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...

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Autores principales:	Katherine A Koenig, Erik B Beall, Ken E Sakaie, Daniel Ontaneda, Lael Stone, Stephen M Rao, Kunio Nakamura, Stephen E Jones, Mark J Lowe
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9d9ea391a5d343c087b43241710aacbe
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spelling	oai:doaj.org-article:9d9ea391a5d343c087b43241710aacbe2021-12-02T20:03:54ZEvaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis.1932-620310.1371/journal.pone.0251338https://doaj.org/article/9d9ea391a5d343c087b43241710aacbe2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251338https://doaj.org/toc/1932-6203Cognitive 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.Katherine A KoenigErik B BeallKen E SakaieDaniel OntanedaLael StoneStephen M RaoKunio NakamuraStephen E JonesMark J LowePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0251338 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Katherine A Koenig Erik B Beall Ken E Sakaie Daniel Ontaneda Lael Stone Stephen M Rao Kunio Nakamura Stephen E Jones Mark J Lowe Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis.
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	article
author	Katherine A Koenig Erik B Beall Ken E Sakaie Daniel Ontaneda Lael Stone Stephen M Rao Kunio Nakamura Stephen E Jones Mark J Lowe
author_facet	Katherine A Koenig Erik B Beall Ken E Sakaie Daniel Ontaneda Lael Stone Stephen M Rao Kunio Nakamura Stephen E Jones Mark J Lowe
author_sort	Katherine A Koenig
title	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_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_sort	evaluation of a connectivity-based imaging metric that reflects functional decline in multiple sclerosis.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/9d9ea391a5d343c087b43241710aacbe
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Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis.

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