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Evaluation of Visual-Evoked Cerebral Metabolic Rate of Oxygen as a Diagnostic Marker in Multiple Sclerosis

A multiple sclerosis (MS) diagnosis often relies upon clinical presentation and qualitative analysis of standard, magnetic resonance brain images. However, the accuracy of MS diagnoses can be improved by utilizing advanced brain imaging methods. We assessed the accuracy of a new neuroimaging marker,...

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Autores principales: Hubbard, Nicholas A., Sanchez Araujo, Yoel, Caballero, Camila, Ouyang, Minhui, Turner, Monroe P., Himes, Lyndahl, Faghihahmadabadi, Shawheen, Thomas, Binu P., Hart, John, Huang, Hao, Okuda, Darin T., Rypma, Bart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5483637/
https://www.ncbi.nlm.nih.gov/pubmed/28604606
http://dx.doi.org/10.3390/brainsci7060064
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author Hubbard, Nicholas A.
Sanchez Araujo, Yoel
Caballero, Camila
Ouyang, Minhui
Turner, Monroe P.
Himes, Lyndahl
Faghihahmadabadi, Shawheen
Thomas, Binu P.
Hart, John
Huang, Hao
Okuda, Darin T.
Rypma, Bart
author_facet Hubbard, Nicholas A.
Sanchez Araujo, Yoel
Caballero, Camila
Ouyang, Minhui
Turner, Monroe P.
Himes, Lyndahl
Faghihahmadabadi, Shawheen
Thomas, Binu P.
Hart, John
Huang, Hao
Okuda, Darin T.
Rypma, Bart
author_sort Hubbard, Nicholas A.
collection PubMed
description A multiple sclerosis (MS) diagnosis often relies upon clinical presentation and qualitative analysis of standard, magnetic resonance brain images. However, the accuracy of MS diagnoses can be improved by utilizing advanced brain imaging methods. We assessed the accuracy of a new neuroimaging marker, visual-evoked cerebral metabolic rate of oxygen (veCMRO(2)), in classifying MS patients and closely age- and sex-matched healthy control (HC) participants. MS patients and HCs underwent calibrated functional magnetic resonance imaging (cfMRI) during a visual stimulation task, diffusion tensor imaging, T(1)- and T(2)-weighted imaging, neuropsychological testing, and completed self-report questionnaires. Using resampling techniques to avoid bias and increase the generalizability of the results, we assessed the accuracy of veCMRO(2) in classifying MS patients and HCs. veCMRO(2) classification accuracy was also examined in the context of other evoked visuofunctional measures, white matter microstructural integrity, lesion-based measures from T(2)-weighted imaging, atrophy measures from T(1)-weighted imaging, neuropsychological tests, and self-report assays of clinical symptomology. veCMRO(2) was significant and within the top 16% of measures (43 total) in classifying MS status using both within-sample (82% accuracy) and out-of-sample (77% accuracy) observations. High accuracy of veCMRO(2) in classifying MS demonstrated an encouraging first step toward establishing veCMRO(2) as a neurodiagnostic marker of MS.
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spelling pubmed-54836372017-06-28 Evaluation of Visual-Evoked Cerebral Metabolic Rate of Oxygen as a Diagnostic Marker in Multiple Sclerosis Hubbard, Nicholas A. Sanchez Araujo, Yoel Caballero, Camila Ouyang, Minhui Turner, Monroe P. Himes, Lyndahl Faghihahmadabadi, Shawheen Thomas, Binu P. Hart, John Huang, Hao Okuda, Darin T. Rypma, Bart Brain Sci Article A multiple sclerosis (MS) diagnosis often relies upon clinical presentation and qualitative analysis of standard, magnetic resonance brain images. However, the accuracy of MS diagnoses can be improved by utilizing advanced brain imaging methods. We assessed the accuracy of a new neuroimaging marker, visual-evoked cerebral metabolic rate of oxygen (veCMRO(2)), in classifying MS patients and closely age- and sex-matched healthy control (HC) participants. MS patients and HCs underwent calibrated functional magnetic resonance imaging (cfMRI) during a visual stimulation task, diffusion tensor imaging, T(1)- and T(2)-weighted imaging, neuropsychological testing, and completed self-report questionnaires. Using resampling techniques to avoid bias and increase the generalizability of the results, we assessed the accuracy of veCMRO(2) in classifying MS patients and HCs. veCMRO(2) classification accuracy was also examined in the context of other evoked visuofunctional measures, white matter microstructural integrity, lesion-based measures from T(2)-weighted imaging, atrophy measures from T(1)-weighted imaging, neuropsychological tests, and self-report assays of clinical symptomology. veCMRO(2) was significant and within the top 16% of measures (43 total) in classifying MS status using both within-sample (82% accuracy) and out-of-sample (77% accuracy) observations. High accuracy of veCMRO(2) in classifying MS demonstrated an encouraging first step toward establishing veCMRO(2) as a neurodiagnostic marker of MS. MDPI 2017-06-11 /pmc/articles/PMC5483637/ /pubmed/28604606 http://dx.doi.org/10.3390/brainsci7060064 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hubbard, Nicholas A.
Sanchez Araujo, Yoel
Caballero, Camila
Ouyang, Minhui
Turner, Monroe P.
Himes, Lyndahl
Faghihahmadabadi, Shawheen
Thomas, Binu P.
Hart, John
Huang, Hao
Okuda, Darin T.
Rypma, Bart
Evaluation of Visual-Evoked Cerebral Metabolic Rate of Oxygen as a Diagnostic Marker in Multiple Sclerosis
title Evaluation of Visual-Evoked Cerebral Metabolic Rate of Oxygen as a Diagnostic Marker in Multiple Sclerosis
title_full Evaluation of Visual-Evoked Cerebral Metabolic Rate of Oxygen as a Diagnostic Marker in Multiple Sclerosis
title_fullStr Evaluation of Visual-Evoked Cerebral Metabolic Rate of Oxygen as a Diagnostic Marker in Multiple Sclerosis
title_full_unstemmed Evaluation of Visual-Evoked Cerebral Metabolic Rate of Oxygen as a Diagnostic Marker in Multiple Sclerosis
title_short Evaluation of Visual-Evoked Cerebral Metabolic Rate of Oxygen as a Diagnostic Marker in Multiple Sclerosis
title_sort evaluation of visual-evoked cerebral metabolic rate of oxygen as a diagnostic marker in multiple sclerosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5483637/
https://www.ncbi.nlm.nih.gov/pubmed/28604606
http://dx.doi.org/10.3390/brainsci7060064
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