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...

Descripción completa

Detalles Bibliográficos
Autores principales: Koenig, Katherine A., Beall, Erik B., Sakaie, Ken E., Ontaneda, Daniel, Stone, Lael, Rao, Stephen M., Nakamura, Kunio, Jones, Stephen E., Lowe, Mark J.
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