Article

Resting state functional connectivity in relapsing remitting multiple sclerosis with mild disability – a data driven, whole brain multi-voxel pattern analysis study

2021-11-23

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Multivoxel pattern analysis (MVPA) has emerged as a powerful unbiased approach for generating seed regions of interest (ROIs) in resting-state functional connectivity (RSFC) analysis in a data-driven manner. Studies exploring RSFC in multiple sclerosis have produced diverse and often incongruent results. <h4>Objectives</h4> The aim of the present study was to investigate RS...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ca017369-5038-538f-90d2-0b96600b4837
DOI: 10.1101/2021.11.23.469578

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Resting state functional connectivity in relapsing remitting multiple sclerosis with mild disability – a data driven, whole brain multi-voxel pattern analysis studyDOI 10.1101/2021.11.23.469578Read

Dynamic Functional Connectivity in the Main Clinical Phenotypes of Multiple Sclerosis.Semantic proximity Read

Functional connectivity changes within specific networks parallel the clinical evolution of multiple sclerosis.Semantic proximity Read

A systematic review of resting state functional MRI connectivity changes and cognitive impairment in multiple sclerosisSemantic proximity Read

Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groupsSemantic proximity Read

Morphological MRI phenotypes of multiple sclerosis differ in resting-state brain function.Semantic proximity Read

Atlasing white matter and grey matter joint contributions to resting-state networks in the human brainSemantic proximity Read

Evidence for white matter intrinsic connectivity networks at rest and during a task: a large-scale study and templatesSemantic proximity Read

The sequence of structural, functional and cognitive changes in multiple sclerosisSemantic proximity Read

Discovering functional connectivity features characterizing multiple sclerosis phenotypes using explainable artificial intelligence.Semantic proximity Read

Predicting cognition using estimated structural and functional connectivity networks and artificial intelligence in multiple sclerosisSemantic proximity Read

Employing connectome-based models to predict working memory in multiple sclerosisSemantic proximity Read

Multiresolution functional brain parcellation in an elderly population with no or mild cognitive impairmentSemantic proximity Read