scholarly journals Brain peak width of skeletonised mean diffusivity (PSMD), processing speed, and other cognitive domains

2018 ◽  
Author(s):  
Ian J. Deary ◽  
Stuart J. Ritchie ◽  
Susana Muñoz Maniega ◽  
Simon R. Cox ◽  
Maria C. Valdés Hernández ◽  
...  
Keyword(s):  
White Matter ◽  
Brain Imaging ◽  
Processing Speed ◽  
Brain Mri ◽  
Mean Diffusivity ◽  
Perivascular Spaces ◽  
Peak Width ◽  
Cognitive Domains ◽  
Diffusion Parameters ◽  
Structural Brain

AbstractIt is suggested that the brain’s peak width of skeletonised water mean diffusivity (PSMD) is a neuro-biomarker of processing speed, a crucial contributor to cognitive ageing. We tested whether PSMD is more strongly correlated with processing speed than with other cognitive domains, and more strongly than other structural brain MRI indices. Participants were 731 Lothian Birth Cohort 1936 members, mean age 73 years (SD=0.7); analytical sample was 656-680. Cognitive domains tested were: processing speed (5 tests), visuospatial (3), memory (3), and verbal (3). Brain-imaging variables included PSMD, white matter diffusion parameters and hyperintensity volumes, grey and white matter volumes, and perivascular spaces. PSMD was significantly associated with all processing speed tests; absolute standardised beta values were 0.11 to 0.23 (mean = 0.17). Other structural brain-imaging variables correlated as or more strongly. PSMD was significantly associated with processing speed (−0.27), visuospatial (−0.23), memory (−0.17), and general cognitive ability (−0.25). PSMD correlated with processing speed: but not more strongly than with other cognitive domains; and not more strongly than other brain-imaging measures.

Abstract 9: Peak Width of Skeletonized Mean Diffusivity and Cognition in Cerebral Amyloid Angiopathy

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Mitchell J Horn ◽  
Elif Gokcal ◽  
J. A Becker ◽  
Alvin S Das ◽  
Kristin Schwab ◽  
...  
Keyword(s):  
White Matter ◽  
Regression Model ◽  
Cerebral Amyloid Angiopathy ◽  
Mean Diffusivity ◽  
Multiple Regression Model ◽  
Amyloid Angiopathy ◽  
Peak Width ◽  
Symbol Substitution ◽  
Relevant Variables ◽  
Cerebral Amyloid

Background: We hypothesized that Peak Width of Skeletonized Mean Diffusivity (PSMD), an automated marker of cerebral microangiopathy representing microstructural disruption of white matter (WM), would be increased in patients with cerebral amyloid angiopathy (CAA) compared to healthy controls (HCs) and increased PSMD would be associated with lower processing speed scores (PSSs) in patients with CAA. Methods: Seventy-two nondemented probable CAA patients and 23 HCs prospectively underwent high-resolution brain MRIs and cognitive tests. PSMD scores were quantified from a probabilistic skeleton of the WM tracts as previously validated (http://www.psmd-marker.com). In subjects with intracerebral hemorrhage (ICH, n=27), ICH regions were masked and removed from the PSMD pipeline. The analyses were repeated in the non-ICH hemisphere. Raw scores of Trail Making Test-B and Symbol Substitution Test were transformed into standardized z -scores and averaged to obtain PSSs. Results: The mean age (p=0.366) and sex (p=0.811) were similar between CAA patients and HCs. PSMD was higher in the CAA group [(3.95±0.9) х 10 –4 mm 2 /s] compared to HCs [(3.32±0.6) х 10 –4 mm 2 /s] (p=0.003). This association remained significant in a linear regression model corrected for age and sex (β=0.700, 95%CI 0.3-1, p=0.001). Within the CAA cohort, higher PSMD was associated with higher WM hyperintensity volume in a multiple regression model adjusted for all relevant variables (β=0.890, 95%CI 0.7-1, p<0.001). In a regression model corrected for age, sex, years of education and presence of ICH, a lower PSS was independently associated with increased PSMD (β=-0.405, 95%CI {-0.6}-{-0.2}, p<0.001). These results did not change when the non-ICH hemisphere was used for PSMD processing. Conclusion: PSMD is increased in CAA and is associated with worse PSSs supporting the view that disruption of white matter has a significant role in cognitive impairment in CAA.

Abstract T P234: Multiparametric Assessment of Longitudinal Changes in Tissue Microstructure in Normal and Abnormal Brain Tissue in Patients with Small Vessel Disease

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Maria D Valdes-Hernandez ◽  
Paul A Armitage ◽  
Eleni Sakka ◽  
Susana Munoz Maniega ◽  
Natalie A Royle ◽  
...  
Keyword(s):  
White Matter ◽  
Brain Tissue ◽  
Small Vessel Disease ◽  
Brain Mri ◽  
Mean Diffusivity ◽  
Tissue Loss ◽  
Minor Stroke ◽  
Normal Brain ◽  
Limited Information ◽  
Time Points

Background: Volume measures of normal brain tissue and white matter hyperintensities (WMH) between two time points gives limited information about the complex dynamics of tissue change. We evaluated two quantitative parameters that characterise the microstructure of normal-appearing white matter (NAWM), deep grey matter (DGM) and WMH on brain images obtained at presentation with minor stroke and at 1 year to investigate the microstructural changes. Methods: From 182 brain MRI datasets of patients with minor stroke obtained at baseline and 1 year, we extracted the WMH, DGM and NAWM, and separated WMH into less-intense and intense WMH, using validated semi-automatic methods and validated criteria. We registered the binary structural masks to diffusion space and performed a voxel-wise subtraction of the combined masks at both time points. Then we measured fractional anisotropy (FA) and mean diffusivity (MD)(valuex10 -9 m 2 /s) in each tissue mask at baseline and 1 year. Results: WMH volume median increase was 1.4ml (IQR 6.98) mainly due to changes in less-intense WMH: 0.94ml (7.13). WMH that were visible at both time points, ie damage that remained after a year, had the lowest FA= 0.21(0.06) and highest MD=1.05(0.12) at baseline, and were mainly intense WMH at baseline (FA=0.12(0.03), MD=1.55(0.27)). WMH seen only at follow-up, ie that were NAWM at baseline, had the highest FA=0.30(0.06) and lowest MD=0.85 (0.06) at baseline. WMH that were observed only at baseline had intermediate FA=0.26(0.08) and MD=0.90(0.10). NAWM FA=0.26(0.03), MD=0.78(0.04) and DGM FA=0.23(0.03), MD=0.79(0.06) did not change between time points. Conclusions: WMH at baseline can partially evolve to normal-appearing tissues, remain or precede tissue loss. Differentiation between severe and subtle damage and spatial analysis are necessary to characterise the dynamic of WMH evolution.

Abstract P59: Peak Width of Skeletonized Mean Diffusivity Outperforms Other Diffusion Tensor Imaging Metrics as Biomarker for Cognition in Memory-Clinic Subjects With Cerebral Amyloid Angiopathy

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Maria Clara Zanon Zotin ◽  
Dorothee Schoemaker ◽  
Valentina Perosa ◽  
Martin Bretzner ◽  
Lukas Sveikata ◽  
...  
Keyword(s):  
Executive Function ◽  
Diffusion Tensor Imaging ◽  
Linear Regression ◽  
Processing Speed ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Amyloid Angiopathy ◽  
Peak Width ◽  
Memory Clinic ◽  
Cerebral Amyloid

Introduction: Peak width of skeletonized mean diffusivity (PSMD) is a novel fully automated diffusion tensor imaging (DTI) marker that has been consistently associated with cognition in cerebral small vessel disease (SVD) cohorts, including cerebral amyloid angiopathy (CAA). We hypothesized that PSMD would be more strongly associated with cognitive performance compared to other conventional DTI metrics in our CAA sample. Methods: We recruited non-demented subjects with probable-CAA from a single-center memory-clinic cohort. We analyzed structural MRIs to compute a validated CAA burden score (0-6 points scale, based on the following MRI features: lobar microbleeds, superficial siderosis, perivascular spaces in centrum semiovale, and white matter hyperintensities). PSMD was obtained using a freely available script ( www.psmd-marker.com ). We used the same skeleton-mask to compute: mean of skeletonized mean diffusivity (mean MD) and mean of skeletonized fractional anisotropy (mean FA). We used linear regression analyses to explore relationships with CAA burden score and cognitive composite scores (processing speed, executive function, memory, and language - z-scores adjusted for age, sex and education level). Results: We included 43 subjects (mean age 74.4 ± 5.9 years; 48.8% female; PSMD median [IQR]: 4.05 [3.58 - 4.80] x 10 -4 mm 2 /s). In linear regression models adjusting for age, DTI metrics were significantly associated with CAA burden score (mean FA: β = -0.563, Adj. R 2 : 0.27; p < 0.001; mean MD: β = 0.581; Adj. R 2 : 0.32; p < 0.001; PSMD: β = 0.364, Adj. R 2 : 0.12; p = 0.018). PSMD was significantly associated with cognitive performance, specifically in the domains of executive function ( β = -0.568; Adj. R 2 : 0.25; p < 0.001) and processing speed ( β = -0.447; Adj. R 2 : 0.19; p = 0.004). Other DTI metrics were not significantly associated with cognitive scores. Conclusion: In this CAA sample, all DTI metrics were associated with CAA burden scores, however, only PSMD was significantly associated with cognition, in domains that are commonly affected in vascular cognitive impairment. Our results warrant confirmation in larger samples, but support PSMD as biomarker for cognition in CAA, outperforming other conventional DTI metrics.

scholarly journals Discrimination of epileptogenic lesions and perilesional white matter using diffusion tensor magnetic resonance imaging

2018 ◽  
Vol 32 (1) ◽  
pp. 10-16
Author(s):  
Alexander Rau ◽  
Elias Kellner ◽  
Niels A Foit ◽  
Niklas Lützen ◽  
Dieter H Heiland ◽  
...  
Keyword(s):  
White Matter ◽  
Fractional Anisotropy ◽  
Diffusion Tensor ◽  
Focal Cortical Dysplasia ◽  
Mean Diffusivity ◽  
Area Under The Curve ◽  
P Value ◽  
Radial Diffusivity ◽  
Normal Appearing White Matter ◽  
Diffusion Parameters

The aim of this study was to evaluate whether ganglioglioma (GGL), dysembryoplastic neuroepithelial tumour (DNET) and FCD (focal cortical dysplasia) are distinguishable through diffusion tensor imaging. Additionally, it was investigated whether the diffusion measures differed in the perilesional (pNAWM) and in the contralateral normal appearing white matter (cNAWM). Six GGLs, eight DNETs and seven FCDs were included in this study. Quantitative diffusion measures, that is, axial, radial and mean diffusivity and fractional anisotropy, were determined in the lesion identified on isotropic T2 or FLAIR-weighted images and in pNAWM and cNAWM, respectively. DNET differed from FCD in mean diffusivity, and GGL from FCD in radial diffusivity. Both types of glioneuronal tumours were different from pNAWM in fractional anisotropy and radial diffusivity. For identifying the tumour edges, threshold values for tumour-free tissue were investigated with receiver operating characteristic analyses: tumour could be separated from pNAWM at a threshold ≤ 0.32 (fractional anisotropy) or ≥ 0.56 (radial diffusivity) *10–3 mm2/s (area under the curve 0.995 and 0.990 respectively). While diffusion parameters of FCDs differed from cNAWM (radial diffusivity (*10–3 mm/s2): 0.74 ± 0.19 vs. 0.43 ± 0.05; corrected p-value < 0.001), the pNAWM could not be differentiated from the FCD.

scholarly journals Neuroimaging abnormalities in patients with Cowden syndrome

2018 ◽  
Vol 8 (3) ◽  
pp. 207-213 ◽  
Author(s):  
Radhika Dhamija ◽  
Steven M. Weindling ◽  
Alyx B. Porter ◽  
Leland S. Hu ◽  
Christopher P. Wood ◽  
...  
Keyword(s):  
White Matter ◽  
Brain Mri ◽  
Cowden Syndrome ◽  
Perivascular Spaces ◽  
Developmental Venous Anomaly ◽  
Cortical Malformation ◽  
Cavernous Malformations ◽  
Clinical Criteria ◽  
Signal Abnormality ◽  
Criteria For Diagnosis

BackgroundWe retrospectively reviewed the neuroimaging findings of patients with Cowden syndrome and determined their frequency in a single cohort.MethodsElectronic medical records were queried from January 1999 to January 2017 to identify patients who fit the clinical criteria for diagnosis of Cowden syndrome with or without a documentedPTENmutation. Patients with brain MRI examinations were then identified.ResultsWe retrospectively identified 44 patients with Cowden syndrome, 22 of whom had neuroimaging for review. Eleven (50%) had Lhermitte-Duclos disease, 4 (18.1%) had meningiomas, 13 (59.1%) had at least one developmental venous anomaly, 3 had cavernous malformations, 2 had evidence of dural arteriovenous fistula, 7 had increased white matter signal abnormalities relative to age (31.8%), 4 had prominent perivascular spaces, cerebellar tonsillar ectopia was present in 7 of 21 (33.3%), and 1 had cortical malformation.ConclusionsIt is important to recognize that in addition to Lhermitte-Duclos disease, other intracranial findings such as multiple venous anomalies, meningiomas, greater than expected white matter signal abnormality, prominent perivascular spaces, and cortical malformations may warrant a thorough evaluation for Cowden syndrome in the appropriate clinical setting. We further recommend that this broader spectrum of intracranial abnormalities be considered for addition to the Cowden syndrome diagnostic criteria at the time of next revision.

Abstract 36: The Boston Criteria V2.0 for Cerebral Amyloid Angiopathy: Updated Criteria and Multicenter MRI-Neuropathology Validation

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Andreas Charidimou ◽  
Gregoire Boulouis ◽  
Matthew Frosch ◽  
Jean-Claude Baron ◽  
Marco Pasi ◽  
...  
Keyword(s):  
White Matter ◽  
Intracerebral Hemorrhage ◽  
Diagnostic Accuracy ◽  
Cerebral Amyloid Angiopathy ◽  
Brain Mri ◽  
Amyloid Angiopathy ◽  
Perivascular Spaces ◽  
Validation Sample ◽  
Temporal Validation ◽  
Cerebral Amyloid

Introduction: The Boston criteria are used worldwide for in vivo diagnosis of cerebral amyloid angiopathy (CAA). Given substantial advances in CAA research, we aimed to update the Boston criteria and externally validate their diagnostic accuracy across the spectrum of CAA-related presentations and across international sites. Methods: As part of an International CAA Association multicenter study, we identified patients age 50 or older with potential CAA-related clinical presentations (spontaneous intracerebral hemorrhage, cognitive impairment, or transient focal neurological episodes), available brain MRI, and histopathologic assessment for the diagnosis of CAA. We derived Boston criteria v2.0 by selecting MRI features to optimize diagnostic specificity and sensitivity in a pre-specified derivation sample (Boston cases 1994 to 2012, n=159), then externally validated in pre-specified temporal (Boston cases 2012-2018, n=59) and geographical (non-Boston cases 2004-2018; n=123) validation samples and compared their diagnostic accuracy to the currently used modified Boston criteria. Results: Based on exploratory analyses in the derivation sample, we derived provisional criteria for probable CAA requiring presence of at least 2 strictly lobar hemorrhagic lesions (intracerebral hemorrhage, cerebral microbleed, or cortical superficial siderosis focus) or at least 1 strictly lobar hemorrhagic lesion and 1 white matter characteristic (severe degree of visible perivascular spaces in centrum semiovale or white matter hyperintensities multispot pattern). Sensitivity/specificity of the criteria were 74.8/84.6% in the derivation sample, 92.5/89.5% in the temporal validation sample, 80.2/81.5% in the geographic validation sample, and 74.5/95.0% in cases across all samples with autopsy as the diagnostic gold standard. The v2.0 criteria for probable CAA had superior accuracy to the currently modified Boston criteria (p<0.005) in the autopsied cases. Conclusion: The Boston criteria v.2.0 incorporate emerging MRI markers of CAA to enhance sensitivity without compromising their high specificity. Validation of the criteria across independent patient settings firmly supports their adoption into clinical practice and research.

Abstract P366: High Burden of Tract-Specific White Matter Hyperintensities Relates to Impaired Microstructural Integrity of Distal White Matter Tracts in Community-Dwelling Elders

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
YANPENG LIU ◽  
YIWEI XIA ◽  
XIAOXIAO WANG ◽  
YI WANG ◽  
LUMENG YANG ◽  
...  
Keyword(s):  
Executive Function ◽  
White Matter ◽  
Cognitive Dysfunction ◽  
White Matter Hyperintensities ◽  
Brain Mri ◽  
Mean Diffusivity ◽  
Community Dwelling ◽  
Superior Longitudinal Fasciculus ◽  
High Burden ◽  
Microstructural Integrity

Background and purpose: White matter hyperintensities (WMH) are common in elderly individuals and contribute to age-related cognitive dysfunction. Converging evidence indicates that WMH affect white matter (WM) microstructural integrity in WMH and their penumbra. We aimed to investigate whether this effect extends to the distal WM tracts, and to examine the association between distal WM microstructural integrity and cognitive dysfunction in community-dwelling elderly people. Methods: Brain MRI data including FLAIR and DTI sequences of 174 participants (74 ± 5 years) of the Shanghai Aging Study (SAS) were collected and analyzed. For each participant, WMH lesions were segmented automatically. Eighteen major WM tracts were reconstructed using automated quantitative tractography, and the mean diffusivity (MD) of distal WM tracts (excluding an area of 12 mm around the WMH) was calculated. Multivariable linear regression was performed. Results: A high burden of tract-specific WMH was related to a high MD of distal WM tracts in the forceps major (FMA), anterior thalamic radiations (ATR), cingulum cingulate gyrus (CCG), corticospinal tract (CST), superior longitudinal fasciculus-parietal (SLFP), superior longitudinal fasciculus-temporal (SLFT), and uncinate fasciculus (UNC). Furthermore, a high MD of distal tracts was linked to worse attention and executive function in the forceps minor (FMI), right CCG, left inferior longitudinal fasciculus (ILF), SLFP, SLFT and UNC. Conclusions: The effect of WMH on the microstructural integrity of WM tracts may propagate along tracts to distal regions farther than the penumbra and eventually might affect attention and executive function.

Brain size and white matter content of cerebrospinal tracts determine the upper cervical cord area: evidence from structural brain MRI

2013 ◽  
Vol 55 (8) ◽  
pp. 963-970 ◽  
Author(s):  
Christina Engl ◽  
Paul Schmidt ◽  
Milan Arsic ◽  
Christine C. Boucard ◽  
Viola Biberacher ◽  
...  
Keyword(s):  
White Matter ◽  
Brain Size ◽  
Brain Mri ◽  
Matter Content ◽  
Cervical Cord ◽  
Upper Cervical ◽  
Structural Brain

scholarly journals Adapting the UK Biobank brain imaging protocol and analysis pipeline for the C-MORE multi-organ study of COVID-19 survivors

2021 ◽  
Author(s):  
Ludovica Griffanti ◽  
Betty Raman ◽  
Fidel Alfaro-Almagro ◽  
Nicola Filippini ◽  
Mark Philip Cassar ◽  
...  
Keyword(s):  
White Matter ◽  
Brain Mri ◽  
Mean Diffusivity ◽  
Brain Anatomy ◽  
Uk Biobank ◽  
Analysis Pipeline ◽  
Imaging Protocol ◽  
Diffusion Weighted Images ◽  
Radiology Reports ◽  
The Uk

SARS-CoV-2 infection has been shown to damage multiple organs, including the brain. Multiorgan MRI can provide further insight on the repercussions of COVID-19 on organ health but requires a balance between richness and quality of data acquisition and total scan duration. We adapted the UK Biobank brain MRI protocol to produce high-quality images while being suitable as part of a post-COVID-19 multiorgan MRI exam. The analysis pipeline, also adapted from UK Biobank, includes new imaging-derived phenotypes (IDPs) designed to assess the effects of COVID-19. A first application of the protocol and pipeline was performed in 51 COVID-19 patients post-hospital discharge and 25 controls participating in the Oxford C-MORE study. The protocol acquires high resolution T1, T2-FLAIR, diffusion weighted images, susceptibility weighted images, and arterial spin labelling data in 17 minutes. The automated imaging pipeline derives 1575 IDPs, assessing brain anatomy (including olfactory bulb volume and intensity) and tissue perfusion, hyperintensities, diffusivity, and susceptibility. In the C-MORE data, these quantitative measures were consistent with clinical radiology reports. Our exploratory analysis tentatively revealed that recovered COVID-19 patients had a decrease in frontal grey matter volumes, an increased burden of white matter hyperintensities, and reduced mean diffusivity in the total and normal appearing white matter in the posterior thalamic radiation and sagittal stratum, relative to controls. These differences were generally more prominent in patients who received organ support. Increased T2* in the thalamus was also observed in recovered COVID-19 patients, with a more prominent increase for non-critical patients. This initial evidence of brain changes in COVID-19 survivors prompts the need for further investigations. Follow-up imaging in the C-MORE study is currently ongoing, and this protocol is now being used in large-scale studies. The pipeline is widely applicable and will contribute to new analyses to hopefully clarify the medium to long-term effects of COVID-19.

scholarly journals 18F-AV1451 PET imaging and white matter changes in progressive supranuclear palsy

2019 ◽  
Author(s):  
Nicolas Nicastro ◽  
Patricia Vazquez Rodriguez ◽  
Maura Malpetti ◽  
William Richard Bevan-Jones ◽  
P. Simon Jones ◽  
...  
Keyword(s):  
White Matter ◽  
Progressive Supranuclear Palsy ◽  
Pet Imaging ◽  
Diffusion Tensor ◽  
Brain Mri ◽  
Mean Diffusivity ◽  
White Matter Integrity ◽  
Tau Pathology ◽  
Cross Sectional ◽  
White Matter Changes

ABSTRACTIntroductionProgressive supranuclear palsy (PSP) is characterized by deposition of straight filament tau aggregates in the grey matter of deep nuclei and cerebellum. White matter changes are increasingly documented as a feature of degenerative parkinsonism. We therefore examined the relationship between tau pathology (assessed via 18F-AV1451 positron emission tomography) and white matter integrity (using diffusion tensor imaging, DTI) in PSP.MethodsTwenty-three people with clinically probable PSP-Richardson’s syndrome (age 68.8 ± 5.8 years, 39% female) and 23 controls underwent structural 3T brain MRI including DTI. Twenty-one patients also underwent 18F-AV145 PET imaging. DTI group comparisons were performed using Fractional Anisotropy (FA), Mean Diffusivity (MD) and Radial Diffusivity (RD). Voxel-wise white matter integrity was correlated with 18F-AV1451 binding in typical subcortical PSP regions of interest (i.e. putamen, pallidum, thalamus and midbrain). DTI and 18F-AV1451 imaging measures were correlated with clinical impairment.ResultsWidespread DTI changes in PSP subjects relative to controls (family-wise error FWE p<0.01) were observed. In PSP, higher 18F-AV1451 binding correlated with reduced white matter integrity in the bilateral internal capsule, corona radiata, and superior longitudinal fasciculus (FWE p<0.05). Association between cognitive impairment (ACER score) and white matter deficits were found in the genu of corpus callosum and cingulum (p<0.005).ConclusionThis cross-sectional study demonstrates an association between in vivo proxy measures of tau pathology and white matter degeneration in PSP. Longitudinal studies and more specific PET probes for non-Alzheimer tauopathies are warranted to assess the complex interplay between microstructural changes and protein deposition in PSP.

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