scholarly journals Gray Matter Volume Correlates of Sleepiness: A Voxel-Based Morphometry Study in Younger and Older Adults

2020 ◽  
Vol Volume 12 ◽  
pp. 289-298
Author(s):  
Torbjörn Åkerstedt ◽  
Mats Lekander ◽  
Gustav Nilsonne ◽  
Sandra Tamm ◽  
Paolo d'Onofrio ◽  
...  
SLEEP ◽  
2018 ◽  
Vol 41 (suppl_1) ◽  
pp. A58-A58
Author(s):  
T Akerstedt ◽  
M Lekander ◽  
G Nilsonne ◽  
S Tamm ◽  
P d’Onofrio ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Yoko Shigemoto ◽  
Daichi Sone ◽  
Miho Ota ◽  
Norihide Maikusa ◽  
Masayo Ogawa ◽  
...  

2021 ◽  
pp. 1-10
Author(s):  
Hidemasa Takao ◽  
Shiori Amemiya ◽  
Osamu Abe ◽  

Background: Scan acceleration techniques, such as parallel imaging, can reduce scan times, but reliability is essential to implement these techniques in neuroimaging. Objective: To evaluate the reproducibility of the longitudinal changes in brain morphology determined by longitudinal voxel-based morphometry (VBM) between non-accelerated and accelerated magnetic resonance images (MRI) in normal aging, mild cognitive impairment (MCI), and Alzheimer’s disease (AD). Methods: Using data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) 2 database, comprising subjects who underwent non-accelerated and accelerated structural T1-weighted MRI at screening and at a 2-year follow-up on 3.0 T Philips scanners, we examined the reproducibility of longitudinal gray matter volume changes determined by longitudinal VBM processing between non-accelerated and accelerated imaging in 50 healthy elderly subjects, 54 MCI patients, and eight AD patients. Results: The intraclass correlation coefficient (ICC) maps differed among the three groups. The mean ICC was 0.72 overall (healthy elderly, 0.63; MCI, 0.75; AD, 0.63), and the ICC was good to excellent (0.6–1.0) for 81.4%of voxels (healthy elderly, 64.8%; MCI, 85.0%; AD, 65.0%). The differences in image quality (head motion) were not significant (Kruskal–Wallis test, p = 0.18) and the within-subject standard deviations of longitudinal gray matter volume changes were similar among the groups. Conclusion: The results indicate that the reproducibility of longitudinal gray matter volume changes determined by VBM between non-accelerated and accelerated MRI is good to excellent for many regions but may vary between diseases and regions.


2021 ◽  
pp. 100326
Author(s):  
Kuaikuai Duan ◽  
Enrico Premi ◽  
Andrea Pilotto ◽  
Viviana Cristillo ◽  
Alberto Benussi ◽  
...  

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.


2008 ◽  
Vol 63 (5) ◽  
pp. 465-474 ◽  
Author(s):  
Robyn A. Honea ◽  
Andreas Meyer-Lindenberg ◽  
Katherine B. Hobbs ◽  
Lukas Pezawas ◽  
Venkata S. Mattay ◽  
...  

2005 ◽  
Vol 22 (8) ◽  
pp. 2089-2094 ◽  
Author(s):  
Hanik K. Yoo ◽  
Minue J. Kim ◽  
Seog Ju Kim ◽  
Young Hoon Sung ◽  
Minyoung E. Sim ◽  
...  

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000013215
Author(s):  
Tiing Yee Siow ◽  
Cheng Hong Toh ◽  
Jung-Lung Hsu ◽  
Geng-Hao Liu ◽  
Shwu-Hua Lee ◽  
...  

Background and Objectives:The glymphatic system, which is robustly enabled during some stages of sleep, is a fluid-transport pathway that clears cerebral waste products. Most contemporary knowledge regarding glymphatic system is inferred from rodent experiments and human research is limited. The objective of the research is to explore the associations between human glymphatic function, sleep, neuropsychological performances, and cerebral gray matter volumes.Methods:This cross-sectional study included individuals 60 years or older who had participated in the Integrating Systemic Data of Geriatric Medicine to Explore the Solution for Health Aging study between September 2019 and October 2020. Community-dwelling older adults were enrolled at 2 different sites. Participants with dementia, major depressive disorders, and other major organ system abnormalities were excluded. Sleep profile was accessed using questionnaires and polysomnography. Administered neuropsychological test batteries included Everyday Cognition (ECog) and the Consortium to Establish a Registry for Alzheimer’s Disease Neuropsychological Battery (CERAD-NB). Gray matter volumes were estimated based on magnetic resonance imaging (MRI). Diffusion tensor imaging-analysis along the perivascular space (DTI-ALPS) index was used as the MRI marker of glymphatic function.Results:A total of 84 participants (mean [SD] age, 73.3 [7.1] years, 47 [56.0%] women) were analyzed. Multivariate linear regression model determined that age (unstandardized β, -0.0025 [SE, 0.0001]; P = 0.02), N2 sleep duration (unstandardized β, 0.0002 [SE, 0.0001]; P = 0.04), and the apnea-hypopnea index (unstandardized β, -0.0011 [SE, 0.0005]; P = 0.03) were independently associated with DTI-ALPS. Higher DTI-ALPS was associated with better ECog language scores (unstandardized β, -0.59 [SE, 0.28]; P = 0.04) and better CERAD-NB word-list-learning delayed recall subtest scores (unstandardized β, 6.17 [SE, 2.31]; P = 0.009) after co-varying for age and education. Higher DTI-ALPS was also associated with higher gray matter volume (unstandardized β, 107.00 [SE, 43.65]; P = 0.02) after controlling for age, gender, and total intracranial volume.Discussion:Significant associations were identified between glymphatic function and sleep stressing the importance of sleep for brain health. This study also revealed associations between DTI-ALPS, neuropsychological performances, and cerebral gray matter volumes suggesting the potential of DTI-ALPS as a biomarker for cognitive disorders.


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