scholarly journals Relationship between Regional White Matter Hyperintensities and Alpha Oscillations inb Older Adults

Author(s):  
Deniz Kumral ◽  
Elena Cesnaite ◽  
Frauke Beyer ◽  
Simon M. Hofmann ◽  
Tilman Hensch ◽  
...  
2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 918-918
Author(s):  
Blake Neyland ◽  
Christina Hugenschmidt ◽  
Samuel Lockhart ◽  
Laura Baker ◽  
Suzanne Craft ◽  
...  

Abstract Brain pathologies are increasingly understood to confer mobility risk, but the malleability of functional brain networks may be a mechanism for mobility reserve. In particular, white matter hyperintensities (WMH) are strongly associated with mobility and alter functional network connectivity. To assess the potential role of brain networks as a mechanism of mobility reserve, 116 participants with MRI from the Brain Networks and Mobility Function (B-NET) were categorized into 4 groups based on median splits of SPPB scores and WMH burden: Expected Healthy (EH: low WMH, SPPB>10, N=45), Expected Impaired (EI: high WMH, SPPB10, N=24), Unexpected Impaired (EI: low WMH, SPPB<10, N=10) and Unexpected Unhealthy (UH: low WMH, SPPB<10, N=37). Functional brain networks were calculated using graph theory methods and white matter hyperintensities were quantified with the Lesion Segmentation Toolbox (LST) in SPM12. Somatomotor cortex community structure (SMC-CS) was similar between UH and EH with both having higher consistency than EI and UI. However, UH displayed a unique increase in second-order connections between the motor cortex and the anterior cingulate. It is possible that this increase in connections is a signal of higher reserve or resilience in UH participants and may indicate a mechanism of compensation in regards to mobility function and advanced WMH burden. These data suggest functional brain networks may be a mechanism for mobility resilience in older adults at mobility risk due to WMH burden.


2015 ◽  
Vol 11 (7S_Part_18) ◽  
pp. P836-P836
Author(s):  
Molly E. Zimmerman ◽  
Adam M. Brickman ◽  
Ali Ezzati ◽  
Mindy J. Katz ◽  
Martin J. Sliwinski ◽  
...  

2016 ◽  
pp. glw224 ◽  
Author(s):  
Andrea L. Rosso ◽  
Stephanie A. Studenski ◽  
W. T. Longstreth ◽  
Jennifer S. Brach ◽  
Robert M. Boudreau ◽  
...  

2010 ◽  
Vol 50 (2) ◽  
pp. 127-131 ◽  
Author(s):  
L.R. Williams ◽  
C.E. Hutchinson ◽  
A. Jackson ◽  
M.A. Horan ◽  
M. Jones ◽  
...  

Neurology ◽  
2018 ◽  
Vol 90 (15) ◽  
pp. e1291-e1297 ◽  
Author(s):  
So Young Moon ◽  
Philipe de Souto Barreto ◽  
Yves Rolland ◽  
Marie Chupin ◽  
Ali Bouyahia ◽  
...  

ObjectiveTo evaluate the relationship of white matter hyperintensities (WMH) with decline in lower extremity function (LEF) over approximately 3 years in dementia-free older adults with memory complaints.MethodsWe obtained brain MRI data from 458 community-dwelling adults, aged 70 years or over, at baseline, and from 358 adults over an average follow-up of 963 days. We evaluated LEF using the Short Physical Performance Battery (SPPB). We related baseline WMH volumes and progression to SPPB scores over time, using mixed-effect linear regressions. For the secondary analyses, we categorized baseline WMH volume into quartiles, and dichotomized the WMH progression to compare fast and slow progression.ResultsBaseline WMH volume (β = −0.017, 95% confidence interval [CI] −0.025 to −0.009), as well as WMH progression (β = −0.002, 95% CI −0.003 to −0.001), significantly associated with a decline in SPPB performance in adjusted analyses. Compared with the lowest quartile of baseline WMH volume, the highest quartile associated with a decline in SPPB performance (β = −0.301, 95% CI −0.558 to −0.044). Fast progression also associated with a decline in SPPB performance. We found clinically meaningful differences in the SPPB, with higher scores in participants with slow progression of WMH, at both 24 and 36 months.ConclusionsBaseline level and WMH progression associated with longitudinal decline in SPPB performance among older adults. We detected clinically meaningful differences in SPPB performance on comparing fast with slow progression of WMH, suggesting that speed of WMH progression is an important determinant of LEF during aging.


2021 ◽  
Vol 4 (10) ◽  
pp. e2125166
Author(s):  
Batool Rizvi ◽  
Patrick J. Lao ◽  
Anthony G. Chesebro ◽  
Jordan D. Dworkin ◽  
Erica Amarante ◽  
...  

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