FR3.R2.41
Role of Sensory and Motor Local Field Potentials in the Encoding of Time Interval During a Voluntary Motor Timing Task
Mohammad Taghi Ghodrati, Kristina Lebedev, Furqan Arshad, Ryan Morelli, Karen Moxon, University o f California, Davis, United States
Session:
FR3.R2: Friday Posters Topic 1 Poster
Track:
Bridging Neuroscience and AI for Personalized Therapies
Location:
Poster and Exhibit Room
Presentation Time:
Fri, 14 Nov, 12:00 - 14:00 PT (UTC -8)
Presentation
Discussion
Resources
No resources available.
Session FR3.R2
FR3.R2.31: Tracking Attention with SSVEPs During Cinematic Experience
Laura Renz, Roger Alexis Vargas Perera, Farah Corona-Strauss, Daniel J. Strauss, Universität des Saarlandes, Germany
FR3.R2.32: Stroke and Neural Dynamics: Exploring recovery from focal ischemic infarcts in the latent space
Federico Barban, Università di Genova, Italy; Matthew Nishimoto, University of Kansas, United States; Heather Hudson, University of Kansas Medical Center, United States; Davide Giambarbara, Michela Chiappalone, Università di Genova, Italy; Randolph Nudo, David Guggenmos, University of Kansas Medical Center, United States
FR3.R2.33: The Effects of Video Passthrough Feature on β/α Ratio in VR
Michihiro Kubo, Shunya Ito, Kengen Koshino, Ryota Horie, Shibaura Institute of Technology, Japan
FR3.R2.34: Non-Invasive Detection of Parkinson’s Disease Using Voice Signal Analysis and Machine Learning
Andreína Tesis, Pablo Cancela, University of the Republic, Uruguay
FR3.R2.35: A Cross-Species Foundation Model for Biosignals: A Domain-Adversarial Framework for Objective Pain Assessment in Canines
Catherine Ahn, Ryungyu Yang, Tony Choi, Young Kim, PetLepathy, Korea (South)
FR3.R2.36: Gamified Real-Time sEMG Brain-Machine Interface
Dheemant Jallepalli, Luigi Borda, Doug Weber, Carnegie Mellon University, United States
FR3.R2.37: Validation of a Sleep and Seizure Classifier to Various Species and Recording Conditions
Benjamin Moxon, Nigel Pederson, Christelle Anaclet, Gene Gurkoff, Brandon Harvey, Calixto Joaquin Alvarez, Ali Izadi, UC Davis, United States
FR3.R2.38: Real-Time Spike Sorting with SpikeDashboard
Juwayni Lucman, Chaimaa Abi, Dongning Ma, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates; Raghavendra Pradyumna Pothukuchi, The University of North Carolina at Chapel Hill, United States; Luciano Dyballa, IE University, Spain; Abhishek Bhattacharjee, Yale University, United States; James E. Smith, University of Wisconsin-Madison, United States; Abdulrahman Mahmoud, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates
FR3.R2.39: Frontal EEG Spectral Power as Indices of Cognitive Workload for Challenge-Point Adaptive Rehabilitation
Naomi Thomas, Dalya Al-Mfarej, Aravind Ravi, James Tung, University of Waterloo, Canada
FR3.R2.40: Unsupervised Learning Framework for Switching Dynamical Systems with Spike-Field Observations
DongKyu Kim, Christian Y. Song, Han-Lin Hsieh, Maryam M. Shanechi, University of Southern California, United States
FR3.R2.41: Role of Sensory and Motor Local Field Potentials in the Encoding of Time Interval During a Voluntary Motor Timing Task
Mohammad Taghi Ghodrati, Kristina Lebedev, Furqan Arshad, Ryan Morelli, Karen Moxon, University o f California, Davis, United States
FR3.R2.42: Frequency Response of Impedance Changes in the Rat Brain During Evoked Activity
Florencia Maurino-Alperovich, University College London, United Kingdom; Mor Shimshi, Columbia University, United States; David Holder, University College London, United Kingdom; Kenneth Shepard, Columbia University, United States; Kirill Aristovich, University College London, United Kingdom
FR3.R2.43: Neural Data Requirements for Estimation of Dynamic Partial Directed Coherence
David Zheng, Ariana Moghbel, Karen Moxon, University of California, United States
FR3.R2.44: The self-reported motivation of three paraplegics does not influence the performance of the BCI-FES in a seated position
Felipe Augusto Fiorin, Universidade Estadual de Londrina, Brazil; Hygor V. P. Martins, Universidade Tecnológica Federal do Paraná, Brazil; Christiane Henriques Ferreira, Universidade Estadual de Londrina, Brazil; Maurício Moreira, Daniel Prado de Campos, Universidade Tecnológica Federal do Paraná, Brazil; Eddy Krueger, Universidade Estadual de Londrina, Brazil
FR3.R2.45: Task-Evoked Beta Coherence Informs SVM Classification of Treatment-Resistant Depression
Saipravallika Chamarthi, Jiayang Xiao, Raissa Mathura, Sanjay Mathew, Wayne Goodman, Baylor College of Medicine, United States; Nader Pouratian, UT Southwestern Medical Center, United States; Sarah Heilbronner, Sameer Sheth, Eleonora Bartoli, Nicole Provenza, Baylor College of Medicine, United States
FR3.R2.46: Classifying Symmetric and Asymmetric Bimanual Object Manipulation from EEG Signals
Reimar Francisco, Qiushi Fu, University of Central Florida, United States
FR3.R2.47: Virtual Pet Interaction for Stress Recovery: An EEG-Based Pilot Study in Virtual Reality
Seoyeon Lim, Sookmyung Women's University, Korea (South); Ying Choon Wu, Tzyy-Ping Jung, University of California at San Diego, United States; Suh-Yeon Dong, Sookmyung Women's University, Korea (South)
FR3.R2.48: Validating Vagus Nerve Stimulation Fiber Activity Metrics
Cheng-Yu Chen, Antonio Jimenez Caballero, Edgar Peña, University of Minnesota, United States
FR3.R2.49: Generalizable Automated Optimization Pipeline for Adaptive Deep Brain Stimulation Parameter Selection in Parkinson’s Disease
Jiaang Yao, University of California, San Francisco, United States; Lauren Hammer, University of Pennsylvania, United States; Chengchun Shi, London School of Economics and Political Science, United Kingdom; Jiyeon Suh, University of California, San Francisco, United States; Lexin Li, University of California, Berkeley, United States; Daryl Lawrence, Philip Starr, Simon Little, University of California, San Francisco, United States
FR3.R2.50: Signal-to-noise Performance of the UCL ScouseTom, Zurich MFLI Lock-in Amplifier, and Commercial Sciospec EIT Systems for Recording Fast Neural Impedance Changes
Shaykhah Almaghrabi, David Holder, University college London, United Kingdom
FR3.R2.51: Weight-Bearing Sensory-Motor Neural Activity Recorded byY-shaped Regenerative Ultrathin Microelectrodes
Mario Romero-Ortega, Darianne Sanchez, Kareem Hussein, University of Arizona, United States; Stuart Cogan, University of Texas Dallas, United States
FR3.R2.52: FIBER: EEG Signal Classification System for Fibromyalgia-Associated Neural Patterns Using Quantum-Enhanced Processing
Dhruv Sharma, BASIS Independent Silicon Valley, United States
FR3.R2.54: A Closed-Loop Real-Time EEG Framework with Adaptive Denoising and Online Learning for Emotion Classification
Wendeng Wang, Sheng-Hsio Hsu, Tzyy-Ping Jung, Ying Wu, UCSD, United States
FR3.R2.55: Interlimb Generalization of EEG Motor Intent Decoding in a Functional Task
Aikansh Prakash Shenoy, Reimar Francisco, Qiushi Fu, University of Central Florida, United States
FR3.R2.56: Neuromorphic Computing for Fingertip Force Decoding from High-Density Surface EMG
Abolfazl Shahrooei, Luke Arthur, Derek Kamper, North Carolina State University, United States
FR3.R2.57: A Real-Time Closed-Loop EEG-Based Brain–Computer Interface for Robotic Arm Control via Motor Imagery
Ozgur Ege Aydogan, Ding Changhao, Osaka University, Japan; Rousslan Fernand Julien Dossa, Kai Arulkumaran, Araya Inc., Japan; Takufumi Yanagisawa, Osaka University, Japan
FR3.R2.58: State-Dependent Neural Dynamics: Predicting Local Events from Global Brain States
David Geng, Avniel Ghuman, Carnegie Mellon University, University of Pittsburgh, United States
FR3.R2.59: Early Prediction of Post-Traumatic Epilepsy Using Intracranial ECoG and Temporal EEG Feature Modeling
Xiaojue Zhou, Anthony Mefford, Roxanne Simmons, Ziyuan YIN, Rajanikant Panda, Siddharth Narula, Kevin Bao, Adeline Hayman, University of California San Francisco, United States; Narayan Sankaran, University of San Francisco, United States; David Caldwell, University of California San Francisco, United States; Matheus Otero, Mount Sinai Health System, United States; Britta Lindquist, University of California San Francisco, United States; Vishnu Karukonda, University of California Berkeley, United States; Anthony Digiorgio, Phiroz Tarapore, University of California San Francisco, United States; Lawrence Chyall, Zuckerberg San Francisco General Hospital, United States; Edward Chang, Claude Hemphill, Geoffrey Manley, Michael Huang, Edilberto Amorim, University of California San Francisco, United States
FR3.R2.60: Evaluating the Clinical Utility of Deep Learning-based Automated Interictal Epileptiform Discharge Detection from EEG in Psychiatric Settings
Hiroya Mitachi, Koaikai Medical Corporation / The University of Tokyo, Japan; Toyotaro Suzumura, The University of Tokyo, Japan; Shotaro Akahori, Koaikai Medical Corporation, Japan
FR3.R2.61: Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures
Behtom Adeli, John McLinden, University of Rhode Island, United States; Pankaj Pandey, St. Jude Children's Research Hospital, United States; Ming Shao, University of Massachusetts Lowell, United States; Yalda Shahriari, University of Rhode Island, United States
FR3.R2.61: Analysis of Spatial Synchrony and Alternative Phase Retrieval Methods Using Phase Locking Value
Jack Coursen, Toren Arginteanu, Yousef Salimpour, William Anderson, Johns Hopkins University, United States
FR3.R2.62: EEG-Based Hybrid Feature System for Early Differentiation of FTD, Alzheimer’s Disease, and Healthy Subjects
Ingrid Rodriguez Leon, Salman Mostafa, NA, United States
FR3.R2.63: Noradrenaline Dynamics and Machine Learning Classification of Arousal Transitions in Mouse NREM Sleep
Fazla Rabbi Mashrur, University of Rochester, United States; Celia Kjaerby, Verena Untiet, University of Copenhagen, Denmark; Maiken Nedergaard, University of Rochester Medical Center, United States; Mujdat Cetin, University of Rochester, United States
FR3.R2.64: Brain Connectivity Differences in Stressed vs. Non-Stressed Young Adults in Academic Environments
Deepa Gupta, University of California San Diego, United States
FR3.R2.65: Low-Cost Wearable EEG for One-Step Assessment in Rural Settings
leonie ghermay, Independent, United States
FR3.R2.66: Toward EEG-Based Image Reconstruction: Leveraging Affective Stimuli to Enhance ERP Signals
Dabin Bae, Suh-Yeon Dong, Sookmyung Women's University, Korea (South)
FR3.R2.67: EEG-to-ECoG Transfer Learning for Enhanced Seizure Detection
Khouloud Issa, Sahera Saleh, Massoud Khraiche, American University of Beirut, Lebanon
FR3.R2.68: Riemannian Geometry: Speech Detection from MEG Brain Signals towards Non-Invasive BCI
Priyanshu Vij, Aryan Mangla, Manipal Institute of Technology, India; Raj Mehta, Cornell, United States; Jonas De Schouwer, Stanford, United States
FR3.R2.69: XBrainLab: An Open-Source Software for Explainable Artificial Intelligence-Based EEG Analysis
Chia-Ying Hsieh, Jing-Lun Chou, Yu-Hsin Chang, Chun-Shu Wei, National Yang Ming Chiao Tung University, Taiwan
FR3.R2.70: EEG Neural Dynamics in Oddball Task with Polarity-Considered Microstates Labeling
Tatsumi Tsubaki, Nagaoka University of Technology, Japan; Shiho Kashihara, Fukuoka University, Japan; Tomohisa Asai, Advanced Telecommunications Research Institute International, Japan; Hiroshi Imamizu, The University of Tokyo, Japan; Isao Nambu, Nagaoka University of Technology, Japan
FR3.R2.71: Effect of neurofeedback on sensorimotor rhythm modulation in stroke survivors
Rinku Roy, North Carolina State University (NCSU)/ University of North Carolina (UNC) Joint Department of Biomedical Engineering, United States; James James Ailsworth, Postdoctoral Research Fellow, United States; Derek Kamper, Associate Professor, United States
Contacts