AIMC Topic: Electroencephalography

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Advancing BCI with a transformer-based model for motor imagery classification.

Scientific reports Jul 2, 2025
Brain-computer interfaces (BCIs) harness electroencephalographic signals for direct neural control of devices, offering significant benefits for individuals with motor impairments. Traditional machine learning methods for EEG-based motor imagery (MI)...
Humans Deep Learning Electroencephalography Brain-Computer Interfaces Imagination Neural Networks, Computer Machine Learning Algorithms
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A novel ST-GCN model based on homologous microstate for subject-independent seizure prediction.

Scientific reports Jul 2, 2025
Due to the lack of validated universal seizure markers, population-level prediction methods often exhibit limited performance. This study proposes homologous microstate dynamic attributes as a generalized, subject-independent seizure marker. Homologo...
Seizures Humans Neural Networks, Computer Electroencephalography
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EEG based real time classification of consecutive two eye blinks for brain computer interface applications.

Scientific reports Jul 1, 2025
Human eye blinks are considered a significant contaminant or artifact in electroencephalogram (EEG), which impacts EEG-based medical or scientific applications. However, eye blink detection can instead be transformed into a potential application of b...
Brain-Computer Interfaces Blinking Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted Machine Learning Brain Female Young Adult Adult Male Humans Neural Networks, Computer
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Single pulse electrical stimulation of the medial thalamic surface induces narrower high gamma band activities in the sensorimotor cortex.

Scientific reports Jul 1, 2025
The human thalamus projects nerve fibers to all cortical regions and propagates epileptic activity. However, opportunities to directly record thalamic and cortical neural activities simultaneously are extremely limited and their electrophysiological ...
Thalamus Gamma Rhythm Sensorimotor Cortex Epilepsy Deep Brain Stimulation Electric Stimulation Humans Male Middle Aged Electroencephalography Female Young Adult Adult
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EmoTrans attention based emotion recognition using EEG signals and facial analysis with expert validation.

Scientific reports Jul 1, 2025
Emotion recognition via EEG signals and facial analysis becomes one of the key aspects of human-computer interaction and affective computing, enabling scientists to gain insight into the behavior of humans. Classic emotion recognition methods usually...
Humans Female Young Adult Adult Male Emotions Arousal Facial Recognition Electroencephalography Attention Facial Expression
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Improving EEG based brain computer interface emotion detection with EKO ALSTM model.

Scientific reports Jul 1, 2025
Decoding signals from the CNS brain activity is done by a computer-based communication device called a BCI. In contrast, the system is considered compelling communication equipment enabling command, communication, and action without using neuromuscul...
Signal Processing, Computer-Assisted Brain-Computer Interfaces Algorithms Brain Female Emotions Electroencephalography Adult Male Humans
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Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection.

Scientific reports Jul 1, 2025
Schizophrenia is a mental disorder characterized by hallucinations, delusions, disorganized thinking and behavior, and inappropriate affect. Early and accurate diagnosis of schizophrenia remains a challenge due to the disorder's complex nature and th...
Male Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted Schizophrenia Algorithms Female Adult Humans
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Towards decoding motor imagery from EEG signal using optimized back propagation neural network with honey badger algorithm.

Scientific reports Jul 1, 2025
The importance of using Brain-Computer Interface (BCI) systems based on electro encephalography (EEG) signal to decode Motor Imagery(MI) is very impressive because of the possibility of analyzing and translating brain signals related to movement inte...
Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Neural Networks, Computer Algorithms Brain Movement Imagination Humans
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Schizophrenia detection from electroencephalogram signals using image encoding and wrapper-based deep feature selection approach.

Scientific reports Jul 1, 2025
Schizophrenia is a persistent and serious mental illness that leads to distortions in cognition, perception, emotions, speech, self-awareness, and actions. Affecting about 1% of people worldwide, schizophrenia usually emerges in late adolescence or e...
Machine Learning Brain Female Humans Electroencephalography Signal Processing, Computer-Assisted Schizophrenia Adult Male Deep Learning
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Enhanced role of the entorhinal cortex in adapting to increased working memory load.

Nature communications Jul 1, 2025
In daily life, we frequently encounter varying demands on working memory (WM), yet how the brain adapts to high WM load remains unclear. To address this question, we recorded intracranial EEG from hippocampus, entorhinal cortex (EC), and lateral temp...
Entorhinal Cortex Temporal Lobe Electroencephalography Memory, Short-Term Hippocampus Humans Machine Learning Female Young Adult Adult Male
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