Age-related differences in resting-state and task-based network characteristics and cognition: a lifespan sample

Zhang, Haoyun; Gertel, Victoria H.; Cosgrove, Abigail L.; Diaz, Michèle T.

doi:10.1016/j.neurobiolaging.2020.10.025

Cited by 18 publications

(14 citation statements)

References 66 publications

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“…This study found that the FC of homologous ROI in the elderly group was weaker than that in the young group in the forward and reverse judgment tests, which indicated that the FC of bilateral PFC and PMC decreased in the elderly group during cognitive tasks, suggesting that the function of brain network in cognitive and motor-related brain regions was weakened. Zhang et al (2021) proposed that the increase of age was negatively related to the FC of the whole brain network, while the decrease of the FC of the brain network was related to cognitive behavior disorder, which supported the experimental results of this study. A large number of studies have shown that the FC values of age-related areas decrease in the default mode network, salience network and frontoparietal control network ( Grady, 2012 ).…”

Section: Discussionsupporting

confidence: 88%

Brain network mechanism on cognitive control task in the elderly with brain aging: A functional near infrared spectroscopy study

Liang

Huang

Zhang

et al. 2023

Front. Hum. Neurosci.

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ObjectiveTo study the brain network mechanism of cognitive control in the elderly with brain aging.Materials and methods21 normal young people and 20 elderly people were included in this study. Mini-mental State Examination and functional near-infrared spectroscopy (fNIRS) synchronous judgment test (including forward tests and reverse judgment tests) were performed on all subjects. To observe and compare differences in brain region activation and brain functional connectivity between subjects and forward and reverse trials by recording functional connectivity (FC) in different task paradigms and calculating bilateral prefrontal and primary motor cortical (PMC) areas.ResultsIn the forward and reverse judgment tests, the reaction time of the elderly group was significantly longer than the young group (P < 0.05), and there was no significant difference in the correct rate. In the homologous regions of interest (ROI) data, the FC of PMC and prefrontal cortex (PFC) in the elderly group was significantly decreased (P < 0.05). In the heterologous ROI data, except for left primary motor cortex (LPMC)-left prefrontal cortex (LPFC), the other PMC and PFC of the elderly group were significantly lower than the young group (P < 0.05) while processing the forward judgment test. However, the heterologous ROI data of LPMC-right prefrontal cortex (RPFC), LPMC-LPFC and RPFC-LPFC in the elderly group were significantly lower than the young group (P < 0.05) while processing the reverse judgment test.ConclusionThe results suggest that brain aging affected degeneration of whole brain function, which reduce the speed of information processing and form a brain network functional connection mode different from that of young people.

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Section: Discussionsupporting

confidence: 88%

Brain network mechanism on cognitive control task in the elderly with brain aging: A functional near infrared spectroscopy study

Liang

Huang

Zhang

et al. 2023

Front. Hum. Neurosci.

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“…Our study additionally shows a novel finding of decreased load-modulated connectivity with increasing age within the somatomotor, dorsal attention, ventral attention, and frontoparietal network, and between the visual network and other networks. Decreases in within and between network connectivity across the cortex with increasing age have been reported in a language task (Zhang et al, 2021) and within networks supporting higher level cognitive functions during resting-state (Geerligs et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Lifespan differences in visual short-term memory load-modulated functional connectivity

Lugtmeijer

Geerligs

Tsvetanov

et al. 2022

Preprint

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Working memory is critical to higher-order executive processes and declines throughout the adult lifespan. However, our understanding of the neural mechanisms underlying this decline is limited. Recent work suggests that functional connectivity between frontal control and posterior visual regions may be critical, but examinations of age differences therein have been limited to a small set of brain regions and extreme group designs (i.e., comparing young and older adults). In this study, we build on previous research by using a lifespan cohort and a whole-brain approach to investigate working memory load-modulated functional connectivity in relation to age and performance. The article reports on analysis of the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data. Participants from a population-based lifespan cohort (N=111, age 23-86) performed a visual short-term memory task during functional magnetic resonance imaging. Visual short-term memory was measured with a delayed recall task for visual motion with three different loads. Whole-brain load-modulated connectivity was estimated using psychophysiological interactions in a hundred regions of interest, sorted into seven networks (Schaefer et al., 2018, Yeo et al., 2011). Results showed that load-modulated functional connectivity was strongest within the dorsal attention network followed by the visual network during encoding and maintenance. With increasing age, load-modulated functional connectivity strength decreased throughout the cortex. Within the dorsal attention network, increased load-modulated connectivity strength was related to better task performance in an age-invariant way. Our results demonstrate the widespread negative impact of age on the modulation of functional connectivity by working memory load. Older adults might already be close to ceiling in terms of their resources at the lowest load and therefore less able to further increase connectivity with increasing task demands.

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“…These findings strongly suggest that high network specificity is a hallmark of the healthy young adult brain. In contrast, network specificity in older adults is reduced (Andrews-Hanna et al, 2007; Chan et al, 2014; Damoiseaux et al, 2008; Geerligs et al, 2015; Malagurski et al, 2020; Oschmann et al, 2020; Spreng et al, 2016; Staffaroni et al, 2018; Yang et al, 2014; Zhang et al, 2021). In the default mode (Cao et al, 2014; Staffaroni et al, 2018; Yang et al, 2014), sensorimotor (Malagurski et al, 2020), frontoparietal (Geerligs et al, 2015; Oschmann et al, 2020), salience (Oschmann et al, 2020), and dorsal attention (Spreng et al, 2016) networks, this reduced network specificity is due to reduced within-network connectivity (Andrews-Hanna et al, 2007; Chan et al, 2014; Damoiseaux et al, 2008; Geerligs et al, 2015; Oschmann et al, 2020; Spreng et al, 2016; Staffaroni et al, 2018; Yang et al, 2014; Zhang et al, 2021), increased between-network connectivity (Chan et al, 2014; Geerligs et al, 2015; Malagurski et al, 2020; Spreng et al, 2016; Zhang et al, 2021), or a combination of both (Chan et al, 2014; Geerligs et al, 2015; Spreng et al, 2016; Zhang et al, 2021).…”

Section: Introductionmentioning

confidence: 95%

Hippocampal and caudate network specificity is altered in older adults

Freedberg

2022

Preprint

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The hippocampal and the caudate networks, defined by their intrinsic resting state functional connectivity (FC), exhibit strong network specificity. This is reflected as strong within network and weak between-network FC, as well as their dissociable roles in cognition. Aging typically reduces the specificity of brain networks. However, whether the hippocampal and caudate networks show age-related decreases in network specificity is unclear. Further, whether any age-related decreases in network specificity are due to reduced within-network FC, increased between-network FC, or some combination of both, is also unclear. Using a large-scale fMRI data set acquired from healthy younger (n = 101, aged 18 to 40 years) and older (n = 101, 55 to 75 years) adults, networks centered on the left anterior hippocampus and the head of the right caudate nucleus were compared. These sub regions were chosen based on their distinct contributions to cognition, their known interactions, and their susceptibility to age related changes. A mixed effect model was used to identify brain regions where network specificity differed between groups. For younger adults, hippocampal network specificity was strong in the medial frontal gyrus (MFG), while caudate network specificity was strong in the basal nuclei. However, network specificity in these same regions was significantly reduced in older adults. Reduced specificity in each network was due to a weakening of within-network connectivity rather than an increase in between-network connectivity. These results indicate that hippocampal and caudate network specificity decreases with advancing age, raising the possibility that these reductions may contribute to age-related changes in memory.

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Age-related differences in resting-state and task-based network characteristics and cognition: a lifespan sample

Cited by 18 publications

References 66 publications

Brain network mechanism on cognitive control task in the elderly with brain aging: A functional near infrared spectroscopy study

Brain network mechanism on cognitive control task in the elderly with brain aging: A functional near infrared spectroscopy study

Lifespan differences in visual short-term memory load-modulated functional connectivity

Hippocampal and caudate network specificity is altered in older adults

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