Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review

FV Farahani, W Karwowski, NR Lighthall - frontiers in Neuroscience, 2019 - frontiersin.org
Background: Analysis of the human connectome using functional magnetic resonance
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

FG Hillary, JH Grafman - Trends in cognitive sciences, 2017 - cell.com
A common finding in human functional brain-imaging studies is that damage to neural
systems paradoxically results in enhanced functional connectivity between network regions …

Network collapse and cognitive impairment in multiple sclerosis

MM Schoonheim, KA Meijer, JJG Geurts - Frontiers in neurology, 2015 - frontiersin.org
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 …

Complex brain network analysis and its applications to brain disorders: a survey

J Liu, M Li, Y Pan, W Lan, R Zheng, FX Wu… - …, 2017 - Wiley Online Library
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 …

[HTML][HTML] The network collapse in multiple sclerosis: An overview of novel concepts to address disease dynamics

MM Schoonheim, TAA Broeders, JJG Geurts - NeuroImage: Clinical, 2022 - Elsevier
Multiple sclerosis is a neuroinflammatory and neurodegenerative disorder of the central
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

V Fleischer, A Radetz, D Ciolac, M Muthuraman… - Neuroscience, 2019 - Elsevier
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 …

Intelligence is associated with the modular structure of intrinsic brain networks

K Hilger, M Ekman, CJ Fiebach, U Basten - Scientific reports, 2017 - nature.com
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 …

[HTML][HTML] Task-and resting-state fMRI studies in multiple sclerosis: From regions to systems and time-varying analysis. Current status and future perspective

MA Rocca, MM Schoonheim, P Valsasina… - Neuroimage: Clinical, 2022 - Elsevier
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 …

[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 …

Functional network connectivity abnormalities in multiple sclerosis: Correlations with disability and cognitive impairment

MA Rocca, P Valsasina, VM Leavitt… - Multiple Sclerosis …, 2018 - journals.sagepub.com
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 …