Journal
RADIOLOGY
Volume 304, Issue 3, Pages 624-632Publisher
RADIOLOGICAL SOC NORTH AMERICA (RSNA)
DOI: 10.1148/radiol.211762
Keywords
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Funding
- National Natural Science Foundation of China [U20A20191, 61727807, 82071912, 12104049]
- Beijing Municipal Science & Technology Commission [Z201100007720009]
- Fundamental Research Funds for the Central Universities [2021CX11011]
- China Postdoctoral Science Foundation [2020TQ0040]
- UK Biotechnology and Biological Sciences Research Council [BB/H008217/1]
- UK Medical Research Council
- University of Cambridge, UK
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This study aimed to examine the dynamic variations in brain network coactivation and deactivation across the adult lifespan using resting-state functional MRI. The results showed that aging was associated with reduced coactivation and deactivation, as well as the emergence and persistence of negative correlation patterns between high-order cognitive networks. Additionally, there was a transition from the attentional network and default mode network coactivation to the attentional network and frontoparietal network coactivation with aging.
Background: The aging brain is typically associated with aberrant interactions of large-scale intrinsic networks. However, the dynamic variation of these networks coactivation or deactivation across the adult lifespan remains unclear. Purpose: To promote the interpretation of dynamic brain network variations underlying the complex aging process by quantifying activation levels and obtaining a clear definition of coactivation patterns (CAPs) with resting-state functional MRI (rsfMRI). Materials and Methods: In a retrospective study (October 2010 to September 2013), rsfMRI data from healthy participants in the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository were used to generate CAPs by applying single-volume temporal clustering analysis. Spatial clustering analysis was then performed to capture dynamic coactivation and deactivation within or between primary sensory networks and high-order cognitive networks (including the default mode network [DMN], attentional network [AN], and frontoparietal network [FPN]). Linear relationships between dynamic metrics and age were revealed with Spearman partial correlations. Results: A total of 614 participants (mean age, 54 years +/- 18 [SD]; 311 women) ranging in age from 18 to 88 years were evaluated. There was a negative correlation of the CAPs (Spearman correlations: r = -0.98, P < .001) with loss of coactivation (partial correlations: r = -0.17, P < .001) and deactivation (partial correlations: r = 0.216, P < .001) with aging. The CAPs, characterized by negative correlation patterns between the DMN and AN, occurred (partial correlations: r = 0.14, P = .003) and dwelled (partial correlations: r = 0.10, P = .04) more with aging. Moreover, the AN and DMN CAP transitioned more to the AN and FPN CAP with aging (partial correlations: r = 0.17, P < .001). Conclusion: The dynamics of the healthy aging brain are characterized mainly by more flexibility of the high-order cognitive networks while maintaining primary sensory functions (networks). (C) RSNA, 2022
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