AIMC Topic: Brain

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A deep learning approach for quantifying CT perfusion parameters in stroke.

Biomedical physics & engineering express Apr 16, 2025
. Computed tomography perfusion (CTP) imaging is widely used for assessing acute ischemic stroke. However, conventional methods for quantifying CTP images, such as singular value decomposition (SVD), often lead to oscillations in the estimated residu...
Cerebrovascular Circulation Perfusion Imaging Image Processing, Computer-Assisted Stroke Perfusion Tomography, X-Ray Computed Male Deep Learning Algorithms Brain Humans
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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 ...
Convolutional Neural Networks Female Visual Perception Brain Mapping Young Adult Male Photic Stimulation Humans Neural Networks, Computer Brain
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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...
Brain-Computer Interfaces Imagination Brain Electroencephalography Signal Processing, Computer-Assisted Humans Neural Networks, Computer
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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...
Brain Humans Animals Unsupervised Machine Learning Neural Networks, Computer Neurosciences
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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, ...
Humans Adult Male Middle Aged Case-Control Studies Schizophrenia Machine Learning Support Vector Machine Brain Magnetic Resonance Imaging Female
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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...
Deep Learning Image Processing, Computer-Assisted Connectome Diffusion Tensor Imaging Humans Brain
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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...
Male Middle Aged ROC Curve Female Aged Radiomics Magnetic Resonance Imaging Diagnosis, Differential Supranuclear Palsy, Progressive Humans Machine Learning Phenotype Brain
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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...
Psychotic Disorders Young Adult Quetiapine Fumarate Adult Humans Antipsychotic Agents Male Brain Treatment Outcome Adolescent Female Mania Longitudinal Studies Bipolar Disorder Magnetic Resonance Imaging Antimanic Agents
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"Don't stop believing" - Decoding belief dynamics in the brain: An ALE meta-analysis of neural correlates in belief formation and updating.

Neuroscience and biobehavioral reviews Apr 12, 2025
Understanding how individuals form and update their beliefs is a fundamental question in cognitive and social psychology. Belief formation (BF) refers to the initial development of an individual's belief, while belief updating (BU) pertains to the re...
Humans Brain Magnetic Resonance Imaging Brain Mapping Culture Thinking Theory of Mind
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IT: An interpretable transformer model for Alzheimer's disease prediction based on PET/MR images.

NeuroImage Apr 11, 2025
Alzheimer's disease (AD) represents a significant challenge due to its progressive neurodegenerative impact, particularly within an aging global demographic. This underscores the critical need for developing sophisticated diagnostic tools for its ear...
Alzheimer Disease Humans Positron-Emission Tomography Brain Deep Learning Neuroimaging Image Interpretation, Computer-Assisted Female Magnetic Resonance Imaging Aged Multimodal Imaging Male
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