Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis

Autor: Stephen E. Jones, Lael Stone, Katherine A. Koenig, Kenneth Earl Sakaie, Erik B. Beall, Daniel Ontaneda, Kunio Nakamura, Mark J. Lowe, Stephen M. Rao
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Male
Social Sciences
Neuropsychological Tests
Brain mapping
Diagnostic Radiology
030218 nuclear medicine & medical imaging
Medical Conditions
Cognition
Learning and Memory
0302 clinical medicine
Functional Magnetic Resonance Imaging
Medicine and Health Sciences
Psychology
Verbal fluency test
Longitudinal Studies
Cognitive decline
Brain Mapping
Multidisciplinary
Radiology and Imaging
Brain
Neurodegenerative Diseases
Middle Aged
Magnetic Resonance Imaging
White Matter
Diffusion Tensor Imaging
Neurology
Metric (mathematics)
Disease Progression
Medicine
Female
Research Article
Adult
medicine.medical_specialty
Multiple Sclerosis
Imaging Techniques
Brain Morphometry
Science
Immunology
Neuroimaging
Research and Analysis Methods
Gyrus Cinguli
Lateralization of brain function
Autoimmune Diseases
03 medical and health sciences
Physical medicine and rehabilitation
Diagnostic Medicine
Memory
Connectome
medicine
Humans
Cognitive Dysfunction
Behavior
business.industry
Multiple sclerosis
Resting State Functional Magnetic Resonance Imaging
Biology and Life Sciences
medicine.disease
Demyelinating Disorders
Multiple sclerosis functional composite
Cognitive Science
Clinical Immunology
Clinical Medicine
Nerve Net
business
030217 neurology & neurosurgery
Neuroscience
Zdroj: PLoS ONE, Vol 16, Iss 6, p e0251338 (2021)
PLoS ONE
ISSN: 1932-6203
Popis: 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.
Databáze: OpenAIRE
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