AIMC Topic: Brain

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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 Algorithms Brain Magnetic Resonance Imaging Female Aged Parkinson Disease Humans Male Neuroimaging Machine Learning Middle Aged
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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...
Humans Neural Networks, Computer Brain Models, Neurological Animals Action Potentials Neurons Neuronal Plasticity Nerve Net
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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...
Emotions Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Female Adult Male Humans Algorithms Brain
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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...
Neural Networks, Computer Algorithms Humans Brain-Computer Interfaces Brain Movement Electroencephalography Imagination Signal Processing, Computer-Assisted
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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...
Electroencephalography Humans Signal Processing, Computer-Assisted Machine Learning Schizophrenia Brain Male Deep Learning Female Adult
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Machine learning model for predicting Amyloid-β positivity and cognitive status using early-phase F-Florbetaben PET and clinical features.

Scientific reports Jul 1, 2025
This study developed machine learning models to predict Aβ positivity in Alzheimer's disease by integrating early-phase F-Florbetaben PET and clinical data to improve diagnostic accuracy. Furthermore, the study explored machine learning models to pre...
Positron-Emission Tomography Stilbenes Amyloid beta-Peptides Alzheimer Disease Aniline Compounds Female Aged Aged, 80 and over Cognitive Dysfunction Cognition Male Middle Aged Humans Machine Learning Brain
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Ultradeep N-glycoproteome atlas of mouse reveals spatiotemporal signatures of brain aging and neurodegenerative diseases.

Nature communications Jul 1, 2025
The current depth of site-specific N-glycoproteomics is insufficient to fully characterize glycosylation events in biological samples. Herein, we achieve an ultradeep and precision analysis of the N-glycoproteome of mouse tissues by integrating multi...
Humans Aging Mice Proteomics Proteome Brain Animals Male Alzheimer Disease Glycopeptides Glycoproteins Databases, Protein Neurodegenerative Diseases Glycosylation Mice, Inbred C57BL Parkinson Disease
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Brain-wide input-output analysis of tuberal nucleus somatostatin neurons reveals hierarchical circuits for orchestrating feeding behavior.

Nature communications Jul 1, 2025
Feeding is an innate behavior critical for survival but is also influenced by many non-nutritional factors such as emotion, social context and environmental conditions. Recently, tuberal nucleus somatostatin (SST) neurons have been identified as a ke...
Brain Nerve Net Mice Somatostatin Mice, Inbred C57BL Neurons Agouti-Related Protein Feeding Behavior Animals Neural Pathways Male
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D2C-Morph: Brain regional segmentation based on unsupervised registration network with similarity analysis.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 30, 2025
Brain regional segmentation is an image-processing approach widely used in brain image analyses. Deep learning models that perform segmentation alone play an important role in medical fields such as automatic diagnosis and prognosis prediction. This ...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Unsupervised Machine Learning Humans Algorithms Brain
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Artificial intelligence meets brain theory (again).

Biological cybernetics Jun 28, 2025
After noting the cybernetic origins of Kybernetik/ Biological Cybernetics, we respond to the Editorial by Fellous et al. (2025) and then analyze talks from the NIH BRAIN NeuroAI 2024 Workshop to get one "snapshot" of the state of the conversation bet...
Humans Artificial Intelligence Animals Brain
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