scholarly journals The independent influences of age and education on functional brain networks and cognition in healthy older adults

2017 ◽  
Vol 38 (10) ◽  
pp. 5094-5114 ◽  
Author(s):  
Alistair Perry ◽  
Wei Wen ◽  
Nicole A. Kochan ◽  
Anbupalam Thalamuthu ◽  
Perminder S. Sachdev ◽  
...  
Keyword(s):  
Older Adults ◽  
Brain Networks ◽  
Healthy Older Adults ◽  
Functional Brain ◽  
Functional Brain Networks

scholarly journals The independent influences of age and education on functional brain networks and cognition in healthy older adults

2017 ◽  
Author(s):  
Alistair Perry ◽  
Wei Wen ◽  
Nicole A. Kochan ◽  
Anbupalam Thalamuthu ◽  
Perminder S. Sachdev ◽  
...  
Keyword(s):  
Older Adults ◽  
Functional Connectivity ◽  
Cognitive Processes ◽  
Brain Networks ◽  
Later Life ◽  
Healthy Ageing ◽  
Resting State Functional Connectivity ◽  
Healthy Older Adults ◽  
Functional Brain ◽  
Functional Brain Networks

AbstractHealthy ageing is accompanied by a constellation of changes in cognitive processes and alterations in functional brain networks. The relationships between brain networks and cognition during ageing in later life are moderated by demographic and environmental factors, such as prior education, in a poorly understood manner. Using multivariate analyses, we identify three latent patterns (or modes) linking resting-state functional connectivity to demographic and cognitive measures in 101 cognitively-normal elders. The first mode (p=0.00043) captures an opposing association between age and core cognitive processes such as attention and processing speed on functional connectivity patterns. The functional subnetwork expressed by this mode links bilateral sensorimotor and visual regions through key areas such as the parietal operculum. A strong, independent association between years of education and functional connectivity loads onto a second mode (p=0.012), characterised by the involvement of key hub-regions. A third mode (p=0.041) captures weak, residual brain-behaviour relations. Our findings suggest that circuits supporting lower-level cognitive processes are most sensitive to the influence of age in healthy older adults. Education, and to a lesser extent, executive functions, load independently onto functional networks - suggesting that the moderating effect of education acts upon networks distinct from those vulnerable with ageing. This has important implications in understanding the contribution of education to cognitive reserve during healthy ageing.

scholarly journals Effects of a Motor Imagery Task on Functional Brain Network Community Structure in Older Adults: Data from the Brain Networks and Mobility Function (B-NET) Study

2021 ◽  
Vol 11 (1) ◽  
pp. 118
Author(s):  
Blake R. Neyland ◽  
Christina E. Hugenschmidt ◽  
Robert G. Lyday ◽  
Jonathan H. Burdette ◽  
Laura D. Baker ◽  
...  
Keyword(s):  
Older Adults ◽  
Graph Theory ◽  
Community Structure ◽  
Resting State ◽  
Brain Networks ◽  
Brain Network ◽  
Functional Brain ◽  
Network Community ◽  
Functional Brain Networks ◽  
The Brain

Elucidating the neural correlates of mobility is critical given the increasing population of older adults and age-associated mobility disability. In the current study, we applied graph theory to cross-sectional data to characterize functional brain networks generated from functional magnetic resonance imaging data both at rest and during a motor imagery (MI) task. Our MI task is derived from the Mobility Assessment Tool–short form (MAT-sf), which predicts performance on a 400 m walk, and the Short Physical Performance Battery (SPPB). Participants (n = 157) were from the Brain Networks and Mobility (B-NET) Study (mean age = 76.1 ± 4.3; % female = 55.4; % African American = 8.3; mean years of education = 15.7 ± 2.5). We used community structure analyses to partition functional brain networks into communities, or subnetworks, of highly interconnected regions. Global brain network community structure decreased during the MI task when compared to the resting state. We also examined the community structure of the default mode network (DMN), sensorimotor network (SMN), and the dorsal attention network (DAN) across the study population. The DMN and SMN exhibited a task-driven decline in consistency across the group when comparing the MI task to the resting state. The DAN, however, displayed an increase in consistency during the MI task. To our knowledge, this is the first study to use graph theory and network community structure to characterize the effects of a MI task, such as the MAT-sf, on overall brain network organization in older adults.

scholarly journals Brain Resilience: The Effect of White Matter Disease on Brain Networks in Cognitively Normal Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 918-918
Author(s):  
Blake Neyland ◽  
Christina Hugenschmidt ◽  
Samuel Lockhart ◽  
Laura Baker ◽  
Suzanne Craft ◽  
...  
Keyword(s):  
Older Adults ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Brain Networks ◽  
Network Connectivity ◽  
Anterior Cingulate ◽  
Functional Brain ◽  
Mobility Function ◽  
Functional Brain Networks ◽  
Brain Resilience

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.

scholarly journals Graph Theory Analysis of Functional Brain Networks and Mobility Disability in Older Adults

2014 ◽  
Vol 69 (11) ◽  
pp. 1399-1406 ◽  
Author(s):  
C. E. Hugenschmidt ◽  
J. H. Burdette ◽  
A. R. Morgan ◽  
J. D. Williamson ◽  
S. B. Kritchevsky ◽  
...  
Keyword(s):  
Older Adults ◽  
Graph Theory ◽  
Brain Networks ◽  
Theory Analysis ◽  
Mobility Disability ◽  
Functional Brain ◽  
Functional Brain Networks ◽  
Graph Theory Analysis

scholarly journals The older adult brain is less modular, more integrated and less efficient at rest: A systematic review of large-scale resting-state functional brain networks across the adult lifespan.

2021 ◽  
Author(s):  
Hamish Deery ◽  
Rober Di Paolo ◽  
Chris Moran ◽  
Gary F. Egan ◽  
Sharna Jamadar
Keyword(s):  
Older Adults ◽  
Age Differences ◽  
Resting State ◽  
Large Scale ◽  
Brain Networks ◽  
Adult Brain ◽  
Functional Brain ◽  
Adult Lifespan ◽  
Age Related ◽  
Functional Brain Networks

The literature on large-scale resting-state functional brain networks across the adult lifespan was systematically reviewed. Studies published between 1986 and July 2021 were retrieved from PubMed. After reviewing 2,938 records, 144 studies were included. Results on 11 network measures were summarised and assessed for certainty of the evidence using a modified GRADE method. The evidence provides high certainty that older adults display reduced within-network and increased between-network functional connectivity. Older adults also show lower segregation, modularity, efficiency and hub function. Higher-order networks reliably showed age differences, whereas basic processing and control networks showed more variable results. The inflection point for network changes is often the third or fourth decade of life. Age effects were found with moderate certainty for increased hemispheric lateralisation at rest, reduced BOLD signal variability within-subjects and altered patterns and speed of dynamic connectivity. Research on connectivity using glucose uptake provides low certainty of age differences but warrants further study. Taken together, these age-related changes may contribute to the cognitive decline often seen in older adults.

scholarly journals Association of peripheral inflammatory markers with connectivity in large-scale functional brain networks of non-demented older adults

2020 ◽  
Vol 87 ◽  
pp. 388-396 ◽  
Author(s):  
Keenan A. Walker ◽  
Alden L. Gross ◽  
Abhay R. Moghekar ◽  
Anja Soldan ◽  
Corinne Pettigrew ◽  
...  
Keyword(s):  
Older Adults ◽  
Inflammatory Markers ◽  
Large Scale ◽  
Brain Networks ◽  
Functional Brain ◽  
Functional Brain Networks

scholarly journals Functional Brain Networks: Unique Patterns with Hedonic Appetite and Confidence to Resist Eating in Older Adults with Obesity

Obesity ◽  
2020 ◽  
Vol 28 (12) ◽  
pp. 2379-2388
Author(s):  
Jonathan H. Burdette ◽  
Paul J. Laurienti ◽  
Laura L. Miron ◽  
Mohsen Bahrami ◽  
Sean L. Simpson ◽  
...  
Keyword(s):  
Older Adults ◽  
Brain Networks ◽  
Functional Brain ◽  
Functional Brain Networks
Sign in / Sign up

Export Citation Format

Share Document