Interhemispheric characterization of small vessel disease imaging markers after subcortical infarct

Valdés-Hernández, Maria del C.; Qiu, Xinyi; Wang, Xin; Wiseman, Stewart; Sakka, Eleni; Maconick, Lucy; Doubal, Fergus; Sudlow, Cathie

doi:10.1002/brb3.595

Cited by 8 publications

(7 citation statements)

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“…We evaluated whether our conclusions could have been affected by the global approach taken in the tissue analyses and evaluated interhemispheric textural differences in pairs of ROIs on similar anatomical regions, and differences in the textural variability between ROIs located in different arterial territories and distances with respect to the infarct. In agreement with previous studies ( 30 , 54 ), the proximity/hemisphere of the infarcted region did not appear to have influenced our results.…”

Section: Discussionsupporting

confidence: 94%

Application of Texture Analysis to Study Small Vessel Disease and Blood–Brain Barrier Integrity

et al. 2017

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ObjectivesWe evaluate the alternative use of texture analysis for evaluating the role of blood–brain barrier (BBB) in small vessel disease (SVD).MethodsWe used brain magnetic resonance imaging from 204 stroke patients, acquired before and 20 min after intravenous gadolinium administration. We segmented tissues, white matter hyperintensities (WMH) and applied validated visual scores. We measured textural features in all tissues pre- and post-contrast and used ANCOVA to evaluate the effect of SVD indicators on the pre-/post-contrast change, Kruskal–Wallis for significance between patient groups and linear mixed models for pre-/post-contrast variations in cerebrospinal fluid (CSF) with Fazekas scores.ResultsTextural “homogeneity” increase in normal tissues with higher presence of SVD indicators was consistently more overt than in abnormal tissues. Textural “homogeneity” increased with age, basal ganglia perivascular spaces scores (p < 0.01) and SVD scores (p < 0.05) and was significantly higher in hypertensive patients (p < 0.002) and lacunar stroke (p = 0.04). Hypertension (74% patients), WMH load (median = 1.5 ± 1.6% of intracranial volume), and age (mean = 65.6 years, SD = 11.3) predicted the pre/post-contrast change in normal white matter, WMH, and index stroke lesion. CSF signal increased with increasing SVD post-contrast.ConclusionA consistent general pattern of increasing textural “homogeneity” with increasing SVD and post-contrast change in CSF with increasing WMH suggest that texture analysis may be useful for the study of BBB integrity.

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Section: Discussionsupporting

confidence: 94%

Application of Texture Analysis to Study Small Vessel Disease and Blood–Brain Barrier Integrity

et al. 2017

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“…With large multi-faceted datasets, we shall also test the hypothesis that hierarchical complexity is related to intelligence. Furthermore, we shall explore global and tier-based hierarchical complexity in diseases such as lupus (Stevens et al., 2011), small vessel disease (Valdés Hernández et al., 2017b) and multiple sclerosis (Mollison et al., 2017). In these, multiple lesions and pathological features can be observed across the brain.…”

Section: Discussionmentioning

confidence: 99%

Hierarchical complexity of the adult human structural connectome

et al. 2019

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The structural network of the human brain has a rich topology which many have sought to characterise using standard network science measures and concepts. However, this characterisation remains incomplete and the non-obvious features of this topology have largely confounded attempts towards comprehensive constructive modelling. This calls for new perspectives. Hierarchical complexity is an emerging paradigm of complex network topology based on the observation that complex systems are composed of hierarchies within which the roles of hierarchically equivalent nodes display highly variable connectivity patterns. Here we test the hierarchical complexity of the human structural connectomes of a group of seventy-nine healthy adults. Binary connectomes are found to be more hierarchically complex than three benchmark random network models. This provides a new key description of brain structure, revealing a rich diversity of connectivity patterns within hierarchically equivalent nodes. Dividing the connectomes into four tiers based on degree magnitudes indicates that the most complex nodes are neither those with the highest nor lowest degrees but are instead found in the middle tiers. Spatial mapping of the brain regions in each hierarchical tier reveals consistency with the current anatomical, functional and neuropsychological knowledge of the human brain. The most complex tier (Tier 3) involves regions believed to bridge high-order cognitive (Tier 1) and low-order sensorimotor processing (Tier 2). We then show that such diversity of connectivity patterns aligns with the diversity of functional roles played out across the brain, demonstrating that hierarchical complexity can characterise functional diversity strictly from the network topology.

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“…Indeed the symmetry of features such as WMH is such that in some situations (e.g. where a discrete infarct in the contralateral hemisphere makes differentiation of the WMH difficult for image processing) it is reasonable to assess one hemisphere only and double it as a proxy for disease load in the whole brain (Valdés Hernández et al, 2016).…”

Section: Cerebrovascular Disease Impacting the Visual Pathwaymentioning

confidence: 99%

Lateral thinking – Interocular symmetry and asymmetry in neurovascular patterning, in health and disease

Cameron

Megaw

Tatham

et al. 2017

Progress in Retinal and Eye Research

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No biological system or structure is likely to be perfectly symmetrical, or have identical right and left forms. This review explores the evidence for eye and visual pathway asymmetry, in health and in disease, and attempts to provide guidance for those studying the structure and function of the visual system, where recognition of symmetry or asymmetry may be essential. The principal question with regards to asymmetry is not 'are the eyes the same?', for some degree of asymmetry is pervasive, but 'when are they importantly different?'. Knowing if right and left eyes are 'importantly different' could have significant consequences for deciding whether right or left eyes are included in an analysis or for examining the association between a phenotype and ocular parameter. The presence of significant asymmetry would also have important implications for the design of normative databases of retinal and optic nerve metrics. In this review, we highlight not only the universal presence of asymmetry, but provide evidence that some elements of the visual system are inherently more asymmetric than others, pointing to the need for improved normative data to explain sources of asymmetry and their impact on determining associations with genetic, environmental or health-related factors and ultimately in clinical practice.

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Interhemispheric characterization of small vessel disease imaging markers after subcortical infarct

Cited by 8 publications

References 50 publications

Application of Texture Analysis to Study Small Vessel Disease and Blood–Brain Barrier Integrity

Application of Texture Analysis to Study Small Vessel Disease and Blood–Brain Barrier Integrity

Hierarchical complexity of the adult human structural connectome

Lateral thinking – Interocular symmetry and asymmetry in neurovascular patterning, in health and disease

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