Regional gray matter volume in the presupplementary motor area predicts individual differences on executive function capacity as a crash risk factor in elderly drivers

2011 ◽  
Vol 71 ◽  
pp. e389
Author(s):  
Hiroyuki Sakai ◽  
Miwa Takahara ◽  
Naomi F. Hojo ◽  
Takayuki Imanishi ◽  
Shun’ichi Doi ◽  
...  
PLoS ONE ◽  
2012 ◽  
Vol 7 (9) ◽  
pp. e45920 ◽  
Author(s):  
Hiroyuki Sakai ◽  
Miwa Takahara ◽  
Naomi F. Honjo ◽  
Shun'ichi Doi ◽  
Norihiro Sadato ◽  
...  

2019 ◽  
Vol 75 (6) ◽  
pp. 1219-1229 ◽  
Author(s):  
Kelly Cotton ◽  
Joe Verghese ◽  
Helena M Blumen

Abstract Objective We examined the neural substrates of social support in older adults. Social support is associated with better outcomes in many facets of aging—including cognitive and functional health—but the underlying neural substrates remain largely unexplored. Methods Voxel-based morphometry and multivariate statistics were used to identify gray matter volume covariance networks associated with social support in 112 older adults without dementia (M age = 74.6 years, 50% female), using the Medical Outcomes Study Social Support Survey. Results A gray matter network associated with overall social support was identified and included prefrontal, hippocampal, amygdala, cingulate, and thalamic regions. A gray matter network specifically associated with tangible social support (e.g., someone to help you if you were confined to bed) was also identified, included prefrontal, hippocampal, cingulate, insular, and thalamic regions, and correlated with memory and executive function. Discussion Gray matter networks associated with overall and tangible social support in this study were composed of regions previously associated with memory, executive function, aging, and dementia. Longitudinal research of the interrelationships between social support, brain structure, and cognition is needed, but strengthening social support may represent a new path toward improving cognition in aging that should be explored.


2018 ◽  
Vol 13 (5) ◽  
pp. 1468-1473 ◽  
Author(s):  
Xiaowan Wang ◽  
Chris Baeken ◽  
Mengxia Fang ◽  
Jiang Qiu ◽  
Hong Chen ◽  
...  

Neuroscience ◽  
2018 ◽  
Vol 380 ◽  
pp. 123-131 ◽  
Author(s):  
Katherine R. Sherrill ◽  
Elizabeth R. Chrastil ◽  
Irem Aselcioglu ◽  
Michael E. Hasselmo ◽  
Chantal E. Stern

2016 ◽  
Vol 26 (4) ◽  
pp. 450-457 ◽  
Author(s):  
Diogo Goulart Corrêa ◽  
Nicolle Zimmermann ◽  
Tania Maria Netto ◽  
Gustavo Tukamoto ◽  
Nina Ventura ◽  
...  

2012 ◽  
Vol 12 (3) ◽  
pp. 491-498 ◽  
Author(s):  
Paola Fuentes ◽  
Alfonso Barrós-Loscertales ◽  
Juan Carlos Bustamante ◽  
Patricia Rosell ◽  
Víctor Costumero ◽  
...  

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Yujun Qian ◽  
Ke Zheng ◽  
Tianye Lin ◽  
Feng Feng ◽  
Fei Han ◽  
...  

Abstract Background and Aims Cognitive impairment (CI) are prevalent and devastating in dialysis patients, whereas the pathophysiology is not very clear. Brain atrophy may involve in the process of CI. To explore the correlation between brain atrophy and cognitive impairment, as well as the risk factors of brain atrophy, we used the voxel based morphometry (VBM) method to evaluate the changes of brain multi-component volume in maintenance dialysis patients, and analyzed it relationship with detailed cognitive function. Method From July 2013 to July 2014, 181 maintenance dialysis patients in our hospital were enrolled for 3.0T MRI examination and cognitive function evaluation. The statistical parameter map (SPM) 8 software package was used for VBM analysis, and the Monte Carlo simulation method (alphasim method) in the functional neural image analysis software package (AFNI) was used for multiple comparison correction at the cluster level to extract the volume of brain multi-component. Cognitive function was evaluated with MMSE, MoCA, Philadelphia word learning test, Boston Naming Test, semantic fluency test and trial making test. The risk factors for brain volume were explored, and the correlation between brain volume and CI was investigated by regression analysis. Results This study enrolled 181 dialysis patients, including 119 cases of maintenance hemodialysis and 62 cases of peritoneal dialysis. According to MMSE and MoCA, the incidence of cognitive impairment was 22.7% and 66.3% respectively. The mean values gray matter volume and white matter volume were 575.4mm3 and 457.8mm3, respectively. The volume of gray matter, white matter, amygdala, caudate nucleus and hippocampus were positively correlated with the scores of specific cognitive functions such as total, memory, language and execution. Among them, amygdala volume atrophy was significantly related to the decrease of cognitive function such as MMSE (β = 2.81, P = 0.005), MoCA (β = 6.26, P < 0.001). Serum albumin is the risk factor of gray matter volume (β = 5.0, 95% CI = 3.1 to 6.9, P < 0.001) and white matter volume (β = 3.6, 95% CI = 1.7 to 5.5, P < 0.001); Serum Hypersensitive C-reactive protein is the risk factor of gray matter volume (β = -0.9, 95% CI = -1.7 to - 0.1, P = 0.037). Conclusion Brain atrophy in maintenance dialysis patients is closely related to multiple cognitive impairment, and malnutrition - microinflammation may be a risk factor for multi-component brain atrophy.


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