Functional network efficiency driving the association between cerebral small vessel disease and cognitive performance

2019 ◽  
Vol 405 ◽  
pp. 368-369
Author(s):  
H. Chen ◽  
Y. Xu
Neurology ◽  
2020 ◽  
pp. 10.1212/WNL.0000000000011050
Author(s):  
Marco Pasi ◽  
Lansing Sugita ◽  
Li Xiong ◽  
Andreas Charidimou ◽  
Gregoire Boulouis ◽  
...  

Objective:We sought to determine whether MRI-based Cerebral Small Vessel Disease (CSVD) burden assessment, in addition to clinical and CT data, improved prediction of cognitive impairment after spontaneous Intracerebral Hemorrhage (ICH).Methods:We analyzed data from ICH survivors enrolled in a single-center prospective study. We employed three validated CSVD burden scores: global, cerebral amyloid angiopathy (CAA)-specific, hypertensive arteriopathy (HTNA)-specific. We quantified cognitive performance by administering the modified Telephone Interview for Cognitive Status (TICS-m) test. We utilized linear mixed models to model cognitive decline rates, and survival models for new-onset dementia. We calculated CSVD scores’ cut-offs to maximize predictive performance for dementia diagnosis.Results:We enrolled 612 ICH survivors, and followed them for a median of 46.3 months (Inter-Quartile Range: 35.5-58.7). A total of 214/612 (35%) participants developed dementia. Higher global CSVD scores at baseline were associated with faster cognitive decline (Coeff -0.25, Standard Error [SE] 0.02) and dementia risk (Sub-Hazard Ratio 1.35, 95% CI 1.10-1.65). The global score outperformed the CAA and HTNA scores in predicting post-ICH dementia (all p<0.05). Compared to a model including readily available clinical and CT data, inclusion of the global CSVD score resulted in improved prediction of post-ICH dementia (Area Under the Curve [AUC] 0.89, SE 0.02 vs. AUC 0.81, SE 0.03, p = 0.008 for comparison). Global CSVD scores ≥ 2 had highest sensitivity (83%) and specificity (91%) for dementia diagnosis.Conclusions:A validated MRI-based CSVD score is associated with cognitive performance after ICH, and improved diagnostic accuracy for predicting new onset of dementia.


Brain ◽  
2020 ◽  
Vol 143 (2) ◽  
pp. 622-634 ◽  
Author(s):  
Valentina Perosa ◽  
Anastasia Priester ◽  
Gabriel Ziegler ◽  
Arturo Cardenas-Blanco ◽  
Laura Dobisch ◽  
...  

Abstract Medial temporal lobe dependent cognitive functions are highly vulnerable to hypoxia in the hippocampal region, yet little is known about the relationship between the richness of hippocampal vascular supply and cognition. Hippocampal vascularization patterns have been categorized into a mixed supply from both the posterior cerebral artery and the anterior choroidal artery or a single supply by the posterior cerebral artery only. Hippocampal arteries are small and affected by pathological changes when cerebral small vessel disease is present. We hypothesized, that hippocampal vascularization patterns may be important trait markers for vascular reserve and modulate (i) cognitive performance; (ii) structural hippocampal integrity; and (iii) the effect of cerebral small vessel disease on cognition. Using high-resolution 7 T time-of-flight angiography we manually classified hippocampal vascularization patterns in older adults with and without cerebral small vessel disease in vivo. The presence of a mixed supplied hippocampus was an advantage in several cognitive domains, including verbal list learning and global cognition. A mixed supplied hippocampus also was an advantage for verbal memory performance in cerebral small vessel disease. Voxel-based morphometry showed higher anterior hippocampal grey matter volume in mixed, compared to single supply. We discuss that a mixed hippocampal supply, as opposed to a single one, may increase the reliability of hippocampal blood supply and thereby provide a hippocampal vascular reserve that protects against cognitive impairment.


2020 ◽  
Vol 27 ◽  
pp. 102325
Author(s):  
Esther M. Boot ◽  
Esther MC van Leijsen ◽  
Mayra I. Bergkamp ◽  
Roy P.C. Kessels ◽  
David G. Norris ◽  
...  

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 ◽  
...  

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.


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