Longitudinal Study of Cognitive Phenotypes in Patients with Relapsing–Remitting Multiple Sclerosis

This study corroborates the importance of knowing the evolution of cognitive performance over time to better determine the best cognitive intervention programs in order to prevent cognitive decline and promote quality of life.

Authors

Institutions

Publication Details

Journal
Archives of Clinical Neuropsychology
Published
2025-02-18
DOI
https://doi.org/10.1093/arclin/acaf004
Citations
1
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
1.47
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Longitudinal Study of Cognitive Phenotypes in Patients with Relapsing–Remitting Multiple Sclerosis

Teresa Jacques, María José Sá, Rui A. Alves, Márcia França et al.
1 citations
Archives of Clinical Neuropsychology
Multiple Sclerosis Research Studies
1.47
article

Longitudinal Study of Cognitive Phenotypes in Patients with Relapsing–Remitting Multiple Sclerosis

Teresa Jacques, María José Sá, Rui A. Alves, Márcia França, Cláudia Sousa
article en
1 citations

Abstract

This study corroborates the importance of knowing the evolution of cognitive performance over time to better determine the best cognitive intervention programs in order to prevent cognitive decline and promote quality of life.

Archives of Clinical NeuropsychologyVol. 40(5)
Fernando Pessoa University (PT), Universidade do Porto (PT), Hospital de São João (PT)
Quality Education
Openalex Percentile: Top 23%
Multiple Sclerosis Research Studies
1.47
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.