Linking Personality Traits to Disability Progression in Multiple Sclerosis: A Longitudinal Analysis

These findings underscore the importance of considering personality dynamics in the management of MS and advocate for a more individualized, person-centered approach to care and research.

Authors

Institutions

Publication Details

Journal
Archives of Clinical Neuropsychology
Published
2025-06-18
DOI
https://doi.org/10.1093/arclin/acaf063
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Linking Personality Traits to Disability Progression in Multiple Sclerosis: A Longitudinal Analysis

Patrice H. Lalive, Isabele Jacot de Alcântara, Philippe Voruz, Julie Péron et al.
Archives of Clinical Neuropsychology
Multiple Sclerosis Research Studies
article

Linking Personality Traits to Disability Progression in Multiple Sclerosis: A Longitudinal Analysis

Patrice H. Lalive, Isabele Jacot de Alcântara, Philippe Voruz, Julie Péron, Gilles Allali
article en

Abstract

These findings underscore the importance of considering personality dynamics in the management of MS and advocate for a more individualized, person-centered approach to care and research.

Archives of Clinical NeuropsychologyVol. 40(8)
University of Geneva (CH), University Hospital of Geneva (CH), Geneva College (US), University of Lausanne (CH)
Multiple Sclerosis Society, Schweizerische Multiple Sklerose Gesellschaft
Openalex Percentile: Top 74%
Multiple Sclerosis Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.