kurt E. Weaver, Andrew Poliakov, Edward J. Novotny, Jared D. Olson, Thomas J. Grabowski, Jeffrey G. Ojemann
JOURNAL OF NEUROSURGERY-PEDIATRICS
(2018)
Article
Neurosciences
Nancy X. R. Wang, Jared D. Olson, Jeffrey G. Ojemann, Rajesh P. N. Rao, Bingni W. Brunton
FRONTIERS IN HUMAN NEUROSCIENCE
(2016)
Article
Engineering, Biomedical
L. Bashford, J. Wu, D. Sarma, K. Collins, R. P. N. Rao, J. G. Ojemann, C. Mehring
JOURNAL OF NEURAL ENGINEERING
(2018)
Article
Behavioral Sciences
Sabra Zaraa, H. Steve White, Andy Stergachis, Edward Novotny Jr, Chris Protos, Grant Simic, Jennifer L. Bacci
Summary: This study used design thinking to develop a community pharmacist-led intervention for people living with epilepsy. Four features - pharmacist-patient consultations, care plan development, regular check-ins, and care coordination with other health care providers - were identified as desirable, feasible, and viable for the intervention. The study highlights the importance of involving pharmacists in epilepsy care and provides evidence-based features for such interventions.
EPILEPSY & BEHAVIOR
(2024)
Article
Clinical Neurology
Kelly L. Collins, Devapratim Sarma, Shahin Hakimian, Jeff J. Tsai, Jeffrey G. Ojemann
EPILEPSY & BEHAVIOR CASE REPORTS
(2019)
Article
Clinical Neurology
Jaakko Vallinoja, Timo Nurmi, Julia Jaatela, Vincent Wens, Mathieu Bourguignon, Helena Maenpaa, Harri Piitulainen
Summary: The study aimed to assess the effects of lesions related to spastic diplegic cerebral palsy on functional connectivity. Using multiple imaging modalities, the researchers found enhanced functional connectivity in the sensorimotor network of individuals with spastic diplegic cerebral palsy, which was not correlated with hand coordination performance.
CLINICAL NEUROPHYSIOLOGY
(2024)
Article
Clinical Neurology
Francesca Ginatempo, Nicola Loi, John C. Rothwell, Franca Deriu
Summary: This study comprehensively investigated sensorimotor integration in the cranial-cervical muscles of healthy adults and found that the integration of sensory inputs with motor output is profoundly influenced by the type of sensory afferent involved and the functional role played by the target muscle.
CLINICAL NEUROPHYSIOLOGY
(2024)