Age-related differences in the structural and effective connectivity of cognitive control: a combined fMRI and DTI study of mental arithmetic

Hinault, Thomas; Larcher, Kevin; Bherer, Louis; Courtney, Susan

doi:10.1016/j.neurobiolaging.2019.06.013

Cited by 25 publications

(22 citation statements)

References 48 publications

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“…Functional brain networks are partly constrained by the integrity of underlying white matter tracts connecting brain regions (see Suárez et al, 2020, for a recent review), and microstructural integrity of these tracts tends to be lower in older adults than in younger individuals (e.g., Hinault et al, 2019a;Teipel et al, 2010;Ystad et al, 2011). This integrity reduction with age has been found to be associated with lower restingstate coherence across time between temporal and posterior sites (Teipel et al, 2009).…”

Section: Healthy Agingmentioning

confidence: 99%

“…Temporal dynamics may be essential to understanding age-related cognitive changes, as older adults are particularly impaired in speeded cognitive control tasks (e.g. Li & Zhao, 2015, Staffaroni et al, 2018, Hinault et al, 2019a and age-related changes in "processing speed" have been proposed to be key to reduced performance on many different cognitive tasks (Salthouse, 1996). fMRI has been the most widely used neuroimaging method to study age-related changes in neural activity.…”

mentioning

confidence: 99%

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When the time is right: Temporal dynamics of brain activity in healthy aging and dementia

Courtney

Hinault

2021

Progress in Neurobiology

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Section: Healthy Agingmentioning

confidence: 99%

mentioning

confidence: 99%

When the time is right: Temporal dynamics of brain activity in healthy aging and dementia

Courtney

Hinault

2021

Progress in Neurobiology

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“…A mental arithmetic task with adding numbers was chosen because it draws on a common cognitive ability encountered every day, the ability for mental arithmetic and to manipulate numbers. Previous research has shown that this task in isolation produces reliable activation in inferior frontal cortex and anterior cingulate 30,31 . In addition to whole brain analysis, we chose two region-of-interests (ROIs) for comparisons and correlations between the DMN and EMN networks, respectively.…”

mentioning

confidence: 96%

Dynamic switching between intrinsic and extrinsic mode networks as demands change from passive to active processing

Riemer

Grüner

Bereśniewicz

et al. 2020

Sci Rep

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In this study we report on the relationship between default and extrinsic mode networks across alternating brief periods of rest and active task processing. Three different visual tasks were used in a classic fMRI ON–OFF block design where task (ON) blocks alternated with equal periods of rest (OFF) blocks: mental rotation, working memory and mental arithmetic. We showed the existence of a generalized task-positive network, labelled the extrinsic mode network (EMN) that is anti-correlated with the default mode network (DMN) as processing demands shifted from rest to active processing. We then identified two key regions of interest (ROIs) in the supplementary motor area (SMA) and precuneus/posterior cingulate cortex (PCC) regions as hubs for the extrinsic and intrinsic networks, and extracted the time-course from these ROIs. The results showed a close to perfect anti-correlation for the SMA and Precuneus/PCC time-courses for ON- and OFF-blocks. We suggest the existence of two large-scale networks, an extrinsic mode network and an intrinsic mode network, which are up- and down-regulated as environmental demands change from active to passive processing.

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“…Arithmetics with adding numbers was chosen because it draws on a common cognitive ability encountered every day, the ability for mental arithmetic and to manipulate numbers. Previous research has shown that this task in isolation produces reliable activation in inferior frontal cortex and anterior cingulate 30,31 . In addition to whole brain analysis, we chose two region-of-interests (ROIs) for comparisons and correlations between the DMN and EMN networks, respectively.…”

Section: Introductionmentioning

confidence: 96%

Dynamic switching between intrinsic and extrinsic mode networks as demands change from passive to active processing

Riemer

Gruener

Bereśniewicz

et al. 2020

Preprint

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We here report on the relationship between default and extrinsic mode networks across alternating brief periods of rest and active task processing. We used three different visual tasks: mental rotation, working memory and mental arithmetic in a classic fMRI ON-OFF block design where task (ON) blocks alternated with equal periods of rest (OFF) blocks. By analysing data in two ways, using an ON-OFF contrast, we showed the existence of a generalized task-positive network, labelled the extrinsic mode network (EMN) which was anti-correlated with the default mode network (DMN) as processing demands shifted from rest to active processing. We then identified two key regions of interest (ROIs) in the SMA and Precuneus/PCC regions as hubs for the extrinsic and intrinsic networks, and extracted the time-course from these ROIs. The results showed a close to perfect correlations for the SMA and Precuneus/PCC time-courses for ON-respective OFF-blocks. We suggest the existence of two large-scale networks, an extrinsic mode network and an intrinsic mode network, respectively, which are up-and down-regulated as environmental demands change from active to passive processing.

show abstract

Age-related differences in the structural and effective connectivity of cognitive control: a combined fMRI and DTI study of mental arithmetic

Cited by 25 publications

References 48 publications

When the time is right: Temporal dynamics of brain activity in healthy aging and dementia

When the time is right: Temporal dynamics of brain activity in healthy aging and dementia

Dynamic switching between intrinsic and extrinsic mode networks as demands change from passive to active processing

Dynamic switching between intrinsic and extrinsic mode networks as demands change from passive to active processing

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