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Mutual information of multiple rhythms in schizophrenia
Interactions between different cortical rhythms, such as slow and fast oscillations, have been hypothesized to underlie many cognitive functions. In...
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A Measure of Concurrent Neural Firing Activity Based on Mutual Information
Multiple methods have been developed in an attempt to quantify stimulus-induced neural coordination and to understand internal coordination of...
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Data augmentation for depression detection using skeleton-based gait information
AbstractIn recent years, the incidence of depression is rising rapidly worldwide, but large-scale depression screening is still challenging. Gait...
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Low-precision feature selection on microarray data: an information theoretic approach
The number of interconnected devices, such as personal wearables, cars, and smart-homes, surrounding us every day has recently increased. The...
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Fifty years of Shannon information theory in assessing the accuracy and agreement of diagnostic tests
Since 1948, Shannon theoretic methods for modeling information have found a wide range of applications in several areas where information plays a key...
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Neural coding of autonomic functions in different states of consciousness
Detecting signs of residual neural activity in patients with altered states of consciousness is a crucial issue for the customization of...
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Coefficient-of-variation-based channel selection with a new testing framework for MI-based BCI
In the motor-imagery (MI) based brain computer interface (BCI), multi-channel electroencephalogram (EEG) is often used to ensure the complete capture...
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Multimodal medical image fusion algorithm based on pulse coupled neural networks and nonsubsampled contourlet transform
AbstractCombining two medical images from different modalities is more helpful for using the resulting image in the healthcare field. Medical image...
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A New Deep Neural Network Inspired by Directional Mutual Information Between Slow and Fast Neural Information Flow
Artificial neural networks are initially inspired by neuronal structures and connections, given that the neural connection is changed during a...
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Frontal–temporal functional connectivity of EEG signal by standardized permutation mutual information during anesthesia
Quantifying brain dynamics during anesthesia is an important challenge for understanding the neurophysiological mechanisms of anesthetic drug effect....
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Weighted ordinal connection based functional network classification for schizophrenia disease detection using EEG signal
A brain connectivity network (BCN) is an advanced approach to examining brain functionality in various conditions. However, the predictability of the...
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Multi-institutional prognostic modeling of survival outcomes in NSCLC patients treated with first-line immunotherapy using radiomics
BackgroundImmune checkpoint inhibitors (ICIs) have emerged as one of the most promising first-line therapeutics in the management of non-small cell...
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Lupus nephritis or not? A simple and clinically friendly machine learning pipeline to help diagnosis of lupus nephritis
ObjectiveDiagnosis of lupus nephritis (LN) is a complex process, which usually requires renal biopsy. We aim to establish a machine learning pipeline...
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Complexity decline of hippocampal CA1 circuit model due to cholinergic deficiency associated with Alzheimer’s disease
A hallmark of Alzheimer’s disease (AD) is cholinergic system dysfunction, directly affecting the hippocampal neurons. Previous experiments have...
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Identifying bidirectional total and non-linear information flow in functional corticomuscular coupling during a dorsiflexion task: a pilot study
BackgroundThe key challenge to constructing functional corticomuscular coupling (FCMC) is to accurately identify the direction and strength of the...
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Reproducible Inter-Personal Brain Coupling Measurements in Hyperscanning Settings With functional Near Infra-Red Spectroscopy
Despite a huge advancement in neuroimaging techniques and growing importance of inter-personal brain research, few studies assess the most...
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SleepBoost: a multi-level tree-based ensemble model for automatic sleep stage classification
Neurodegenerative diseases often exhibit a strong link with sleep disruption, highlighting the importance of effective sleep stage monitoring. In...
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MRI image synthesis for fluid-attenuated inversion recovery and diffusion-weighted images with deep learning
This study aims to synthesize fluid-attenuated inversion recovery (FLAIR) and diffusion-weighted images (DWI) with a deep conditional adversarial...
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Multiclass motor imagery classification with Riemannian geometry and temporal-spectral selection
Motor imagery (MI) based brain-computer interfaces (BCIs) decode the users’ intentions from electroencephalography (EEG) to achieve information...
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Pulse-frequency-dependent resonance in a population of pyramidal neuron models
Stochastic resonance is known as a phenomenon whereby information transmission of weak signal or subthreshold stimuli can be enhanced by additive...
