Development of large-scale functional networks over the lifespan

Schlee, Winfried; Leirer, Vera Maria; Kolassa, Stephan; Thurm, Franka; Elbert, Thomas; Kolassa, Iris Tatjana

doi:10.1016/j.neurobiolaging.2011.11.031

Cited by 16 publications

(15 citation statements)

References 66 publications

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“…We showed previously that in the current sample of healthy adults, age has a negative effect on performance in the Trail Making Test (TMT-A: r = .51; p < .001, TMT-B: r = .55, p < .001; see30). Initial exploratory correlations between spectral power and cognitive performance revealed different linear trends across different age groups.…”

Section: Resultsmentioning

confidence: 56%

“…Performance on these tests has been associated with key cognitive functions, including cognitive control processes, working memory and perceptual speed3738. All these measures have been shown to be negatively affected by age1132330 and to be modulated by neural activity in the delta and theta range274041424344. Thus, of particular interest in the current study was to explore the associations between slow wave spectral power and performance on these tests across the life-span.…”

Section: Methodsmentioning

confidence: 97%

“…Handedness was assessed using the Edinburgh Handedness Inventory49. Cognitive performance was assessed using with a variety of tests (for a complete description see1830) for a total duration of approximately 2 hours. In the current study we used Trail Making Test A (TMT-A; range, 0–180 seconds) and B (TMT-B; range, 0–300 seconds) from the Consortium to Establish a Registry for Alzheimer's Disease (CERAD)-NP-plus neuropsychological test battery50.…”

Section: Methodsmentioning

confidence: 99%

“…Of particular interest in the present study is the relation between spontaneous oscillatory activity, healthy aging and cognitive performance. Resting state recordings without any specific task are a useful tool to investigate the large-scale functional organization of the human brain and are used to study the default activity of functional brain networks303132. Numerous studies have investigated possible links between age-related alterations in resting neural activity and cognitive performance.…”

mentioning

confidence: 99%

“…Part A (TMT-A) is mostly associated with visual search and perceptual speed whereas part B (TMT-B) is mostly implicated in working memory and executive components38. We focused on neuropsychological tests that assess key cognitive functions which are primarily affected by age183037. In addition, there is evidence that working memory, perceptual speed and cognitive control processes are associated with slow wave power23273940414243, and are thus expected to show age-differential spectral power alterations.…”

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confidence: 99%

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Resting-state slow wave power, healthy aging and cognitive performance

Vlahou

Thurm

Kolassa

et al. 2014

Sci Rep

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Cognitive functions and spontaneous neural activity show significant changes over the life-span, but the interrelations between age, cognition and resting-state brain oscillations are not well understood. Here, we assessed performance on the Trail Making Test and resting-state magnetoencephalographic (MEG) recordings from 53 healthy adults (18–89 years old) to investigate associations between age-dependent changes in spontaneous oscillatory activity and cognitive performance. Results show that healthy aging is accompanied by a marked and linear decrease of resting-state activity in the slow frequency range (0.5–6.5 Hz). The effects of slow wave power on cognitive performance were expressed as interactions with age: For older (>54 years), but not younger participants, enhanced delta and theta power in temporal and central regions was positively associated with perceptual speed and executive functioning. Consistent with previous work, these findings substantiate further the important role of slow wave oscillations in neurocognitive function during healthy aging.

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Section: Resultsmentioning

confidence: 56%

Section: Methodsmentioning

confidence: 97%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Resting-state slow wave power, healthy aging and cognitive performance

Vlahou

Thurm

Kolassa

et al. 2014

Sci Rep

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148

109

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The effect of ageing on fMRI: Correction for the confounding effects of vascular reactivity evaluated by joint fMRI and MEG in 335 adults

Tsvetanov

Henson

Tyler

et al. 2015

Human Brain Mapping

177

208

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In functional magnetic resonance imaging (fMRI) research one is typically interested in neural activity. However, the blood-oxygenation level-dependent (BOLD) signal is a composite of both neural and vascular activity. As factors such as age or medication may alter vascular function, it is essential to account for changes in neurovascular coupling when investigating neurocognitive functioning with fMRI. The resting-state fluctuation amplitude (RSFA) in the fMRI signal (rsfMRI) has been proposed as an index of vascular reactivity. The RSFA compares favourably with other techniques such as breath-hold and hypercapnia, but the latter are more difficult to perform in some populations, such as older adults. The RSFA is therefore a candidate for use in adjusting for age-related changes in vascular reactivity in fMRI studies. The use of RSFA is predicated on its sensitivity to vascular rather than neural factors; however, the extent to which each of these factors contributes to RSFA remains to be characterized. The present work addressed these issues by comparing RSFA (i.e., rsfMRI variability) to proxy measures of (i) cardiovascular function in terms of heart rate (HR) and heart rate variability (HRV) and (ii) neural activity in terms of resting state magnetoencephalography (rsMEG). We derived summary scores of RSFA, a sensorimotor task BOLD activation, cardiovascular function and rsMEG variability for 335 healthy older adults in the population-based Cambridge Centre for Ageing and Neuroscience cohort (Cam-CAN; www.cam-can.com). Mediation analysis revealed that the effects of ageing on RSFA were significantly mediated by vascular factors, but importantly not by the variability in neuronal activity. Furthermore, the converse effects of ageing on the rsMEG variability were not mediated by vascular factors. We then examined the effect of RSFA scaling of task-based BOLD in the sensorimotor task. The scaling analysis revealed that much of the effects of age on task-based activation studies with fMRI do not survive correction for changes in vascular reactivity, and are likely to have been overestimated in previous fMRI studies of ageing. The results from the mediation analysis demonstrate that RSFA is modulated by measures of vascular function and is not driven solely by changes in the variance of neural activity. Based on these findings we propose that the RSFA scaling method is articularly useful in large scale and longitudinal neuroimaging studies of ageing, or with frail participants, where alternative measures of vascular reactivity are impractical.

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Accounting for Heterogeneity: Mixed-Effects Models in Resting-State EEG Data in a Sample of Tinnitus Sufferers

et al. 2020

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In neuroscience, neural oscillations and other features of brain activity recorded by electroencephalography (EEG) are typically statistically assessed on the basis of the study's population mean to identify possible blueprints for healthy subjects, or subjects with diagnosable neurological or psychiatric disorders. Despite some inter-individual similarities, there is reason to believe that a discernible portion of the individual brain activity is subject-specific. In order to encompass the potential individual source of variance in EEG data and psychometric parameters, we introduce an innovative application of linear mixed-effects models (LMM) as an alternative procedure for the analysis of resting-state EEG data. Using LMM, individual differences can be modelled through the assumptions of idiosyncrasy of all responses and dependency among data points (e.g., from the same subject within and across units of time) via random effects parameters. This report provides an example of how LMM can be used for the statistical analysis of resting-state EEG data in a heterogeneous group of subjects; namely, people who suffer from tinnitus (ringing in the ear/s). Results from 49 participants (38 male, mean age of 46.69 ± 12.65 years) revealed that EEG signals were not only associated with specific recording sites, but exhibited regional specific oscillations in conjunction to symptom severity. Tinnitus distress targeted the frequency bands beta3 (23.5-35 Hz) and gamma in right frontal regions, whereas delta (0.5-4 Hz) exhibited significant changes in temporal-parietal sources. Further, 57.8% of the total variance in EEG power was subject-specific and acknowledged by the LMM framework and its prediction. Thus, a deeper understanding of both the underlying statistical and physiological patterns of EEG data was gained.Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Development of large-scale functional networks over the lifespan

Cited by 16 publications

References 66 publications

Resting-state slow wave power, healthy aging and cognitive performance

Resting-state slow wave power, healthy aging and cognitive performance

The effect of ageing on fMRI: Correction for the confounding effects of vascular reactivity evaluated by joint fMRI and MEG in 335 adults

Accounting for Heterogeneity: Mixed-Effects Models in Resting-State EEG Data in a Sample of Tinnitus Sufferers

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