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UC San Diego Resting State EEG Data from Patients with Parkinson's Disease

on002778 · 25 high-confidence citations

  1. Characteristics and origin of anorogenic granites

    Marc C Loiselle · 1979 · Abstracts with Programs - Geological Society of America

    Cites dataset 980 citations

  2. Parkinson’s Disease Detection from Resting-State EEG Signals Using Common Spatial Pattern, Entropy, and Machine Learning Techniques

    Majid Aljalal, Saeed A. Aldosari, Khalil AlSharabi, Akram M. Abdurraqeeb, Fahd A. Alturki · 2022 · Diagnostics

    Cites dataset 84 citations

  3. Resting-state electroencephalography based deep-learning for the detection of Parkinson’s disease

    Mohamed Shaban, Amy W. Amara · 2022 · PLoS ONE

    Cites dataset 64 citations

  4. Fractal dimensions and machine learning for detection of Parkinson’s disease in resting-state electroencephalography

    Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo · 2024 · Neural Computing and Applications

    Cites dataset 31 citations

  5. Dopaminergic Modulation of Local Non-oscillatory Activity and Global-Network Properties in Parkinson’s Disease: An EEG Study

    Juanli Zhang, Arno Villringer, Vadim V. Nikulin · 2022 · Frontiers in Aging Neuroscience

    Cites dataset 28 citations

  6. A novel approach for Parkinson’s disease detection using Vold-Kalman order filtering and machine learning algorithms

    Fatma Lati̇foğlu, Sultan Penekli, Fırat Orhanbulucu, Muhammad E. H. Chowdhury · 2024 · Neural Computing and Applications

    Cites dataset 24 citations

  7. A framework for quantifying the coupling between brain connectivity and heartbeat dynamics: Insights into the disrupted network physiology in Parkinson's disease

    Diego Candia‐Rivera, Marie Vidailhet, Mario Chávez, Fabrizio De Vico Fallani · 2024 · Human Brain Mapping

    Cites dataset 20 citations

  8. Scale-Free Functional Brain Networks Exhibit Increased Connectivity, Are More Integrated and Less Segregated in Patients with Parkinson’s Disease following Dopaminergic Treatment

    Orestis Stylianou, Zalan Kaposzta, Akos Czoch, Leon Stefanovski, Andriy Yabluchanskiy, Frigyes Sámuel Rácz, Petra Ritter, András Eke, Péter Mukli · 2022 · Fractal and Fractional

    Cites dataset 12 citations

  9. A novel automated Parkinson’s disease identification approach using deep learning and EEG

    Marwa Obayya, Muhammad Kashif Saeed, Mashael Maashi, Saud S. Alotaibi, Ahmed S. Salama, Manar Ahmed Hamza · 2023 · PeerJ Computer Science

    Cites dataset 12 citations

  10. A Hybrid Convolutional–Transformer Approach for Accurate Electroencephalography (EEG)-Based Parkinson’s Disease Detection

    Chayut Bunterngchit, Laith H. Baniata, Hayder Albayati, Mohammad Baniata, Khalid Alharbi, Fanar Hamad Alshammari, Sangwoo Kang · 2025 · Bioengineering

    Cites dataset 7 citations

  11. BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories

    Andrea Zanola, Federico Del Pup, Camillo Porcaro, Manfredo Atzori · 2024 · Journal of Neural Engineering

    Cites dataset 6 citations

  12. TransformEEG: Towards improving model generalizability in deep learning-based EEG Parkinson’s disease detection

    Federico Del Pup, Riccardo Brun, Filippo Iotti, Edoardo Paccagnella, Mattia Pezzato, Sabrina Bertozzo, Andrea Zanola, Louis Fabrice Tshimanga, Henning Müller, Manfredo Atzori · 2025 · Neurocomputing

    Cites dataset 3 citations

  13. Fractal Dimensions and Machine Learning for Detection of Parkinson’s Disease in Resting-State EEG

    Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo · 2023 · Research Square

    Cites dataset 2 citations

  14. Temporal Patterns of EEG Connectivity Unveil Parkinson's Disease Progression: Insights from Machine Learning Analysis

    Caroline L. Alves, Loriz Francisco Sallum, Francisco Aparecido Rodrigues, Thaise G. L. de O. Toutain, Patrícia de Carvalho Aguiar, Michael Moeckel · 2024 · Research Square

    Cites dataset 1 citations

  15. Non-Linear Synthetic Time Series Generation for Electroencephalogram Data Using Long Short-Term Memory Models

    BAKR RASHID AL-QAYSI, Manuel Rosa-Zurera, Ali Abdulameer Aldujaili · 2025 · AI

    Cites dataset 1 citations

  16. A framework for quantifying the coupling between brain connectivity and heartbeat dynamics: Insights into the disrupted network physiology in Parkinson’s disease

    Diego Candia‐Rivera, Marie Vidailhet, Mario Chávez, Fabrizio De Vico Fallani · 2023 · medRxiv

    Cites dataset

  17. Transformer-Based Classification of Parkinson’s Disease from EEG Using BIDS-Formatted OpenNeuro Datasets

    Raven Lee, Caleb Cooper, Manliang Feng, Jinghe Mao · 2026 · Proceedings of the AAAI Symposium Series

    Cites dataset

  18. The more, the better? Evaluating the role of EEG preprocessing for deep learning applications

    Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Alessandra Bertoldo, Manfredo Atzori · 2024 · arXiv (Cornell University)

    Cites dataset

  19. What your brain activity says about you: A review of neuropsychiatric disorders identified in resting-state and sleep EEG data

    Joanna E. M. Scanlon, Arne Pelzer, Mahzad Gharleghi, Kay Fuhrmeister, Thomas Köllmer, Patrick Aichroth, Robert Göder, C. Hansen, Karen Insa Wolf · 2025 · ArXiv.org

    Cites dataset

  20. Scalable Pipeline for Analysis of Resting-State EEG Spectral Biomarkers in Ageing and Neurodegeneration

    Miresmaeili, Amir · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

  21. Scalable Pipeline for Analysis of Resting-State EEG Spectral Biomarkers in Ageing and Neurodegeneration

    Miresmaeili, Amir · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

  22. ΔΦ LOCAL FRACTURE ENERGY v1.0 A Reproducible Audit of Temporal Boundary Roughness in Auditory Mismatch Responses

    Thomas S. Mitchell · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

  23. ΔΦ LOCAL FRACTURE ENERGY v1.0 A Reproducible Audit of Temporal Boundary Roughness in Auditory Mismatch Responses

    Thomas S. Mitchell · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

  24. Emergent critical oscillations in motor cortex of Parkinson’s patients

    Cheng K. Ly, J. Samuel Sooter, Andrea K. Barreiro, Antonio J. Fontenele, Woodrow L. Shew · 2026 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites dataset

  25. Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection

    Nicholas R. Rasmussen, Longwei Wang, Rodrigue Rizk, Md Rezwanul Akter Pallab, Samuel Stuwart, Martina Mancini, Arun Singh, KC Santosh · 2026 · ArXiv.org

    Cites dataset

1 lower-confidence citations (not counted)
  1. Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review

    Tanvir Islam, Peter Washington · 2024 · Biosensors

    Cites dataset 18 citations