Results 1 to 10 of about 10,073,117 (279)
Resting-state functional connectivity alterations after mild COVID-19 infection [PDF]
BMC Infectious DiseasesThe long-term effects of coronavirus disease 2019 (COVID-19) are more pronounced after severe infection, although years after the pandemic was declared, long-term neurological complications after mild infection have begun to unfold.
Anna Szente +12 more
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MICROSTATELAB: The EEGLAB Toolbox for Resting-State Microstate Analysis
Brain Topography, 2023 Microstate analysis is a multivariate method that enables investigations of the temporal dynamics of large-scale neural networks in EEG recordings of human brain activity.
Sahana Nagabhushan Kalburgi +5 more
semanticscholar +1 more source
Psychophysiology, 2022 The literature on large‐scale resting‐state functional brain networks across the adult lifespan was systematically reviewed. Studies published between 1986 and July 2021 were retrieved from PubMed. After reviewing 2938 records, 144 studies were included.
H. Deery +4 more
semanticscholar +1 more source
NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis
Neurophotonics, 2021 . Significance: Functional near-infrared spectroscopy (fNIRS) has been widely used to probe human brain function during task state and resting state. However, the existing analysis toolboxes mainly focus on task activation analysis, few software packages
Xin Hou +6 more
semanticscholar +1 more source
A multi-site, multi-disorder resting-state magnetic resonance image database
Scientific Data, 2021 Machine learning classifiers for psychiatric disorders using resting-state functional magnetic resonance imaging (rs-fMRI) have recently attracted attention as a method for directly examining relationships between neural circuits and psychiatric ...
Saori C. Tanaka +29 more
semanticscholar +1 more source
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020 The Blood-Oxygen-Level-Dependent (BOLD) signal of resting-state fMRI (rs-fMRI) records the temporal dynamics of intrinsic functional networks in the brain.
S. Gadgil +5 more
semanticscholar +1 more source
Clustering of resting state networks. [PDF]
PLoS ONE, 2012 The goal of the study was to demonstrate a hierarchical structure of resting state activity in the healthy brain using a data-driven clustering algorithm.The fuzzy-c-means clustering algorithm was applied to resting state fMRI data in cortical and ...
Megan H Lee +6 more
doaj +1 more source
Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder
Frontiers in Psychiatry, 2021 Schizophrenia (SCH) and bipolar disorder (BD) are characterized by many types of symptoms, damaged cognitive function, and abnormal brain connections. The microstates are considered to be the cornerstones of the mental states shown in EEG data.
Fanglan Wang +2 more
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A review of resting-state fMRI and its use to examine psychiatric disorders
Psychoradiology, 2021 Resting-state fMRI (rs-fMRI) has emerged as an alternative method to study brain function in human and animal models. In humans, it has been widely used to study psychiatric disorders including schizophrenia, bipolar disorder, autism spectrum disorders ...
Edgar Canario +2 more
semanticscholar +1 more source
medRxiv, 2022 Localization of epileptogenic zone currently requires prolonged intracranial recordings to capture seizure, which may take days to weeks. The authors developed a novel method to identify the seizure onset zone (SOZ) and predict seizure outcome using ...
H. Jiang +6 more
semanticscholar +1 more source