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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 …
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 …
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 …
Complex brain network analysis and its applications to brain disorders: a survey
It is well known that most brain disorders are complex diseases, such as Alzheimer's
disease (AD) and schizophrenia (SCZ). In general, brain regions and their interactions can …
disease (AD) and schizophrenia (SCZ). In general, brain regions and their interactions can …
[HTML][HTML] The network collapse in multiple sclerosis: An overview of novel concepts to address disease dynamics
Multiple sclerosis is a neuroinflammatory and neurodegenerative disorder of the central
nervous system that can be considered a network disorder. In MS, lesional pathology …
nervous system that can be considered a network disorder. In MS, lesional pathology …
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 …
Intelligence is associated with the modular structure of intrinsic brain networks
General intelligence is a psychological construct that captures in a single metric the overall
level of behavioural and cognitive performance in an individual. While previous research …
level of behavioural and cognitive performance in an individual. While previous research …
[HTML][HTML] Task-and resting-state fMRI studies in multiple sclerosis: From regions to systems and time-varying analysis. Current status and future perspective
Multiple sclerosis (MS) is a neurological disorder affecting the central nervous system and
features extensive functional brain changes that are poorly understood but relate strongly to …
features extensive functional brain changes that are poorly understood but relate strongly to …
[HTML][HTML] Automated segmentation of changes in FLAIR-hyperintense white matter lesions in multiple sclerosis on serial magnetic resonance imaging
P Schmidt, V Pongratz, P Küster, D Meier, J Wuerfel… - NeuroImage: Clinical, 2019 - Elsevier
Longitudinal analysis of white matter lesion changes on serial MRI has become an important
parameter to study diseases with white-matter lesions. Here, we build on earlier work on …
parameter to study diseases with white-matter lesions. Here, we build on earlier work on …
Functional network connectivity abnormalities in multiple sclerosis: Correlations with disability and cognitive impairment
Objective: To investigate resting state (RS) functional connectivity (FC) abnormalities within
the principal brain networks in a large cohort of multiple sclerosis (MS) patients, to define the …
the principal brain networks in a large cohort of multiple sclerosis (MS) patients, to define the …