scholarly journals Structural network connectivity and cognition in cerebral small vessel disease

2015 ◽  
Vol 37 (1) ◽  
pp. 300-310 ◽  
Author(s):  
Anil M. Tuladhar ◽  
Ewoud van Dijk ◽  
Marcel P. Zwiers ◽  
Anouk G.W. van Norden ◽  
Karlijn F. de Laat ◽  
...  
Keyword(s):  
Small Vessel Disease ◽  
Network Connectivity ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Vessel Disease ◽  
Structural Network

scholarly journals Neuroimaging studies on cognitive impairment due to cerebral small vessel disease

2019 ◽  
Vol 4 (2) ◽  
pp. 99-101 ◽  
Author(s):  
Jing Du ◽  
Qun Xu
Keyword(s):  
Cognitive Impairment ◽  
Small Vessel Disease ◽  
Underlying Mechanism ◽  
Brain Network ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Vessel Disease ◽  
Age Related ◽  
Functional Brain Network ◽  
Structural Network

Vascular cognitive impairment (VCI) is a major contributor to age-related dementing illnesses which imposes a tremendous burden on families and society. It is a heterogeneous group of brain disorders. However, cerebral small vessel disease (CSVD) accounts for about 50%–70% of VCI, which represented a more homogeneous subtype of VCI. Advanced multimodal neuroimaging techniques like brain network connectome analyses are currently applied to explore the underlying mechanism of VCI. Some progress in the field of structural and functional brain network researches on a poststroke longitudinal CSVD cohort (Renji CSVD Cohort Study) was reported. Global and regional brain network characters were compared between patients with CSVD and healthy control. It suggested that distributed brain structural network disruption may play a pivot role in the cognitive decline. The results showed that brain structural network characters have distinctive differentiating capacity on the cognition of patients with CSVD.

scholarly journals Longitudinal decline in structural networks predicts dementia in cerebral small vessel disease

Neurology ◽  
2018 ◽  
Vol 90 (21) ◽  
pp. e1898-e1910 ◽  
Author(s):  
Andrew J. Lawrence ◽  
Eva A. Zeestraten ◽  
Philip Benjamin ◽  
Christian P. Lambert ◽  
Robin G. Morris ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Vessel Disease ◽  
Conventional Mri ◽  
Global Efficiency ◽  
Structural Network ◽  
Structural Networks ◽  
Network Disruption

ObjectiveTo determine whether longitudinal change in white matter structural network integrity predicts dementia and future cognitive decline in cerebral small vessel disease (SVD). To investigate whether network disruption has a causal role in cognitive decline and mediates the association between conventional MRI markers of SVD with both cognitive decline and dementia.MethodsIn the prospective longitudinal SCANS (St George's Cognition and Neuroimaging in Stroke) Study, 97 dementia-free individuals with symptomatic lacunar stroke were followed with annual MRI for 3 years and annual cognitive assessment for 5 years. Conversion to dementia was recorded. Structural networks were constructed from diffusion tractography using a longitudinal registration pipeline, and network global efficiency was calculated. Linear mixed-effects regression was used to assess change over time.ResultsSeventeen individuals (17.5%) converted to dementia, and significant decline in global cognition occurred (p = 0.0016). Structural network measures declined over the 3-year MRI follow-up, but the degree of change varied markedly between individuals. The degree of reductions in network global efficiency was associated with conversion to dementia (B = −2.35, odds ratio = 0.095, p = 0.00056). Change in network global efficiency mediated much of the association of conventional MRI markers of SVD with cognitive decline and progression to dementia.ConclusionsNetwork disruption has a central role in the pathogenesis of cognitive decline and dementia in SVD. It may be a useful disease marker to identify that subgroup of patients with SVD who progress to dementia.

scholarly journals Structural network efficiency predicts cognitive decline in cerebral small vessel disease

2020 ◽  
Vol 27 ◽  
pp. 102325
Author(s):  
Esther M. Boot ◽  
Esther MC van Leijsen ◽  
Mayra I. Bergkamp ◽  
Roy P.C. Kessels ◽  
David G. Norris ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Network Efficiency ◽  
Vessel Disease ◽  
Structural Network

scholarly journals Structural network changes in cerebral small vessel disease

2019 ◽  
Vol 91 (2) ◽  
pp. 196-203 ◽  
Author(s):  
Anil M Tuladhar ◽  
Jonathan Tay ◽  
Esther van Leijsen ◽  
Andrew J Lawrence ◽  
Ingeborg Wilhelmina Maria van Uden ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Psychomotor Speed ◽  
Network Efficiency ◽  
Vessel Disease ◽  
Global Efficiency ◽  
Structural Network ◽  
Imaging Markers

ObjectivesTo investigate whether longitudinal structural network efficiency is associated with cognitive decline and whether baseline network efficiency predicts mortality in cerebral small vessel disease (SVD).MethodsA prospective, single-centre cohort consisting of 277 non-demented individuals with SVD was conducted. In 2011 and 2015, all participants were scanned with MRI and underwent neuropsychological assessment. We computed network properties using graph theory from probabilistic tractography and calculated changes in psychomotor speed and overall cognitive index. Multiple linear regressions were performed, while adjusting for potential confounders. We divided the group into mild-to-moderate white matter hyperintensities (WMH) and severe WMH group based on median split on WMH volume.ResultsThe decline in global efficiency was significantly associated with a decline in psychomotor speed in the group with severe WMH (β=0.18, p=0.03) and a trend with change in cognitive index (β=0.14, p=0.068), which diminished after adjusting for imaging markers for SVD. Baseline global efficiency was associated with all-cause mortality (HR per decrease of 1 SD 0.43, 95% CI 0.23 to 0.80, p=0.008, C-statistic 0.76).ConclusionDisruption of the network efficiency, a metric assessing the efficiency of network information transfer, plays an important role in explaining cognitive decline in SVD, which was however not independent of imaging markers of SVD. Furthermore, baseline network efficiency predicts risk of mortality in SVD that may reflect the global health status of the brain in SVD. This emphasises the importance of structural network analysis in the context of SVD research and the use of network measures as surrogate markers in research setting.

scholarly journals Cerebral small vessel disease or intracranial large vessel atherosclerosis may carry different risk for future strokes

2020 ◽  
Vol 5 (2) ◽  
pp. 128-137
Author(s):  
Huimin Chen ◽  
Yuesong Pan ◽  
Lixia Zong ◽  
Jing Jing ◽  
Xia Meng ◽  
...  
Keyword(s):  
Regression Models ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Arterial Stenosis ◽  
Small Vessel ◽  
Minor Stroke ◽  
Bleeding Events ◽  
Stroke Outcomes ◽  
Vessel Disease ◽  
Increased Risk

BackgroundThe effect of cerebral small vessel disease (CSVD) and intracranial arterial stenosis (ICAS) on stroke outcomes remains unclear.MethodsData of 1045 patients with minor stroke or transient ischaemic attack (TIA) were obtained from 45 sites of the Clopidogrel in High-Risk Patients with Acute Non-disabling Cerebrovascular Events (CHANCE) trial. We assessed the associations of burdens of CSVD and ICAS with new strokes and bleeding events using multivariate Cox regression models and those with modified Rankin Scale (mRS) scores using ordinal logistic regression models.ResultsAmong the 1045 patients, CSVD was present in 830 cases (79.4%) and ICAS in 460 (44.0%). Patients with >1 ICAS segment showed the highest risk of new strokes (HR 2.03, 95% CI 1.15 to 3.56, p=0.01). No association between CSVD and the occurrence of new strokes was found. The presence of severe CSVD (common OR (cOR) 2.01, 95% CI 1.40 to 2.89, p<0.001) and >1 ICAS segment (cOR 2.15, 95% CI 1.57 to 2.93, p<0.001) was associated with higher mRS scores. Severe CSVD (HR 10.70, 95% CI 1.16 to 99.04, p=0.04), but not ICAS, was associated with a higher risk of bleeding events. Six-point modified CSVD score improved the predictive power for bleeding events and disability.InterpretationCSVD is associated with more disability and bleeding events, and ICAS is associated with an increased risk of stroke and disability in patients with minor stroke and TIA at 3 months. CSVD and ICAS may represent different vascular pathologies and play distinct roles in stroke outcomes.Trial registration numberNCT00979589

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