Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Working memory network dysfunction in relapse-onset multiple sclerosis phenotypes: A clinical-imaging evaluation.

Multiple sclerosis (Houndmills, Basingstoke, England) - 1 Apr 2017

Vacchi Laura, Rocca Maria A, Meani Alessandro, Rodegher Mariaemma, Martinelli Vittorio, Comi Giancarlo, Falini Andrea, Filippi Massimo

Abstract excerpt

OBJECTIVES: We investigated clinical, behavioural and functional magnetic resonance imaging (fMRI) correlates of working memory load in relapse-onset multiple sclerosis (MS) patients. METHODS: In total, 12 clinically isolated syndromes (CIS) patients at risk of MS, 38 relapsing-remitting multiple sclerosis (RRMS), 22 secondary progressive multiple sclerosis (SPMS) and 24 healthy controls (HC) performed an N-back...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Brain
Share to Brain Mapping

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cerebellum

Share to Magnetic Resonance Imaging

Share to Memory, Short-Term

Share to Multiple Sclerosis, Relapsing-Remitting

Share to Nerve Net

Share to Young Adult

Source

Identifiers

PMID: 27354020
DOI: 10.1177/1352458516656809

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Working memory network dysfunction in relapse-onset multiple sclerosis phenotypes: A clinical-imaging evaluation.PMID 27354020Read ↗

Working memory dysfunction differs between secondary progressive and relapsing multiple sclerosis: Effects of clinical phenotype, age, disease duration, and disability.Semantic proximity Read ↗

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

Mapping face encoding using functional MRI in multiple sclerosis across disease phenotypes.Semantic proximity Read ↗

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

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

Abnormalities of the executive control network in multiple sclerosis phenotypes: An fMRI effective connectivity study.Semantic proximity Read ↗

Two Year Progression of Working Memory Impairments In Early Relapsing-Remitting Multiple Sclerosis: Appraisal of Working Memory Profiles And Measurement SensitivitySemantic proximity Read ↗

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

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

The Role of Network Connectivity and Transcriptomic Vulnerability in Shaping Grey Matter Atrophy in Multiple SclerosisSemantic proximity Read ↗

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

Interthalamic adhesion alterations in multiple sclerosis: associations with thalamic damage and cognitionSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.