Working memory performance is related to intrinsic resting state functional connectivity changes in community-dwelling elderly cohort

Charroud, Céline; Bars, Emmanuelle Le; Deverdun, Jérémy; Steffener, Jason; Molino, François; Abdennour, Meriem; Portet, Florence; Bonafé, Alain; Stern, Yaakov; Ritchie, Karen; Akbaraly, Tasnime; Champfleur, Nicolas Menjot de

doi:10.1016/j.nlm.2016.05.008

Cited by 11 publications

(13 citation statements)

References 88 publications

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“…6 ). The significant predictability of WMC in the old sample from the RSFC patterns of multiple networks (WM, CogAC, VigAtt, ToM, SM, eSAD, Motor + PS and Motor + SS) extends previous aging research that revealed age differences in univariate associations between WM performance and RSNs ( Charroud et al, 2016 ; Jockwitz et al, 2017 ; Sala-Llonch et al, 2012 ).…”

Section: Discussionsupporting

confidence: 79%

“…While the neural underpinnings of age-related deficits in cognitive functions were found to be associated with activation differences in task-related brain networks ( Cabeza et al, 2016a ; Hedden, 2007 ; Nielson et al, 2006 ), several findings have demonstrated that age-related WM decline may in part be accounted for by changes in resting-state functional connectivity (RSFC) architecture of the brain ( Charroud et al, 2016 ; Jockwitz et al, 2017 ; Sala-Llonch et al, 2012 ). It remains unclear, however, to which extent neurobehavioral features of aging manifest in individual differences in WM capacity (WMC) associated with variations in interregional coupling at rest across different cognitive networks.…”

Section: Introductionmentioning

confidence: 99%

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Age differences in predicting working memory performance from network-based functional connectivity

Pläschke

Patil

Cieslik

et al. 2020

Cortex

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Deterioration in working memory capacity (WMC) has been associated with normal aging, but it remains unknown how age affects the relationship between WMC and connectivity within functional brain networks. We therefore examined the predictability of WMC from fMRI-based resting-state functional connectivity (RSFC) within eight meta-analytically defined functional brain networks and the connectome in young and old adults using relevance vector machine in a robust cross-validation scheme. Particular brain networks have been associated with mental functions linked to WMC to a varying degree and are associated with age-related differences in performance. Comparing prediction performance between the young and old sample revealed age-specific effects: In young adults, we found a general unpredictability of WMC from RSFC in networks subserving WM, cognitive action control, vigilant attention, theory-of-mind cognition, and semantic memory, whereas in older adults each network significantly predicted WMC. Moreover, both WM-related and WM-unrelated networks were differently predictive in older adults with low versus high WMC. These results indicate that the within-network functional coupling during task-free states is specifically related to individual task performance in advanced age, suggesting neural-level reorganization. In particular, our findings support the notion of a decreased segregation of functional brain networks, deterioration of network integrity within different networks and/or compensation by reorganization as factors driving associations between individual WMC and within-network RSFC in older adults. Thus, using multivariate pattern regression provided novel insights into age-related brain reorganization by linking cognitive capacity to brain network integrity.

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Section: Discussionsupporting

confidence: 79%

Section: Introductionmentioning

confidence: 99%

Age differences in predicting working memory performance from network-based functional connectivity

Pläschke

Patil

Cieslik

et al. 2020

Cortex

View full text Add to dashboard Cite

show abstract

“…Each identified network was represented by one ICA component; therefore, a total of seven components were included in the analysis. These resting-state networks were chosen because they have previously been identified as relating to working memory performance (Engstrom et al 2013;Sala-Llonch et al 2012;Hampson et al 2006;Charroud et al 2016;Fang et al 2016). The strength of connectivity within individual networks was derived from the z-scored spatial maps and will be referred to as intra-network rsfc.…”

Section: Imaging Analysismentioning

confidence: 99%

Working Memory Training Is Associated with Changes in Resting State Functional Connectivity in Children Who Were Born Extremely Preterm: a Randomized Controlled Trial

et al. 2019

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Children born extremely preterm (EP; < 28 weeks of gestation) or extremely low birth weight (ELBW; < 1000 g) are at increased risk of working memory deficits compared with their term-born peers and may benefit from working memory training. This study aimed to determine whether Cogmed Working Memory Training®, compared with a placebo training program, was associated with changes in resting-state functional connectivity (rsfc) and whether these changes correlated with working memory performance in EP/ELBW children. Twenty-one 7-year-old EP/ELBW children were enrolled in a double-blinded randomized controlled trial and had magnetic resonance imaging (MRI) assessments (Cogmed, n = 12; placebo (a non-adaptive version of Cogmed), n = 9). Prior to training (baseline) and 2 weeks post-training, all children received a cognitive assessment, inclusive of immediate memory and working memory measures and an MRI. The Cogmed Improvement Index was used as a measure of improvement in trained activities in the Cogmed group. Resting-state functional MRI was used to measure training-related changes in intra-and internetwork rsfc. The networks assessed include the default mode network, the left and right central executive networks, the bilateral executive network, the dorsal attention network, and the salience network. rsfc data were compared between treatment groups and investigated in relation to changes in working memory performance. There was little evidence of differences in intra-or internetwork rsfc strength changes from baseline to post-training between treatment groups. In the Cogmed group, working memory performance was associated with increased rsfc from baseline to post-training within the precuneus network, but not in the placebo group. In the Cogmed group, results that did not survive multiple comparison correction further showed that improvement in trained activities was associated with increased rsfc between the left central and bilateral executive networks, and with decreased rsfc within the right central executive network and between the right central executive and salience networks. Changes in rsfc may facilitate working memory performance following Cogmed training. Further studies are needed to investigate how changes in rsfc are associated with behavioral changes to better support working memory in vulnerable groups. Chiara Nosarti and Peter J. Anderson are joint senior authors.

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“…Default D; (11). Default E; (12). Default F; This set of matrices shows the average correlations between the functional connectivity score and cognitive outcomes for each sub-network.…”

Section: Executive Function Vs Memorymentioning

confidence: 99%

“…While stronger connectivity within each of the TPN and TNN has been associated with better executive functions and working memory, the studies investigating the interactions between the two networks are limited and have produced discordant results [2,[7][8][9]. While some studies report interactions between the TPN and TNN in cognitive outcomes, others do not report such results [10][11][12]. Nevertheless, regional activation studies have found that the TPN activation and TNN deactivation during tasks is associated with better cognitive performance.…”

Section: Introductionmentioning

confidence: 99%

The association between functional connectivity and cognition in older adults

Khasawinah¹,

Chuang²,

Caffo³

et al. 2017

J Syst Integr Neurosci

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In this cross-sectional study of older adults, we investigated two fundamental brain networks whose coupling is known to be associated with cognitive aging and dementia risk, the Task Negative Network and the Task Positive Network. We investigated connectivity using data from functional magnetic resonance brain imaging (fMRI) with a working memory task in the Brain Health Study (BHS), a study nested within the Baltimore Experience Corps Trial. BHS participants (n=85) were socio-demographically diverse community-dwelling adults over the age of 60. We used a priori derived regions of interest from the literature, and developed a linear regression-based method using Pearson's correlations as measures of network connectivity and scores on neuropsychological tests, administered outside of the scanner. The cognitive domains assessed were executive functions (task switching and working memory) and memory (episodic memory), which are known to be associated with dementia risk. We found that memory was both positively and negatively associated with inter-network connectivity, depending on the sub-network, while executive functions were negatively associated with inter-network connectivity. Sex modified these results, indicating underlying biological differences in the associations between brain network connectivity and cognitive functions in men and women. These results provide support for the potential utility of this paradigm when applied to the analysis of fMRI data to detect pre-clinical changes in cognitive functions.

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Working memory performance is related to intrinsic resting state functional connectivity changes in community-dwelling elderly cohort

Cited by 11 publications

References 88 publications

Age differences in predicting working memory performance from network-based functional connectivity

Age differences in predicting working memory performance from network-based functional connectivity

Working Memory Training Is Associated with Changes in Resting State Functional Connectivity in Children Who Were Born Extremely Preterm: a Randomized Controlled Trial

The association between functional connectivity and cognition in older adults

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