scholarly journals Effects of Aging on Frontal White Matter Microstructure in Alcohol Use Disorder and Associations With Processing Speed

2015 ◽  
Vol 76 (2) ◽  
pp. 296-306 ◽  
Author(s):  
Scott F. Sorg ◽  
Lindsay M. Squeglia ◽  
Michael J. Taylor ◽  
Omar M. Alhassoon ◽  
Lisa M. Delano-Wood ◽  
...  
2018 ◽  
Vol 42 (5) ◽  
pp. 889-896 ◽  
Author(s):  
Evgeny J. Chumin ◽  
Joaquín Goñi ◽  
Meredith E. Halcomb ◽  
Timothy C. Durazzo ◽  
Mario Dzemidzic ◽  
...  

2020 ◽  
Vol 25 ◽  
pp. 102141 ◽  
Author(s):  
Chiara Crespi ◽  
Caterina Galandra ◽  
Nicola Canessa ◽  
Marina Manera ◽  
Paolo Poggi ◽  
...  

2014 ◽  
Vol 53 ◽  
pp. 137-145 ◽  
Author(s):  
Brittany G. Travers ◽  
Erin D. Bigler ◽  
Do P.M. Tromp ◽  
Nagesh Adluru ◽  
Alyson L. Froehlich ◽  
...  

2022 ◽  
Author(s):  
Shuyue Wang ◽  
Fan Zhang ◽  
Peiyu Huang ◽  
Hui Hong ◽  
Yeerfan Jiaerken ◽  
...  

White matter hyperintensities (WMH) are a typical feature of cerebral small vessel disease (CSVD). This condition contributes to about 50% of dementias worldwide, a massive health burden in aging. Microstructural alterations in the deep white matter (DWM) have been widely examined in CSVD. However, little is known about abnormalities in the superficial white matter (SWM) and their relevance for processing speed, the main cognitive deficit in CSVD. In this paper, 141 patients with CSVD were studied. Processing speed was assessed by the completion time of the Trail Making Test Part A. White matter abnormalities were assessed by WMH burden (lesion volume on T2-FLAIR) and diffusion MRI, including DTI and free-water (FW) imaging microstructure measures. The results of our study indicate that the superficial white matter may play a particularly important role in cognitive decline in CSVD. SWM imaging measures resulted in a large contribution to processing speed, despite a relatively small WMH burden in the SWM. SWM FW had the strongest association with processing speed among all imaging markers and, unlike the other diffusion MRI measures, significantly increased between two patient subgroups with the lowest WMH burdens (possibly representing early stages of disease). When comparing two patient subgroups with the highest WMH burdens, the involvement of WMH in the SWM was accompanied by significant differences in processing speed and white matter microstructure. Given significant effects of WMH volume and regional FW on processing speed, we performed a mediation analysis. SWM FW was found to fully mediate the association between WMH volume and processing speed, while no mediation effect of DWM FW was observed. Overall, our findings identify SWM abnormalities in CSVD and suggest that the SWM has an important contribution to processing speed. Results indicate that FW in the SWM is a sensitive marker of microstructural changes associated with cognition in CSVD. This study extends the current understanding of CSVD-related dysfunction and suggests that the SWM, as an understudied region, can be a potential target for monitoring pathophysiological processes in future research.


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