AIMC Topic: Rest

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Disrupted functional connectivity within the default mode network and salience network in unmedicated bipolar II disorder.

Progress in neuro-psychopharmacology & biological psychiatry Jun 26, 2018
BACKGROUND: Recent studies demonstrate that functional disruption in resting-state networks contributes to cognitive and affective symptoms of bipolar disorder (BD), however, the functional connectivity (FC) pattern underlying BD II depression within...
Female Young Adult Adult Male Psychiatric Status Rating Scales Humans Neural Networks, Computer Oxygen Rest Neural Pathways Functional Laterality Statistics, Nonparametric Adolescent Bipolar Disorder Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping
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The characteristic patterns of neuronal avalanches in mice under anesthesia and at rest: An investigation using constrained artificial neural networks.

PloS one May 24, 2018
Local perturbations within complex dynamical systems can trigger cascade-like events that spread across significant portions of the system. Cascades of this type have been observed across a broad range of scales in the brain. Studies of these cascade...
Neural Networks, Computer Animals Mice Models, Neurological Cerebral Cortex Microelectrodes Action Potentials Neurons Wakefulness Anesthesia Rest
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Patterns of thought: Population variation in the associations between large-scale network organisation and self-reported experiences at rest.

NeuroImage May 4, 2018
Contemporary cognitive neuroscience recognises unconstrained processing varies across individuals, describing variation in meaningful attributes, such as intelligence. It may also have links to patterns of on-going experience. This study examined whe...
Nerve Net Thinking Limbic System Young Adult Adult Male Middle Aged Adolescent Magnetic Resonance Imaging Attention Rest Cerebral Cortex Connectome Humans Machine Learning Female
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High-accuracy automatic classification of Parkinsonian tremor severity using machine learning method.

Physiological measurement Oct 31, 2017
MOTIVATION: Although clinical aspirations for new technology to accurately measure and diagnose Parkinsonian tremors exist, automatic scoring of tremor severity using machine learning approaches has not yet been employed.
Female Aged Male Wearable Electronic Devices Posture Humans Machine Learning Tremor Parkinson Disease Signal Processing, Computer-Assisted Acceleration Automation Rest
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Decoding of Human Movements Based on Deep Brain Local Field Potentials Using Ensemble Neural Networks.

Computational intelligence and neuroscience Oct 19, 2017
Decoding neural activities related to voluntary and involuntary movements is fundamental to understanding human brain motor circuits and neuromotor disorders and can lead to the development of neuromotor prosthetic devices for neurorehabilitation. Th...
Parkinson Disease Signal Processing, Computer-Assisted Deep Brain Stimulation Cues Rest Fingers Neuropsychological Tests Motor Activity Visual Perception Dystonia Aged Young Adult Adult Male Middle Aged Humans Neural Networks, Computer Brain Female
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A brain-computer interface based on functional transcranial doppler ultrasound using wavelet transform and support vector machines.

Journal of neuroscience methods Oct 7, 2017
BACKGROUND: Functional transcranial Doppler (fTCD) is an ultrasound based neuroimaging technique used to assess neural activation that occurs during a cognitive task through measuring velocity of cerebral blood flow.
Space Perception Imagination Ultrasonography, Doppler, Transcranial Support Vector Machine Feasibility Studies Rotation Linear Models Rest Brain-Computer Interfaces Wavelet Analysis Blood Flow Velocity Neuropsychological Tests Cerebrovascular Circulation Female Young Adult Male Functional Neuroimaging Cognition Humans Brain Language
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Identification of autism spectrum disorder using deep learning and the ABIDE dataset.

NeuroImage. Clinical Aug 30, 2017
The goal of the present study was to apply deep learning algorithms to identify autism spectrum disorder (ASD) patients from large brain imaging dataset, based solely on the patients brain activation patterns. We investigated ASD patients brain imagi...
Machine Learning Autism Spectrum Disorder Brain Female Young Adult Adult Male Case-Control Studies Functional Neuroimaging Adolescent Humans Neural Networks, Computer Neural Pathways Child Image Processing, Computer-Assisted Brain Mapping Datasets as Topic Rest
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Predicting clinical symptoms of attention deficit hyperactivity disorder based on temporal patterns between and within intrinsic connectivity networks.

Neuroscience Aug 24, 2017
Attention deficit hyperactivity disorder (ADHD) is a common brain disorder with high prevalence in school-age children. Previously developed machine learning-based methods have discriminated patients with ADHD from normal controls by providing label ...
Impulsive Behavior Male Cohort Studies Time Factors Child Magnetic Resonance Imaging Brain Mapping Attention Rest Neural Pathways Attention Deficit Disorder with Hyperactivity Humans Machine Learning Brain Prognosis
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Abnormal regional homogeneity as a potential imaging biomarker for adolescent-onset schizophrenia: A resting-state fMRI study and support vector machine analysis.

Schizophrenia research Jun 3, 2017
OBJECTIVE: Structural and functional abnormalities have been reported in the brain of patients with adolescent-onset schizophrenia (AOS). The brain regional functional synchronization in patients with AOS remains unclear.
Schizophrenia Rest Neural Pathways Adolescent ROC Curve Support Vector Machine Magnetic Resonance Imaging Brain Mapping Humans Brain Female Male Case-Control Studies
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Using short-range and long-range functional connectivity to identify schizophrenia with a family-based case-control design.

Psychiatry research. Neuroimaging Apr 24, 2017
Abnormal short-range and long-range functional connectivities (FCs) have been implicated in the neurophysiology of schizophrenia. This study was conducted to examine the potential of short-range and long-range FCs for differentiating the patients fro...
Support Vector Machine Magnetic Resonance Imaging Schizophrenia Cerebellum Rest Humans Female Young Adult Adult Case-Control Studies Family Siblings Schizophrenic Psychology Parietal Lobe Temporal Lobe
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