AIMC Topic: Electroencephalography
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Preconceived beliefs, different reactions: alleviating user switching intentions in service failures through priming GenAI beliefs.
BMC psychology
May 23, 2025
Generative artificial intelligence's (GenAI) fast progress has opened up new possibilities, but it has also increased the likelihood of service failure. This study investigates how belief priming affects users' intention to switch following a failure...
Predicting seizure onset zones from interictal intracranial EEG using functional connectivity and machine learning.
Scientific reports
May 22, 2025
Functional connectivity (FC) analyses of intracranial EEG (iEEG) signals can potentially improve the mapping of epileptic networks in drug-resistant focal epilepsy. However, it remains unclear whether FC-based metrics provide additional value beyond ...
Evaluating machine- and deep learning approaches for artifact detection in infant EEG: classifier performance, certainty, and training size effects.
Biomedical physics & engineering express
May 22, 2025
Electroencephalography (EEG) is essential for studying infant brain activity but is highly susceptible to artifacts due to infants' movements and physiological variability. Manual artifact detection is labor-intensive and subjective, underscoring the...
Predicting Placebo Responses Using EEG and Deep Convolutional Neural Networks: Correlations with Clinical Data Across Three Independent Datasets.
Neuroinformatics
May 19, 2025
Identifying likely placebo responders can help design more efficient clinical trials by stratifying participants, reducing sample size requirements, and enhancing the detection of true drug effects. In response to this need, we developed a deep convo...
Translational approach for dementia subtype classification using convolutional neural network based on EEG connectome dynamics.
Scientific reports
May 19, 2025
Dementia spectrum disorders, characterized by progressive cognitive decline, pose a significant global health burden. Early screening and diagnosis are essential for timely and accurate treatment, improving patient outcomes and quality of life. This ...
A CNN-based approach for detecting eye blink episodes in EEG signals.
Journal of neural engineering
May 19, 2025
This study aims to develop and evaluate a convolutional neural network (CNN)-based architecture for detecting eye blink episodes in electroencephalographic (EEG) signals, with a focus on the precise detection of individual events rather than their cl...
An ensemble deep learning framework for emotion recognition through wearable devices multi-modal physiological signals.
Scientific reports
May 18, 2025
The widespread availability of miniaturized wearable fitness trackers has enabled the monitoring of various essential health parameters. Utilizing wearable technology for precise emotion recognition during human and computer interactions can facilita...
Classification of internet addiction using machine learning on electroencephalography synchronization and functional connectivity.
Psychological medicine
May 16, 2025
BACKGROUND: Internet addiction (IA) refers to excessive internet use that causes cognitive impairment or distress. Understanding the neurophysiological mechanisms underpinning IA is crucial for enabling an accurate diagnosis and informing treatment a...
Commonality and individuality based graph learning network for EEG emotion recognition.
Journal of neural engineering
May 15, 2025
The interplay between individual differences and shared human characteristics significantly impacts electroencephalogram (EEG) emotion recognition models, yet remains underexplored. To address this, we propose a commonality and individuality-based EE...
Electroencephalography estimates brain age in infants with high precision: Leveraging advanced machine learning in healthcare.
NeuroImage
May 15, 2025
Changes in the pace of neurodevelopment are key indicators of atypical maturation during early life. Unfortunately, reliable prognostic tools rely on assessments of cognitive and behavioral skills that develop towards the second year of life and afte...
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