Peak Width of Skeletonized Mean Diffusivity as a Marker of Diffuse Cerebrovascular Damage
BackgroundThe peak width of skeletonized mean diffusivity (PSMD) has been proposed as a fully automated imaging marker of relevance to cerebral small vessel disease (SVD). We assessed PSMD in relation to conventional SVD markers, global measures of neurodegeneration, and cognition.Methods145 partici...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2020-03-01
|
| Series: | Frontiers in Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fnins.2020.00238/full |
| _version_ | 1818023685110366208 |
|---|---|
| author | Audrey Low Elijah Mak James D. Stefaniak Maura Malpetti Nicolas Nicastro Nicolas Nicastro George Savulich Leonidas Chouliaras Hugh S. Markus James B. Rowe John T. O’Brien |
| author_facet | Audrey Low Elijah Mak James D. Stefaniak Maura Malpetti Nicolas Nicastro Nicolas Nicastro George Savulich Leonidas Chouliaras Hugh S. Markus James B. Rowe John T. O’Brien |
| author_sort | Audrey Low |
| collection | DOAJ |
| description | BackgroundThe peak width of skeletonized mean diffusivity (PSMD) has been proposed as a fully automated imaging marker of relevance to cerebral small vessel disease (SVD). We assessed PSMD in relation to conventional SVD markers, global measures of neurodegeneration, and cognition.Methods145 participants underwent 3T brain MRI and cognitive assessment. 112 were patients with mild cognitive impairment, Alzheimer’s disease, progressive supranuclear palsy, dementia with Lewy bodies, or frontotemporal dementia. PSMD, SVD burden [white matter hyperintensities (WMH), enlarged perivascular spaces (EPVS), microbleeds, lacunes], average mean diffusivity (MD), gray matter (GM), white matter (WM), and total intracranial volume were quantified. Robust linear regression was conducted to examine associations between variables. Dominance analysis assessed the relative importance of markers in predicting various outcomes. Regional analyses examined spatial overlap between PSMD and WMH.ResultsPSMD was associated with global and regional SVD measures, especially WMH and microbleeds. Dominance analysis demonstrated that among SVD markers, WMH was the strongest predictor of PSMD. Furthermore, PSMD was more closely associated to WMH than with GM and WM volumes. PSMD was associated with WMH across all regions, and correlations were not significantly stronger in corresponding regions (e.g., frontal PSMD and frontal WMH) compared to non-corresponding regions. PSMD outperformed all four conventional SVD markers and MD in predicting cognition, but was comparable to GM and WM volumes.DiscussionPSMD was robustly associated with established SVD markers. This new measure appears to be a marker of diffuse brain injury, largely due to vascular pathology, and may be a useful and convenient metric of overall cerebrovascular burden. |
| first_indexed | 2024-12-10T03:48:15Z |
| format | Article |
| id | doaj.art-c6db892f90a548be873e9c7ed014c661 |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-12-10T03:48:15Z |
| publishDate | 2020-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-c6db892f90a548be873e9c7ed014c6612022-12-22T02:03:20ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2020-03-011410.3389/fnins.2020.00238506948Peak Width of Skeletonized Mean Diffusivity as a Marker of Diffuse Cerebrovascular DamageAudrey Low0Elijah Mak1James D. Stefaniak2Maura Malpetti3Nicolas Nicastro4Nicolas Nicastro5George Savulich6Leonidas Chouliaras7Hugh S. Markus8James B. Rowe9John T. O’Brien10Department of Psychiatry, University of Cambridge, Cambridge, United KingdomDepartment of Psychiatry, University of Cambridge, Cambridge, United KingdomDivision of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United KingdomDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United KingdomDepartment of Psychiatry, University of Cambridge, Cambridge, United KingdomDivision of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, SwitzerlandDepartment of Psychiatry, University of Cambridge, Cambridge, United KingdomDepartment of Psychiatry, University of Cambridge, Cambridge, United KingdomDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United KingdomDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United KingdomDepartment of Psychiatry, University of Cambridge, Cambridge, United KingdomBackgroundThe peak width of skeletonized mean diffusivity (PSMD) has been proposed as a fully automated imaging marker of relevance to cerebral small vessel disease (SVD). We assessed PSMD in relation to conventional SVD markers, global measures of neurodegeneration, and cognition.Methods145 participants underwent 3T brain MRI and cognitive assessment. 112 were patients with mild cognitive impairment, Alzheimer’s disease, progressive supranuclear palsy, dementia with Lewy bodies, or frontotemporal dementia. PSMD, SVD burden [white matter hyperintensities (WMH), enlarged perivascular spaces (EPVS), microbleeds, lacunes], average mean diffusivity (MD), gray matter (GM), white matter (WM), and total intracranial volume were quantified. Robust linear regression was conducted to examine associations between variables. Dominance analysis assessed the relative importance of markers in predicting various outcomes. Regional analyses examined spatial overlap between PSMD and WMH.ResultsPSMD was associated with global and regional SVD measures, especially WMH and microbleeds. Dominance analysis demonstrated that among SVD markers, WMH was the strongest predictor of PSMD. Furthermore, PSMD was more closely associated to WMH than with GM and WM volumes. PSMD was associated with WMH across all regions, and correlations were not significantly stronger in corresponding regions (e.g., frontal PSMD and frontal WMH) compared to non-corresponding regions. PSMD outperformed all four conventional SVD markers and MD in predicting cognition, but was comparable to GM and WM volumes.DiscussionPSMD was robustly associated with established SVD markers. This new measure appears to be a marker of diffuse brain injury, largely due to vascular pathology, and may be a useful and convenient metric of overall cerebrovascular burden.https://www.frontiersin.org/article/10.3389/fnins.2020.00238/fullsmall vessel diseasemagnetic resonance imagingdiffusion tensor imagingwhite matter hyperintensitiescognitiondementia |
| spellingShingle | Audrey Low Elijah Mak James D. Stefaniak Maura Malpetti Nicolas Nicastro Nicolas Nicastro George Savulich Leonidas Chouliaras Hugh S. Markus James B. Rowe John T. O’Brien Peak Width of Skeletonized Mean Diffusivity as a Marker of Diffuse Cerebrovascular Damage Frontiers in Neuroscience small vessel disease magnetic resonance imaging diffusion tensor imaging white matter hyperintensities cognition dementia |
| title | Peak Width of Skeletonized Mean Diffusivity as a Marker of Diffuse Cerebrovascular Damage |
| title_full | Peak Width of Skeletonized Mean Diffusivity as a Marker of Diffuse Cerebrovascular Damage |
| title_fullStr | Peak Width of Skeletonized Mean Diffusivity as a Marker of Diffuse Cerebrovascular Damage |
| title_full_unstemmed | Peak Width of Skeletonized Mean Diffusivity as a Marker of Diffuse Cerebrovascular Damage |
| title_short | Peak Width of Skeletonized Mean Diffusivity as a Marker of Diffuse Cerebrovascular Damage |
| title_sort | peak width of skeletonized mean diffusivity as a marker of diffuse cerebrovascular damage |
| topic | small vessel disease magnetic resonance imaging diffusion tensor imaging white matter hyperintensities cognition dementia |
| url | https://www.frontiersin.org/article/10.3389/fnins.2020.00238/full |
| work_keys_str_mv | AT audreylow peakwidthofskeletonizedmeandiffusivityasamarkerofdiffusecerebrovasculardamage AT elijahmak peakwidthofskeletonizedmeandiffusivityasamarkerofdiffusecerebrovasculardamage AT jamesdstefaniak peakwidthofskeletonizedmeandiffusivityasamarkerofdiffusecerebrovasculardamage AT mauramalpetti peakwidthofskeletonizedmeandiffusivityasamarkerofdiffusecerebrovasculardamage AT nicolasnicastro peakwidthofskeletonizedmeandiffusivityasamarkerofdiffusecerebrovasculardamage AT nicolasnicastro peakwidthofskeletonizedmeandiffusivityasamarkerofdiffusecerebrovasculardamage AT georgesavulich peakwidthofskeletonizedmeandiffusivityasamarkerofdiffusecerebrovasculardamage AT leonidaschouliaras peakwidthofskeletonizedmeandiffusivityasamarkerofdiffusecerebrovasculardamage AT hughsmarkus peakwidthofskeletonizedmeandiffusivityasamarkerofdiffusecerebrovasculardamage AT jamesbrowe peakwidthofskeletonizedmeandiffusivityasamarkerofdiffusecerebrovasculardamage AT johntobrien peakwidthofskeletonizedmeandiffusivityasamarkerofdiffusecerebrovasculardamage |