Resting-state “physiological networks”

Chen, Jingyuan E.; Lewis, Laurie; Chang, Catie; Tian, Qiyuan; Fultz, Nina E; Ohringer, Ned A.; Rosen, Bruce R.; Polimeni, Jon̈athan R.

doi:10.1016/j.neuroimage.2020.116707

Cited by 130 publications

(153 citation statements)

References 99 publications

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“…Although our analyses were replicated across two temporally distinct recordings in the same participants, it is likely that more nuanced differences in brain states and their links to physiology and behaviour would be evident in a larger data set. Finally, the vexed issue of physiological confounds on functional BNs needs to be acknowledged 61 . Notably, these effects have most often been identified in resting-state acquisitions which, by virtue of their less constrained nature, challenge the disambiguation of nuisance effects from those due to visceral efferents such as the autonomic correlates of suspense, fear, or surprise 62,63 .…”

Section: Discussionmentioning

confidence: 99%

Movie viewing elicits rich and reliable brain state dynamics

et al. 2020

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Adaptive brain function requires that sensory impressions of the social and natural milieu are dynamically incorporated into intrinsic brain activity. While dynamic switches between brain states have been well characterised in resting state acquisitions, the remodelling of these state transitions by engagement in naturalistic stimuli remains poorly understood. Here, we show that the temporal dynamics of brain states, as measured in fMRI, are reshaped from predominantly bistable transitions between two relatively indistinct states at rest, toward a sequence of well-defined functional states during movie viewing whose transitions are temporally aligned to specific features of the movie. The expression of these brain states covaries with different physiological states and reflects subjectively rated engagement in the movie. In sum, a data-driven decoding of brain states reveals the distinct reshaping of functional network expression and reliable state transitions that accompany the switch from resting state to perceptual immersion in an ecologically valid sensory experience.

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Section: Discussionmentioning

confidence: 99%

Movie viewing elicits rich and reliable brain state dynamics

et al. 2020

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“…Similarly, (Tong et al, 2013; Tong and Frederick, 2014) found significant contributions of systemic fluctuations on ICA time courses related to the visual, sensorimotor and auditory networks. Recently, (Chen et al, 2020) generated BOLD data containing only slow respiratory-related dynamics and showed that respiratory variation can give rise to apparent neurally-related connectivity patterns. Further, recent investigations have shown that physiological confounds can modulate time-varying FC measures (Chang et al, 2013; Nalci et al, 2019; Nikolaou et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Physiological and head motion signatures in static and time-varying functional connectivity and their subject discriminability

Xifra‐Porxas¹,

Kassinopoulos²,

Mitsis

2020

Preprint

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It is well established that head motion and physiological fluctuations have a pronounced influence on resting-state fMRI activity. Here, we capitalize on a large sample from the Human Connectome Project to provide a comprehensive investigation of the biases in functional connectivity (FC) that arise from head motion, breathing motion, cardiac pulsatility, and systemic low-frequency oscillations (SLFOs) associated with changes in heart rate and breathing patterns. In static FC, artifactual connectivity was found in the sensorimotor network due to head motion, as well as in the visual network due to head motion and SLFOs. Breathing motion was found to increase within-hemisphere connectivity, which was attributed to the phase encoding direction. Recurrent patterns in timevarying FC were found to be partly correlated to head motion and SLFOs. Several preprocessing strategies were examined to assess their capability in mitigating the effects of nuisance processes. Nuisance signatures exhibited above-chance levels of subject discriminability; however, fMRI data corrected for these confounds improved subject identifiability.

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“…To complicate matters further, cardiac and respiratory activity are not independent but intricately linked through phenomena like the respiratory sinus arrhythmia. Secondly, several groups have recently shown that cerebral vascular regulation may be coordinated across long-distance brain regions, thus mimicking the structure of neuronal networks ( Bright et al, 2020 ; Chen et al, 2020 ). Finally, every temporal regression of physiological ‘noise’ bears the risk of removing meaningful signal from the data ( Iacovella and Hasson, 2011 ).…”

Section: Discussionmentioning

confidence: 99%

Deciphering the neural signature of human cardiovascular regulation

Manuel

Färber

Gerlach

et al. 2020

eLife

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Cardiovascular regulation is integral to life. Animal studies have identified both neural and endocrine pathways, by which the central nervous system adjusts cardiac output and peripheral vascular resistance to changing physiological demands. The outflow of these pathways is coordinated by various central nervous regions based on afferent information from baroreceptors, chemoreceptors, nociceptors, and circulating hormones, and is modulated by physiologic and behavioural state. In humans, however, knowledge on central cardiovascular regulation below the cortical level is scarce. Here, we show using functional MRI (fMRI) that at least three hypothalamic subsystems are involved in cardiovascular regulation in humans. The rhythmic behaviour of these systems corresponds to high and low frequency oscillations typically seen in blood pressure and heart rate variability.

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Resting-state “physiological networks”

Cited by 130 publications

References 99 publications

Movie viewing elicits rich and reliable brain state dynamics

Movie viewing elicits rich and reliable brain state dynamics

Physiological and head motion signatures in static and time-varying functional connectivity and their subject discriminability

Deciphering the neural signature of human cardiovascular regulation

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