AIMC Topic: Connectome

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Trauma-predictive brain network connectivity adaptively responds to mild acute stress.

Proceedings of the National Academy of Sciences of the United States of America Jul 30, 2025
Past traumatic experiences shape neural responses to future stress, but the mechanisms underlying this dynamic interaction remain unclear. Here, we assessed how trauma-related brain networks respond to current acute stress in real time. Using a machi...
Brain Female Young Adult Adult Humans Machine Learning Magnetic Resonance Imaging Hydrocortisone Cross-Over Studies Connectome Male Middle Aged Stress, Psychological Nerve Net
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Disrupted functional topology of the white matter connectome in rhegmatogenous retinal detachment: insights from graph theory and machine learning.

Neuroreport Jun 24, 2025
BACKGROUND: Rhegmatogenous retinal detachment (RRD) is known to induce functional alterations in the gray matter regions associated with vision. However, the impact of RRD on the white matter (WM) connectome remains largely unexplored.
Machine Learning Brain Female Adult Humans Magnetic Resonance Imaging White Matter Male Connectome Middle Aged Retinal Detachment Support Vector Machine
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Differences in resting-state functional connectivity between depressed bipolar and major depressive disorder patients: A machine learning study.

European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology Jun 17, 2025
Nearly 60 % of individuals with bipolar disorder (BD) are initially classified as major depressive disorder (MDD) patients, resulting in inappropriate drug treatment. Identifying reliable biomarkers for the differential diagnosis between MDD and BD p...
Neural Pathways Nerve Net Male Brain Humans Middle Aged Bipolar Disorder Female Machine Learning Depressive Disorder, Major Magnetic Resonance Imaging Young Adult Rest Adult Connectome
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Functional connectome-based predictive modeling of suicidal ideation.

Journal of affective disorders May 27, 2025
Suicide represents an egregious threat to society despite major advancements in medicine, in part due to limited knowledge of the biological mechanisms of suicidal behavior. We apply a connectome predictive modeling machine learning approach to ident...
Suicidal Ideation Magnetic Resonance Imaging Connectome Neural Pathways Nerve Net Male Middle Aged Depressive Disorder, Major Adolescent Aged Humans Young Adult Adult Machine Learning Brain Female
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Light-microscopy-based connectomic reconstruction of mammalian brain tissue.

Nature May 7, 2025
The information-processing capability of the brain's cellular network depends on the physical wiring pattern between neurons and their molecular and functional characteristics. Mapping neurons and resolving their individual synaptic connections can b...
Brain Female Synapses Connectome Mice Animals Neurons Male Hydrogels Deep Learning Microscopy
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How Can Anomalous-Diffusion Neural Networks Under Connectomics Generate Optimized Spatiotemporal Dynamics.

IEEE transactions on neural networks and learning systems May 2, 2025
Spatiotemporal dynamics in the brain have been recognized as strongly related to the formation of perceived and cognitive diseases, such as delusions and hallucinations in Alzheimer's disease. However, two practical considerations are rarely mentione...
Computer Simulation Spatio-Temporal Analysis Models, Neurological Humans Nonlinear Dynamics Neurons Neural Networks, Computer Connectome Algorithms Nerve Net Brain
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ConnectomeAE: Multimodal brain connectome-based dual-branch autoencoder and its application in the diagnosis of brain diseases.

Computer methods and programs in biomedicine Apr 23, 2025
BACKGROUND AND OBJECTIVE: Exploring the dependencies between multimodal brain networks and integrating node features to enhance brain disease diagnosis remains a significant challenge. Some work has examined only brain connectivity changes in patient...
Alzheimer Disease Brain Diseases Connectome Autoencoder Male Deep Learning Magnetic Resonance Imaging Humans Algorithms Autism Spectrum Disorder Brain 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...
Humans Brain Image Processing, Computer-Assisted Deep Learning Connectome Diffusion Tensor Imaging
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Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks.

Medical image analysis Apr 9, 2025
Multimodal neuroimaging data modeling has become a widely used approach but confronts considerable challenges due to their heterogeneity, which encompasses variability in data types, scales, and formats across modalities. This variability necessitate...
Graph Neural Networks Humans Neural Networks, Computer Brain Magnetic Resonance Imaging Multimodal Imaging Connectome Diffusion Tensor Imaging
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Diffusion MRI GAN synthesizing fibre orientation distribution data using generative adversarial networks.

Communications biology Mar 28, 2025
Machine learning may enhance clinical data analysis but requires large amounts of training data, which are scarce for rare pathologies. While generative neural network models can create realistic synthetic data such as 3D MRI volumes and, thus, augme...
Brain Humans Image Processing, Computer-Assisted Neural Networks, Computer Connectome Machine Learning Diffusion Magnetic Resonance Imaging
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