[HTML][HTML] Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review
Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
[HTML][HTML] A Hitchhiker's guide to functional magnetic resonance imaging
JM Soares, R Magalhães, PS Moreira… - Frontiers in …, 2016 - frontiersin.org
Functional Magnetic Resonance Imaging (fMRI) studies have become increasingly popular
both with clinicians and researchers as they are capable of providing unique insights into …
both with clinicians and researchers as they are capable of providing unique insights into …
[HTML][HTML] GRETNA: a graph theoretical network analysis toolbox for imaging connectomics
Recent studies have suggested that the brain's structural and functional networks (ie,
connectomics) can be constructed by various imaging technologies (eg, EEG/MEG; …
connectomics) can be constructed by various imaging technologies (eg, EEG/MEG; …
Default mode dynamics for global functional integration
D Vatansever, DK Menon, AE Manktelow… - Journal of …, 2015 - Soc Neuroscience
The default mode network (DMN) has been traditionally assumed to hinder behavioral
performance in externally focused, goal-directed paradigms and to provide no active …
performance in externally focused, goal-directed paradigms and to provide no active …
BRAPH: a graph theory software for the analysis of brain connectivity
The brain is a large-scale complex network whose workings rely on the interaction between
its various regions. In the past few years, the organization of the human brain network has …
its various regions. In the past few years, the organization of the human brain network has …
Predicting conversion from MCI to AD using resting-state fMRI, graph theoretical approach and SVM
Background We investigated identifying patients with mild cognitive impairment (MCI) who
progress to Alzheimer's disease (AD), MCI converter (MCI-C), from those with MCI who do …
progress to Alzheimer's disease (AD), MCI converter (MCI-C), from those with MCI who do …
Fitness, but not physical activity, is related to functional integrity of brain networks associated with aging
Greater physical activity and cardiorespiratory fitness are associated with reduced age-
related cognitive decline and lower risk for dementia. However, significant gaps remain in …
related cognitive decline and lower risk for dementia. However, significant gaps remain in …
Microglial activation and connectivity in Alzheimer disease and aging
Objective Alzheimer disease (AD) is characterized by amyloid β (Aβ) plaques and
neurofibrillary tau tangles, but increasing evidence suggests that neuroinflammation also …
neurofibrillary tau tangles, but increasing evidence suggests that neuroinflammation also …
Deep brain stimulation induced normalization of the human functional connectome in Parkinson's disease
Neuroimaging has seen a paradigm shift away from a formal description of local activity
patterns towards studying distributed brain networks. The recently defined framework of the …
patterns towards studying distributed brain networks. The recently defined framework of the …
Predicting conversion from MCI to AD by integrating rs-fMRI and structural MRI
Structural MRI (sMRI) and resting-state functional MRI (rs-fMRI) have provided promising
results in the diagnosis of Alzheimer's disease (AD), though the utility of integrating sMRI …
results in the diagnosis of Alzheimer's disease (AD), though the utility of integrating sMRI …