Early Diagnosis of Alzheimer’s Disease in Human Participants Using EEGConformer and Attention-Based LSTM During the Short Question Task

Keyphrases

• Electroencephalography 100%
• Human Participants 100%
• Attention-LSTM 100%
• Early Diagnosis of Alzheimer's Disease 100%
• Subjective Cognitive Decline 71%
• Task-oriented 57%
• Resting-state Electroencephalography 57%
• Alzheimer's Disease Classification 42%
• Mild Cognitive Impairment 42%
• Deep Learning Model 42%
• Alzheimer's Disease 28%
• Alzheime's Disease 28%
• Mild Cognitive impairment/Alzheimer's Disease 28%
• Three-class 14%
• Brain Activity 14%
• Classification Performance 14%
• Cognitive Activity 14%
• Performance Difference 14%
• Early Diagnosis 14%
• Area under the Curve 14%
• Reaction Time 14%
• Resting State 14%
• Early Alzheimer's Disease 14%
• Task-involving 14%
• State-based 14%
• Electroencephalography Analysis 14%
• Traditional Machine Learning 14%
• Progressive Neurodegeneration 14%
• Handcrafted Features 14%
• Cognitive Task 14%
• Cognitive Dementia 14%
• Response Accuracy 14%
• Deep Machine Learning 14%
• Neural Changes 14%
• Task-based Approach 14%
• Spectrum Diagnosis 14%
• Response Execution 14%
• Listening Comprehension 14%
• Listening Response 14%
• Question Answering Task 14%
• Cost-effective Alternatives 14%
• Attention-based Long Short-term Memory 14%
• Cognitive Impairment Diseases 14%
• Yes-No 14%
• Advanced Deep Learning 14%
• Response Reactions 14%
• Advanced Neuroimaging 14%

Psychology

• Electroencephalography 100%
• Alzheimer's Disease 100%
• Mild Cognitive Impairment 41%
• Resting-State 41%
• Cognitive Decline 41%
• Learning Model 25%
• Neuroimaging 8%
• Short-Term Memory 8%
• Electroencephalogram 8%
• Cognitive Activity 8%

Neuroscience

• Alzheimer's Disease 100%
• Electroencephalography 100%
• Mild Cognitive Impairment 41%
• Subjective Cognitive Decline 41%
• Neurodegenerative Disorder 8%
• Short-Term Memory 8%
• Electroencephalogram 8%