Lifespan associated global patterns of coherent neural communication

Sahoo, Bikash; Pathak, Anagh; Deco, Gustavo; Banerjee, Arpan; Roy, Dipanjan

doi:10.1016/j.neuroimage.2020.116824

Cited by 33 publications

(54 citation statements)

References 58 publications

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“…In our study, we did not find strong evidence for age-related attenuations of relative AP, in line with other recent studies 40,41 . This could be due to the narrow age range of our participants, as well as the individually adjusted alpha frequency range based on the IAPF.…”

Section: Discussionsupporting

confidence: 92%

Relationship between Regional White Matter Hyperintensities and Alpha Oscillations in Older Adults

Kumral

Cesnaite

Beyer

et al. 2020

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Objective: To investigate whether regional white matter hyperintensities (WMHs) relate to alpha oscillations (AO) in a large population-based sample of elderly individuals. Methods: We associated voxel-wise WMHs from high-resolution 3-Tesla MRI with neuronal alpha oscillations (AO) from resting-state multichannel EEG at sensor (N=907) and source space (N=855) in older participants of the LIFE-Adult study (60−80 years). In EEG, we computed relative alpha power (AP), individual alpha peak frequency (IAPF), as well as long-range temporal correlations (LRTC) that represent dynamic properties of the signal. We implemented whole-brain voxel-wise regression models to identify regions where parameters of AO were linked to probability of WMH occurrence. We further used mediation analyses to examine whether WMH volume mediated the relationship between age and AO. Results: Higher prevalence of WMHs in the superior and posterior corona radiata was related to elevated relative AP, with strongest correlations in the bilateral occipital cortex, even after controlling for potential confounding factors. The age-related increase of relative AP in the right temporal brain region was shown to be mediated by total WMH volume. Conclusion: A high relative AP corresponding to increased regional WMHs was not associated with age per se, in fact, this relationship was mediated by WMHs. We argue that the WMH-associated increase of AP reflects a generalized and likely compensatory spread of AO leading to a larger number of synchronously recruited neurons. Our findings thus suggest that longitudinal EEG recordings might be sensitive to detect functional changes due to WMHs.

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Section: Discussionsupporting

confidence: 92%

Relationship between Regional White Matter Hyperintensities and Alpha Oscillations in Older Adults

Kumral

Cesnaite

Beyer

et al. 2020

Preprint

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“…In oscillatory dynamics, we observe a signi cant decline in peak alpha frequency (PAF) with age as shown by previous study (Sahoo et al 2020), however how PAF relates to di erent aspects of behavioural responses in VSTM was not quanti ed systematically. This decrease in peak alpha frequency was not found to be localised to speci c sensors, rather a global signi cant decrease was observed (see Fig.…”

Section: Discussionsupporting

confidence: 76%

“…Young Adults (YA), Middle Elderly (ME), Middle-Late (ML), Older Adults (OA), Similar grouping has been performed in our previous study also. 70 participants were randomly chosen from each age group resulting in total of N=280 subjects comprise of all four important stages of adult lifespan ( Chan et al, 2014;Sahoo et al, 2020). (Taylor et al, 2007;Shafto et al, 2014).…”

Section: Participantsmentioning

confidence: 99%

“…It has recently become more evident that spontaneous oscillations in the electrical potential are not just brain activity engulfed with noise, rather the local as well global change in spontaneous dynamics may index key aspects of behavioural response associated with healthy aging process (Bishop et al, 2010;Foster et al, 2015;Sahoo et al, 2020). The brain oscillations emerging in the spontaneous state based on the underlying intrinsic neuronal coupling even in the absence of goal-directed tasks allow us to quantify normative patterns of brain dynamics and it's marked alterations through the lifespan to the extent to even capture salient aspects of cognitive functions in the domain of attention, perception, and memory processing (Buzsáki, G. 2006).…”

Section: Introductionmentioning

confidence: 99%

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MEG Oscillatory and Aperiodic neural dynamics contribute to different cognitive aspects of short-term memory decline through lifespan

Thuwal¹,

Banerjee²,

Roy³

2021

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Neural communication or signal transmission in the brain propagates via distinct oscillatory frequency bands. With aging, the communication mediated by these frequency bands is hindered by noise, which arises from the increased stochastic variability in the baseline neural spiking. This increase in noise measured as 1/f power-law scaling reflects the global background noise and is often linked to impaired cognition in different tasks. In this study, we quantify the 1/f slope and intercept of MEG brain signal as a putative marker of neural noise and examined its effect on cognitive and metacognitive measures. We hypothesize that as neural communication becomes noisier with age, it impacts global information processing, whereas specific periodic features mediate local aspects of cognition. Using the recently proposed parametric Fooof model, we first characterized the normative pattern of periodic and aperiodic features (temporal dynamics) across the lifespan, modeled via spectral peaks (Central frequency, power, bandwidth) and 1/f noise activity (slope and intercept) respectively. Secondly, how this Resting-State (RS) baseline shift in temporal dynamics of the signal is associated with various aspects of visual short-term memory (VSTM). Our results suggest that age-associated global change in noisy baseline affects global information processing and crucially impacts the oscillatory features, which relates to more local processing and selective behavioral measures in the VSTM task. Moreover, we suggest that the task-related differences observed across age groups are due to the baseline shift of periodic and aperiodic features.

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“…However, there is a knowledge gap in terms of how thalamo-cortical interactions sculpt causal drive and how they reconfigure directed connectivity in major neurocognitive networks with aging. This knowledge-gap is surprising given that lifespan-associated behavioral performance and flexibility in principle is governed by large scale functional brain network re-organization and whole brain dynamics at fast and slow time scales (Naik et al;2017, King et al;2018, Sahoo et al;2020).…”

Section: Discussionmentioning

confidence: 99%

Reconfiguration of directed functional connectivity among triple networks with aging: Considering the role of thalamo-cortical interactions

Das

Singh

Uddin

et al. 2019

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9The human brain undergoes both significant structural and functional changes across the 10 lifespan. It is important to understand the underlying causal relationship of the emerging dy-11 namical changes in functional connectivity with age. On average, functional connectivity 12 within resting-state networks weakens in magnitude while connections between resting-state 13 networks tend to increase with age. Further, few recent studies show that effective connectivity 14 within and between large scale resting-state functional networks changes over the healthy 15 lifespan. Motivated by these findings we move one step forward to investigate the effect of the 16 thalamus in the context of healthy aging. Using directed connectivity and weighted net causal 17 outflow measures on resting-state fMRI data, we examine the age-related changes in both cor-18 tical and thalamocortical causal interactions within and between resting-state networks. The 19 three of core neurocognitive networks DMN, SN, CEN networks are identified independently 20 by carrying out ICA as well as spatially matching of hub regions with the important RSNs 21 previously reported in the literature. Thereafter, multivariate GCA was performed to test for 22 23 are two major findings, firstly, we observe that within network causal connections become 24 progressively weaker with age, however, between network causal connections are getting 25 stronger with age among core neurocognitive networks, primarily a reflection of within and 26 between network resting-state functional connectivity. Secondly, significant modifications 27 were found in causal connections and net causal outflows in the presence of thalamus. Finally, 28we found that the thalamus plays a crucial role as an exogenous drive in the reorganization of 29 within network causal outflow, while Salience network plays a critical role in mediating be-30 tween network causal outflow with age among cortical networks. Our findings with the 31 weighted causal outflow measures strengthen the hypothesis that balancing within and between 32 network connectivity is perhaps critical for the preservation of cognitive functions with aging. 33 34 35

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Lifespan associated global patterns of coherent neural communication

Cited by 33 publications

References 58 publications

Relationship between Regional White Matter Hyperintensities and Alpha Oscillations in Older Adults

Relationship between Regional White Matter Hyperintensities and Alpha Oscillations in Older Adults

MEG Oscillatory and Aperiodic neural dynamics contribute to different cognitive aspects of short-term memory decline through lifespan

Reconfiguration of directed functional connectivity among triple networks with aging: Considering the role of thalamo-cortical interactions

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