AIMC Topic: Connectome

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Resting state connectivity best predicts alcohol use severity in moderate to heavy alcohol users.

NeuroImage. Clinical Mar 19, 2019
BACKGROUND: In the United States, 13% of adults are estimated to have alcohol use disorder (AUD). Most studies examining the neurobiology of AUD treat individuals with this disorder as a homogeneous group; however, the theories of the neurocircuitry ...
Middle Aged Severity of Illness Index Magnetic Resonance Imaging Models, Neurological Young Adult Adult Male Alcoholism Connectome Nerve Net Humans Machine Learning Female
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Visual network alterations in brain functional connectivity in chronic low back pain: A resting state functional connectivity and machine learning study.

NeuroImage. Clinical Mar 14, 2019
Chronic low back pain (cLBP) is associated with widespread functional and structural changes in the brain. This study aims to investigate the resting state functional connectivity (rsFC) changes of visual networks in cLBP patients and the feasibility...
Cerebral Cortex Connectome Nerve Net Visual Perception Cohort Studies Support Vector Machine Humans Magnetic Resonance Imaging Female Low Back Pain Young Adult Adult Male Middle Aged
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Functional brain networks and neuroanatomy underpinning nausea severity can predict nausea susceptibility using machine learning.

The Journal of physiology Feb 27, 2019
KEY POINTS: Nausea is an adverse experience characterised by alterations in autonomic and cerebral function. Susceptibility to nausea is difficult to predict, but machine learning has yet to be applied to this field of study. The severity of nausea t...
Brain Female Adult Male Humans Connectome Machine Learning Middle Aged Nausea Adolescent Autonomic Nervous System Magnetic Resonance Imaging Motion Sickness Gastrointestinal Tract
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Network abnormalities among non-manifesting Parkinson disease related LRRK2 mutation carriers.

Human brain mapping Feb 21, 2019
Non-manifesting carriers (NMC) of the G2019S mutation in the LRRK2 gene represent an "at risk" group for future development of Parkinson's disease (PD) and have demonstrated task related fMRI changes. However, resting-state networks have received les...
Leucine-Rich Repeat Serine-Threonine Protein Kinase-2 Middle Aged Magnetic Resonance Imaging Parkinson Disease Connectome Machine Learning Nerve Net Female Heterozygote Adult Humans Cerebrum Male
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A small-world topology enhances the echo state property and signal propagation in reservoir computing.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2019
Cortical neural connectivity has been shown to exhibit a small-world (SW) network topology. However, the role of the topology in neural information processing remains unclear. In this study, we investigated the learning performance of an echo state n...
Humans Neural Networks, Computer Brain Nonlinear Dynamics Connectome Memory
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A Single Session of Robot-Controlled Proprioceptive Training Modulates Functional Connectivity of Sensory Motor Networks and Improves Reaching Accuracy in Chronic Stroke.

Neurorehabilitation and neural repair Dec 29, 2018
BACKGROUND: Passive robot-generated arm movements in conjunction with proprioceptive decision making and feedback modulate functional connectivity (FC) in sensory motor networks and improve sensorimotor adaptation in normal individuals. This proof-of...
Sensorimotor Cortex Humans Motor Activity Stroke Rehabilitation Female Proprioception Chronic Disease Middle Aged Aged Feedback, Sensory Robotics Treatment Outcome Male Proof of Concept Study Stroke Magnetic Resonance Imaging Connectome Brain Ischemia Nerve Net
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Task activations produce spurious but systematic inflation of task functional connectivity estimates.

NeuroImage Dec 28, 2018
Most neuroscientific studies have focused on task-evoked activations (activity amplitudes at specific brain locations), providing limited insight into the functional relationships between separate brain locations. Task-state functional connectivity (...
Magnetic Resonance Imaging Humans Connectome Neural Networks, Computer Mental Processes Brain Functional Neuroimaging Models, Theoretical
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MR Image Reconstruction Using Deep Density Priors.

IEEE transactions on medical imaging Dec 17, 2018
Algorithms for magnetic resonance (MR) image reconstruction from undersampled measurements exploit prior information to compensate for missing k-space data. Deep learning (DL) provides a powerful framework for extracting such information from existin...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Connectome
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Prediction error connectivity: A new method for EEG state analysis.

NeuroImage Dec 1, 2018
Several models have been proposed to explain brain regional and interregional communication, the majority of them using methods that tap the frequency domain, like spectral coherence. Considering brain interareal communication as binary interactions,...
Signal Processing, Computer-Assisted Cerebral Cortex Support Vector Machine Connectome Models, Neurological Sleep Stages Electroencephalography Humans Epilepsy Adult Male
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Identifying Brain Networks at Multiple Time Scales via Deep Recurrent Neural Network.

IEEE journal of biomedical and health informatics Nov 22, 2018
For decades, task functional magnetic resonance imaging has been a powerful noninvasive tool to explore the organizational architecture of human brain function. Researchers have developed a variety of brain network analysis methods for task fMRI data...
Connectome Nerve Net Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer Signal Processing, Computer-Assisted Brain Task Performance and Analysis
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