Age-related changes in topological efficiency of large-scale brain functional networks during encoding and recognition tasks

NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S55
Author(s):  
L. Wang ◽  
YF. Li ◽  
T.S. Woodward ◽  
Y. He
2017 ◽  
Author(s):  
Shruti G. Vij ◽  
Jason S. Nomi ◽  
Dina R. Dajani ◽  
Lucina Q. Uddin

AbstractDevelopment and aging are associated with functional changes in the brain across the lifespan. These changes can be detected in spatial and temporal features of resting state functional MRI (rs-fMRI) data. Independent vector analysis (IVA) is a whole-brain multivariate approach that can be used to comprehensively assess these changes in spatial and temporal features. We present a multi-dimensional approach to assessing age-related changes in spatial and temporal features of statistically independent components identified by IVA in a cross-sectional lifespan sample (ages 6-85 years). We show that while large-scale brain network configurations remain consistent throughout the lifespan, changes continue to occur in both local organization and in the spectral composition of these functional networks. We show that the spatial extent of functional networks decreases with age, but with no significant change in the peak functional loci of these networks. Additionally, we show differential age-related patterns across the frequency spectrum; lower frequency correlations decrease across the lifespan whereas higher-frequency correlations increase. These changes indicate an increasing stability of networks with age. In addition to replicating results from previous studies, the current results uncover new aspects of functional brain network changes across the lifespan that are frequency band-dependent.


NeuroImage ◽  
2009 ◽  
Vol 44 (3) ◽  
pp. 715-723 ◽  
Author(s):  
David Meunier ◽  
Sophie Achard ◽  
Alexa Morcom ◽  
Ed Bullmore

2012 ◽  
Vol 32 (37) ◽  
pp. 12832-12840 ◽  
Author(s):  
M. S. Schroter ◽  
V. I. Spoormaker ◽  
A. Schorer ◽  
A. Wohlschlager ◽  
M. Czisch ◽  
...  

NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S119
Author(s):  
Y. Marsolais ◽  
V. Perlbarg ◽  
H. Benali ◽  
Y. Joanette

PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e80214 ◽  
Author(s):  
Zude Zhu ◽  
Yuanyuan Fan ◽  
Gangyi Feng ◽  
Ruiwang Huang ◽  
Suiping Wang

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 480-480
Author(s):  
Serena Sabatini ◽  
Obioha Ukoumunne ◽  
Clive Ballard ◽  
Manfred Diehl ◽  
Hans-Werner Wahl ◽  
...  

Abstract Higher awareness of negative age-related changes (AARC-losses) is related to poorer mental and physical health whereas higher awareness of positive age-related changes (AARC-gains) is related to better mental health. Associations of health with AARC-gains and losses have been explored separately, but often people experience gains and losses concurrently. Using latent profile analysis, we identified at the cross-sectional level patterns of AARC-gains and losses and explored whether groups with distinct profiles of AARC-gains and losses differed in physical, mental, and cognitive health, and demographic characteristics. Analyses were based on the large-scale PROTECT study conducted in the UK (N= 6,192; mean age= 66.10(SD= 7.04); 76% women). A four-group solution revealed the best model fit (Akaike’s information criterion= 156,061.93; Bayesian information criterion= 156,418.67); 45% of participants perceived many AARC-gains and few losses (Group 1); 24% of participants perceived moderate AARC-gains and few losses (Group 2); 24% of participants perceived many AARC-gains and moderate losses (Group 3); and 7% of participants perceived many AARC-gains and many losses (Group 4). The four groups differed meaningfully in health; Group 1 was the most healthy, followed by Groups 2, 3 and 4. Participants in Group 1 were most likely to perceive their health as excellent, reported the lowest levels of depression and anxiety, and showed the best cognitive performance. On average participants in Group 1 were younger, and more likely to be female, employed, and married, compared to other groups. Considering the co-existence of gains and losses is important when relating awareness of age-related changes to health.


2013 ◽  
Vol 83 (1) ◽  
pp. 121-131 ◽  
Author(s):  
Shaowen Qian ◽  
Gang Sun ◽  
Qingjun Jiang ◽  
Kai Liu ◽  
Bo Li ◽  
...  

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