Cargando…
Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis
Cognitive impairment is a common symptom in individuals with Multiple Sclerosis (MS), but meaningful, reliable biomarkers relating to cognitive decline have been elusive, making evaluation of the impact of therapeutics on cognitive function difficult. Here, we combine pathway-based MRI measures of s...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186801/ https://www.ncbi.nlm.nih.gov/pubmed/34101741 http://dx.doi.org/10.1371/journal.pone.0251338 |
_version_ | 1783705019606892544 |
---|---|
author | Koenig, Katherine A. Beall, Erik B. Sakaie, Ken E. Ontaneda, Daniel Stone, Lael Rao, Stephen M. Nakamura, Kunio Jones, Stephen E. Lowe, Mark J. |
author_facet | Koenig, Katherine A. Beall, Erik B. Sakaie, Ken E. Ontaneda, Daniel Stone, Lael Rao, Stephen M. Nakamura, Kunio Jones, Stephen E. Lowe, Mark J. |
author_sort | Koenig, Katherine A. |
collection | PubMed |
description | Cognitive impairment is a common symptom in individuals with Multiple Sclerosis (MS), but meaningful, reliable biomarkers relating to cognitive decline have been elusive, making evaluation of the impact of therapeutics on cognitive function difficult. Here, we combine pathway-based MRI measures of structural and functional connectivity to construct a metric of functional decline in MS. The Structural and Functional Connectivity Index (SFCI) is proposed as a simple, z-scored metric of structural and functional connectivity, where changes in the metric have a simple statistical interpretation and may be suitable for use in clinical trials. Using data collected at six time points from a 2-year longitudinal study of 20 participants with MS and 9 age- and sex-matched healthy controls, we probe two common symptomatic domains, motor and cognitive function, by measuring structural and functional connectivity in the transcallosal motor pathway and posterior cingulum bundle. The SFCI is significantly lower in participants with MS compared to controls (p = 0.009) and shows a significant decrease over time in MS (p = 0.012). The change in SFCI over two years performed favorably compared to measures of brain parenchymal fraction and lesion volume, relating to follow-up measures of processing speed (r = 0.60, p = 0.005), verbal fluency (r = 0.57, p = 0.009), and score on the Multiple Sclerosis Functional Composite (r = 0.67, p = 0.003). These initial results show that the SFCI is a suitable metric for longitudinal evaluation of functional decline in MS. |
format | Online Article Text |
id | pubmed-8186801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-81868012021-06-16 Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis Koenig, Katherine A. Beall, Erik B. Sakaie, Ken E. Ontaneda, Daniel Stone, Lael Rao, Stephen M. Nakamura, Kunio Jones, Stephen E. Lowe, Mark J. PLoS One Research Article Cognitive impairment is a common symptom in individuals with Multiple Sclerosis (MS), but meaningful, reliable biomarkers relating to cognitive decline have been elusive, making evaluation of the impact of therapeutics on cognitive function difficult. Here, we combine pathway-based MRI measures of structural and functional connectivity to construct a metric of functional decline in MS. The Structural and Functional Connectivity Index (SFCI) is proposed as a simple, z-scored metric of structural and functional connectivity, where changes in the metric have a simple statistical interpretation and may be suitable for use in clinical trials. Using data collected at six time points from a 2-year longitudinal study of 20 participants with MS and 9 age- and sex-matched healthy controls, we probe two common symptomatic domains, motor and cognitive function, by measuring structural and functional connectivity in the transcallosal motor pathway and posterior cingulum bundle. The SFCI is significantly lower in participants with MS compared to controls (p = 0.009) and shows a significant decrease over time in MS (p = 0.012). The change in SFCI over two years performed favorably compared to measures of brain parenchymal fraction and lesion volume, relating to follow-up measures of processing speed (r = 0.60, p = 0.005), verbal fluency (r = 0.57, p = 0.009), and score on the Multiple Sclerosis Functional Composite (r = 0.67, p = 0.003). These initial results show that the SFCI is a suitable metric for longitudinal evaluation of functional decline in MS. Public Library of Science 2021-06-08 /pmc/articles/PMC8186801/ /pubmed/34101741 http://dx.doi.org/10.1371/journal.pone.0251338 Text en © 2021 Koenig et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Koenig, Katherine A. Beall, Erik B. Sakaie, Ken E. Ontaneda, Daniel Stone, Lael Rao, Stephen M. Nakamura, Kunio Jones, Stephen E. Lowe, Mark J. Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis |
title | Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis |
title_full | Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis |
title_fullStr | Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis |
title_full_unstemmed | Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis |
title_short | Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis |
title_sort | evaluation of a connectivity-based imaging metric that reflects functional decline in multiple sclerosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186801/ https://www.ncbi.nlm.nih.gov/pubmed/34101741 http://dx.doi.org/10.1371/journal.pone.0251338 |
work_keys_str_mv | AT koenigkatherinea evaluationofaconnectivitybasedimagingmetricthatreflectsfunctionaldeclineinmultiplesclerosis AT beallerikb evaluationofaconnectivitybasedimagingmetricthatreflectsfunctionaldeclineinmultiplesclerosis AT sakaiekene evaluationofaconnectivitybasedimagingmetricthatreflectsfunctionaldeclineinmultiplesclerosis AT ontanedadaniel evaluationofaconnectivitybasedimagingmetricthatreflectsfunctionaldeclineinmultiplesclerosis AT stonelael evaluationofaconnectivitybasedimagingmetricthatreflectsfunctionaldeclineinmultiplesclerosis AT raostephenm evaluationofaconnectivitybasedimagingmetricthatreflectsfunctionaldeclineinmultiplesclerosis AT nakamurakunio evaluationofaconnectivitybasedimagingmetricthatreflectsfunctionaldeclineinmultiplesclerosis AT jonesstephene evaluationofaconnectivitybasedimagingmetricthatreflectsfunctionaldeclineinmultiplesclerosis AT lowemarkj evaluationofaconnectivitybasedimagingmetricthatreflectsfunctionaldeclineinmultiplesclerosis |