AIMC Topic: Brain

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A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural language processing in everyday conversations.

Nature human behaviour Mar 7, 2025
This study introduces a unified computational framework connecting acoustic, speech and word-level linguistic structures to study the neural basis of everyday conversations in the human brain. We used electrocorticography to record neural signals acr...
Humans Brain Language Brain Mapping Natural Language Processing Comprehension Speech Perception Electrocorticography Male Speech Models, Neurological Female Young Adult Adult
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Towards automatic US-MR fetal brain image registration with learning-based methods.

NeuroImage Mar 7, 2025
Fetal brain imaging is essential for prenatal care, with ultrasound (US) and magnetic resonance imaging (MRI) providing complementary strengths. While MRI has superior soft tissue contrast, US offers portable and inexpensive screening of neurological...
Ultrasonography, Prenatal Multimodal Imaging Image Processing, Computer-Assisted Neuroimaging Magnetic Resonance Imaging Humans Prenatal Diagnosis Machine Learning Brain Pregnancy Female
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Rehabilitation training robot using mirror therapy for the upper and lower limb after stroke: a prospective cohort study.

Journal of neuroengineering and rehabilitation Mar 7, 2025
BACKGROUND: This prospective cohort study was designed to investigate and compare the effectiveness of rehabilitation training robots versus conventional rehabilitation training on stroke survivors by monitoring alterations in brain network of stroke...
Stroke Rehabilitation Female Stroke Aged Exercise Therapy Adult Lower Extremity Upper Extremity Humans Recovery of Function Prospective Studies Male Robotics Brain Middle Aged Magnetic Resonance Imaging
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Alzheimer's disease prediction using 3D-CNNs: Intelligent processing of neuroimaging data.

SLAS technology Mar 6, 2025
Alzheimer's disease (AD) is a severe neurological illness that demolishes memory and brain functioning. This disease affects an individual's capacity to work, think, and behave. The proportion of individuals suffering from AD is rapidly increasing. I...
Cognitive Dysfunction Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer Brain Magnetic Resonance Imaging Alzheimer Disease Neuroimaging
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A comprehensive approach to anticipating the progression of mild cognitive impairment.

Brain research Mar 6, 2025
The immersive experience provided by our approach empowers researchers with an intuitive exploration of brain structures. Within the brain's central nervous system, encompassing both white and gray matter, symptoms associated with Alzheimer's disease...
Magnetic Resonance Imaging Alzheimer Disease Gray Matter Brain Humans Disease Progression Cognitive Dysfunction
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Deep learning models as learners for EEG-based functional brain networks.

Journal of neural engineering Mar 6, 2025
Functional brain network (FBN) methods are commonly integrated with deep learning (DL) models for EEG analysis. Typically, an FBN is constructed to extract features from EEG data, which are then fed into a DL model for further analysis. Beyond this t...
Humans Brain Deep Learning Electroencephalography Nerve Net
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Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis.

IEEE transactions on cybernetics Mar 6, 2025
Neuroimaging analysis aims to reveal the information-processing mechanisms of the human brain in a noninvasive manner. In the past, graph neural networks (GNNs) have shown promise in capturing the non-Euclidean structure of brain networks. However, e...
Algorithms Brain Spatio-Temporal Analysis Image Processing, Computer-Assisted Neuroimaging Humans Neural Networks, Computer
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A Lightweight Deep Convolutional Neural Network Extracting Local and Global Contextual Features for the Classification of Alzheimer's Disease Using Structural MRI.

IEEE journal of biomedical and health informatics Mar 6, 2025
Recent advancements in the classification of Alzheimer's disease have leveraged the automatic feature generation capability of convolutional neural networks (CNNs) using neuroimaging biomarkers. However, most of the existing CNN-based methods often d...
Alzheimer Disease Humans Deep Learning Image Interpretation, Computer-Assisted Neural Networks, Computer Neuroimaging Databases, Factual Convolutional Neural Networks Magnetic Resonance Imaging Brain
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EEG-Deformer: A Dense Convolutional Transformer for Brain-Computer Interfaces.

IEEE journal of biomedical and health informatics Mar 6, 2025
Effectively learning the temporal dynamics in electroencephalogram (EEG) signals is challenging yet essential for decoding brain activities using brain-computer interfaces (BCIs). Although Transformers are popular for their long-term sequential learn...
Brain-Computer Interfaces Male Electroencephalography Signal Processing, Computer-Assisted Young Adult Adult Humans Neural Networks, Computer Brain
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Efficient Brain Tumor Detection and Segmentation Using DN-MRCNN With Enhanced Imaging Technique.

Microscopy research and technique Mar 4, 2025
This article proposes a method called DenseNet 121-Mask R-CNN (DN-MRCNN) for the detection and segmentation of brain tumors. The main objective is to reduce the execution time and accurately locate and segment the tumor, including its subareas. The i...
Brain Brain Neoplasms Humans Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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