AIMC Topic: Connectome

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Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN).

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Connectome is understanding the complex organization of the human brain's structural and functional connectivity is essential for gaining insights into cognitive processes and disorders.
Connectome Diffusion Magnetic Resonance Imaging Deep Learning Schizophrenia Machine Learning Brain Female Young Adult Adult Male Humans Neural Networks, Computer
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Super-resolution of diffusion-weighted images using space-customized learning model.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Diffusion-weighted imaging (DWI) is a noninvasive method used for investigating the microstructural properties of the brain. However, a tradeoff exists between resolution and scanning time in clinical practice. Super-resolution has been e...
Humans Image Processing, Computer-Assisted Connectome Diffusion Magnetic Resonance Imaging Neural Networks, Computer Brain Deep Learning
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Neural Networks for Navigation: From Connections to Computations.

Annual review of neuroscience Jul 10, 2023
Many animals can navigate toward a goal they cannot see based on an internal representation of that goal in the brain's spatial maps. These maps are organized around networks with stable fixed-point dynamics (attractors), anchored to landmarks, and r...
Brain Learning Animals Neural Networks, Computer Connectome Models, Neurological Head
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20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
High spatial and temporal resolution across the whole brain is essential to accurately resolve neural activities in fMRI. Therefore, accelerated imaging techniques target improved coverage with high spatio-temporal resolution. Simultaneous multi-slic...
Brain Deep Learning Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Connectome
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The structural connectome and motor recovery after stroke: predicting natural recovery.

Brain : a journal of neurology Aug 17, 2021
Stroke patients vary considerably in terms of outcomes: some patients present 'natural' recovery proportional to their initial impairment (fitters), while others do not (non-fitters). Thus, a key challenge in stroke rehabilitation is to identify indi...
Motor Cortex Support Vector Machine Recovery of Function Stroke Connectome Diffusion Tensor Imaging Humans
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Functional connectome fingerprinting using shallow feedforward neural networks.

Proceedings of the National Academy of Sciences of the United States of America Apr 13, 2021
Although individual subjects can be identified with high accuracy using correlation matrices computed from resting-state functional MRI (rsfMRI) data, the performance significantly degrades as the scan duration is decreased. Recurrent neural networks...
Magnetic Resonance Imaging Connectome Neural Networks, Computer Brain Humans
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DS-GCNs: Connectome Classification using Dynamic Spectral Graph Convolution Networks with Assistant Task Training.

Cerebral cortex (New York, N.Y. : 1991) Jan 5, 2021
Functional connectivity (FC) matrices measure the regional interactions in the brain and have been widely used in neurological brain disease classification. A brain network, also named as connectome, could form a graph structure naturally, the nodes ...
Brain Age Factors Alzheimer Disease Humans Neural Networks, Computer Sex Factors Databases, Factual Connectome
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Predicting the fMRI Signal Fluctuation with Recurrent Neural Networks Trained on Vascular Network Dynamics.

Cerebral cortex (New York, N.Y. : 1991) Jan 5, 2021
Resting-state functional MRI (rs-fMRI) studies have revealed specific low-frequency hemodynamic signal fluctuations (<0.1 Hz) in the brain, which could be related to neuronal oscillations through the neurovascular coupling mechanism. Given the vascul...
Female Young Adult Adult Animals Male Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Rest Models, Neurological Connectome Brain Mapping Rats Cerebrovascular Circulation Blood Vessels Electroencephalography Magnetic Resonance Imaging Default Mode Network
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in the Era of Artificial Intelligence.

Brain connectivity Oct 1, 2020
Neuroimaging Connectome Neural Pathways Image Processing, Computer-Assisted Humans Brain Mapping Artificial Intelligence Brain
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Unsupervised stratification in neuroimaging through deep latent embeddings.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
There is growing evidence that the use of stringent and dichotomic diagnostic categories in many medical disciplines (particularly 'brain sciences' as neurology and psychiatry) is an oversimplification. Although clear diagnostic boundaries remain use...
Brain Humans Neuroimaging Deep Learning Databases, Factual Cluster Analysis Connectome
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