Brain network hubs and cognitive performance of survivors of childhood infratentorial tumors

Author(s):  
Charlotte Sleurs ◽  
Sandra Jacobs ◽  
Serena J. Counsell ◽  
Daan Christiaens ◽  
J-Donald Tournier ◽  
...  
2019 ◽  
Author(s):  
Kamen A. Tsvetanov ◽  
Stefano Gazzina ◽  
Simon P. Jones ◽  
John van Swieten ◽  
Barbara Borroni ◽  
...  

AbstractINTRODUCTIONThe presymptomatic phase of neurodegenerative disease can last many years, with sustained cognitive function despite progressive atrophy. We investigate this phenomenon in familial Frontotemporal dementia (FTD).METHODSWe studied 121 presymptomatic FTD mutation carriers and 134 family members without mutations, using multivariate data-driven approach to link cognitive performance with both structural and functional magnetic resonance imaging. Atrophy and brain network connectivity were compared between groups, in relation to the time from expected symptom onset.RESULTSThere were group differences in brain structure and function, in the absence of differences in cognitive performance. Specifically, we identified behaviourally-relevant structural and functional network differences. Structure-function relationships were similar in both groups, but coupling between functional connectivity and cognition was stronger for carriers than for non-carriers, and increased with proximity to the expected onset of disease.DISCUSSIONOur findings suggest that maintenance of functional network connectivity enables carriers to maintain cognitive performance.


2021 ◽  
Author(s):  
Heidi Foo ◽  
Anbupalam Thalamuthu ◽  
Jiyang Jiang ◽  
Forrest C Koch ◽  
Karen Mather ◽  
...  

Age and sex have been associated with changes in functional brain network topology, which may in turn affect cognition in older adults. We explored this question further by examining differences in 11 resting-state graph theory measures with respect to age, sex, and their relationships with cognitive performance in 17,127 UK Biobank participants. Age was associated with an overall decrease in the effectiveness of network communication (i.e. integration) and loss of functional specialisation (i.e. segregation) of specific brain regions. Sex differences were also observed, with women showing more efficient networks which were less segregated than in men. Age-related changes were also more apparent in men than women, which suggests that men may be more vulnerable to cognitive decline with age. Interestingly, while network segregation and strength of limbic network were only nominally associated with cognitive performance, the network measures collectively were significantly associated with cognition. This may imply that individual measures may be inadequate to capture much of the variance in neural activity or its output and need further refinement.


2019 ◽  
Vol 110 ◽  
pp. 51-56 ◽  
Author(s):  
Kimberly M. Albert ◽  
Guy G. Potter ◽  
Brian D. Boyd ◽  
Hakmook Kang ◽  
Warren D. Taylor

2020 ◽  
Vol 4 (1) ◽  
pp. 89-114 ◽  
Author(s):  
Tania S. Kong ◽  
Caterina Gratton ◽  
Kathy A. Low ◽  
Chin Hong Tan ◽  
Antonio M. Chiarelli ◽  
...  

Age-related declines in cognition are associated with widespread structural and functional brain changes, including changes in resting-state functional connectivity and gray and white matter status. Recently we have shown that the elasticity of cerebral arteries also explains some of the variance in cognitive and brain health in aging. Here, we investigated how network segregation, cerebral arterial elasticity (measured with pulse-DOT—the arterial pulse based on diffuse optical tomography) and gray and white matter status jointly account for age-related differences in cognitive performance. We hypothesized that at least some of the variance in brain and cognitive aging is linked to reduced cerebrovascular elasticity, leading to increased cortical atrophy and white matter abnormalities, which, in turn, are linked to reduced network segregation and decreases in cognitive performance. Pairwise comparisons between these variables are consistent with an exploratory hierarchical model linking them, especially when focusing on association network segregation (compared with segregation in sensorimotor networks). These findings suggest that preventing or slowing age-related changes in one or more of these factors may induce a neurophysiological cascade beneficial for preserving cognition in aging.


2014 ◽  
Vol 86 ◽  
pp. 10-16 ◽  
Author(s):  
Fang Duan ◽  
Katsumi Watanabe ◽  
Yuko Yoshimura ◽  
Mitsuru Kikuchi ◽  
Yoshio Minabe ◽  
...  

2006 ◽  
Vol 2 ◽  
pp. S700-S701
Author(s):  
Jose V. Pardo ◽  
Joel T. Lee ◽  
Sohail A. Sheikh ◽  
Christa Surerus-Johnson ◽  
Kristin R. Munch ◽  
...  

2006 ◽  
Vol 2 ◽  
pp. S354-S354
Author(s):  
Jose V. Pardo ◽  
Joel T. Lee ◽  
Sohail A. Sheikh ◽  
Christa Surerus-Johnson ◽  
Kristin R. Munch ◽  
...  

2021 ◽  
Vol 13 ◽  
Author(s):  
Heidi Foo ◽  
Anbupalam Thalamuthu ◽  
Jiyang Jiang ◽  
Forrest Koch ◽  
Karen A. Mather ◽  
...  

Age and sex associated with changes in the functional brain network topology and cognition in large population of older adults have been poorly understood. We explored this question further by examining differences in 11 resting-state graph theory measures with respect to age, sex, and their relationships with cognitive performance in 17,127 United Kingdom Biobank participants (mean = 62.83 ± 7.41 years). Age was associated with an overall decrease in the effectiveness of network communication (i.e., integration) and loss of functional specialization (i.e., segregation) of specific brain regions. Sex differences were also observed, with women showing more efficient networks, which were less segregated than in men (FDR adjusted p < 0.05). The age-related changes were also more apparent in men than in women, which suggests that men may be more vulnerable to cognitive decline with age. Interestingly, while network segregation and strength of limbic network were only nominally associated with cognitive performance, the network measures collectively were significantly associated with cognition (FDR adjusted p ≤ 0.002). This may imply that individual measures may be inadequate to capture much of the variance in the neural activity or its output and need further refinement. The complexity of the organization of the functional brain may be shaped by the age and sex of an individual, which ultimately may influence the cognitive performance of older adults. Age and sex stratification may be used to inform clinical neuroscience research to identify older adults at risk of cognitive dysfunction.


Sign in / Sign up

Export Citation Format

Share Document