AIMC Topic: Brain

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Decoding of lexical items and grammatical features in EEG: A cross-linguistic study.

Neuropsychologia Apr 23, 2025
Diverse evidence supports the theory that bilingual language users have language-invariant representations of concepts and grammatical forms such as argument structure. Here we extend that work to test the representation of morphosyntactic features a...
Psycholinguistics Female Young Adult Multilingualism Adult Linguistics Reading Semantics Evoked Potentials Male Electroencephalography Humans Machine Learning Brain
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ConnectomeAE: Multimodal brain connectome-based dual-branch autoencoder and its application in the diagnosis of brain diseases.

Computer methods and programs in biomedicine Apr 23, 2025
BACKGROUND AND OBJECTIVE: Exploring the dependencies between multimodal brain networks and integrating node features to enhance brain disease diagnosis remains a significant challenge. Some work has examined only brain connectivity changes in patient...
Brain Diseases Connectome Autoencoder Deep Learning Magnetic Resonance Imaging Alzheimer Disease Algorithms Autism Spectrum Disorder Humans Brain Female Male
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Associations among white matter microstructural changes and the development of emotional reactivity and regulation in infancy.

Molecular psychiatry Apr 23, 2025
Deficits in emotional reactivity and regulation assessed in infancy, including high levels of negative emotionality (NE), low positive emotionality (PE) and low soothability, can predict future affective and behavioral disorders. White matter (WM) tr...
Humans Brain Magnetic Resonance Imaging Emotions White Matter Neural Pathways Female Male Infant Diffusion Tensor Imaging Child Development Emotional Regulation
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AdamGraph: Adaptive Attention-Modulated Graph Network for EEG Emotion Recognition.

IEEE transactions on cybernetics Apr 23, 2025
The underlying time-variant and subject-specific brain dynamics lead to inconsistent distributions in electroencephalogram (EEG) topology and representations within and between individuals. However, current works primarily align the distributions of ...
Brain Emotions Electroencephalography Neural Networks, Computer Humans Signal Processing, Computer-Assisted Algorithms Attention Databases, Factual
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Dynamic Hierarchical Convolutional Attention Network for Recognizing Motor Imagery Intention.

IEEE transactions on cybernetics Apr 23, 2025
The neural activity patterns of localized brain regions are crucial for recognizing brain intentions. However, existing electroencephalogram (EEG) decoding models, especially those based on deep learning, predominantly focus on global spatial feature...
Imagination Electroencephalography Signal Processing, Computer-Assisted Intention Adult Neural Networks, Computer Male Brain Deep Learning Female Humans Young Adult
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Enhancing motor imagery EEG classification with a Riemannian geometry-based spatial filtering (RSF) method.

Neural networks : the official journal of the International Neural Network Society Apr 22, 2025
Motor imagery (MI) refers to the mental simulation of movements without physical execution, and it can be captured using electroencephalography (EEG). This area has garnered significant research interest due to its substantial potential in brain-comp...
Humans Algorithms Brain-Computer Interfaces Signal-To-Noise Ratio Movement Imagination Brain Electroencephalography Signal Processing, Computer-Assisted
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SynMSE: A multimodal similarity evaluator for complex distribution discrepancy in unsupervised deformable multimodal medical image registration.

Medical image analysis Apr 22, 2025
Unsupervised deformable multimodal medical image registration often confronts complex scenarios, which include intermodality domain gaps, multi-organ anatomical heterogeneity, and physiological motion variability. These factors introduce substantial ...
Magnetic Resonance Imaging Brain Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Unsupervised Machine Learning Humans Image Processing, Computer-Assisted Multimodal Imaging Algorithms
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Parcellation of individual brains: From group level atlas to precise mapping.

Neuroscience and biobehavioral reviews Apr 21, 2025
Individual brains vary greatly in morphology, connectivity, and organization. Group-level brain parcellations, which do not account for individual variations in brain parcels, are increasingly limited in their applicability, especially given the rapi...
Atlases as Topic Magnetic Resonance Imaging Brain Mapping Neuroimaging Humans Machine Learning Brain
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A CVAE-based generative model for generalized B inhomogeneity corrected chemical exchange saturation transfer MRI at 5 T.

NeuroImage Apr 21, 2025
Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) has emerged as a powerful tool to image endogenous or exogenous macromolecules. CEST contrast highly depends on radiofrequency irradiation B level. Spatial inhomogeneity of...
Humans Brain Adult Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Deconvolution of cell types and states in spatial multiomics utilizing TACIT.

Nature communications Apr 21, 2025
Identifying cell types and states remains a time-consuming, error-prone challenge for spatial biology. While deep learning increasingly plays a role, it is difficult to generalize due to variability at the level of cells, neighborhoods, and niches in...
Mice Multiomics Proteomics Humans Gene Expression Profiling Intestines Brain Unsupervised Machine Learning Transcriptome Animals Deep Learning
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