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A Polish Electroencephalography, Alzheimer’s Risk-genes, Lifestyle and Neuroimaging (PEARL-Neuro) Database

ds004796 · 29 high-confidence citations

  1. GREEN: A lightweight architecture using learnable wavelets and Riemannian geometry for biomarker exploration with EEG signals

    Joseph Paillard, Joerg F. Hipp, Denis A. Engemann, Denis A Engemann · 2025 · Patterns

    Cites data paper 18 citations

  2. LEAD: An EEG Foundation Model for Alzheimer's Disease Detection

    Yihe Wang, Nan Huang, N. Mammone, Marco Cecchi, Xiang Zhang · 2025 · n/a

    Cites data paper 14 citations

  3. Dual-Transformer Cross-Attention Framework for Alzheimer’s disease detection via dPTE-Guided EEG channel selection and multi-modal integration

    Shyamal Y. Dharia, Qian Liu, Stephen D. Smith, Camilo E. Valderrama · 2025 · Biomedical Signal Processing and Control

    Cites data paper 7 citations

  4. Exploring Task-Related EEG for Cross-Subject Early Alzheimer’s Disease Susceptibility Prediction in Middle-Aged Adults Using Multitaper Spectral Analysis

    Ziyang Li, Hong Wang, Jia-Ning Song, Jiale Gong · 2024 · Sensors

    Cites data paper 6 citations

  5. Alzheimer's disease-like features in resting state EEG/fMRI of cognitively intact and healthy middle-aged <i>APOE</i> / <i>PICALM</i> risk carriers

    Patrycja Dzianok, Jakub Wojciechowski, Tomasz Wolak, Ewa Kublik · 2025 · Journal of Alzheimer s Disease

    Cites data paper 6 citations

  6. Task-Related EEG as a Biomarker for Preclinical Alzheimer’s Disease: An Explainable Deep Learning Approach

    Ziyang Li, Hong Wang, Lei Li · 2025 · Biomimetics

    Cites dataset 4 citations

  7. SingLEM: Single-Channel Large EEG Model

    Jamiyan Sukhbaatar, S. Imamura, Ibuki Inoue, Shoya Murakami, Kazi Mahmudul Hassan, Seungwoo Han, Ingon Chanpornpakdi, Toshihisa Tanaka · 2025 · ArXiv

    Cites data paper 3 citations

  8. Exploring Deep Learning Models for EEG Neural Decoding

    Laurits Dixen, Stefan Heinrich, Paolo Burelli · 2025 · Lecture notes in computer science

    Cites data paper 2 citations

  9. Understanding Neurocognition With Deep Learning and MRI: A Systematic Review

    Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan, Pietro Lio', Mohammad Ali Moni · 2026 · IEEE Transactions on Cognitive and Developmental Systems

    Cites data paper 2 citations

  10. Integration of AI With ML for Neuropsychological Applications

    Prabhjeet Kaur, Channi Sachdeva, Ravi Kumar Gupta, Lokesh Jasrai · 2025 · Advances in psychology, mental health, and behavioral studies (APMHBS) book series

    Cites data paper 1 citations

  11. Transforming Brainwaves into Language: EEG Microstates Meet Text Embedding Models for Dementia Detection

    Q. Nguyen, Linh Le, Xuan-The Tran, Dorothy Bai, Nghia Duong-Trung, T. Do, Chin-Teng Lin · 2025 · n/a

    Cites data paper 1 citations

  12. LEAD: An EEG Foundation Model for Alzheimer's Disease Detection

    Yihe Wang, Nan Huang, Nadia Mammone, Marco Cecchi, Xiang Zhang · 2025 · arXiv (Cornell University)

    Cites dataset 1 citations

  13. Explainable AI for Dementia Detection Using EEG Microstates

    Quoc-Toan Nguyen, Linh Le, David Williams-King, Quang-Hieu Tang, Nghia Duong-Trung · 2026 · Companion Proceedings of the 31st International Conference on Intelligent User Interfaces

    Cites data paper

  14. Disrupted theta oscillation propagation in healthy elderly individuals with apolipoprotein E epsilon 4 allele

    Duho Sihn, Min‐Ki Kim, Sung-Phil Kim · 2025 · Frontiers in Neuroscience

    Cites dataset

  15. The Selective Vulnerability of the Left Fimbria in Cognitively Normal APOE ε4 Carriers: A Localized Structural Correlate of High Genetic Risk for Alzheimer’s Disease

    Yihan Suo, Luoyu Wang, Yuanyuan Zhao, Qingqing Wen, Qi Feng, Han Zhang, Zhongxiang Ding · 2026 · Behavioural Brain Research

    Cites data paper

  16. Cortical thinning in temporal pole, a core region in Alzheimer’s disease, in non-demented, middle-aged <i>APOE</i> -ε4 and <i>PICALM</i> -AA/AG carriers

    Patrycja Dzianok, Jakub Wojciechowski, Tomasz Wolak, Ewa Kublik · 2025 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites data paper

  17. EEG-based Alzheimer’s disease detection: Past, present, and future

    Mahsa Alidadi, Ramtin Hamavar, Ehsan Abbasi, Samaneh Nabavifard, Maryam Mohebbi, Babak Mohammadzadeh Asl · 2025 · Measurement

    Cites data paper

  18. Exploring the interaction of APOE- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>ε</mml:mi> <mml:mn>4</mml:mn> </mml:mrow> </mml:math> and PICALM rs3851179 with dynamic functional connectivity in healthy middle-aged adults at risk for Alzheimer’s disease

    Shyamal Y. Dharia, Camilo E. Valderrama, Qian Liu, Stephen D Smith · 2026 · Journal of Neural Engineering

    Cites data paper

  19. Augmenting Spline Interpolated Dementia EEG Data with Deep Learning for Improved Multi-Centric Data Harmonization

    Matthew Chen, Benoit Marteau, Micky C. Nnamdi, J. Ben Tamo, May D. Wang · 2025 · 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

    Cites data paper

  20. Sex differences in APOE- and PICALM-related cognitive profiles in healthy middle-aged adults

    Adam Bednorz, Paulina Trybek, Minh Tuan Hoang, Dorota Religa · 2026 · Frontiers in Aging

    Cites dataset

  21. ERP-based cognitive load decoding in middle-aged adults: effects of Alzheimer’s risk

    Ziyang Li, Jia-Ning Song, Hong Wang, T. Z. Li, Mohamed Amin Gouda, Jiale Gong · 2025 · Medical & Biological Engineering & Computing

    Cites data paper

  22. A novel baseline perspective visibility graph for time series analysis

    Huangjing Ni, Song Zi-Jie, Jiaolong Qin, Ye Wu, Qi Shi-Le, Song Ming · 2025 · Chinese Physics B

    Cites data paper

  23. Non-Parametric Spectral Analysis of Slow Wave Activity in Resting-State EEG as a Biomarker of Dementia Risk

    Waldemar Bauer, Mariusz Pelc, Katarzyna Bialas, Tomasz Kajdanowicz, Aleksandra Kawala-Sterniuk · 2025 · 2025 IEEE International Conference on Data Mining Workshops (ICDMW)

    Cites data paper

  24. Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review

    Shihao Yang, Xiying Huang, Danilo Bernardo, Jun-En Ding, Andrew Michael, Guoan Wang, Jingmei Yang, Alison Anderson, D. Giritharan, P. Kwan, A. Raj, Yu Zhang, Feng Liu · 2026 · Meta-Radiology

    Cites data paper

  25. OmniEEG-Bench: A Standardized Evaluation Benchmark for EEG Foundation Models

    Zilin Lu, Zongsheng Li, Xinke Shen, Kexin Lou, Ying Xin, Xiaoqing Chen, Shinan Wang, Xiangyu Chen, Jiahao Fan, Chenyu Huang, Xin Xu, Zhoujie Hou, Chen Wei, Quanying Liu · 2026 · n/a

    Cites data paper

  26. Multimodal data fusion for early risk prediction of disease

    Wei Liu, Tong Zhou, K. Jia · 2026 · n/a

    Cites data paper

  27. A Synoptic Review of High-Frequency Oscillations as a Biomarker in Neurodegenerative Disease

    Samin Yaser, Mahad Ali, Yang Jiang, P. Nguyen, J. Xiang, L. Brattain · 2025 · n/a

    Cites data paper

  28. Preclinical Neural Divergence associated with Genetic Risk for Alzheimer's Disease: A Multimodal Resting-State EEG and Neuroimaging Study

    Shlok Khare · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

  29. Preclinical Neural Divergence associated with Genetic Risk for Alzheimer's Disease: A Multimodal Resting-State EEG and Neuroimaging Study

    Shlok Khare · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset