- A Dataset of Scalp EEG Recordings of Alzheimer’s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG
Ανδρέας Μιλτιάδους, Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Nikolaos Grigoriadis, Dimitrios Tsalikakis, Pantelis Angelidis, Markos G. Tsipouras, Euripidis Glavas, Νικόλαος Γιαννακέας, Alexandros T. Tzallas · 2023 · Data
Cites dataset 251 citations
- DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals
Ανδρέας Μιλτιάδους, Emmanouil Gionanidis, Katerina D. Tzimourta, Νικόλαος Γιαννακέας, Alexandros T. Tzallas · 2023 · IEEE Access
Cites dataset 168 citations
- Multi-feature fusion learning for Alzheimer's disease prediction using EEG signals in resting state
Yonglin Chen, Huabin Wang, Dailei Zhang, Liping Zhang, Liang Tao · 2023 · Frontiers in Neuroscience
Cites data paper 65 citations
- EEG Signal Processing for Medical Diagnosis, Healthcare, and Monitoring: A Comprehensive Review
Nisreen Said Amer, Samir Brahim Belhaouari · 2023 · IEEE Access
Cites data paper 58 citations
- Diagnosis of Alzheimer’s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features
Xiaowei Zheng, Bozhi Wang, Hao Liu, Wencan Wu, Jiamin Sun, Wei Fang, Rundong Jiang, Yajie Hu, Jin Cheng, Xin Wei, Steve Shyh-Ching Chen · 2023 · Frontiers in Aging Neuroscience
Cites data paper 57 citations
- EEG biomarkers in Alzheimer’s and prodromal Alzheimer’s: a comprehensive analysis of spectral and connectivity features
Chowtapalle Anuraag Chetty, Harsha Bhardwaj, G. Pradeep Kumar, T Devanand, C. S. Aswin Sekhar, Tuba Aktürk, İlayda Kıyı, Görsev Yener, Bahar Güntekin, Justin Joseph, Chinnakkaruppan Adaikkan · 2024 · Alzheimer s Research & Therapy
Cites data paper 55 citations
- STEADYNet: Spatiotemporal EEG analysis for dementia detection using convolutional neural network
Pramod Kachare, Sandeep B. Sangle, Digambar Puri, Mousa Mohammed Khubrani, Ibrahim Al–Shourbaji · 2024 · Cognitive Neurodynamics
Cites data paper 53 citations
- LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection
Pramod Kachare, Digambar Puri, Sandeep B. Sangle, Ibrahim Al–Shourbaji, Abdoh Jabbari, Raimund Kirner, Abdalla Alameen, Hazem Migdady, Laith Abualigah · 2024 · Physical and Engineering Sciences in Medicine
Cites data paper 52 citations
- The effect of aperiodic components in distinguishing Alzheimer’s disease from frontotemporal dementia
Zhuyong Wang, Anyang Liu, Jianshen Yu, Pengfei Wang, Yue-Wei Bi, Sha Xue, Jiajun Zhang, Hongbo Guo, Wangming Zhang · 2023 · GeroScience
Cites dataset 48 citations
- A Comparative Study on Feature Extraction Techniques for the Discrimination of Frontotemporal Dementia and Alzheimer’s Disease with Electroencephalography in Resting-State Adults
Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo · 2024 · Brain Sciences
Cites dataset 48 citations
- Differentiating Between Alzheimer’s Disease and Frontotemporal Dementia Based on the Resting-State Multilayer EEG Network
Yajing Si, Runyang He, Lin Jiang, Dezhong Yao, Hongxing Zhang, Peng Xu, Xuntai Ma, Liang Yu, Fali Li · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
Cites dataset 47 citations
- A Novel CNN-Based Framework for Alzheimer’s Disease Detection Using EEG Spectrogram Representations
Kostas Stefanou, Katerina D. Tzimourta, Christos Bellos, Georgios S. Stergios, Konstantinos Markoglou, Emmanouil Gionanidis, Markos G. Tsipouras, Νικόλαος Γιαννακέας, Alexandros T. Tzallas, Ανδρέας Μιλτιάδους · 2025 · Journal of Personalized Medicine
Cites dataset 40 citations
- EEG-based classification of Alzheimer’s disease and frontotemporal dementia: a comprehensive analysis of discriminative features
Mehran Rostamikia, Yashar Sarbaz, Somayeh Makouei · 2024 · Cognitive Neurodynamics
Cites dataset 38 citations
- Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders
Souhaila Khalfallah, William Puech, Mehdi Tlija, Kais Bouallegue · 2025 · IEEE Access
Cites data paper 33 citations
- Generative AI Enables EEG Data Augmentation for Alzheimer’s Disease Detection Via Diffusion Model
Tong Zhou, Xuhang Chen, Yanyan Shen, Martin Nieuwoudt, Chi‐Man Pun, Shuqiang Wang · 2023 · n/a
Cites data paper 32 citations
- Time-Frequency functional connectivity alterations in Alzheimer’s disease and frontotemporal dementia: An EEG analysis using machine learning
Huang Zheng, Han Xiao, Y Zhang, Haozhe Jia, Xing Ma, Yiqun Gan · 2024 · Clinical Neurophysiology
Cites data paper 32 citations
- A novel optimal wavelet filter banks for automated diagnosis of Alzheimer’s disease and mild cognitive impairment using Electroencephalogram signals
Digambar Puri, Jayanand P. Gawande, Jaswantsing L. Rajput, Sanjay L. Nalbalwar · 2023 · Decision Analytics Journal
Cites data paper 31 citations
- Classification of Alzheimer’s Disease and Frontotemporal Dementia Using Electroencephalography to Quantify Communication between Electrode Pairs
Yuan Ma, Jeffrey Bland, Tsutomu Fujinami · 2024 · Diagnostics
Cites dataset 27 citations
- Metaheuristic optimized time–frequency features for enhancing Alzheimer’s disease identification
Digambar Puri, Pramod Kachare, Sanjay L. Nalbalwar · 2024 · Biomedical Signal Processing and Control
Cites data paper 26 citations
- Optimal time-frequency localized wavelet filters for identification of Alzheimer’s disease from EEG signals
Digambar Puri, Jayanand P. Gawande, Pramod Kachare, Ibrahim Al–Shourbaji · 2025 · Cognitive Neurodynamics
Cites data paper 24 citations
- EEGConvNeXt: A novel convolutional neural network model for automated detection of Alzheimer's Disease and Frontotemporal Dementia using EEG signals
Madhav R. Acharya, Ravinesh C. Deo, Prabal Datta Barua, Aruna Devi, Xiaohui Tao · 2025 · Computer Methods and Programs in Biomedicine
Cites data paper 24 citations
- Electroencephalogram (EEG) Based Fuzzy Logic and Spiking Neural Networks (FLSNN) for Advanced Multiple Neurological Disorder Diagnosis
Shraddha Jain, Rajeev Srivastava · 2025 · Brain Topography
Cites data paper 24 citations
- Beta-to-Theta Entropy Ratio of EEG in Aging, Frontotemporal Dementia, and Alzheimer's Dementia
Ahmad Zandbagleh, Ανδρέας Μιλτιάδους, Saeid Sanei, Hamed Azami · 2024 · American Journal of Geriatric Psychiatry
Cites data paper 22 citations
- Multi-Threshold Recurrence Rate Plot: A Novel Methodology for EEG Analysis in Alzheimer’s Disease and Frontotemporal Dementia
Huang Zheng, Xingliang Xiong, Xuejun Zhang · 2024 · Brain Sciences
Cites dataset 21 citations
- Exploring new horizons in neuroscience disease detection through innovative visual signal analysis
Nisreen Said Amer, Samir Brahim Belhaouari · 2024 · Scientific Reports
Cites data paper 21 citations
- Different oscillatory mechanisms of dementia-related diseases with cognitive impairment in closed-eye state
Talifu Zikereya, Yu‐Chen Lin, Zhizhen Zhang, Ignacio Taguas, Kaixuan Shi, Chuanliang Han · 2024 · NeuroImage
Cites data paper 20 citations
- Enhanced EEG-based Alzheimer’s disease detection using synchrosqueezing transform and deep transfer learning
Shraddha Jain, Rajeev Srivastava · 2025 · Neuroscience
Cites data paper 20 citations
- Alzhemimer’s Disease is Characterized by Lower Segregation in Resting-State Eyes-Closed EEG
Serap Aydın · 2024 · Journal of Medical and Biological Engineering
Cites data paper 19 citations
- Classification for Alzheimer's disease and frontotemporal dementia via resting-state electroencephalography-based coherence and convolutional neural network
Rundong Jiang, Xiaowei Zheng, Jiamin Sun, Lei Chen, Guanghua Xu, Rui Zhang · 2025 · Cognitive Neurodynamics
Cites data paper 18 citations
- Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation
Andrei Velichko, Maksim Belyaev, Yuriy Izotov, M. Murugappan, Hanif Heidari · 2023 · Algorithms
Cites dataset 17 citations
- Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang · 2024 · arXiv (Cornell University)
Cites dataset 16 citations
- Multi-Class Detection of Neurodegenerative Diseases from EEG Signals Using Lightweight LSTM Neural Networks
Laura Falaschetti, Giorgio Biagetti, Michele Alessandrini, Claudio Turchetti, Simona Luzzi, Paolo Crippa · 2024 · Sensors
Cites data paper 15 citations
- EEG-based neurodegenerative disease diagnosis: comparative analysis of conventional methods and deep learning models
B R Nayana, M Pavithra, S Chaitra, T N Bhuvana Mohini, Thompson Stephan, Vijay Mohan, Neha Agarwal · 2025 · Scientific Reports
Cites data paper 15 citations
- Evaluating EEG complexity and spectral signatures in Alzheimer’s disease and frontotemporal dementia: evidence for rostrocaudal asymmetry
Kassra Ghassemkhani, Kevin S. Saroka, Blake T. Dotta · 2025 · npj Aging
Cites dataset 14 citations
- An explainable and efficient deep learning framework for EEG-based diagnosis of Alzheimer's disease and frontotemporal dementia
Waqar Ali Khan, Muhammad Shahbaz Khan, Sultan Noman Qasem, Wad Ghaban, Faisal Saeed, Muhammad Fainan Hanif, Jawad Ahmad · 2025 · Frontiers in Medicine
Cites data paper 14 citations
- EEG-FM-Bench: A Comprehensive Benchmark for the Systematic Evaluation and Diagnostic Analyses of EEG Foundation Models
Wei Xiong, Jiangtong Li, Jie Li, Kun Zhu, Changjun Jiang · 2025 · n/a
Cites data paper 14 citations
- Quantitative Electroencephalography Markers for an Accurate Diagnosis of Frontotemporal Dementia: A Spectral Power Ratio Approach
Jinwon Chang, Chul Hoon Chang · 2023 · Medicina
Cites dataset 13 citations
- Unlocking the potential of EEG in Alzheimer's disease research: Current status and pathways to precision detection
Frnaz Akbar, Imran Taj, Syed Muhammad Usman, Ali Shariq Imran, Shehzad Khalid, Imran Ihsan, Ammara Ali, Amanullah Yasin · 2025 · Brain Research Bulletin
Cites data paper 12 citations
- Electroencephalogram and Event-Related Potential in Mild Cognitive Impairment: Recent Developments in Signal Processing, Machine Learning, and Deep Learning
Hamed Azami, Mina Mirjalili, Tarek K. Rajji, Chien‐Te Wu, Anne Humeau‐Heurtier, Tzyy‐Ping Jung, Chun-Shu Wei, Thanh-Tung Trinh, Yi‐Hung Liu · 2025 · IEEE Journal of Selected Areas in Sensors
Cites data paper 11 citations
- A Review of Neuro-ML Breakthroughs in Addressing Neurological Disorders
Cosmina-Mihaela Roșca, Adrian Stancu · 2025 · Applied Sciences
Cites data paper 10 citations
- Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia From Electroencephalography Signals
Dong-Geun Lee, Seung-Bo Lee · 2025 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
Cites data paper 10 citations
- Advanced EEG-Based Classification of Alzheimer's Disease Using CNN-LSTM-Attention Architecture
Chayut Bunterngchit, Thanaphon Chearanai, Yuthachai Bunterngchit · 2024 · n/a
Cites data paper 10 citations
- A Complementary Dataset of Scalp EEG Recordings Featuring Participants with Alzheimer’s Disease, Frontotemporal Dementia, and Healthy Controls, Obtained from Photostimulation EEG
Aimilia Ntetska, Ανδρέας Μιλτιάδους, Markos G. Tsipouras, Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Dimitrios Tsalikakis, Konstantinos Sakkas, Emmanouil D. Oikonomou, Nikolaos Grigoriadis, Pantelis Angelidis, Νικόλαος Γιαννακέας, Alexandros T. Tzallas · 2025 · Data
Cites data paper 10 citations
- Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
Zhisheng Chen, Yingwei Zhang, Qizhen Lan, Tianyu Liu, Huacan Wang, Yi Ding, Ziyu Jia, Ronghao Chen, Kun Wang, Xin-qiu Zhou · 2025 · ArXiv
Cites data paper 10 citations
- Resting-state EEG microstate features for Alzheimer’s disease classification
Xiaoli Yang, Zhipeng Fan, Zhenwei Li, Jiayi Zhou · 2024 · PLoS ONE
Cites data paper 9 citations
- EEG Data Analysis Techniques for Precision Removal and Enhanced Alzheimer’s Diagnosis: Focusing on Fuzzy and Intuitionistic Fuzzy Logic Techniques
Mario Versaci, Fabio La Foresta · 2024 · Signals
Cites data paper 9 citations
- A Multimodal Multi-Stage Deep Learning Model for the Diagnosis of Alzheimer’s Disease Using EEG Measurements
Vo Minh Tuan, Ali K. Ibrahim, Hanqi Zhuang · 2025 · Neurology International
Cites data paper 9 citations
- Detecting Alzheimer Disease in EEG Data with Machine Learning and the Graph Discrete Fourier Transform
Xavier Mootoo, Alice Fours, Chinthaka Dinesh, Mohammad Ashkani, Adam Kiss, Mateusz Faltyn · 2023 · medRxiv
Cites dataset 9 citations
- Translational approach for dementia subtype classification using convolutional neural network based on EEG connectome dynamics
Thawirasm Jungrungrueang, Sawrawit Chairat, Kasidach Rasitanon, Praopim Limsakul, Krit Charupanit · 2025 · Scientific Reports
Cites dataset 8 citations
- EEG features associated with Alzheimer’s disease and Frontotemporal dementia are not reflected by processed indices used in anesthesia monitoring
Stefan Schwerin, Srdjan Dragovic, Julian Ostertag, Duy-Minh Nguyen, Gerhard Schneider, Matthias Kreuzer · 2025 · Journal of Clinical Monitoring and Computing
Cites dataset 8 citations
- Adaptive spatiotemporal encoding network for cognitive assessment using resting state EEG
Jingnan Sun, Anruo Shen, Yike Sun, Xiaogang Chen, Yunxia Li, Xiaorong Gao, Bai Lu · 2024 · npj Digital Medicine
Cites dataset 8 citations
- A dual path graph neural network framework for dementia diagnosis
Denghui Zhang, Chenxuan Zhu · 2025 · Scientific Reports
Cites data paper 7 citations
- Low Dimensional EEG Classification for Alzheimer’s Disease Recognition
Marko Nedeljković, Pavle Pađin, Strahinja Nikolić · 2023 · n/a
Cites data paper 7 citations
- Transparent EEG Analysis: Leveraging Autoencoders, Bi-LSTMs, and SHAP for Improved Neurodegenerative Diseases Detection
Badr Mouazen, Ahmed Bendaouia, Omaima Bellakhdar, Khaoula Laghdaf, Aya Ennair, El Hassan Abdelwahed, Giovanni de Marco · 2025 · Sensors
Cites dataset 7 citations
- Virtual Electroencephalogram Acquisition: A Review on Electroencephalogram Generative Methods
Zhishui You, Yuzhu Guo, Xiulei Zhang, Yifan Zhao · 2025 · Sensors
Cites data paper 7 citations
- DCNN-SBiL: EEG signal based mild cognitive impairment classification using compact convolutional network
Anshu Devi, M. Madhavi Latha · 2025 · Expert Systems with Applications
Cites data paper 7 citations
- Advancing Alzheimer’s disease detection: a novel convolutional neural network based framework leveraging EEG data and segment length analysis
Md. Nurul Ahad Tawhid, Siuly Siuly, Enamul Kabir, Yan Li · 2025 · Brain Informatics
Cites dataset 7 citations
- Analysis of the alpha activity envelope in electroencephalography in relation to the ratio of excitatory to inhibitory neural activity
Misako Sano, Yuko Nishiura, Izumi Morikawa, Aiko Hoshino, Junichi Uemura, Katsuyuki Iwatsuki, Hitoshi Hirata, Minoru Hoshiyama · 2024 · PLoS ONE
Cites data paper 6 citations
- Augmenting brain-computer interfaces with ART: An artifact removal transformer for reconstructing multichannel EEG signals
Chun‐Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, Anne-Mei Bessas · 2025 · NeuroImage
Cites data paper 6 citations
- Simplicial Homology Global Optimization of EEG Signal Extraction for Emotion Recognition
Ahmed Roshdy, Samer Al Kork, Taha Beyrouthy, Amine Naït‐Ali · 2023 · Robotics
Cites data paper 6 citations
- 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
- Leveraging SVD Entropy and Explainable Machine Learning for Alzheimer's and Frontotemporal Dementia Detection using EEG
Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo · 2023 · n/a
Cites dataset 6 citations
- N-BodyPat: Investigation on the dementia and Alzheimer's disorder detection using EEG signals
Prabal Datta Barua, Türker Tuncer, Mehmet Bayğın, Şengül Doğan, U. Rajendra Acharya · 2024 · Knowledge-Based Systems
Cites data paper 5 citations
- EEG foundation models: a critical review of current progress and future directions
Gayal Kuruppu, Neeraj Wagh, Václav Křemen, Yogatheesan Varatharajah · 2026 · Journal of Neural Engineering
Cites data paper 5 citations
- EEG biomarkers for Alzheimer's disease: A novel automated pipeline for detecting and monitoring disease progression
Leif Simmatis, Emma E. Russo, Tayo Steininger, Haleigh Riddell, Evelyn Chen, Queenny Chiu, Michelle Lin, Donghun Oh, Porsha Taheri, Irene E. Harmsen, Nardin Samuel · 2025 · Journal of Alzheimer s Disease
Cites data paper 5 citations
- Beyond Frequency Bands: Complementary-Ensemble-Empirical-Mode-Decomposition-Enhanced Microstate Sequence Non-Randomness Analysis for Aiding Diagnosis and Cognitive Prediction of Dementia
Wang Wan, Zhongze Gu, Chung‐Kang Peng, Xingran Cui · 2024 · Brain Sciences
Cites dataset 5 citations
- Multi-frequency EEG and multi-functional connectivity graph convolutional network based detection method of patients with Alzheimer’s disease
Yujian Liu, L. An, Haiqiang Yang, Shuzhi Sam Ge · 2025 · Complex & Intelligent Systems
Cites dataset 5 citations
- Harnessing Creative Methods for EEG Feature Extraction and Modeling in Neurological Disorder Diagnoses
Avish Jha, Nevin Kuruvilla, Pramika Garg, Akila Victor · 2023 · n/a
Cites data paper 5 citations
- Enhanced EEG decoding with weight freezing in parallel deep neuro-fuzzy networks (PDNFN) for multi-neurological disorder diagnosis
Shraddha Jain, Rajeev Srivastava · 2025 · Iran Journal of Computer Science
Cites data paper 5 citations
- Resting-State EEG Reveals Regional Brain Activity Correlates in Alzheimer’s and Frontotemporal Dementia
Ali Azargoonjahromi, Hamide Nasiri, Fatemeh Abutalebian · 2024 · medRxiv
Cites dataset 5 citations
- Olfactory EEG based Alzheimer disease classification through transformer based feature fusion with tunable Q-factor wavelet coefficient mapping
Berke Cansız, Hamza Osman İlhan, Nizamettin Aydın, Görkem Serbes · 2025 · Frontiers in Neuroscience
Cites data paper 5 citations
- Alzheimer’s diagnosis from EEG with reliable probabilities: subject-wise, leakage-free evaluation and isotonic calibration
Hamed Shamsi · 2025 · Journal of Engineering and Applied Science
Cites dataset 5 citations
- The effect of aperiodic components in distinguishing Alzheimer's disease from frontotemporal dementia
Zhuyong Wang, Anyang Liu, Jianshen Yu, Pengfei Wang, Yue-Wei Bi, Sha Xue, Jiajun Zhang, Hongbo Guo, Wangming Zhang · 2023 · Research Square
Cites dataset 5 citations
- Multi-Scale Adaptive Graph Learning Based on Multi-Wave EEG Data for Dementia Diagnosis
Jiaxin Wei, Bin Jiao, Hanhe Lin, Xu Tian, Lu Shen, Jin Liu · 2025 · Big Data Mining and Analytics
Cites dataset 5 citations
- Connectogram-COH: A Coherence-Based Time-Graph Representation for EEG-Based Alzheimer’s Disease Detection
Ehssan Aljanabi, İlker Türker · 2025 · Diagnostics
Cites dataset 4 citations
- Standardizing Number of EEG Sensors for AI-Driven Dementia Detection
Quoc-Toan Nguyen · 2025 · IEEE Sensors Letters
Cites data paper 4 citations
- 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 4 citations
- Privacy–preserving dementia classification from EEG via hybrid–fusion EEGNetv4 and federated learning
Muhammad Umair, Muhammad Shahbaz Khan, Muhammad Fainan Hanif, Wad Ghaban, Ibtehal Nafea, Sultan Noman Qasem, Faisal Saeed · 2025 · Frontiers in Computational Neuroscience
Cites data paper 4 citations
- An efficient ANN SoC for detecting Alzheimer's disease based on recurrent computing
Zhikang Chen, Yuejun Zhang, Ziyu Zhou, Lixun Wang, Huihong Zhang, Pengjun Wang, Jinyan Xu · 2024 · Computers in Biology and Medicine
Cites data paper 4 citations
- Characterizing resting-state EEG oscillatory and aperiodic activity in neurodegenerative diseases: A multicentric study
Alberto Jaramillo-Jiménez, Yorguin-José Mantilla-Ramos, Diego Tovar, Francisco Lopera, David Aguillón, John Fredy Ochoa-Gómez, Claire Paquet, Sinead Gaubert, Matteo Pardini, Dario Arnaldi, John‐Paul Taylor, Tormod Fladby, Kolbjørn Brønnick, Dag Aarsland, Laura Bonanni · 2025 · Computers in Biology and Medicine
Cites data paper 4 citations
- Distinct neurodynamics of functional brain networks in Alzheimer’s disease and frontotemporal dementia as revealed by EEG
Sungwoo Ahn, Evie Malaia, Leonid L. Rubchinsky · 2025 · Clinical Neurophysiology
Cites data paper 4 citations
- Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data
Siuly Siuly, Md. Nurul Ahad Tawhid, Yan Li, U. Rajendra Acharya, Muhammad Tariq Sadiq, Hua Wang · 2025 · Cognitive Computation
Cites dataset 4 citations
- Attention-augmented stockwell transform and convolutional neural network framework for electroencephalogram-based multi-class classification of Frontotemporal Dementia
Siwei Xie, Xiao Li, Haitao Huang, Dayang Chen, Haiman Guo, A. K. Jain · 2025 · Information Fusion
Cites dataset 4 citations
- WEFormer: Classification for physiological time series with small sample sizes based on wavelet decomposition and time series foundation models
Xiangdong He, Zhou Jiang, Xiaodong Wu, Hanmin Liu, Hua Luo · 2025 · Biomedical Signal Processing and Control
Cites data paper 4 citations
- NeuroXAI: Explainable Deep Learning for EEG-Based Detection of Alzheimer's and Parkinson's Diseases
Chayut Bunterngchit, Laith H. Baniata, Abdur Rasool · 2025 · 2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE)
Cites data paper 4 citations
- Integrating neuroscience and artificial intelligence: EEG analysis using ensemble learning for diagnosis Alzheimer’s disease and frontotemporal dementia
Amir Hossein Hachamnia, Ali Mehri, Maryam Jamaati · 2025 · Journal of Neuroscience Methods
Cites data paper 4 citations
- CONECT: Novel Weighted Networks Framework Leveraging Angle-Relation Connection (ARC) and Metaheuristic Algorithms for EEG-Based Dementia Classification
Akashdeep Singh, Supriya Supriya, Siuly Siuly, Hua Wang · 2025 · Sensors
Cites dataset 4 citations
- Brain functional connectivity analysis of fMRI-based Alzheimer's disease data
Maitha Alarjani, Badar Almarri · 2025 · Frontiers in Medicine
Cites dataset 4 citations
- Enhanced Alzheimer’s detection with EEG source imaging and multi-branch joint attention
Yuming Sun, Lufeng Feng, Baomin Xu, Shifan Jia, Duan Li, Wei Ni, Ziyu Jia · 2025 · Journal of Neural Engineering
Cites data paper 3 citations
- A novel contrastive Dual-Branch Network (CDB-Net) for robust EEG-Based Alzheimer’s disease diagnosis
Zakaria Alouani, Oussama El Gannour, Shawki Saleh, Abdeljalil El-Ibrahimi, Othmane Daanouni, Bouchaib Cherradi, Omar Bouattane · 2025 · Brain Research
Cites data paper 3 citations
- HAMD-Net: A biologically informed hybrid attention model for EEG classification of multiple neurological disorders
Saba Aslam, Musarat Hussain, Xiaoli Li, Huijun Li, Hongyan Wu · 2026 · Biomedical Signal Processing and Control
Cites data paper 3 citations
- Multi-Query Cross-Modal Attention Fusion for Cognitive Impairment Recognition
Minghui Zhao, Hongxiang Gao, Xinzhao Qi, Haiyan Yin, Yulei Song, Yamei Bai, Jianqing Li, Lulu Zhao, Chengyu Liu · 2025 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
Cites data paper 3 citations
- EEG-Based Brain–Computer Interface: Fundamentals, Methods, Applications, and Challenges
Weitao Luo, Mohammed A. A. Al‐qaness, Yangfan Li, Jianguo Shen, Keqin Li · 2025 · IEEE Internet of Things Journal
Cites data paper 3 citations
- EEG-based classification of alzheimer’s disease and frontotemporal dementia using functional connectivity
Tjaša Mlinarič, Arne Van Den Kerchove, Zoe I. Barinaga, Marc M. Van Hulle · 2026 · Scientific Reports
Cites dataset 3 citations
- Electroencephalographic biomarker-guided early detection of Alzheimer’s disease via cortically subdivided neurodynamic PINN
Zhengliang Zhang, Yachen Wei, Xin Rao, Liyang Yu, Wen Sun, Ruixue Li, Xiaoshuai Zhang, Xiaodong Chen, Xingru Huang, Xingru Huang · 2025 · Expert Systems with Applications
Cites data paper 3 citations
- NeuroFusionNet: a hybrid EEG feature fusion framework for accurate and explainable Alzheimer’s Disease detection
Frnaz Akbar, Yazeed Alkhrijah, Syed Muhammad Usman, Shehzad Khalid, Imran Ihsan, Mohamad A. Alawad · 2025 · Scientific Reports
Cites dataset 3 citations
- A Separable Bi-Pyramidal Feature Attention Network to Detect Alzheimer’s Using Electroencephalographic Signals
Sandesh Kalambe, Mohan Karnati, Ayan Seal, Marek Penhaker, Ondřej Krejcar · 2025 · IEEE Transactions on Instrumentation and Measurement
Cites data paper 3 citations
- Classifying Alzheimer’s Disease and Dementia Patients Using Non-invasive EEG Biomarkers
Wali Hassan, Sheraz Khan, Abbas Sohrabpour · 2024 · medRxiv
Cites dataset 3 citations
- A Unified Framework for Alzheimer’s Disease Knowledge Graphs: Architectures, Principles, and Clinical Translation
Jovana Dobreva, Monika Simjanoska, Kostadin Mishev, Dimitar Trajanov, Igor Mishkovski · 2025 · Brain Sciences
Cites data paper 3 citations
- MGFormer: A lightweight multi-granular transformer for subject-independent Alzheimer’s classification
Raiyan Rahman, Abul Kalam Al Azad, Sifat Momen · 2025 · Biomedical Signal Processing and Control
Cites data paper 3 citations
- Alzheimer's disease classification from EEG using a multiscale temporal deep network
Simone Zini, Thomas Barbera, Simone Bianco, Paolo Napoletano · 2026 · Biomed. Signal Process. Control.
Cites data paper 3 citations
- Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series
Guo Yu, Juncheng Wang, Chen Yang, Jing Qin, Angelica I. Avilés-Rivero, Shujun Wang · 2026 · ArXiv
Cites data paper 3 citations
- CNN-based framework for Alzheimer's disease detection from EEG via dynamic mode decomposition
Jacob Kang, Hunseok Kang, Jonghyun Seo · 2025 · Frontiers in Neuroinformatics
Cites data paper 3 citations
- EEG Microstate Differences Between Alzheimer’s Disease, Frontotemporal Dementia, and Healthy Controls Using 4 and 7 Clustering Classes with a Ratio Approach
Jinwon Chang · 2025 · Medicina
Cites data paper 3 citations
- Electroencephalography microstates as biomarkers for screening Alzheimer's disease: Feasibility analysis and a machine learning classification scheme
Huiqing Hou, Jiang Yu, Shencai Hao, Xirui Zhang, Dawei Zang · 2025 · Journal of Alzheimer's Disease
Cites data paper 3 citations
- AI-driven framework for accurate detection of Alzheimer’s disease in EEG
B. Hemalatha, K. Venkatachalam, Siuly Siuly, Jaehyuk Cho · 2026 · Scientific Reports
Cites dataset 3 citations
- Quantitative Electroencephalography Markers for Accurate Diagnosis of Frontotemporal Dementia: A Spectral Power Ratio Approach
Jinwon Chang, Chul Hoon Chang · 2023 · Preprints.org
Cites dataset 3 citations
- A multi-graph convolutional network method for Alzheimer’s disease diagnosis based on multi-frequency EEG data with dual-mode connectivity
Qingjie Xu, L. An, Haiqiang Yang, Keum‐Shik Hong · 2025 · Frontiers in Neuroscience
Cites dataset 3 citations
- Enhancing Alzheimer’s Diagnosis with Machine Learning on EEG: A Spectral Feature-Based Comparative Analysis
Yeliz ŞENKAYA, Çetin Kurnaz, Ferdi Özbilgin · 2025 · Diagnostics
Cites dataset 3 citations
- EEG signal analysis for the classification of Alzheimer’s and frontotemporal dementia: a novel approach using artificial neural networks and cross-entropy techniques
Fatma Lati̇foğlu, Fırat Orhanbulucu, M. Murugappan, Sümeyye Nur Gürbüz, Burçin Çayır, Fatma Avcı · 2025 · International Journal of Neuroscience
Cites data paper 2 citations
- A microservices architecture for processing large electroencephalogram studies
Bathsheba Farrow, Soo-Yeon Ji, Sampath Jayarathna · 2025 · International Journal of Computers and Applications
Cites data paper 2 citations
- EEG classification for neurological disorders using frequency band deciles
Jonah Fernandez, Bianca Innocenti, Beatriz López · 2025 · Scientific Reports
Cites dataset 2 citations
- Integrating attractor dynamics and connectivity features for EEG-based dementia classification
Sepideh Zolfaghari, Elnaz Gholizadeh, Farnaz Garehdaghi · 2026 · Scientific Reports
Cites dataset 2 citations
- Sink-index: a network-based EEG marker for frontotemporal dementia and Alzheimer’s disease
Luis A. Sánchez, Surya Pandiaraju, Autumn O Williams, Amir Hossein Daraie, Chiadi U. Onyike, Sridevi V. Sarma · 2025 · Brain Communications
Cites dataset 2 citations
- Electroencephalogram features support the retrogenesis hypothesis of Alzheimer's disease: Exploratory comparison of brain changes in aging and childhood
João Areias Saraiva, Martin Becker, Martin Dyrba, Burcu Bölükbaş, Enrico Michele Salamone, Claudio Babiloni, Michael Kölch, Harald Hampel, Stefan Teipel, Thomas Kirste, Christoph Berger · 2025 · Journal of Alzheimer s Disease
Cites dataset 2 citations
- Transforming Brainwaves into Language: EEG Microstates Meet Text Embedding Models for Dementia Detection
Quoc-Toan Nguyen, Linh Le, Xuan-The Tran, Dorothy Bai, Nghia Duong‐Trung, Thomas Do, Chin‐Teng Lin · 2025 · n/a
Cites dataset 2 citations
- Leveraging SVD Entropy and Explainable Machine Learning for Alzheimer's and Frontotemporal Dementia Detection using EEG
Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo · 2023 · n/a
Cites dataset 2 citations
- EEG Feature Extraction for Neurodegenerative Disease Diagnosis: A Review
Dong-Geun Lee, Seung-Bo Lee · 2025 · Digital Health Research
Cites dataset 2 citations
- RETRACTED ARTICLE: A novel approach integrating topological deep learning from EEG Data in Alzheimer’s disease
Miriam Esteve, Alejandro Martinez-Gracia, J. J. Rodríguez-Sala, Jorge R. Brotons‐Mas, Antonio Falcó · 2025 · Scientific Reports
Cites dataset 1 citations
- A deep-SVM hybrid framework with enhanced EEG feature engineering and SHAP-based explainability for Alzheimer’s classification
Frnaz Akbar, Yazeed Alkhrijah, Syed Muhammad Usman, Shehzad Khalid, Imran Ihsan, Mohamad A. Alawad · 2026 · Scientific Reports
Cites dataset 1 citations
- Stochastic Graph Heat Modelling for Diffusion-based Connectivity Retrieval
Stephan Goerttler, Fei He, Min Wu · 2024 · n/a
Cites dataset 1 citations
- Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer’s Disease Classification
Stephan Goerttler, Fei He, Min Wu · 2024 · n/a
Cites dataset 1 citations
- The Vibrational Signature of Alzheimer’s Disease: A Computational Approach Based on Sonification, Laser Projection, and Computer Vision Analysis
Rubén Pérez-Elvira, Javier Oltra‐Cucarella, Mo Juan, Luis Polo-Ferrero, Raúl Juárez‐Vela, Jorge Bosch‐Bayard, Manuel Quintana‐Díaz, Jorge De La Cruz, Alfonso Salgado Ruíz · 2025 · Biomimetics
Cites dataset 1 citations
- Auditory Discrimination of Parametrically Sonified EEG Signals in Alzheimer’s Disease
Rubén Pérez-Elvira, Javier Oltra-Cucarella, Mo Juan, Luis Polo-Ferrero, Raúl Juárez-Vela, Jorge Bosch‐Bayard, Manuel Quintana Díaz, Bogdan Neamţu, Alfonso Salgado Ruíz · 2025 · Journal of Clinical Medicine
Cites dataset 1 citations
- Multiclass Differentiation of Dementia Subtypes Based on Low-Density EEG Biomarkers: Towards Wearable Brain Health Monitoring
Anneliese Walsh, Shanker Shreejith, Alejandro López Valdés · 2025 · Journal of dementia and Alzheimer's disease
Cites dataset 1 citations
- Leveraging SVD Entropy and Explainable Machine Learning for Alzheimer’s and Frontotemporal Dementia Detection using EEG
Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo · 2023 · n/a
Cites dataset 1 citations
- What Causes Performance Degradation in Cross-Subject EEG Classification?
Yihe Wang, Taida Li, Yujun Yan, Wen‐Zhan Song, X. D. Zhang · 2024 · arXiv (Cornell University)
Cites dataset 1 citations
- 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
- ADNET: A 1D-CNN Feature Fusion-based Method for Alzheimer’s Disease Detection Using EEG Signals
Yazeed Alkhrijah, Muhammad Arif, Syed Muhammad Usman, Shehzad Khalid, Amina Jameel, Faridoon Khan · 2025 · Journal of Disability Research
Cites dataset 1 citations
- A Quantitative Comparison of Two Methods for Higher-Order EEG Microstate Syntax Analysis
Frederic von Wegner, Gesine Hermann, Inken Toedt, Inga Karin Todtenhaupt, Helmut Laufs · 2026 · Brain Topography
Cites dataset
- Automated detection of Alzheimer’s disease and mild cognitive impairment from EEG signals using astrophysics-inspired features and hybrid feature selection
Sibghatullah I. Khan, A. Bala Raju, Komala Gondi, Poorna Chandra Reddy Alla, Supriya Gupta Bani, S Sridevi · 2026 · Biomedical Signal Processing and Control
Cites dataset
- Metric-T: A permutation-based diagnostic for directional fragility in EEG functional connectivity analysis
Akira Kimura · 2026 · Neuroscience Informatics
Cites dataset
- Quantitative EEG signatures of power and functional connectivity alterations in Alzheimer’s disease and frontotemporal dementia
Shahid Iqbal, H. Nisar, Kim Ho Yeap · 2026 · Scientific Reports
Cites dataset
- Explainable EEG-based machine learning for early diagnosis of Alzheimer’s disease and frontotemporal dementia
Fahman Saeed, Sultan Aldera · 2026 · Scientific Reports
Cites dataset
- Entangled criticality and irreversibility in random Markov dynamics
Anonymous, Eric De Giuli · 2026 · Physical review. E
Cites dataset
- EEG-based Machine and Deep Learning Approaches for Alzheimer’s and Frontotemporal Dementia: A Systematic Review of the OpenNeuro ds004504 Dataset
Mahdoubi Youness, Zrira Nabila, Aaibid Hind, Elafi Issam, Ngote Nabil, Benmiloud Ibtissam · 2026 · n/a
Cites dataset
- SpectroXAI: Quantitative Explainability Consistency for EEG-Based Spectrogram Imaging in Alzheimer's Disease Classification
Sukhpal Singh, Husanbir Singh Pannu, Poonam Saini · 2026 · n/a
Cites dataset
- Hybrid Neural Network and Neuro-Fuzzy Model for Early Detection of Alzheimer’s and Parkinson’s Diseases Using EEG
S. H. Kasthuriarchchi, H.U.W. Rathnayake, A. K. A. B. Baminiwatta · 2025 · n/a
Cites dataset
- Aperiodic Correction of Posterior Theta/Alpha Ratio Reduces Arousal-State Dependency in Routine EEG-Based Dementia Screening
Dokyung Lee · 2026 · Clinical EEG and Neuroscience
Cites dataset
- Evaluating brain electroencephalogram signal dynamics across cognitive disorders using information geometry
Heng Jie Choong, Eun‐jin Kim, Fei He · 2025 · PLOS complex systems.
Cites dataset
- Adaptive Neuro-Digital Twin with Cross-Domain Multimodal Representation Learning for Early Alzheimer's Disease Prognosis
V S Krushnasamy, Annapurna Mishra, Pratik Gite, Ganesh Kumar Anbazhagan, Adapa Gopi, M Misba, A. Arul Anitha, Osama R.Shahin · 2026 · International Journal of Advanced Computer Science and Applications
Cites dataset
- Multi-Dimensional Fractal Vulnerability Study Of Alzheimer's Brain Networks
Ting Tin Tin, Neha Hema Raj, Geetha N. K, Thangaraj C, Olusegun D. Samuel · 2026 · International Journal of Advanced Computer Science and Applications
Cites dataset
- EEG-FM Shortcut Audit: CHB-MIT bipolar-montage handling (addendum to osf.io/epwnh)
Kartic · 2026 · Open MIND
Cites dataset
- EEG-FM Shortcut Audit: fully-open non-TUH external replication (Siena, CHB-MIT, ds004504)
Kartic · 2026 · Open MIND
Cites dataset
- EEG Microstate Aggregate Conditional Entropy Derived from Markov Modelling as a AD-Specific Biomarker: Differentiating Alzheimer’s Disease from Frontotemporal Dementia and Healthy Controls
Hassan Farooq · 2026 · Research Square
Cites dataset
- Covariance Matrices and Case-Based Reasoning Synergy for Interpretable EEG Classification in Neurological Disorders
Jonah Fernandez, Bianca Innocenti, Beatriz López · 2024 · Research Square
Cites dataset
- EEG-Based Alzheimer's Detection Using Power Spectral Density, Tsallis Entropy, Amplitude Features, and SVM Classification
Ayat Cisse, Zineb Farahat, Nabila Zrira, Ibtissam Benmiloud, Bahia El Abdi, Nabil Ngote · 2024 · Research Square
Cites dataset
- EEG Classification for Neurological Disorders Using Frequency Band Deciles
Jonah Fernandez, Bianca Innocenti, Beatriz López · 2025 · Research Square
Cites dataset
- A Multi-Scale View of Alzheimer’s Disease: Linking Cellular Dysfunction to Brain Activity
Sahaana Vasudevan · 2026 · Research Square
Cites dataset
- MontageFL: Privacy-Preserving Federated Learning across Heterogeneous EEG Montages A Leakage-Free Benchmark on Alzheimer’s Disease Classification
Bahaa Masry, Anas Shahin, George Karraz · 2026 · Research Square
Cites dataset
- "ds004504"
Andreas Miltiadous · 2026 · IEEE DataPort
Cites dataset
- A Multi-Frequency Self-Supervised Fusion Model for EEG-Based Dementia Classification
Jinhua Sheng, Jiaqi Lin, Qiao Zhang, Zhaozhe Gong, Rong Zhang, Ming Wu, Yuhan Cheng, Xinrui Zhu, Zhongyuan Sun · 2026 · Journal of Integrative Neuroscience
Cites dataset
- Clustered pattern projection for EEG dementia classification: evaluating the reliability of disorder patterns
Hunseok Kang, Jacob Kang, Mustafa Zeki, Jong-Hyeon Seo · 2026 · Frontiers in Neuroscience
Cites dataset
- Cross-Modal Alignment and Rectified Flow-Based Latent Representation Synthesis for Enhanced Speech-Driven Alzheimer’s Disease Detection
Shu Xiang, Haobo Ling, Meihong WU · 2026 · Bioengineering
Cites dataset
- EEG-Based Classification of Alzheimer’s Disease and Frontotemporal Dementia via a Dynamic Threshold Graph Convolutional Network
Ying Liu, Ming Meng · 2026 · Information
Cites dataset
- Alzheimer’s Disease Detection Based on Machine Learning and Deep Learning Frameworks: A Cross-Dataset Comparative Performance Analysis and Assessment of Clinical Readiness
Keenan Ramnarain, Rito Clifford Maswanganyi, Philani Khumalo · 2026 · Machine Learning and Knowledge Extraction
Cites dataset
- Interactive Brain Interface for Multimodal EEG Visualization and Disease-Specific Neural Dynamics
Souhaila Khalfallah, Alaeddine Hmidi, Kaïs Bouallegue · 2026 · n/a
Cites dataset
- Symmetry in Genetic Distance Metrics: Quantifying Variability in Neurological Disorders for Personalized Treatment of Alzheimer’s and Dementia
Jorge A. Ruíz-Vanoye, Ocotlán Díaz-Parra, Marco Antonio Márquez-Vera, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Eric Simancas-Acevedo, Miguel Á. Ruiz-Jaimes, Juan M. Xicoténcatl-Pérez, Julio C. Ramos-Fernández · 2025 · Symmetry
Cites dataset
- Classification of Neurodegenerative Diseases Using Machine Learning: An Approach Focused on Alzheimer's and Frontotemporal Dementia
Mert Basancelebi, Ali Narin, İrem Şenyer Yapıcı · 2026 · GAZI UNIVERSITY JOURNAL OF SCIENCE
Cites dataset
- Stochastic Graph Heat Modelling for Diffusion-based Connectivity Retrieval
Stephan Goerttler, Fei He, Min Wu · 2024 · arXiv (Cornell University)
Cites dataset
- Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification
Stephan Goerttler, Fei He, Min Wu · 2024 · arXiv (Cornell University)
Cites dataset
- 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
- Motif Discovery Framework for Psychiatric EEG Data Classification
Melanija Kraljevska, Kateřina Hlaváčková‐Schindler, Lukas Miklautz, Claudia Plant · 2025 · arXiv (Cornell University)
Cites dataset
- Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction
Xiaoyu Zheng, Xu Tian, Bin Jiao, Kunbo Cui, Hanhe Lin, Lu Shen, Jin Liu · 2026 · arXiv (Cornell University)
Cites dataset
- EEG Δ4s Biomarker Dataset: Early Detection Alzheimer's & Dementia (129 Subjects)
Sergio Pérez Muñoz · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- EEG Δ4s Biomarker Dataset: Early Detection Alzheimer's & Dementia (129 Subjects)
Sergio Pérez Muñoz · 2026 · Open MIND
Cites dataset
- Analysis code and data for: The Directional Fragility of Brain Connectivity
Akira Kimura · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and data for: The Directional Fragility of Brain Connectivity
Akira Kimura · 2026 · Open MIND
Cites dataset
- Final-Stop-Consulting/caueeg-entropy: Revision - analysis code for "Not All Entropy Is Equal
edmondsvic, victoredmonds · 2026 · Open MIND
Cites dataset
- Not All Entropy Is Equal: Parameter Sensitivity and Cross-Dataset Fragility of Band-Filtered Entropy in Dementia EEG
Victor Edmonds · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Flaws in EEG Alzheimer's ML: Memorization, Lucky Folds, and Metric Misalignment
Adel Sahuc · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Flaws in EEG Alzheimer's ML: Memorization, Lucky Folds, and Metric Misalignment
Adel Sahuc · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and results for: Empirical validation of the Consciousness Potential framework
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and results for: Empirical validation of the Consciousness Potential framework
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Empirical Validation of the Consciousness Potential Framework: Developmental Trajectories in Cultured Cortical Networks and Clinical Group Differences in Dementia
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Empirical Validation of the Consciousness Potential Framework: Developmental Trajectories in Cultured Cortical Networks and Clinical Group Differences in Dementia
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and results for: Empirical validation of the Consciousness Potential framework
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Empirical Validation of the Consciousness Potential Framework: Developmental Trajectories in Cultured Cortical Networks and Clinical Group Differences in Dementia
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Alzheimer's/FTD EEG Classifier Test Suite (code v5)
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and results for: Dynamic Signatures of Dementia: A Task-Evoked Five-Dimensional EEG Classifier for Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Dynamic Signatures of Dementia: Task-Augmented EEG Classification of Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Dynamic Signatures of Dementia: A Task-Evoked Five-Dimensional EEG Classifier for Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Code and trained models for: HC-Anchored Rank Normalization for Cross-Cohort EEG Classification of Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and results for: Empirical validation of the Consciousness Potential framework
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and results for: Dynamic Signatures of Dementia: A Task-Evoked Five-Dimensional EEG Classifier for Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Empirical Validation of the Consciousness Potential Framework: Developmental Trajectories in Cultured Cortical Networks and Clinical Group Differences in Dementia
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Dynamic Signatures of Dementia: A Task-Evoked Five-Dimensional EEG Classifier for Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- GCC simulation and analysis code
Mehmet Oktay Tugan · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- GCC simulation and analysis code
Mehmet Oktay Tugan · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- GCC simulation and analysis code
Mehmet Oktay Tugan · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Spatial Lo-Shu Projection of Resting-State EEG Reveals Geometric Biomarkers for Alzheimer Disease and Frontotemporal Dementia
Yao-Kai Kao · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Spatial Lo-Shu Projection of Resting-State EEG Reveals Geometric Biomarkers for Alzheimer Disease and Frontotemporal Dementia
Yao-Kai Kao · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- EEG Spectro-Temporal Variability Analysis in Normal Aging and Neurodegenerative Disorders
Yunier Prieur Coloma, Pavel Prado, Wael El-Deredy, Alejandro Weinstein · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- EEG Spectro-Temporal Variability Analysis in Normal Aging and Neurodegenerative Disorders
Yunier Prieur Coloma, Pavel Prado, Wael El-Deredy, Alejandro Weinstein · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Final-Stop-Consulting/caueeg-entropy: Revision - analysis code for "Not All Entropy Is Equal
edmondsvic, victoredmonds · 2026 · Open MIND
Cites dataset
- MontageFL: code for "Montage-agnostic federated learning for privacy-preserving Alzheimer's disease classification from heterogeneous multi-site EEG"
Bahaa Masry, Anas Shahin, George Karraz · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- MontageFL: code for "Montage-agnostic federated learning for privacy-preserving Alzheimer's disease classification from heterogeneous multi-site EEG"
Bahaa Masry, Anas Shahin, George Karraz · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Not All Entropy Is Equal: Parameter Sensitivity and Cross-Dataset Fragility of Band-Filtered Entropy in Dementia EEG
Victor Edmonds · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and results for: Empirical validation of the Consciousness Potential framework
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Alzheimer's/FTD EEG Classifier Test Suite (code v5)
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Dynamic Signatures of Dementia: Task-Augmented EEG Classification of Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Neural Information Systems Theory: First-Order Thalamic Downsampling Instability and Second-Order Default Mode Network Integration Cascading Failure Hypothesis
Yue Lu · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Neural Information Systems Theory: First-Order Thalamic Downsampling Instability and Second-Order Default Mode Network Integration Cascading Failure Hypothesis
Yue Lu · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Neural Information Systems Theory: First-Order Thalamic Downsampling Instability and Second-Order Default Mode Network Integration Cascading Failure Hypothesis
Yue Lu · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Multimodal data for Alzheimer's model
TAO Digital · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Multimodal data for Alzheimer's model
TAO Digital · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- A Scalar-Orthogonal Structural Gradient in Sleep EEG: Pre-Specified Tests Across Montages
Nathan M. Thornhill · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- A Scalar-Orthogonal Structural Gradient in Sleep EEG: Pre-Specified Tests Across Montages
Nathan M. Thornhill · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- A Scalar-Orthogonal Structural Gradient in Sleep EEG: Pre-Specified Tests Across Montages
Nathan M. Thornhill · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Eigenvalue Structure of Resting-State EEG Functional Connectivity in Alzheimer's Disease and Frontotemporal Dementia: An Extension of Iqbal et al. (2026)
White · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Eigenvalue Structure of Resting-State EEG Functional Connectivity in Alzheimer's Disease and Frontotemporal Dementia: An Extension of Iqbal et al. (2026)
White · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Eigenvalue Structure of Resting-State EEG Functional Connectivity in Alzheimer's Disease and Frontotemporal Dementia: An Extension of Iqbal et al. (2026)
White · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Neural Information Systems Theory: First-Order Thalamic Downsampling Instability and Second-Order Default Mode Network Integration Cascading Failure Hypothesis
Yue Lu · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Deep Neural EEG Based Alzeihmers Detection
Rashmi Rashmi, Inakshi Garg · 2025 · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Cites dataset
- Not All Entropy Is Equal: Parameter Sensitivity and Cross-Dataset Fragility of Band-Filtered Entropy in Dementia EEG
Victor Edmonds · 2026 · medRxiv
Cites dataset
- Computational Decomposition of New Memory Failure in Alzheimers Disease Through a Hippocampal Cortical Consolidation Bottleneck Model
Meiwei Zhang, Yuwei Pan, Le Chen · 2026 · medRxiv
Cites dataset
- Scalp EEG reveals functional dissociable aperiodic timescales in divergence of mental health
Yuhan Lu, Hangze Mao, Xing Tian · 2026 · medRxiv
Cites dataset
- Selective 10-Hz photic driving deficit shared between Alzheimer’s and frontotemporal dementia
Pedro Velez-Pardo, Ricardo Montoya Monsalve, Daniel Vasquez-Botero, Sofía Campuzano Cortina, Eduardo Montoya Guevara · 2026 · medRxiv
Cites dataset
- Vector Kuramoto Diffusion on Hyperspheres for Phase-Based EEG Synchronization Modeling
Vivaan Daxini · 2026 · American Journal for Young Scientists
Cites dataset
- Synchronization Dynamics in Dementia: A Kuramoto Model Analysis of EEG Activity in Alzheimer’s Disease and Frontotemporal Dementia
Ryan George · 2026 · American Journal for Young Scientists
Cites dataset
- Nonlinear Coherence for Vector Time Series: Defining Region-to-Region Functional Brain Connectivity
Redondo, Paolo Victor, Huser, Raphaël, Ombao, Hernando · 2025 · arXiv (Cornell University)
Cites dataset
- Entangled criticality and irreversibility in random Markov dynamics
Faheem Mosam, Eric DeGiuli · 2026 · arXiv (Cornell University)
Cites dataset
- Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series
Guoqi Yu, Juncheng Wang, Chen Yang, Jing Qin, Angelica I. Aviles-Rivero, Shujun Wang · 2026 · arXiv (Cornell University)
Cites dataset
- Resting-State EEG Reveals Shared Spectral Slowing but Divergent Connectivity in Alzheimer’s Disease and Frontotemporal Dementia
Vermut B. Gao · 2026 · OSF Preprints (OSF Preprints)
Cites dataset
- Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction
Xiaoyu Zheng, Xu Tian, Bin Jiao, Kunbo Cui, Hanhe Lin, Lu Shen, Jin Liu · 2026 · arXiv (Cornell University)
Cites dataset
- Connectivity Estimation using Stochastic Graph Heat Modelling
Stephan Goerttler, M T Wu, Fei He · 2026 · arXiv (Cornell University)
Cites dataset
- Detection of Alzheimer’s disease in EEG signals using deep learning
Guilherme Duarte Pedron · 2026 · Institutional Repository of the Federal Technological University of Paraná (RIUT) (Federal University of Technology – Paraná)
Cites dataset
- Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes
Athanasios Papastathopoulos-Katsaros, Steven T. Lee, Lin Yao, Ajay Thomas, Junseok Park, Matthew J. McGinley, Zhandong Liu · 2026 · arXiv (Cornell University)
Cites dataset
- Stress-Testing EEG Foundation Models for Clinical Decoding: Dataset Identity and Targeted Negative Controls
Marzieh Zare · 2026 · arXiv (Cornell University)
Cites dataset
- Foundation Models for EEG Are Blind to Long-Range Temporal Correlations: A Spectral-Temporal Dissociation Behind Their Cross-Population Fragility
Marzieh Zare · 2026 · arXiv (Cornell University)
Cites dataset