Cortical and Deep Gray Matter Perfusion Associations With Physical and Cognitive Performance in Multiple Sclerosis Patients
Background: Reports suggest presence of cerebral hypoperfusion in multiple sclerosis (MS). Currently there are no studies that examine if the cerebral MS perfusion is affected by presence of cardiovascular comorbidities.Objective: To investigate associations between cerebral perfusion and disease ou...
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| Format: | Article |
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Frontiers Media S.A.
2020-07-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fneur.2020.00700/full |
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| author | Dejan Jakimovski Niels Bergsland Niels Bergsland Michael G. Dwyer John Traversone Jesper Hagemeier Tom A. Fuchs Tom A. Fuchs Deepa P. Ramasamy Bianca Weinstock-Guttman Ralph H. B. Benedict Robert Zivadinov Robert Zivadinov |
| author_facet | Dejan Jakimovski Niels Bergsland Niels Bergsland Michael G. Dwyer John Traversone Jesper Hagemeier Tom A. Fuchs Tom A. Fuchs Deepa P. Ramasamy Bianca Weinstock-Guttman Ralph H. B. Benedict Robert Zivadinov Robert Zivadinov |
| author_sort | Dejan Jakimovski |
| collection | DOAJ |
| description | Background: Reports suggest presence of cerebral hypoperfusion in multiple sclerosis (MS). Currently there are no studies that examine if the cerebral MS perfusion is affected by presence of cardiovascular comorbidities.Objective: To investigate associations between cerebral perfusion and disease outcomes in MS patients with and without comorbid cardiovascular diseases (CVD).Materials: One hundred three MS patients (75.7% female) with average age of 54.4 years and 21.1 years of disease duration underwent 3T MRI dynamic susceptibility contrast (DSC) imaging and were tested with Expanded Disability Status Scale, Multiple Sclerosis Severity Score (MSSS), Timed 25-Foot Walk (T25FW), 9-Hole Peg Test (9HPT) and Symbol Digit Modalities Test (SDMT). Structural and perfusion-based normalized measures of cerebral blood flow (nCBF), cerebral blood volume (nCBV) and mean transit time (MTT) of global, tissue-specific and deep gray matter (DGM) areas were derived. CBV and CBF were normalized by the normal-appearing white matter counterpart.Results: In linear step-wise regression analysis, age- and sex-adjusted, MSSS (R2 = 0.186) was associated with whole brain volume (WBV) (β = −0.244, p = 0.046) and gray matter (GM) nCBF (β = −0.22, p = 0.035). T25FW (R2 = 0.278) was associated with WBV (β = −0.289, p = 0.012) and hippocampus nCBV (β = −0.225, p = 0.03). 9HPT (R2 = 0.401) was associated with WBV (β = 0.195, p = 0.049) and thalamus MTT (β = −0.198, p=0.032). After adjustment for years of education, SDMT (R2 = 0.412) was explained by T2-lesion volume (β = −0.305, p = 0.001), and GM nCBV (β = 0.236, p = 0.013). No differences in MTT, nCBF nor nCBV measures between patients with (n = 42) and without CVD (n = 61) were found. Perfusion-measures were also not able to distinguish CVD status in a logistic regression model.Conclusion: Decreased GM and deep GM perfusion is associated with poorer MS outcomes, but not with presence of CVD. |
| first_indexed | 2024-12-21T04:06:34Z |
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| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-12-21T04:06:34Z |
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| spelling | doaj.art-83b6f80a2d0c4f2db56b9509e7f5e4c02022-12-21T19:16:34ZengFrontiers Media S.A.Frontiers in Neurology1664-22952020-07-011110.3389/fneur.2020.00700543600Cortical and Deep Gray Matter Perfusion Associations With Physical and Cognitive Performance in Multiple Sclerosis PatientsDejan Jakimovski0Niels Bergsland1Niels Bergsland2Michael G. Dwyer3John Traversone4Jesper Hagemeier5Tom A. Fuchs6Tom A. Fuchs7Deepa P. Ramasamy8Bianca Weinstock-Guttman9Ralph H. B. Benedict10Robert Zivadinov11Robert Zivadinov12Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United StatesDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United StatesIRCCS, Fondazione Don Carlo Gnocchi, Milan, ItalyDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United StatesDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United StatesDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United StatesDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United StatesDepartment of Neurology, Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United StatesDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United StatesDepartment of Neurology, Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United StatesDepartment of Neurology, Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United StatesDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United StatesCenter for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, United StatesBackground: Reports suggest presence of cerebral hypoperfusion in multiple sclerosis (MS). Currently there are no studies that examine if the cerebral MS perfusion is affected by presence of cardiovascular comorbidities.Objective: To investigate associations between cerebral perfusion and disease outcomes in MS patients with and without comorbid cardiovascular diseases (CVD).Materials: One hundred three MS patients (75.7% female) with average age of 54.4 years and 21.1 years of disease duration underwent 3T MRI dynamic susceptibility contrast (DSC) imaging and were tested with Expanded Disability Status Scale, Multiple Sclerosis Severity Score (MSSS), Timed 25-Foot Walk (T25FW), 9-Hole Peg Test (9HPT) and Symbol Digit Modalities Test (SDMT). Structural and perfusion-based normalized measures of cerebral blood flow (nCBF), cerebral blood volume (nCBV) and mean transit time (MTT) of global, tissue-specific and deep gray matter (DGM) areas were derived. CBV and CBF were normalized by the normal-appearing white matter counterpart.Results: In linear step-wise regression analysis, age- and sex-adjusted, MSSS (R2 = 0.186) was associated with whole brain volume (WBV) (β = −0.244, p = 0.046) and gray matter (GM) nCBF (β = −0.22, p = 0.035). T25FW (R2 = 0.278) was associated with WBV (β = −0.289, p = 0.012) and hippocampus nCBV (β = −0.225, p = 0.03). 9HPT (R2 = 0.401) was associated with WBV (β = 0.195, p = 0.049) and thalamus MTT (β = −0.198, p=0.032). After adjustment for years of education, SDMT (R2 = 0.412) was explained by T2-lesion volume (β = −0.305, p = 0.001), and GM nCBV (β = 0.236, p = 0.013). No differences in MTT, nCBF nor nCBV measures between patients with (n = 42) and without CVD (n = 61) were found. Perfusion-measures were also not able to distinguish CVD status in a logistic regression model.Conclusion: Decreased GM and deep GM perfusion is associated with poorer MS outcomes, but not with presence of CVD.https://www.frontiersin.org/article/10.3389/fneur.2020.00700/fullMScerebral arterial blood flowcognitioncardiovascular diseasehypertensionhyperlipidemia |
| spellingShingle | Dejan Jakimovski Niels Bergsland Niels Bergsland Michael G. Dwyer John Traversone Jesper Hagemeier Tom A. Fuchs Tom A. Fuchs Deepa P. Ramasamy Bianca Weinstock-Guttman Ralph H. B. Benedict Robert Zivadinov Robert Zivadinov Cortical and Deep Gray Matter Perfusion Associations With Physical and Cognitive Performance in Multiple Sclerosis Patients Frontiers in Neurology MS cerebral arterial blood flow cognition cardiovascular disease hypertension hyperlipidemia |
| title | Cortical and Deep Gray Matter Perfusion Associations With Physical and Cognitive Performance in Multiple Sclerosis Patients |
| title_full | Cortical and Deep Gray Matter Perfusion Associations With Physical and Cognitive Performance in Multiple Sclerosis Patients |
| title_fullStr | Cortical and Deep Gray Matter Perfusion Associations With Physical and Cognitive Performance in Multiple Sclerosis Patients |
| title_full_unstemmed | Cortical and Deep Gray Matter Perfusion Associations With Physical and Cognitive Performance in Multiple Sclerosis Patients |
| title_short | Cortical and Deep Gray Matter Perfusion Associations With Physical and Cognitive Performance in Multiple Sclerosis Patients |
| title_sort | cortical and deep gray matter perfusion associations with physical and cognitive performance in multiple sclerosis patients |
| topic | MS cerebral arterial blood flow cognition cardiovascular disease hypertension hyperlipidemia |
| url | https://www.frontiersin.org/article/10.3389/fneur.2020.00700/full |
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