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A resting-state EEG dataset for sleep deprivation
To investigate the impact of sleep deprivation (SD) on mood, alertness, and resting-state electroencephalogram (EEG), we present an eyes-open...
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Predicting creative behavior using resting-state electroencephalography
Neuroscience research has shown that specific brain patterns can relate to creativity during multiple tasks but also at rest. Nevertheless, the...
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Resting State Functional Magnetic Resonance Imaging
The brain has a complex network organization that has been examined for generations. As science advances its understanding of neural networks,...
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Analysis of Resting-State fMRI Data by CAPA Method
The paper describes application of the co-activation patterns analysis (CAPA) method for analyzing resting-state fMRI data obtained in order to...
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Opposing brain signatures of sleep in task-based and resting-state conditions
Sleep and depression have a complex, bidirectional relationship, with sleep-associated alterations in brain dynamics and structure impacting a range...
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A state-of-the-art review on deep learning for estimating eloquent cortex from resting-state fMRI
Deep learning algorithms have greatly improved our ability to estimate eloquent cortex regions from resting-state brain scans for patients about to...
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Presurgical Resting-State fMRI
Purpose: Task functional MRI (fMRI) has traditionally been used to locate eloquent regions of the brain that are relevant to specific cognitive...
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Deep-learning-enabled brain hemodynamic map** using resting-state fMRI
Cerebrovascular disease is a leading cause of death globally. Prevention and early intervention are known to be the most effective forms of its...
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Power spectral density-based resting-state EEG classification of first-episode psychosis
Historically, the analysis of stimulus-dependent time–frequency patterns has been the cornerstone of most electroencephalography (EEG) studies. The...
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Resting-state EEG power differences in autism spectrum disorder: a systematic review and meta-analysis
Narrative reviews have described various resting-state EEG power differences in autism across all five canonical frequency bands, with increased...
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Resting state default mode network is associated with wise advising
Default mode network (DMN) may be associated with wisdom (i.e., mature understanding of life featured by perspectival metacognition) when advising...
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Disentanglement of Resting State Brain Networks for Localizing Epileptogenic Zone in Focal Epilepsy
The objective of this study is to extract pathological brain networks from interictal period of E/MEG recordings to localize epileptic foci for...
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Macroscopic resting-state brain dynamics are best described by linear models
It is typically assumed that large networks of neurons exhibit a large repertoire of nonlinear behaviours. Here we challenge this assumption by...
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MICROSTATELAB: The EEGLAB Toolbox for Resting-State Microstate Analysis
Microstate analysis is a multivariate method that enables investigations of the temporal dynamics of large-scale neural networks in EEG recordings of...
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Commonality and variance of resting-state networks in common marmoset brains
Animal models of brain function are critical for the study of human diseases and development of effective interventions. Resting-state network (RSN)...
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Aberrant associations between neuronal resting-state fluctuations and working memory-induced activity in major depressive disorder
Previous investigations have revealed performance deficits and altered neural processes during working-memory (WM) tasks in major depressive disorder...
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The correlation between upper body grip strength and resting-state EEG network
Current research in the field of neuroscience primarily focuses on the analysis of electroencephalogram (EEG) activities associated with movement...
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Predicting neurologic recovery after severe acute brain injury using resting-state networks
ObjectiveThere is a lack of reliable tools used to predict functional recovery in unresponsive patients following a severe brain injury. The...
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Resting-state global brain activity affects early β-amyloid accumulation in default mode network
It remains unclear why β-amyloid (Aβ) plaque, a hallmark pathology of Alzheimer’s disease (AD), first accumulates cortically in the default mode...
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Resting-state networks and their relationship with MoCA performance in PD patients
Although mild cognitive impairment is a common non-motor symptom experienced by individuals with Parkinson’s Disease, the changes in intrinsic...
