AIMC Topic: Rest

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Representation learning of resting state fMRI with variational autoencoder.

NeuroImage Jul 23, 2021
Resting state functional magnetic resonance imaging (rsfMRI) data exhibits complex but structured patterns. However, the underlying origins are unclear and entangled in rsfMRI data. Here we establish a variational auto-encoder, as a generative model ...
Rest Individuality Connectome Humans Databases, Factual Brain Magnetic Resonance Imaging Unsupervised Machine Learning
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Deep learning for sex classification in resting-state and task functional brain networks from the UK Biobank.

NeuroImage Jul 20, 2021
Classification of whole-brain functional connectivity MRI data with convolutional neural networks (CNNs) has shown promise, but the complexity of these models impedes understanding of which aspects of brain activity contribute to classification. Whil...
Databases, Factual Brain Female Male Humans Psychomotor Performance United Kingdom Rest Nerve Net Deep Learning Magnetic Resonance Imaging Biological Specimen Banks Sex Characteristics
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Discrimination between healthy and patients with Parkinson's disease from hand resting activity using inertial measurement unit.

Biomedical engineering online May 22, 2021
BACKGROUND: Parkinson's disease (PD) is a neurological disease that affects the motor system. The associated motor symptoms are muscle rigidity or stiffness, bradykinesia, tremors, and gait disturbances. The correct diagnosis, especially in the initi...
Aged Male Middle Aged Case-Control Studies Humans Female Rest Support Vector Machine Parkinson Disease Signal Processing, Computer-Assisted Hand
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Artificial intelligence to predict task activation from resting state fMRI.

European radiology May 7, 2021
Magnetic Resonance Imaging Brain Mapping Humans Rest Artificial Intelligence Brain
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Intranasal vasopressin modulates resting state brain activity across multiple neural systems: Evidence from a brain imaging machine learning study.

Neuropharmacology Apr 11, 2021
Arginine vasopressin (AVP), a neuropeptide with widespread receptors in brain regions important for socioemotional processing, is critical in regulating various mammalian social behavior and emotion. Although a growing body of task-based brain imagin...
Neural Pathways Perception Motor Activity Administration, Intranasal Emotions Vasoconstrictor Agents Rest Arginine Vasopressin Social Behavior Social Cognition Machine Learning Brain Young Adult Adult Male Functional Neuroimaging Adolescent Humans Magnetic Resonance Imaging
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Reliability modelling of resting-state functional connectivity.

NeuroImage Feb 11, 2021
Resting-state functional magnetic resonance imaging (rs-fMRI) has an inherently low signal-to-noise ratio largely due to thermal and physiological noise that attenuates the functional connectivity (FC) estimates. Such attenuation limits the reliabili...
Neural Networks, Computer Databases, Factual Brain Female Reproducibility of Results Young Adult Adult Male Humans Nerve Net Twins, Monozygotic Magnetic Resonance Imaging Twins, Dizygotic Blood Pressure Rest Connectome
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Whole-brain modelling of resting state fMRI differentiates ADHD subtypes and facilitates stratified neuro-stimulation therapy.

NeuroImage Feb 10, 2021
Recent advances in non-linear computational and dynamical modelling have opened up the possibility to parametrize dynamic neural mechanisms that drive complex behavior. Importantly, building models of neuronal processes is of key importance to fully ...
Rest Nerve Net Attention Deficit Disorder with Hyperactivity Cohort Studies Magnetic Resonance Imaging Deep Brain Stimulation Neural Networks, Computer Young Adult Brain Humans Computer Simulation Adult Female Male Middle Aged
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Convolutional Neural Networks for Pediatric Refractory Epilepsy Classification Using Resting-State Functional Magnetic Resonance Imaging.

World neurosurgery Jan 6, 2021
OBJECTIVE: This study aims to evaluate the performance of convolutional neural networks (CNNs) trained with resting-state functional magnetic resonance imaging (rfMRI) latency data in the classification of patients with pediatric epilepsy from health...
Rest Neural Pathways Drug Resistant Epilepsy Child ROC Curve Magnetic Resonance Imaging Area Under Curve Male Humans Case-Control Studies Neural Networks, Computer Functional Neuroimaging Brain Adolescent Female
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Machine learning to reveal hidden risk combinations for the trajectory of posttraumatic stress disorder symptoms.

Scientific reports Dec 10, 2020
The nature of the recovery process of posttraumatic stress disorder (PTSD) symptoms is multifactorial. The Massive Parallel Limitless-Arity Multiple-testing Procedure (MP-LAMP), which was developed to detect significant combinational risk factors com...
Walking Humans Severity of Illness Index Aged Machine Learning Rest Stress Disorders, Post-Traumatic Female Risk Adult Risk Factors Unemployment Emergency Shelter Male Predictive Value of Tests Middle Aged
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rest2vec: Vectorizing the resting-state functional connectome using graph embedding.

NeuroImage Nov 11, 2020
Resting-state functional magnetic resonance imaging (rs-fMRI) is widely used in connectomics for studying the functional relationships between regions of the human brain. rs-fMRI connectomics, however, has inherent analytical challenges, such as how ...
Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Machine Learning Rest Brain Connectome
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