AIMC Topic: Brain

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Enhancing brain age estimation under uncertainty: A spectral-normalized neural gaussian process approach utilizing 2.5D slicing.

NeuroImage Apr 1, 2025
Brain age gap, the difference between estimated brain age and chronological age via magnetic resonance imaging, has emerged as a pivotal biomarker in the detection of brain abnormalities. While deep learning is accurate in estimating brain age, the a...
Neuroimaging Normal Distribution Uncertainty Child Image Processing, Computer-Assisted Magnetic Resonance Imaging Young Adult Adult Male Deep Learning Adolescent Aging Middle Aged Humans Brain Female
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A Deep-Learning Empowered, Real-Time Processing Platform of fNIRS/DOT for Brain Computer Interfaces and Neurofeedback.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 1, 2025
Brain-Computer Interfaces (BCI) and Neurofeedback (NFB) approaches, which both rely on real-time monitoring of brain activity, are increasingly being applied in rehabilitation, assistive technology, neurological diseases and behavioral disorders. Fun...
Deep Learning Humans Computer Systems Female Image Processing, Computer-Assisted Adult Calibration Young Adult Male Artifacts Algorithms Tomography, Optical Brain-Computer Interfaces Spectroscopy, Near-Infrared Brain Neurofeedback
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Deep graph learning of multimodal brain networks defines treatment-predictive signatures in major depression.

Molecular psychiatry Mar 31, 2025
Major depressive disorder (MDD) presents a substantial health burden with low treatment response rates. Predicting antidepressant efficacy is challenging due to MDD's complex and varied neuropathology. Identifying biomarkers for antidepressant treatm...
Deep Learning Treatment Outcome Magnetic Resonance Imaging Multicenter Studies as Topic Male Middle Aged Depressive Disorder, Major Female Antidepressive Agents Adult Gyrus Cinguli Brain Mapping Humans Nerve Net Randomized Controlled Trials as Topic Brain Sertraline Electroencephalography
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Shared autonomy between human electroencephalography and TD3 deep reinforcement learning: A multi-agent copilot approach.

Annals of the New York Academy of Sciences Mar 30, 2025
Deep reinforcement learning (RL) algorithms enable the development of fully autonomous agents that can interact with the environment. Brain-computer interface (BCI) systems decipher human implicit brain signals regardless of the explicit environment....
Reinforcement, Psychology Reinforcement Machine Learning Humans Deep Learning Algorithms Electroencephalography Brain Brain-Computer Interfaces
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Multivariate Classification of Adolescent Major Depressive Disorder Using Whole-brain Functional Connectivity.

Academic radiology Mar 29, 2025
RATIONALE AND OBJECTIVES: Adolescent major depressive disorder (MDD) is a serious mental health condition that has been linked to abnormal functional connectivity (FC) patterns within the brain. However, whether FC could be used as a potential biomar...
Humans Depressive Disorder, Major Adolescent Support Vector Machine Magnetic Resonance Imaging Brain Female Male Brain Mapping Multivariate Analysis
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Advanced convolutional neural network with attention mechanism for Alzheimer's disease classification using MRI.

Computers in biology and medicine Mar 29, 2025
This paper introduces a novel convolutional neural network model with an attention mechanism to advance Alzheimer disease (AD) classification using Magnetic Resonance Imaging (MRI). The model architecture is meticulously crafted to enhance feature ex...
Humans Neural Networks, Computer Aged Male Brain Female Image Interpretation, Computer-Assisted Convolutional Neural Networks Magnetic Resonance Imaging Alzheimer Disease
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Deep structural brain imaging via computational three-photon microscopy.

Journal of biomedical optics Mar 29, 2025
SIGNIFICANCE: High-resolution optical imaging at significant depths is challenging due to scattering, which impairs image quality in living matter with complex structures. We address the need for improved imaging techniques in deep tissues.
Microscopy, Fluorescence, Multiphoton Hippocampus Neuroimaging Signal-To-Noise Ratio Imaging, Three-Dimensional Image Processing, Computer-Assisted Mice Brain Animals Deep Learning
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Flexible Patched Brain Transformer model for EEG decoding.

Scientific reports Mar 29, 2025
Decoding the human brain using non-invasive methods is a significant challenge. This study aims to enhance electroencephalography (EEG) decoding by developing of machine learning methods. Specifically, we propose the novel, attention-based Patched Br...
Brain Electroencephalography Signal Processing, Computer-Assisted Humans Machine Learning Algorithms
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Association of the characteristics of brain magnetic resonance imaging with genes related to disease onset in schizophrenia patients.

SLAS technology Mar 28, 2025
BACKGROUND: Schizophrenia (SCH) is a complex neurodevelopmental disorder, whose pathogenesis is not fully elucidated. This article aims to reveal disease-specific brain structural and functional changes and their potential genetic basis by analyzing ...
Protein Interaction Maps Magnetic Resonance Imaging Schizophrenia Brain Male Humans Gene Expression Profiling
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Diffusion MRI GAN synthesizing fibre orientation distribution data using generative adversarial networks.

Communications biology Mar 28, 2025
Machine learning may enhance clinical data analysis but requires large amounts of training data, which are scarce for rare pathologies. While generative neural network models can create realistic synthetic data such as 3D MRI volumes and, thus, augme...
Image Processing, Computer-Assisted Connectome Diffusion Magnetic Resonance Imaging Machine Learning Brain Humans Neural Networks, Computer
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