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,...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
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MDPI AG
2018
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| Online Access: | http://hdl.handle.net/1721.1/113373 |
| _version_ | 1811082994440470528 |
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| author | Ouyang, Minhui Turner, Monroe P. Himes, Lyndahl Faghihahmadabadi, Shawheen Thomas, Binu P. Hart, John Huang, Hao Okuda, Darin T. Rypma, Bart Hubbard, Nicholas Turner, Monroe Thomas, Binu Okuda, Darin Sanchez Araujo, Yoel Caballero, Camila |
| author2 | McGovern Institute for Brain Research at MIT |
| author_facet | McGovern Institute for Brain Research at MIT Ouyang, Minhui Turner, Monroe P. Himes, Lyndahl Faghihahmadabadi, Shawheen Thomas, Binu P. Hart, John Huang, Hao Okuda, Darin T. Rypma, Bart Hubbard, Nicholas Turner, Monroe Thomas, Binu Okuda, Darin Sanchez Araujo, Yoel Caballero, Camila |
| author_sort | Ouyang, Minhui |
| collection | MIT |
| 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 (veCMRO₂, 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, T₁- and T₂-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 veCMRO₂ in classifying MS patients and HCs. veCMRO₂ classification accuracy was also examined in the context of other evoked visuofunctional measures, white matter microstructural integrity, lesion-based measures from T₂-weighted imaging, atrophy measures from T₁-weighted imaging, neuropsychological tests, and self-report assays of clinical symptomology. veCMRO₂ 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 veCMRO₂ in classifying MS demonstrated an encouraging first step toward establishing veCMRO₂ as a neurodiagnostic marker of MS. Keywords: calibrated functional magnetic resonance imaging; multiple sclerosis; diagnosis; visual system; metabolism |
| first_indexed | 2024-09-23T12:17:02Z |
| format | Article |
| id | mit-1721.1/113373 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T12:17:02Z |
| publishDate | 2018 |
| publisher | MDPI AG |
| record_format | dspace |
| spelling | mit-1721.1/1133732022-09-28T00:56:10Z Evaluation of Visual-Evoked Cerebral Metabolic Rate of Oxygen as a Diagnostic Marker in Multiple Sclerosis Ouyang, Minhui Turner, Monroe P. Himes, Lyndahl Faghihahmadabadi, Shawheen Thomas, Binu P. Hart, John Huang, Hao Okuda, Darin T. Rypma, Bart Hubbard, Nicholas Turner, Monroe Thomas, Binu Okuda, Darin Sanchez Araujo, Yoel Caballero, Camila McGovern Institute for Brain Research at MIT Hubbard, Nicholas Sanchez Araujo, Yoel Caballero, Camila 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 (veCMRO₂, 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, T₁- and T₂-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 veCMRO₂ in classifying MS patients and HCs. veCMRO₂ classification accuracy was also examined in the context of other evoked visuofunctional measures, white matter microstructural integrity, lesion-based measures from T₂-weighted imaging, atrophy measures from T₁-weighted imaging, neuropsychological tests, and self-report assays of clinical symptomology. veCMRO₂ 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 veCMRO₂ in classifying MS demonstrated an encouraging first step toward establishing veCMRO₂ as a neurodiagnostic marker of MS. Keywords: calibrated functional magnetic resonance imaging; multiple sclerosis; diagnosis; visual system; metabolism 2018-01-31T13:46:12Z 2018-01-31T13:46:12Z 2017-06 2017-03 2018-01-24T21:04:36Z Article http://purl.org/eprint/type/JournalArticle 2076-3425 http://hdl.handle.net/1721.1/113373 Hubbard, Nicholas et al. "Evaluation of Visual-Evoked Cerebral Metabolic Rate of Oxygen as a Diagnostic Marker in Multiple Sclerosis." Brain Sciences 7, 6 (June 2017): 64 © 2017 The Author(s) http://dx.doi.org/10.3390/brainsci7060064 Brain Sciences Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ application/pdf MDPI AG Multidisciplinary Digital Publishing Institute |
| spellingShingle | Ouyang, Minhui Turner, Monroe P. Himes, Lyndahl Faghihahmadabadi, Shawheen Thomas, Binu P. Hart, John Huang, Hao Okuda, Darin T. Rypma, Bart Hubbard, Nicholas Turner, Monroe Thomas, Binu Okuda, Darin Sanchez Araujo, Yoel Caballero, Camila 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 |
| url | http://hdl.handle.net/1721.1/113373 |
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