AIMC Topic: Brain

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Scalable geometric learning with correlation-based functional brain networks.

Scientific reports Jul 2, 2025
Correlation matrices serve as fundamental representations of functional brain networks in neuroimaging. Conventional analyses often treat pairwise interactions independently within Euclidean space, neglecting the underlying geometry of correlation st...
Humans Electroencephalography Machine Learning Neuroimaging Algorithms Nerve Net Brain Computer Simulation Magnetic Resonance Imaging Brain Mapping
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A novel neuroimaging based early detection framework for alzheimer disease using deep learning.

Scientific reports Jul 2, 2025
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly impacts cognitive function, posing a major global health challenge. Despite its rising prevalence, particularly in low and middle-income countries, early diagnosi...
Humans Brain Early Diagnosis Deep Learning Female Neuroimaging Alzheimer Disease Magnetic Resonance Imaging Male Positron-Emission Tomography Diagnosis, Computer-Assisted
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Classifying and diagnosing Alzheimer's disease with deep learning using 6735 brain MRI images.

Scientific reports Jul 2, 2025
Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy processing times, delaying crucial interventions and patient care. Deep convolutional neural networks trained on MRI data can enhance diagnostic precisi...
Humans Neural Networks, Computer Brain Female Image Processing, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease Aged Male Deep Learning
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Accelerating brain T2-weighted imaging using artificial intelligence-assisted compressed sensing combined with deep learning-based reconstruction: a feasibility study at 5.0T MRI.

BMC medical imaging Jul 1, 2025
BACKGROUND: T2-weighted imaging (T2WI), renowned for its sensitivity to edema and lesions, faces clinical limitations due to prolonged scanning time, increasing patient discomfort, and motion artifacts. The individual applications of artificial intel...
Feasibility Studies Young Adult Artifacts Adult Signal-To-Noise Ratio Brain Male Humans Image Processing, Computer-Assisted Female Middle Aged Artificial Intelligence Aged Magnetic Resonance Imaging Deep Learning Prospective Studies
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EEG based real time classification of consecutive two eye blinks for brain computer interface applications.

Scientific reports Jul 1, 2025
Human eye blinks are considered a significant contaminant or artifact in electroencephalogram (EEG), which impacts EEG-based medical or scientific applications. However, eye blink detection can instead be transformed into a potential application of b...
Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted Humans Brain-Computer Interfaces Blinking Female Neural Networks, Computer Young Adult Machine Learning Adult Brain Male
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Brain structural features with functional priori to classify Parkinson's disease and multiple system atrophy using diagnostic MRI.

Scientific reports Jul 1, 2025
Clinical two-dimensional (2D) MRI data has seen limited application in the early diagnosis of Parkinson's disease (PD) and multiple system atrophy (MSA) due to quality limitations, yet its diagnostic and therapeutic potential remains underexplored. T...
Multiple System Atrophy Magnetic Resonance Imaging Parkinson Disease Neuroimaging Aged Male Middle Aged Humans Brain Female Machine Learning Algorithms
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Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity.

Nature communications Jul 1, 2025
Many neural computations emerge from self-sustained patterns of activity in recurrent neural circuits, which rely on balanced excitation and inhibition. Neuromorphic electronic circuits represent a promising approach for implementing the brain's comp...
Action Potentials Neurons Nerve Net Humans Neural Networks, Computer Neuronal Plasticity Models, Neurological Brain Animals
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Improving EEG based brain computer interface emotion detection with EKO ALSTM model.

Scientific reports Jul 1, 2025
Decoding signals from the CNS brain activity is done by a computer-based communication device called a BCI. In contrast, the system is considered compelling communication equipment enabling command, communication, and action without using neuromuscul...
Humans Signal Processing, Computer-Assisted Brain-Computer Interfaces Adult Algorithms Male Emotions Brain Electroencephalography Female
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Towards decoding motor imagery from EEG signal using optimized back propagation neural network with honey badger algorithm.

Scientific reports Jul 1, 2025
The importance of using Brain-Computer Interface (BCI) systems based on electro encephalography (EEG) signal to decode Motor Imagery(MI) is very impressive because of the possibility of analyzing and translating brain signals related to movement inte...
Imagination Humans Brain Signal Processing, Computer-Assisted Neural Networks, Computer Electroencephalography Brain-Computer Interfaces Algorithms Movement
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Schizophrenia detection from electroencephalogram signals using image encoding and wrapper-based deep feature selection approach.

Scientific reports Jul 1, 2025
Schizophrenia is a persistent and serious mental illness that leads to distortions in cognition, perception, emotions, speech, self-awareness, and actions. Affecting about 1% of people worldwide, schizophrenia usually emerges in late adolescence or e...
Humans Machine Learning Brain Deep Learning Female Electroencephalography Signal Processing, Computer-Assisted Adult Schizophrenia Male
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