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 …

Cognition in multiple sclerosis: State of the field and priorities for the future

JF Sumowski, R Benedict, C Enzinger, M Filippi… - Neurology, 2018‏ - neurology.org
Cognitive decline is recognized as a prevalent and debilitating symptom of multiple sclerosis
(MS), especially deficits in episodic memory and processing speed. The field aims to (1) …

Predicting cognitive decline in multiple sclerosis: a 5-year follow-up study

AJC Eijlers, Q van Geest, I Dekker, MD Steenwijk… - Brain, 2018‏ - academic.oup.com
Cognitive decline is common in multiple sclerosis and strongly affects overall quality of life.
Despite the identification of cross-sectional MRI correlates of cognitive impairment …

Assessment and impact of cognitive impairment in multiple sclerosis: an overview

MÁ Macías Islas, E Ciampi - Biomedicines, 2019‏ - mdpi.com
Cognitive impairment affects 40–60% of patients with multiple sclerosis. It may be present
early in the course of the disease and has an impact on a patient's employability, social …

[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 …

Mind the gap: from neurons to networks to outcomes in multiple sclerosis

DT Chard, AAS Alahmadi, B Audoin… - Nature Reviews …, 2021‏ - nature.com
MRI studies have provided valuable insights into the structure and function of neural
networks, particularly in health and in classical neurodegenerative conditions such as …

[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 …

Higher‐order functional connectivity analysis of resting‐state functional magnetic resonance imaging data using multivariate cumulants

R Hindriks, TAA Broeders… - Human brain …, 2024‏ - Wiley Online Library
Blood‐level oxygenation‐dependent (BOLD) functional magnetic resonance imaging (fMRI)
is the most common modality to study functional connectivity in the human brain. Most …

Functional connectivity in multiple sclerosis: recent findings and future directions

M Tahedl, SM Levine, MW Greenlee, R Weissert… - Frontiers in …, 2018‏ - frontiersin.org
Multiple sclerosis is a debilitating disorder resulting from scattered lesions in the central
nervous system. Because of the high variability of the lesion patterns between patients, it is …