Microstructure of Strategic White Matter Tracts and Cognition in Memory Clinic Patients with Vascular Brain Injury

Biesbroek, J. Matthijs; Leemans, Alexander; H, den Bakker; Duering, Marco; Gesierich, Benno; Hl, Koek; Berg, Esther van den; Postma, Albert; Gj, Biessels

doi:10.1159/000485376

Cited by 21 publications

(26 citation statements)

References 43 publications

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“…The average FA value in the NAWM region measured in the current study was 0.39 ± 0.03. This value is in agreement with previously published measurements of average FA in WM regions and specific WM tracts in VCI subjects [83–85]. Specifically, the average FA value in the WM of VCI subjects was previously reported as 0.41 ± 0.026 [83].…”

Section: Discussionsupporting

confidence: 92%

Comparison of quality control methods for automated diffusion tensor imaging analysis pipelines

et al. 2019

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The processing of brain diffusion tensor imaging (DTI) data for large cohort studies requires fully automatic pipelines to perform quality control (QC) and artifact/outlier removal procedures on the raw DTI data prior to calculation of diffusion parameters. In this study, three automatic DTI processing pipelines, each complying with the general ENIGMA framework, were designed by uniquely combining multiple image processing software tools. Different QC procedures based on the RESTORE algorithm, the DTIPrep protocol, and a combination of both methods were compared using simulated ground truth and artifact containing DTI datasets modeling eddy current induced distortions, various levels of motion artifacts, and thermal noise. Variability was also examined in 20 DTI datasets acquired in subjects with vascular cognitive impairment (VCI) from the multi-site Ontario Neurodegenerative Disease Research Initiative (ONDRI). The mean fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were calculated in global brain grey matter (GM) and white matter (WM) regions. For the simulated DTI datasets, the measure used to evaluate the performance of the pipelines was the normalized difference between the mean DTI metrics measured in GM and WM regions and the corresponding ground truth DTI value. The performance of the proposed pipelines was very similar, particularly in FA measurements. However, the pipeline based on the RESTORE algorithm was the most accurate when analyzing the artifact containing DTI datasets. The pipeline that combined the DTIPrep protocol and the RESTORE algorithm produced the lowest standard deviation in FA measurements in normal appearing WM across subjects. We concluded that this pipeline was the most robust and is preferred for automated analysis of multisite brain DTI data.

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Section: Discussionsupporting

confidence: 92%

Comparison of quality control methods for automated diffusion tensor imaging analysis pipelines

et al. 2019

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“…Normalized brain volumes were used as outcome (standardized into z ‐scores using the mean and standard deviation [SD] of the whole study sample and corrected for scanner effect). The strength of the connections between direct determinants and outcome was assessed by 100 bootstrap replications 26 . Only connections that were strong enough (> 40% replications) were shown in the final network.…”

Section: Methodsmentioning

confidence: 99%

Small vessel disease lesion type and brain atrophy: The role of co‐occurring amyloid

Heinen

Groeneveld

Barkhof

et al. 2020

Alzheimer's & Dementia: Diagnosis, Assessment &

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Introduction It is unknown whether different types of small vessel disease (SVD), differentially relate to brain atrophy and if co‐occurring Alzheimer's disease pathology affects this relation. Methods In 725 memory clinic patients with SVD (mean age 67 ± 8 years, 48% female) we compared brain volumes of those with moderate/severe white matter hyperintensities (WMHs; n = 326), lacunes (n = 132) and cerebral microbleeds (n = 321) to a reference group with mild WMHs (n = 197), also considering cerebrospinal fluid (CSF) amyloid status in a subset of patients (n = 488). Results WMHs and lacunes, but not cerebral microbleeds, were associated with smaller gray matter (GM) volumes. In analyses stratified by CSF amyloid status, WMHs and lacunes were associated with smaller total brain and GM volumes only in amyloid‐negative patients. SVD‐related atrophy was most evident in frontal (cortical) GM, again predominantly in amyloid‐negative patients. Discussion Amyloid status modifies the differential relation between SVD lesion type and brain atrophy in memory clinic patients.

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“…The relevant studies included in this review are summarized in Table 8. Most of the studies performed tractography based on deterministic fiber tracking [91,92] except [93,94] where probabilistic tracking based on constrained spherical deconvolution (CSD) model [95] was followed. Network measures such as network efficiency and connectivity strength were used widely except [94,96,97] where the DTI values were analyzed on WM tracts.…”

Section: Structural Connectivitymentioning

confidence: 99%

Review of diffusion MRI studies in chronic white matter diseases

Raja

Rosenberg

Caprihan

2019

Neuroscience Letters

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Diffusion MRI studies characterizing the changes in white matter (WM) due to vascular cognitive impairment, which includes all forms of small vessel disease are reviewed. We reviewed the usefulness of diffusion methods in discriminating the affected WM regions and its relation to cognitive impairment. These studies were categorized based on the diffusion MRI techniques used. The most common method was the diffusion tensor imaging, whereas other methods included diffusion weighted imaging, diffusion kurtosis imaging, intravoxel incoherent motion, and studies based on diffusion tractography. The diffusion measures showed correlation with cognitive scores and disease progression, with mean diffusivity being the most robust parameter. Future studies should focus on incorporating multi-compartment and higher order diffusion models, which can handle the presence of multiple and crossing fibers inside a voxel.

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Microstructure of Strategic White Matter Tracts and Cognition in Memory Clinic Patients with Vascular Brain Injury

Cited by 21 publications

References 43 publications

Comparison of quality control methods for automated diffusion tensor imaging analysis pipelines

Comparison of quality control methods for automated diffusion tensor imaging analysis pipelines

Small vessel disease lesion type and brain atrophy: The role of co‐occurring amyloid

Review of diffusion MRI studies in chronic white matter diseases

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