- 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
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Yihe Wang, Nan Huang, N. Mammone, Marco Cecchi, Xiang Zhang · 2025 · n/a
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Cites data paper 9 citations
- 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 8 citations
- 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
- 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 5 citations
- 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
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- Exploring Deep Learning Models for EEG Neural Decoding
Laurits Dixen, Stefan Heinrich, Paolo Burelli · 2025 · Lecture notes in computer science
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Mahsa Alidadi, Ramtin Hamavar, Ehsan Abbasi, Samaneh Nabavifard, Maryam Mohebbi, Babak Mohammadzadeh Asl · 2025 · Measurement
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Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan, Píetro Lió, Mohammad Ali Moni · 2025 · IEEE Transactions on Cognitive and Developmental Systems
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- A Novel Approach for the Early Identification of Genetic Risk Factors for Alzheimer’s Disease Using EEG and Psychometric Data
Shyamal Y. Dharia, Qian Liu, Stephen D. Smith, Camilo E. Valderrama · 2025 · IEEE Journal of Biomedical and Health Informatics
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- 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
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- 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
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- 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
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Huangjing Ni, Song Zi-Jie, Jiaolong Qin, Ye Wu, Qi Shi-Le, Song Ming · 2025 · Chinese Physics B
Cites data paper 1 citations
- 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 1 citations
- 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
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- 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
- 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
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- Subtle cortical thinning in the temporal pole in middle-aged APOE-ε4 and PICALM (rs3851179) AA/AG carriers without dementia
Patrycja Dzianok, Jakub Wojciechowski, Tomasz Wolak, Ewa Kublik · 2026 · Neurobiology of Aging
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- Intelligent and inclusive EEG-driven authentication for gender fairness and cognitive impairment
Toan Quoc Nguyen, Chenhan Zhang, Linh Le, David Williams King, Long Tuan Vo, Juliette Murris, Shiyao Zhang, Nghia Duong Trung · 2026 · Intelligence & Robotics
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- 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
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- 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
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- 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)
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- 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
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- 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
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- 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)
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- A Granularity-Aware EEG Feature Framework for Psychopathology Dimension Prediction
Haofan Cheng, Jingjing Hu, Jingrong Pei, Shuaiqi Fu, Meilun Shen, Shuaiwen Fang, Meng Wang, Dan Guo, Jie Zhang · 2026 · n/a
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- 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
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- Multimodal data fusion for early risk prediction of disease
Wei Liu, Tong Zhou, K. Jia · 2026 · n/a
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- 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
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- Joint Generative Modeling of EEG and fMRI for Cognitive Task Simulation Using Adversarial Learning
Nirmal S. Nair, Ravi Prakash B · 2026 · Research Square
Cites dataset
- 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
- 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
- A Granularity-Aware EEG Feature Framework for Psychopathology Dimension Prediction
Haofan Cheng, Jingjing Hu, Jingrong Pei, Shuaiqi Fu, Meilun Shen, Shuai Fang, M Wang, Dan Guo, Jie M. Zhang · 2026 · arXiv (Cornell University)
Cites dataset