AIMC Topic: Brain

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MRI super-resolution using similarity distance and multi-scale receptive field based feature fusion GAN and pre-trained slice interpolation network.

Magnetic resonance imaging Apr 21, 2024
Challenges arise in achieving high-resolution Magnetic Resonance Imaging (MRI) to improve disease diagnosis accuracy due to limitations in hardware, patient discomfort, long acquisition times, and high costs. While Convolutional Neural Networks (CNNs...
Magnetic Resonance Imaging Brain Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Classification of mental workload using brain connectivity and machine learning on electroencephalogram data.

Scientific reports Apr 21, 2024
Mental workload refers to the cognitive effort required to perform tasks, and it is an important factor in various fields, including system design, clinical medicine, and industrial applications. In this paper, we propose innovative methods to assess...
Cognition Support Vector Machine Electroencephalography Young Adult Humans Workload Adult Algorithms Machine Learning Male Brain Female
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An analysis of information segregation in parallel streams of a multi-stream convolutional neural network.

Scientific reports Apr 20, 2024
Visual information is processed in hierarchically organized parallel streams in the primate brain. In the present study, information segregation in parallel streams was examined by constructing a convolutional neural network with parallel architectur...
Neural Networks, Computer Brain Recognition, Psychology Animals Visual Cortex
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Migraine aura discrimination using machine learning: an fMRI study during ictal and interictal periods.

Medical & biological engineering & computing Apr 19, 2024
Functional magnetic resonance imaging (fMRI) studies on migraine with aura are challenging due to the rarity of patients with triggered cases. This study optimized methodologies to explore differences in ictal and interictal spatiotemporal activation...
Magnetic Resonance Imaging Brain Mapping Migraine with Aura Female Adult Machine Learning Male Humans Algorithms Brain
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A single-joint multi-task motor imagery EEG signal recognition method based on Empirical Wavelet and Multi-Kernel Extreme Learning Machine.

Journal of neuroscience methods Apr 19, 2024
BACKGROUND: In the pursuit of finer Brain-Computer Interface commands, research focus has shifted towards classifying EEG signals for multiple tasks. While single-joint multitasking motor imagery provides support, distinguishing between EEG signals f...
Electroencephalography Signal Processing, Computer-Assisted Wrist Young Adult Brain-Computer Interfaces Imagination Machine Learning Adult Humans Wavelet Analysis Brain Male Motor Activity Female
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A neurofunctional signature of subjective disgust generalizes to oral distaste and socio-moral contexts.

Nature human behaviour Apr 19, 2024
While disgust originates in the hard-wired mammalian distaste response, the conscious experience of disgust in humans strongly depends on subjective appraisal and may even extend to socio-moral contexts. Here, in a series of studies, we combined func...
Adult Male Magnetic Resonance Imaging Brain Humans Disgust Emotions Female Machine Learning Young Adult Fear
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Imagined speech classification exploiting EEG power spectrum features.

Medical & biological engineering & computing Apr 18, 2024
Imagined speech recognition has developed as a significant topic of research in the field of brain-computer interfaces. This innovative technique has great promise as a communication tool, providing essential help to those with impairments. An imagin...
Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Male Speech Support Vector Machine Imagination Humans Algorithms Female Brain Young Adult Adult
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Union is strength: the combination of radiomics features and 3D-deep learning in a sole model increases diagnostic accuracy in demented patients: a whole brain 18FDG PET-CT analysis.

Nuclear medicine communications Apr 18, 2024
OBJECTIVE: FDG PET imaging plays a crucial role in the evaluation of demented patients by assessing regional cerebral glucose metabolism. In recent years, both radiomics and deep learning techniques have emerged as powerful tools for extracting valua...
Humans Brain Female Adult Radiomics Male Middle Aged Aged Aged, 80 and over Young Adult Image Processing, Computer-Assisted Positron Emission Tomography Computed Tomography Fluorodeoxyglucose F18 Deep Learning Dementia Imaging, Three-Dimensional
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DIMOND: DIffusion Model OptimizatioN with Deep Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 18, 2024
Diffusion magnetic resonance imaging is an important tool for mapping tissue microstructure and structural connectivity non-invasively in the in vivo human brain. Numerous diffusion signal models are proposed to quantify microstructural properties. N...
Image Processing, Computer-Assisted Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Humans Brain Deep Learning
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High-resolution 3T to 7T ADC map synthesis with a hybrid CNN-transformer model.

Medical physics Apr 17, 2024
BACKGROUND: 7 Tesla (7T) apparent diffusion coefficient (ADC) maps derived from diffusion-weighted imaging (DWI) demonstrate improved image quality and spatial resolution over 3 Tesla (3T) ADC maps. However, 7T magnetic resonance imaging (MRI) curren...
Brain Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer Diffusion Magnetic Resonance Imaging
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