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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 …
A Hitchhiker's guide to functional magnetic resonance imaging
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 …
Distinguishing between fatigue and fatigability in multiple sclerosis
Fatigue is one of the most common debilitating symptoms reported by persons with multiple
sclerosis (MS). It reflects feelings of tiredness, lack of energy, low motivation, and difficulty in …
sclerosis (MS). It reflects feelings of tiredness, lack of energy, low motivation, and difficulty in …
Recording brain activities in unshielded Earth's field with optically pumped atomic magnetometers
Understanding the relationship between brain activity and specific mental function is
important for medical diagnosis of brain symptoms, such as epilepsy …
important for medical diagnosis of brain symptoms, such as epilepsy …
Direction of information flow in large-scale resting-state networks is frequency-dependent
Normal brain function requires interactions between spatially separated, and functionally
specialized, macroscopic regions, yet the directionality of these interactions in large-scale …
specialized, macroscopic regions, yet the directionality of these interactions in large-scale …
Injured brains and adaptive networks: the benefits and costs of hyperconnectivity
A common finding in human functional brain-imaging studies is that damage to neural
systems paradoxically results in enhanced functional connectivity between network regions …
systems paradoxically results in enhanced functional connectivity between network regions …
The minimum spanning tree: an unbiased method for brain network analysis
The brain is increasingly studied with graph theoretical approaches, which can be used to
characterize network topology. However, studies on brain networks have reported …
characterize network topology. However, studies on brain networks have reported …
Network collapse and cognitive impairment in multiple sclerosis
The current field of multiple sclerosis (MS) research is an active and highly interesting one:
structural abnormalities such as inflammatory lesions and brain atrophy are studied with a …
structural abnormalities such as inflammatory lesions and brain atrophy are studied with a …
Graph theoretical framework of brain networks in multiple sclerosis: a review of concepts
Network science provides powerful access to essential organizational principles of the
human brain. It has been applied in combination with graph theory to characterize brain …
human brain. It has been applied in combination with graph theory to characterize brain …
Time-frequency based phase-amplitude coupling measure for neuronal oscillations
Oscillatory activity in the brain has been associated with a wide variety of cognitive
processes including decision making, feedback processing, and working memory. The high …
processes including decision making, feedback processing, and working memory. The high …