Modular slowing of resting-state dynamic Functional Connectivity as a marker of cognitive dysfunction induced by sleep deprivation

Lombardo, Diego; Cassé-Perrot, Catherine; Ranjeva, Jean‐Philippe; Troter, Arnaud Le; Guye, Maxime; Wirsich, Jonathan; Payoux, Pierre; Bartrés‐Faz, David; Bordet, Régis; Richardson, Jill C.; Félician, Olivier; Jirsa, Viktor K.; Blin, Olivier; Didic, Mira; Battaglia, Demian

doi:10.1101/2020.01.17.910810

Cited by 6 publications

(8 citation statements)

References 87 publications

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“…A similar situation can be occurring at the connectome level, and the s-core decomposition is a first step toward the description of this kind of structural high-order interactions. A question for future research is whether the functional high-order interactions-as the one revealed by non-trivial "meta-connectivity", constraining fluctuations of pairwise resting state functional links [44]are related to the core-shell organization.…”

Section: Discussionmentioning

confidence: 99%

Cortical ignition dynamics is tightly linked to the core organisation of the human connectome

et al. 2020

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Section: Discussionmentioning

confidence: 99%

Cortical ignition dynamics is tightly linked to the core organisation of the human connectome

et al. 2020

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“…The generation of a variety of dynamic regimes from changes in the global 'environmental' parameters is biologically realistic. For example, sleep deprivation is associated with changes in the speed of the F C evolution [72]. Accordingly, distinct features of the dF C should correspond to a di↵erent underlying neuroelectric organization (and perhaps to distinct mechanisms of communication across the brain regions [73]).…”

Section: Discussionmentioning

confidence: 99%

Neuronal cascades shape whole-brain functional dynamics at rest

Rabuffo

Fousek

Bernard

et al. 2020

Preprint

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At rest, mammalian brains display a rich complex spatiotemporal behavior, which is reminiscent of healthy brain function and has provided nuanced understandings of several major neurological conditions. Despite the increasingly detailed phenomenological documentation of the brain’s resting state, its principle underlying causes remain unknown. To establish causality, we link structurally defined features of a brain network model to neural activation patterns and their variability. For the mouse, we use a detailed connectome-based model and simulate the resting state dynamics for neural sources and whole brain imaging signals (Blood-Oxygen-Level-Dependent (BOLD), Electroencephalography (EEG)). Under conditions of near-criticality, characteristic neuronal cascades form spontaneously and propagate through the network. The largest neuronal cascades produce short-lived but robust co-fluctuations at pairs of regions across the brain. During these co-activation episodes, long-lasting functional networks emerge giving rise to epochs of stable resting state networks correlated in time. Sets of neural cascades are typical for a resting state network, but different across. We experimentally confirm the existence and stability of functional connectivity epochs comprising BOLD co-activation bursts in mice (N=19). We further demonstrate the leading role of the neuronal cascades in a simultaneous EEG/fMRI data set in humans (N=15), explaining a large part of the variability of functional connectivity dynamics. We conclude that short-lived neuronal cascades are a major robust dynamic component contributing to the organization of the slowly evolving spontaneous fluctuations in brain dynamics at rest.

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“…For instance, the extraction of ERP templates in our case depended on a manual inspection, but more sophisticated algorithms for the temporal clustering of single-trial ERP topographies(Vahid et al, 2020) could be used and combined with our variability analyses schemes. The occurrence of large within-trial variations also need to be put in correspondence with microstate transitions or other approaches to describe ongoing dynamics of intrinsic functional connectivity(Lombardo et al, 2020) which also reveal power-law distributed statistics of fluctuations. Finally, linking activity to network state dynamics may allow assessing whether exchange of information is dominated by bottom-up or top-down flows at different ages or ERP stages(Bastos et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Event-Related Variability is Modulated by Task and Development

Naik

Adibpour

Dubois

et al. 2021

Preprint

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Patterns of trial-averaged post-stimulus neural activity, e.g. event related potentials (ERPs) are traditionally interpreted as the correlates of cognitive operations. However, single-trial trajectories of neural responses approach these ERP components only in a loose and stochastic manner, questioning legitimacy of these components, proposed roles. Deconstructing the conventional ERP analyses, here we studied patterns of event related variability (ERV) in 2-6 month-old infants and adults using electroencephalography. Our analyses reveal that the ERP components are analogous to the biasing forces on the ongoing dynamics, which instrument the variability quenching and boosting events along neural trajectories. Moreover, the observed ERV possesses a rich temporal structure, modulated by both age and task, rivaling in complexity with that of the classical ERPs. Our findings suggest that since the early infancy, neural trajectories are actively controlled. This is compliant with the hypothesis that neural variability is a resource for cognitive processing, rather than unwanted noise.

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Modular slowing of resting-state dynamic Functional Connectivity as a marker of cognitive dysfunction induced by sleep deprivation

Cited by 6 publications

References 87 publications

Cortical ignition dynamics is tightly linked to the core organisation of the human connectome

Cortical ignition dynamics is tightly linked to the core organisation of the human connectome

Neuronal cascades shape whole-brain functional dynamics at rest

Event-Related Variability is Modulated by Task and Development

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