WE3.R2.37
State-Space Modeling of Cortical Beta Waves in Parkinson’s Disease
Toren Arginteanu, Yousef Salimpour, William Anderson, Johns Hopkins University, United States
Session:
WE3.R2: Wednesday Posters Topic 1 Poster
Track:
Bridging Neuroscience and AI for Personalized Therapies
Location:
Poster and Exhibit Room
Presentation Time:
Wed, 12 Nov, 12:00 - 14:00 PT (UTC -8)
Presentation
Discussion
Resources
No resources available.
Session WE3.R2
WE3.R2.31: Resting-State EEG’s Influence on Ipsilateral Motor Imagery ERS Could Enhance BCI Generalizability
Mohammad Y. M. Naser, Sylvia Bhattacharya, Kennesaw State University, United States
WE3.R2.32: sEMG-Driven Robotic Prosthesis and Analysis of Muscle Activation in Transfemoral Amputees and Able-Bodied Individuals
Pedro Ulhoa, Caio Fiorotti, Rodrigo Altoé, Teodiano Bastos-Filho, Rafhael de Andrade, Universidade Federal do Espírito Santo, Brazil
WE3.R2.33: Impact of Template and Electrode Configuration on EEG Microstate Analysis in Disorders of Consciousness
Kexu Zhang, Shandong Daizhuang Hospital, China; Xiyuan Lei, Shanghai Jiao Tong University, China; Anqi Wang, Hangzhou Normal University, China; Siyang Liu, Shanbao Tong, Shanghai Jiao Tong University, China; Haibo Di, Nantu Hu, Hangzhou Normal University, China; Xiaoli Guo, Shanghai Jiao Tong University, China
WE3.R2.34: Quaternion Rational Activations Functions
Nicolas André, Mohamed Morchid, Université d'Avignon, France
WE3.R2.35: DE-3DGAN: A Differential Entropy-Driven 3D Generative Framework for EEG-Based Emotion Recognition
Cheng Wang, Bingrui Geng, Communication University of China, China; Qiwei Song, Tsinghua University, China
WE3.R2.36: Supervised EEG-Based Vigilance State Classification in Preterm Infants
Gaia Burlando, University of Genoa, Italy; Valentina Marazzotta, IRCCS Istituto Giannina Gaslini, Italy; Sara Lanino, Sara Uccella, Annalisa Barla, Luca Antonio Ramenghi, Lino Nobili, Gabriele Arnulfo, University of Genoa, Italy
WE3.R2.37: State-Space Modeling of Cortical Beta Waves in Parkinson’s Disease
Toren Arginteanu, Yousef Salimpour, William Anderson, Johns Hopkins University, United States
WE3.R2.38: Heartbeat-Evoked Potentials as a Biomarker of Neurological Recovery After CA in Rodents
Beichen Shen, Mingfeng Cao, Nitish Thakor, Johns Hopkins University, United States
WE3.R2.39: Characterization of Data-driven ECoG Filters for Speech and Hand Motor Decoding in an ALS Patient
Josephine Wallner, Virginia Commonwealth University, United States; Miguel Angrick, Daniel Candrea, Shiyu Luo, Nathan Crone, Johns Hopkins University, United States; Dean Krusienski, Virginia Commonwealth University, United States
WE3.R2.40: Getting More from Less- Transfer Learning Improves Sleep Stage Decoding Accuracy in Peripheral Wearable Devices
William G. Coon, Diego Luna, Akshita Panagrahi, Johns Hopkins University Applied Physics Laboratory, United States; Matthew Reid, Johns Hopkins University, United States; Mattson Ogg, Johns Hopkins University Applied Physics Laboratory, United States
WE3.R2.41: Integrating Spatial-Temporal Channel Reliability with AI for Robust High-Frequency Oscillation Detection in Intracranial EEG
Behrang Fazli Besheli, Mayo Clinic, United States; Amir Hossein Ayyoubi, University of Minnesota, United States; Chandra Prakash Swamy, Bobby Mohan, Kai Miller, Jonathan Parker, Gregory Worrell, Nuri Ince, Mayo Clinic, United States
WE3.R2.42: Quantitative Exploration Of Sufficient Data Quantities For EEG Decomposition Using AMICA
Gwenevere Frank, Seyed Yahya Shirazi, University of California San Diego, United States; Jason Palmer, West Virginia University, United States; Gert Cauwenberghs, Scott Makeig, University of California San Diego, United States; Arnaud Delorme, University of California San Diego, Paul Sabatier University, United States
WE3.R2.43: Artifact Identification and Mitigation Strategies for Longitudinal Neural Data Collection Onboard the Medtronic Percept DBS Device
Rick Hanish, Thomas Kutcher, Rice University, United States; Tomasz Frączek, Baylor College of Medicine, United States; Raphael Bechtold, University of Washington, United States; Jeffrey Zhou, Rice University, United States; Saipravallika Chamarthi, Gabriel Reyes, Baylor College of Medicine, United States; Mark Libowitz, Ben Shofty, Brian Mickey, Brent Kious, University of Utah, United States; Wayne Goodman, Ankit Patel, Sameer Sheth, Baylor College of Medicine, United States; Jeffrey Herron, University of Washington, United States; Nicole Provenza, Baylor College of Medicine, United States
WE3.R2.44: Stability of the Default Mode Network estimated from electroencephalogram
Joana Silva, Elmeri Syrjänen, Elaine Astrand, Mälardalen University, Sweden
WE3.R2.45: Inference of Electrical Neural Stimulation Sensitivity from Recorded Spiking Activity using Artificial Neural Networks
Ethan Kato, Praful Vasireddy, Amrith Lotlikar, Jeff Brown, Andrew Phillips, Stanford University, United States; Pawel Hottowy, AGH University of Science and Technology, Poland; Alexander Sher, Alan Litke, University of California, Santa Cruz, United States; Subhasish Mitra, Stanford University, United States; Nishal Shah, Rice University, United States; EJ Chichilnisky, Stanford University, United States
WE3.R2.46: Exploring High-Density DOT for Three-dimensional Imaging of Mental State using CNN and Transformer Models
Jianan Chen, Huixin Yang, Yunjia Xia, Jinchen Li, Hanyang Wang, Tom Carlson, Hubin Zhao, University College London, United Kingdom
WE3.R2.47: Machine Learning-Enhanced High Density Near-Infrared Spectroscopy for Exercise Intensity Evaluation
Jinchen Li, Siana Jones, Alexandra Jamieson, Jianan Chen, Lamis Alghamdi, Ella Chawla, University College London, United Kingdom; Kianoush Nazarpour, The University of Edinburgh, United Kingdom; Robert Cooper, Hubin Zhao, University College London, United Kingdom
WE3.R2.48: Tracking Forearm Motor Units Across Constrained and Unconstrained Finger Force Control Tasks
Jan Bodenschlägel, Renato Mio, Aldo Faisal, University of Bayreuth, Germany
WE3.R2.49: Sub-Second Motor Imagery Classification via Functional Connectivity Graphs and SE-Transformer
Ghazal Rahmani-Sane, Sasan Haghani, Rutgers University, United States
WE3.R2.50: Expedited Deep Reinforcement Learning for Muscle Activation Control of Musculoskeletal Models with Knowledge Transfer Across Motor Tasks
Viet Thai Hoa Nguyen, Yue Wen, University of Central Florida, United States
WE3.R2.51: Feasibility of Upper Limb Motor Imagery BCI Control While Walking
Satyam Kumar, Hussein Alawieh, Frigyes Racz, Akhil Surapaneni, Jose Millan, University of Texas at Austin, United States
WE3.R2.52: Transient Brain-wide Co-activation Patterns in Infant Electroencephalography and Their Age-related Changes
KC Nkurumeh, Jesse Farrand, Guofa Shou, Han Yuan, University of Oklahoma, United States; Thubi Kolobe, University of Oklahoma Health Sciences Center, United States; Andrew Fagg, Lei Ding, University of Oklahoma, United States
WE3.R2.53: Rodent Hippocampal-Cortical Population Decoding and Interactions in Episodic Memory Tasks
Alex Hassett, Shijie Chen, New York University, United States; Zhe Chen, New York University Grossman School of Medicine, United States
WE3.R2.54: Electrooculography Based Eye Movement Classification for Computer Cursor Control
Chetan Pathrabe, University of California, San Diego, United States; Aditya Patil, COEP Technological University, India; Min Suk Lee, Abhinav Uppal, Gert Cauwenberghs, University of California, San Diego, United States; Yuchen Xu, Institute of Neural Computation, United States; Rohini Mudhalwadkar, COEP Technological University, India
WE3.R2.55: Enhanced EEG-based Tracking of DMN Activity using ICA and EEG Source Localization for a VR Psychedelic Environment
Parv Chordiya, Leon Lange, Ying Wu, University of California, San Diego, United States
WE3.R2.56: Accelerating Neuromorphic Deep Brain Stimulation Optimization through Knowledge Distillation and Enforced Sparsity
Binh Nguyen, Edward Mighetto, Dylan Louie, Jason Eshraghian, University of California, Santa Cruz, United States
WE3.R2.57: Influence of Electrical Double Layer and Amplifier Impedance on Intracortical Neural Signals
Prarthana Saikia, University College Dublin, Ireland; Karthik Sridhar, University of Rostock, Germany; Philip Kennedy, Neural Speech Inc., United States; Dinal Andreasen, Georgia Tech Research Institute, United States; Daniel O'Hare, Tyndall National Institute, Ireland; Madeleine M. Lowery, University College Dublin, Ireland
WE3.R2.58: Towards Stable and Calibration-Free Motor Imagery BCIs via Graph-Based Transfer Learning
Rishan Patel, Ziyue Zhu, Barney Bryson, Tom Carlson, Dai Jiang, Andreas Demosthenous, University College London, United Kingdom
WE3.R2.59: Increased Involuntary Motor Threshold Stimulation in Patients with Degenerative Cervical Myelopathy
Grace Haynes, University of Oklahoma, United States; Fauziyya Muhammad, University of Oklahoma Health Science Center, United States; Kenneth Weber, Stanford University School of Medicine, United States; Ali Khan, Sanaa Hameed, University of Oklahoma Health Science Center, United States; Lei Ding, University of Oklahoma, United States; Zachary Smith, University of Oklahoma Health Science Center, United States
WE3.R2.60: Quantification of stress granules under dynamic calcium-induced stress using deep learning based two-step segmentation
Asish Kumar Singh, Satya Deepika Neelapala, Megha Venkatesh, Vaibhav Dhyani, Soumya Jana, Saptarshi Majumdar, Lopamudra Giri, INDIAN INSTITUTE OF TECHNOLOGY, HYDERABAD, India
WE3.R2.61: From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data
Siwen Wang, Qingdao Academy, China; Shitou Zhang, the Chinese University of Hong Kong, China; Wan-Lin Chen, Dung Truong, Tzyy-Ping Jung, University of California, San Diego, United States
WE3.R2.62: Development of an EEG-based impulsivity severity estimation system in children with ADHD
Yu-Chi Zheng, Institute of Electrical and Control Engineering, Department of Electronics and Electrical Engineering National Yang Ming Chiao Tung University, Taiwan; Liang-Jen Wang, Department of Child and Adolescent Psychiatry Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taiwan; Li-Wei Ko, Institute of Electrical and Control Engineering, Department of Electronics and Electrical Engineering National Yang Ming Chiao Tung University, Taiwan
WE3.R2.63: A Framework to Analyze Cervical Spinal Cord Potentials in Sensor and Source Space
Markus E. Oberndorfer, Gernot R. Müller-Putz, Graz University of Technology, Austria
WE3.R2.64: Decoding Cognitive Flexibility with EEG in Individuals with Depression and Suicide Attempts
Xiaoxiao Sun, Xiaoyu Ye, Columbia University, United States; Ruxue Gong, Jayce Doose, Medical University of South Carolina, United States; Chichi Chang, Columbia University, United States; Corbin Ping, Sara Hashrmpour, Jacob Eade, Abby Williams, Gavin Doyle, Medical University of South Carolina, United States; Linbi Hong, Columbia University, United States; Christopher Sege, Medical University of South Carolina, United States; Danielle Taylor, Wayne State University, United States; Noam Schneck, Columbia University Irving Medical Center, United States; Robin Goldman, University of Wisconsin-Madison, United States; Mark George, Medical University of South Carolina, United States; Paul Sajda, Columbia University, United States; Lisa McTeague, Medical University of South Carolina, United States
WE3.R2.65: Machine Learning-Based Prediction of Speech Arrest During Direct Cortical Stimulation Mapping
Nikasadat Emami, Amirhossein Khalilian-Gourtani, Jianghao Qian, Antoine Ratouchniak, Xupeng Chen, Yao Wang, Adeen Flinker, New York University, United States
WE3.R2.66: EEG Blink Artifacts Can Identify Read Music in Listening and Imagery
Abhinav Uppal, Dillan Cellier, Min Lee, Sean Bauersfeld, Yuchen Xu, University of California, San Diego, United States; Shihab Shamma, University of Maryland, College Park, United States; Gert Cauwenberghs, Virginia de Sa, University of California, San Diego, United States
WE3.R2.67: Data Normalization Strategies for EEG Deep Learning
Dung Truong, Arnaud Delorme, Swartz Center for Computational Neuroscience, United States
WE3.R2.68: Calcium Transient Kinetics of Vagal Sensory Neuron Responses to Inflammatory Cytokines
Timothy Morgan, Feinstein Institutes for Medical Research, Northwell Health, United States; Aditya Shah, Woodbridge Academy Magnet School, United States; Kicheon Park, Feinstein Institutes for Medical Research, Northwell Health, United States; Tomas Huerta, Harvard Medical School, United States; Eric Chang, Feinstein Institutes for Medical Research, Northwell Health, United States
WE3.R2.69: Consistency Analyses of Open-source Software for Motor Unit Decomposition Using High-density Electromyography
Jirui Fu, Shiyu Zhang, Helen J. Huang, Mohsen Rakhshan, Yue Wen, University of Central Florida, United States
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