AIMC Topic: Brain

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A Fine-grained Hemispheric Asymmetry Network for accurate and interpretable EEG-based emotion classification.

Neural networks : the official journal of the International Neural Network Society Jan 8, 2025
In this work, we propose a Fine-grained Hemispheric Asymmetry Network (FG-HANet), an end-to-end deep learning model that leverages hemispheric asymmetry features within 2-Hz narrow frequency bands for accurate and interpretable emotion classification...
Functional Laterality Humans Deep Learning Neural Networks, Computer Brain Emotions Electroencephalography
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Unveiling neural activity changes in mild cognitive impairment using microstate analysis and machine learning.

Journal of Alzheimer's disease : JAD Jan 8, 2025
BACKGROUND: Mild cognitive impairment (MCI) is recognized as a condition that may increase the risk of developing Alzheimer's disease (AD). Understanding the neural correlates of MCI is crucial for elucidating its pathophysiology and developing effec...
Principal Component Analysis Electroencephalography Entropy Male Middle Aged Cognitive Dysfunction Female Aged Aged, 80 and over Humans Machine Learning Brain
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Task relevant autoencoding enhances machine learning for human neuroscience.

Scientific reports Jan 8, 2025
In human neuroscience, machine learning can help reveal lower-dimensional neural representations relevant to subjects' behavior. However, state-of-the-art models typically require large datasets to train, and so are prone to overfitting on human neur...
Magnetic Resonance Imaging Brain Mapping Machine Learning Neurosciences Algorithms Humans Brain
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Deep Power-Aware Tunable Weighting for Ultrasound Microvascular Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jan 8, 2025
Ultrasound microvascular imaging (UMI), including ultrafast power Doppler imaging (uPDI) and ultrasound localization microscopy (ULM), obtains blood flow information through plane wave (PW) transmissions at high frame rates. However, low signal-to-no...
Image Processing, Computer-Assisted Animals Algorithms Signal-To-Noise Ratio Deep Learning Brain Rats Phantoms, Imaging Ultrasonography Signal Processing, Computer-Assisted Microvessels
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Multi-Scale Pyramid Squeeze Attention Similarity Optimization Classification Neural Network for ERP Detection.

Neural networks : the official journal of the International Neural Network Society Jan 7, 2025
Event-related potentials (ERPs) can reveal brain activity elicited by external stimuli. Innovative methods to decode ERPs could enhance the accuracy of brain-computer interface (BCI) technology and promote the understanding of cognitive processes. Th...
Brain Deep Learning Electroencephalography Humans Neural Networks, Computer Algorithms Attention Brain-Computer Interfaces Evoked Potentials
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MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia.

Brain research bulletin Jan 7, 2025
The methodology of machine learning with multi-omics data has been widely adopted in the discriminative analyses of schizophrenia, but most of these studies ignored the cooperative interactions and topological attributes of multi-omics networks. In t...
Machine Learning Brain Female Adult Male Gastrointestinal Microbiome Multiomics Schizophrenia Humans Neural Networks, Computer
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Attention-Guided 3D CNN With Lesion Feature Selection for Early Alzheimer's Disease Prediction Using Longitudinal sMRI.

IEEE journal of biomedical and health informatics Jan 7, 2025
Predicting the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is critical for early intervention. Towards this end, various deep learning models have been applied in this domain, typically relying on structural magnetic ...
Male Disease Progression Deep Learning Female Aged Aged, 80 and over Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Cognitive Dysfunction Imaging, Three-Dimensional Longitudinal Studies Humans Neural Networks, Computer Brain
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Interpretable Multi-Branch Architecture for Spatiotemporal Neural Networks and Its Application in Seizure Prediction.

IEEE journal of biomedical and health informatics Jan 7, 2025
Currently, spatiotemporal convolutional neural networks (CNNs) for electroencephalogram (EEG) signals have emerged as promising tools for seizure prediction (SP), which explore the spatiotemporal biomarkers in an epileptic brain. Generally, these CNN...
Male Female Electroencephalography Seizures Young Adult Humans Signal Processing, Computer-Assisted Adult Neural Networks, Computer Brain
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A Trustworthy Curriculum Learning Guided Multi-Target Domain Adaptation Network for Autism Spectrum Disorder Classification.

IEEE journal of biomedical and health informatics Jan 7, 2025
Domain adaptation has demonstrated success in classification of multi-center autism spectrum disorder (ASD). However, current domain adaptation methods primarily focus on classifying data in a single target domain with the assistance of one or multip...
Male Child Image Interpretation, Computer-Assisted Autism Spectrum Disorder Brain Female Humans Machine Learning
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DCTP-Net: Dual-Branch CLIP-Enhance Textual Prompt-Aware Network for Acute Ischemic Stroke Lesion Segmentation From CT Image.

IEEE journal of biomedical and health informatics Jan 7, 2025
Detecting early ischemic lesions (EIL) in computed tomography (CT) images is crucial for reducing diagnostic time and minimizing neuron loss due to oxygen deprivation. This paper introduces DCTP-Net, a dual-branch network for segmenting acute ischemi...
Tomography, X-Ray Computed Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Brain
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