Association between heart rate variability and fluctuations in resting-state functional connectivity

Chang, Catie; Metzger, Coraline D.; Glover, Gary H.; Duyn, Jeff H.; Heinze, Hans‐Jochen; Walter, Martin

doi:10.1016/j.neuroimage.2012.11.038

Cited by 295 publications

(278 citation statements)

References 75 publications

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“…While activity of the insula has been linked to exercise-induced hypertension (Williamson et al, 1999), bradycardia (Volkow et al, 2000), and heart-rate variability (Critchley et al, 2003;Chang et al, 2013), we are not aware of any studies that have found low-level changes in physiology (eg, tachycardia or hypertension) to change insula connectivity per se (ie, when taking the insular cortex as a seed region of interest).…”

Section: Limitations and Future Directionsmentioning

confidence: 99%

Altered Insula Connectivity under MDMA

Walpola

Nest

Roseman

et al. 2017

Neuropsychopharmacol

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Recent work with noninvasive human brain imaging has started to investigate the effects of 3,4-methylenedioxymethamphetamine (MDMA) on large-scale patterns of brain activity. MDMA, a potent monoamine-releaser with particularly pronounced serotonin-releasing properties, has unique subjective effects that include: marked positive mood, pleasant/unusual bodily sensations and pro-social, empathic feelings. However, the neurobiological basis for these effects is not properly understood, and the present analysis sought to address this knowledge gap. To do this, we administered MDMA-HCl (100 mg p.o.) and, separately, placebo (ascorbic acid) in a randomized, doubleblind, repeated-measures design with twenty-five healthy volunteers undergoing fMRI scanning. We then employed a measure of global resting-state functional brain connectivity and follow-up seed-to-voxel analysis to the fMRI data we acquired. Results revealed decreased right insula/salience network functional connectivity under MDMA. Furthermore, these decreases in right insula/salience network connectivity correlated with baseline trait anxiety and acute experiences of altered bodily sensations under MDMA. The present findings highlight insular disintegration (ie, compromised salience network membership) as a neurobiological signature of the MDMA experience, and relate this brain effect to trait anxiety and acutely altered bodily sensations-both of which are known to be associated with insular functioning.

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Section: Limitations and Future Directionsmentioning

confidence: 99%

Altered Insula Connectivity under MDMA

Walpola

Nest

Roseman

et al. 2017

Neuropsychopharmacol

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“…While we cannot exclude that motion-related or physiological noise is potentially driving the observed FC patterns, the large-scale organization of these patterns, the importance of the precise timing of FC fluctuations as shown by the results with phase-randomized dynamic FC and the minimal correlations with motion parameters, suggest that these patterns are not simply the result of noise. Chang et al (2013b) recently linked heart rate variability to dynamic FC in regions associated with vigilance and arousal, suggesting the contribution of autonomic factors to the observed nonstationarity. Chang and colleagues also showed that alpha band power in EEG was related to FC fluctuations between the DMN and the dorsal attention network (Chang et al, 2013a).…”

Section: Timescales and Potential Confounds Of Dynamic Fcmentioning

confidence: 99%

“…We will use the terms dynamic FC to specifically refer to fluctuating connectivity during rest, and stationary FC to refer to connectivity estimated under the assumption of temporal stationarity. Chang et al (2013b) reported a link between heart rate variability and dynamic FC in some brain regions related to arousal and vigilance, suggesting a neural basis for these fluctuations, and Hutchison et al (in press) showed that these fluctuations persist in anesthetized monkeys in the absence of conscious, cognitive processing.…”

Section: Introductionmentioning

confidence: 99%

Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest

et al. 2013

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Functional connectivity (FC) as measured by correlation between fMRI BOLD time courses of distinct brain regions has revealed meaningful organization of spontaneous fluctuations in the resting brain. However, an increasing amount of evidence points to non-stationarity of FC; i.e., FC dynamically changes over time reflecting additional and rich information about brain organization, but representing new challenges for analysis and interpretation. Here, we propose a data-driven approach based on principal component analysis (PCA) to reveal hidden patterns of coherent FC dynamics across multiple subjects. We demonstrate the feasibility and relevance of this new approach by examining the differences in dynamic FC between 13 healthy control subjects and 15 minimally disabled relapse-remitting multiple sclerosis patients. We estimated whole-brain dynamic FC of regionally-averaged BOLD activity using sliding time windows. We then used PCA to identify FC patterns, termed "eigenconnectivities", that reflect meaningful patterns in FC fluctuations. We then assessed the contributions of these patterns to the dynamic FC at any given time point and identified a network of connections centered on the default-mode network with altered contribution in patients. Our results complement traditional stationary analyses, and reveal novel insights into brain connectivity dynamics and their modulation in a neurodegenerative disease.© 2013 Elsevier Inc. All rights reserved. IntroductionSpontaneous fluctuations of the functional MRI (fMRI) bloodoxygen-level-dependent (BOLD) signal are not random but temporally coherent between distinct brain regions. While these fluctuations were long considered as "noise", Biswal et al. (1995) showed that fluctuations of motor areas were correlated even in the absence of a motor task. Several other networks of coherent BOLD activity between remote brain regions have since been identified, including visual, auditory, language and attention networks, and a network called the "default mode network" (DMN) which reduces its activity during attentiondemanding tasks. These networks of regions with coherent activity during rest are consistent across subjects and closely resemble the brain's functional organization of evoked responses (Damoiseaux et al., 2006;Fox and Raichle, 2007;Laird et al., 2011;Smith et al., 2009). Coherent BOLD activity persists during sleep and in anesthetized monkeys, suggesting that it reflects a fundamental property of the brain's functional organization (Larson-Prior et al., 2009;Vincent et al., 2007).Coherent BOLD activity, known as "functional connectivity" (FC), is modulated by learning (Bassett et al., 2011), cognitive and affective states (Cribben et al., 2012;Ekman et al., 2012;Eryilmaz et al., 2011;Richiardi et al., 2011;Shirer et al., 2012) and also spontaneously Chang and Glover, 2010; Kitzbichler et al., 2009). Chang andGlover (2010) showed that FC between the posterior cingulate cortex, a key region of the default mode network, and various other brain regions was highly dy...

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“…B 369: 20130208 ventral anterior cingulate and amygdala with heart-rate variability, independently of the nature of the task (emotional or motor). The implication of these two structures is confirmed at rest [45,46]. It is, however, difficult to infer from such studies whether the neural correlates of heart-rate variability represent neural responses to afferent cardiac information relevant to the subjective frame, or simply efferent neural activity contributing to heart-rate regulation.…”

Section: The Biological Basis Of the Subjective Framementioning

confidence: 99%

The neural subjective frame: from bodily signals to perceptual consciousness

Park

Tallon‐Baudry

2014

Phil. Trans. R. Soc. B

174

133

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The report ‘I saw the stimulus’ operationally defines visual consciousness, but where does the ‘I’ come from? To account for the subjective dimension of perceptual experience, we introduce the concept of the neural subjective frame. The neural subjective frame would be based on the constantly updated neural maps of the internal state of the body and constitute a neural referential from which first person experience can be created. We propose to root the neural subjective frame in the neural representation of visceral information which is transmitted through multiple anatomical pathways to a number of target sites, including posterior insula, ventral anterior cingulate cortex, amygdala and somatosensory cortex. We review existing experimental evidence showing that the processing of external stimuli can interact with visceral function. The neural subjective frame is a low-level building block of subjective experience which is not explicitly experienced by itself which is necessary but not sufficient for perceptual experience. It could also underlie other types of subjective experiences such as self-consciousness and emotional feelings. Because the neural subjective frame is tightly linked to homeostatic regulations involved in vigilance, it could also make a link between state and content consciousness.

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Association between heart rate variability and fluctuations in resting-state functional connectivity

Cited by 295 publications

References 75 publications

Altered Insula Connectivity under MDMA

Altered Insula Connectivity under MDMA

Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest

The neural subjective frame: from bodily signals to perceptual consciousness

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