AIMC Topic: Rest

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Discriminating between sleep and exercise-induced fatigue using computer vision and behavioral genetics.

Journal of neurogenetics Aug 19, 2020
Following prolonged swimming, cycle between active swimming bouts and inactive quiescent bouts. Swimming is exercise for and here we suggest that inactive bouts are a recovery state akin to fatigue. It is known that cGMP-dependent kinase (PKG) acti...
Animals Aging Escherichia coli Physical Exertion Pharynx Artificial Intelligence Biomechanical Phenomena Movement Caenorhabditis elegans Caenorhabditis elegans Proteins Cyclic GMP-Dependent Protein Kinases Genetics, Behavioral Sleep Rest Swimming Lab-On-A-Chip Devices Fatigue
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Changes in functional connectivity after theta-burst transcranial magnetic stimulation for post-traumatic stress disorder: a machine-learning study.

European archives of psychiatry and clinical neuroscience Jul 27, 2020
Intermittent theta burst stimulation (iTBS) is a novel treatment approach for post-traumatic stress disorder (PTSD), and recent neuroimaging work indicates that functional connectivity profiles may be able to identify those most likely to respond. Ho...
Dorsolateral Prefrontal Cortex Transcranial Magnetic Stimulation Theta Rhythm Humans Reproducibility of Results Stress Disorders, Post-Traumatic Support Vector Machine Electroencephalography Rest
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Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits.

NeuroImage May 30, 2020
Accumulating evidence from whole brain functional magnetic resonance imaging (fMRI) suggests that the human brain at rest is functionally organized in a spatially and temporally constrained manner. However, because of their complexity, the fundamenta...
Memory, Short-Term Rest Brain Task Performance and Analysis Neural Pathways Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer Brain Mapping Intelligence
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Regular cold water swimming during winter time affects resting hematological parameters and serum erythropoietin.

Journal of physiology and pharmacology : an official journal of the Polish Physiological Society Jan 30, 2020
Recreational winter swimming in cold sea water evokes body responses to regularly repeated cold water immersion. However, the understanding of adaptive changes is still limited and data regarding very short-term exposure to severe cold stress are sca...
Water Humans Erythropoietin Hemoglobins Female Seasons Cold Temperature Erythrocytes Male Hematocrit Rest Folic Acid Middle Aged Immunoglobulins Blood Cell Count Swimming Blood Platelets
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Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual.

Human brain mapping Nov 18, 2019
Schizophrenia is a severe psychiatric disorder associated with both structural and functional brain abnormalities. In the past few years, there has been growing interest in the application of machine learning techniques to neuroimaging data for the d...
Reproducibility of Results Young Adult Adult Male Middle Aged Humans Machine Learning Female Rest Neuroimaging Gray Matter White Matter Connectome Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Multimodal Imaging Schizophrenia Neural Pathways Diffusion Tensor Imaging
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Improved detection of Parkinsonian resting tremor with feature engineering and Kalman filtering.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Nov 5, 2019
OBJECTIVE: Accurate and reliable detection of tremor onset in Parkinson's disease (PD) is critical to the success of adaptive deep brain stimulation (aDBS) therapy. Here, we investigated the potential use of feature engineering and machine learning m...
Tremor Subthalamic Nucleus Female Aged Male Middle Aged Parkinson Disease Reaction Time Deep Brain Stimulation Rest Humans Analysis of Variance Machine Learning Wavelet Analysis Algorithms
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Pharmacologically informed machine learning approach for identifying pathological states of unconsciousness via resting-state fMRI.

NeuroImage Oct 29, 2019
Determining the level of consciousness in patients with disorders of consciousness (DOC) remains challenging. To address this challenge, resting-state fMRI (rs-fMRI) has been widely used for detecting the local, regional, and network activity differe...
Conscious Sedation Deep Sedation Rest Adult Unconsciousness Male Persistent Vegetative State Middle Aged Consciousness Disorders Functional Neuroimaging Child Adolescent Machine Learning Support Vector Machine Brain Magnetic Resonance Imaging Female Humans Anesthesia, General Aged Neural Networks, Computer Wakefulness Young Adult
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Multivariate classification of drug-naive obsessive-compulsive disorder patients and healthy controls by applying an SVM to resting-state functional MRI data.

BMC psychiatry Jul 5, 2019
BACKGROUND: Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies have revealed intrinsic regional activity alterations in obsessive-compulsive disorder (OCD), but those results were based on group analyses, which limits thei...
Young Adult Adult Male Case-Control Studies Support Vector Machine Magnetic Resonance Imaging Brain Mapping Rest Multivariate Analysis Parietal Lobe Humans Temporal Lobe Brain Obsessive-Compulsive Disorder Female Limbic System
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3D-CNN based discrimination of schizophrenia using resting-state fMRI.

Artificial intelligence in medicine Jun 22, 2019
MOTIVATION: This study reports a framework to discriminate patients with schizophrenia and normal healthy control subjects, based on magnetic resonance imaging (MRI) of the brain. Resting-state functional MRI data from a total of 144 subjects (72 pat...
Male Brain Middle Aged Humans Female Magnetic Resonance Imaging Case-Control Studies Neural Networks, Computer Young Adult Area Under Curve Deep Learning Discriminant Analysis Adult Functional Neuroimaging Schizophrenia Rest
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Machine learning in resting-state fMRI analysis.

Magnetic resonance imaging Jun 5, 2019
Machine learning techniques have gained prominence for the analysis of resting-state functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview of various unsupervised and supervised machine learning applications to rs-fMRI. W...
Rest Brain Diseases Male Magnetic Resonance Imaging Humans Brain Mapping Machine Learning Image Interpretation, Computer-Assisted Algorithms Brain Female
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