AIMC Topic: Brain
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Brain-guided convolutional neural networks reveal task-specific representations in scene processing.
Scientific reports
Apr 15, 2025
Scene categorization is the dominant proxy for visual understanding, yet humans can perform a large number of visual tasks within any scene. Consequently, we know little about how different tasks change how a scene is processed, represented, and its ...
Multi-scale convolutional transformer network for motor imagery brain-computer interface.
Scientific reports
Apr 15, 2025
Brain-computer interface (BCI) systems allow users to communicate with external devices by translating neural signals into real-time commands. Convolutional neural networks (CNNs) have been effectively utilized for decoding motor imagery electroencep...
Saturation transfer MR fingerprinting for magnetization transfer contrast and chemical exchange saturation transfer quantification.
Magnetic resonance in medicine
Apr 14, 2025
PURPOSE: The aim of this study was to develop a saturation transfer MR fingerprinting (ST-MRF) technique using a biophysics model-driven deep learning approach.
Unsupervised alignment in neuroscience: Introducing a toolbox for Gromov-Wasserstein optimal transport.
Journal of neuroscience methods
Apr 14, 2025
BACKGROUND: Understanding how sensory stimuli are represented across different brains, species, and artificial neural networks is a critical topic in neuroscience. Traditional methods for comparing these representations typically rely on supervised a...
Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical application.
BMC psychiatry
Apr 14, 2025
BACKGROUND: Early identification of Schizophrenia Spectrum Disorder (SSD) is crucial for effective intervention and prognosis improvement. Previous neuroimaging-based classifications have primarily focused on chronic, medicated SSD cohorts. However, ...
Accelerated diffusion tensor imaging with self-supervision and fine-tuning.
Scientific reports
Apr 14, 2025
Diffusion tensor imaging (DTI) is essential for assessing brain microstructure but requires long acquisition times, limiting clinical use. Recent deep learning (DL) approaches, such as SuperDTI or deepDTI, improve DTI metrics but demand large, high-q...
A radiomics approach to distinguish Progressive Supranuclear Palsy Richardson's syndrome from other phenotypes starting from MR images.
Computer methods and programs in biomedicine
Apr 13, 2025
BACKGROUND AND OBJECTIVE: Progressive Supranuclear Palsy (PSP) is an uncommon neurodegenerative disorder with different clinical onset, including Richardson's syndrome (PSP-RS) and other variant phenotypes (vPSP). Recognising the clinical progression...
Longitudinal brain age in first-episode mania youth treated with lithium or quetiapine.
European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology
Apr 13, 2025
It is unclear if lithium and quetiapine have neuroprotective effects, especially in early stages of bipolar and schizoaffective disorders. Here, an age-related multivariate brain structural measure (i.e., brain-PAD) at baseline and changes in respons...
Hierarchical feature extraction on functional brain networks for autism spectrum disorder identification with resting-state fMRI data.
Neural networks : the official journal of the International Neural Network Society
Apr 12, 2025
Autism Spectrum Disorder (ASD) is a pervasive developmental disorder of the central nervous system, primarily manifesting in childhood. It is characterized by atypical and repetitive behaviors. Conventional diagnostic methods mainly rely on questionn...
Neuroimaging-derived biological brain age and its associations with glial reactivity and synaptic dysfunction cerebrospinal fluid biomarkers.
Molecular psychiatry
Apr 12, 2025
Magnetic resonance Imaging (MRI)-derived brain-age prediction is a promising biomarker of biological brain aging. Accelerated brain aging has been found in Alzheimer's disease (AD) and other neurodegenerative diseases. However, no previous studies ha...
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