2022
DOI: 10.1111/psyp.14159
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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 in aging

Abstract: The number and proportion of older adults in the community is projected to increase significantly over the coming decades. It is estimated that the global population of adults aged over 65 years will increase from 703 million in 2019 to 1.5 billion by 2050 (United Nations, 2019). The rise in the number and proportion of older people stems from declining birth and fertility rates and an increase in the average lifespan across the world (United Nations, 2019).

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Cited by 70 publications
(72 citation statements)
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“…While on one hand the limitation of the current study is that we only examined between network connections, on the other hand several theories of cognitive ageing explicitly address changes in functional correlations between functional networks associated with either preservation or decline in cognitive performance in ageing. Specifically, it has been suggested that processes such as compensation and dedifferentiation both might be accompanied by stronger correlations among functionally unrelated networks or weaker anti-correlations among competing networks (Malagurski et al, 2020a,b; Deery et al, 2023). In this context the default mode network is of particular interest as the existing evidence points to anti-correlations between the default mode network and various other networks including fronto-parietal networks at rest and during task performance in young healthy participants (Greicius et al, 2003; Fox et al, 2005).…”
Section: Discussionmentioning
confidence: 99%
“…While on one hand the limitation of the current study is that we only examined between network connections, on the other hand several theories of cognitive ageing explicitly address changes in functional correlations between functional networks associated with either preservation or decline in cognitive performance in ageing. Specifically, it has been suggested that processes such as compensation and dedifferentiation both might be accompanied by stronger correlations among functionally unrelated networks or weaker anti-correlations among competing networks (Malagurski et al, 2020a,b; Deery et al, 2023). In this context the default mode network is of particular interest as the existing evidence points to anti-correlations between the default mode network and various other networks including fronto-parietal networks at rest and during task performance in young healthy participants (Greicius et al, 2003; Fox et al, 2005).…”
Section: Discussionmentioning
confidence: 99%
“…Given the continuous aging of the world population, the question to prevent the degradation of cognitive abilities linked to age, and, notably, of memory capacities, is of ever-increasing importance that requires constant therapeutic research. Several decades of preclinical investigations have shown that cognitive impairment associated with physiological or pathological aging is the result of functional deregulation in brain neural networks [ 66 , 67 , 68 ]. The NMDAR subtype of glutamate receptors is critical for the expression of functional plasticity at synapses such as long-term potentiation, which is viewed as the molecular basis of memory formation [ 62 , 69 , 70 , 71 , 72 ], and data have accumulated to show that the expression and/or activity of NMDARs are impacted by age [ 8 , 11 , 12 , 73 ].…”
Section: Discussionmentioning
confidence: 99%
“…During aging both changes in conductive tissue properties (e.g. (Mohammed et al, 2017; Thomas et al, 2018)) and functional connectivity occur (Deery et al, 2023). Hypothetically, an interaction between several factors that differently affect MEG and EEG (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…During aging both changes in conductive tissue properties (e.g. (Mohammed et al, 2017;Thomas et al, 2018)) and functional connectivity occur (Deery et al, 2023).…”
Section: Differences In Aperiodic Activity Between Magnetic and Elect...mentioning
confidence: 99%