Oxytocin modulates the intrinsic dynamics between attention-related large scale networks

Xin, Fei; Zhou, Feng; Zhou, Xinqi; Ma, Xiaole; Geng, Yayuan; Zhao, Weihua; Yao, Shuxia; Dong, Debo; Biswal, Bharat B.; Kendrick, Keith M.; Becker, Benjamin

doi:10.1101/371971

Cited by 11 publications

(12 citation statements)

References 117 publications

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“…Determining the co‐activation and intrinsic connectivity networks of the identified region in the left anterior insula cortex revealed that it represents a core node of a bilateral network encompassing anterior insular and adjacent ventrolateral prefrontal regions as well as anterior cingulate and midcingulate regions. This network clearly resembles the rs‐fMRI “salience” network, anchored in the anterior insula and the midcingulate cortex (Seeley et al, 2007), which plays an important role in the regulation of interoceptive versus external guided attention (Xin et al, 2021; Yao et al, 2018) and the guidance of flexible behavior (Menon & Uddin, 2010; Seeley et al, 2007). Abnormalities in this network have been repeatedly observed in chronic pain (Cauda et al, 2009; Hemington, Wu, Kucyi, Inman, & Davis, 2016; Wu, Inman, & Davis, 2013) and neuropsychiatric conditions, including depression (Manoliu et al, 2014; Shao et al, 2018), anxiety (Geng, Li, Chen, Li, & Gu, 2016), or addiction (Klugah‐Brown et al, 2020, 2021) which are commonly found to be co‐morbid in chronic pain (Bair, Robinson, Katon, & Kroenke, 2003; Finan & Smith, 2013).…”

Section: Discussionmentioning

confidence: 85%

Dysregulated anterior insula reactivity as robust functional biomarker for chronic pain—Meta‐analytic evidence from neuroimaging studies

Ferraro

Klugah‐Brown

Tench

et al. 2021

Human Brain Mapping

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Neurobiological pain models propose that chronic pain is accompanied by neurofunctional changes that mediate pain processing dysfunctions. In contrast, meta‐analyses of neuroimaging studies in chronic pain conditions have not revealed convergent evidence for robust alterations during experimental pain induction. Against this background, the present neuroimaging meta‐analysis combined three different meta‐analytic approaches with stringent study selection criteria for case–control functional magnetic resonance imaging experiments during acute pain processing with a focus on chronic pain disorders. Convergent neurofunctional dysregulations in chronic pain patients were observed in the left anterior insula cortex. Seed‐based resting‐state functional connectivity based on a large publicly available dataset combined with a meta‐analytic task‐based approach identified the anterior insular region as a key node of an extended bilateral insula‐fronto‐cingular network, resembling the salience network. Moreover, the meta‐analytic decoding showed that this region presents a high probability to be specifically activated during pain‐related processes, although we cannot exclude an involvement in autonomic processes. Together, the present findings indicate that dysregulated left anterior insular activity represents a robust neurofunctional maladaptation and potential treatment target in chronic pain disorders.

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Section: Discussionmentioning

confidence: 85%

Dysregulated anterior insula reactivity as robust functional biomarker for chronic pain—Meta‐analytic evidence from neuroimaging studies

Ferraro

Klugah‐Brown

Tench

et al. 2021

Human Brain Mapping

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“…The cognitive processes of distancing reappraisal during the anticipation period mainly involves attentional control, whereas the stimulus presentation period additionally involves self-projection, affective self-reflection, and cognitive control (Koenigsberg et al, 2010;Ochsner et al, 2012;Powers and LaBar, 2019). Combined with findings from our prior resting state study (Xin et al, 2018), it may be hypothesized that OXT may modulating pre-stimulus attentional control of threatening social information. With respect to behavior performance during emotion regulation, no effects of OXT per se were observed, although the high anxiety group exhibited a marginal significant improvement of reappraisal success following OXT, suggesting that OXT may have the potential to improve cognitive emotion regulation in high anxiety individuals.…”

Section: Oxytocin Differentially Modulated Amygdala Responses In Highmentioning

confidence: 81%

Oxytocin differentially modulates amygdala responses during top-down and bottom-up aversive anticipation

Xin

Zhou

Dong

et al. 2020

Preprint

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The ability to successfully regulate negative emotions such as fear and anxiety is vital for mental health.The neuropeptide oxytocin (OXT) acts as important modulator of emotion regulation, as reflected by reduced amygdala responses but increased amygdala-prefrontal cortex (PFC) functional connectivity in response to threatening stimuli. The present randomized, between-subject, placebo (PLC)controlled pharmacological study combined intranasal administration of OXT with functional MRI during an explicit (cognitive) emotion regulation (i.e. distancing reappraisal) paradigm in 65 healthy male participants to investigate the modulatory effects of OXT on both bottom-up and top-down emotion regulation. OXT attenuated the activation in posterior insular cortex and amygdala during anticipation of top-down regulation of predictable threat stimuli in participants with high trait anxiety, providing evidence to support the anxiolytic action of OXT. In contrast, OXT enhanced amygdala activity during bottom-up anticipation of an unpredictable threat stimulus in participants with low trait anxiety. OXT may thus facilitate top-down goal-directed attention by attenuating amygdala activity in high anxiety individuals, while promote bottom-up attention/vigilance to unexpected threat by enhancing anticipatory amygdala activity in low anxiety individuals. The opposite effects of OXT on anticipatory amygdala activation in high versus low anxiety individuals may suggest a baseline anxiety level dependent mechanism via which OXT promotes optimal levels of amygdala activation during the anticipation of an imminent threat. OXT may thus have the potential to promote an adaptive balance between bottom-up and top-down attention systems depending on individual levels of pre-treatment trait anxiety levels. 2017; Zilverstand et al., 2017). Behavioral interventions (Campbell-Sills and Barlow, 2007; Gross et al., 2006; Jazaieri et al., 2015), neurofeedback targeting the amygdala-prefrontal circuits (Cohen Kadosh et al., 2016; Zhao et al., 2019) and pharmacological agents primarily targeting serotonergic and GABAergic neurotransmission (Farach et al., 2012; Singewald et al., 2015) can facilitate the regulation of negative emotions, including anxiety and fear. However, not all patients respond adequately to the currently available treatment strategies and the pharmacological interventions may induce negative side-effects which often limit compliance with the treatment protocols, thus novel strategies to improve emotion regulation are urgently needed.Emotion generation and regulation involves the interaction of intrinsic/automatic bottom-up processes and controlled/deliberately top-down processes (Ochsner and Gross, 2005;Ochsner and Gross, 2007;Suri et al., 2013). Bottom-up processes are stimulus-driven and initiated by salient stimuli in the environment. In contrast, top-down processes are goal-driven and context-dependent (Beck and Kastner, 2009;Desimone and Duncan, 1995;Sussman et al., 2016a). During both the (pre-stimulus) anticipation and adven...

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“…However, without prior knowledge, the unsupervised nature might lead to challenges in explaining the detected communities and clarifying their links with brain function and behavior. Other approaches where prior knowledge can be combined with the independent component analysis have been adopted to detect brain networks [5,59], resulting from a more robust detection of brain networks. Incorporating prior knowledge in community detection thus is one of the future directions in brain network science.…”

Section: Clustering Of Dynamical Coupling Patternsmentioning

confidence: 99%

Kuramoto model based analysis reveals oxytocin effects on brain network dynamics

Zheng¹,

Liang²,

Qu³

et al. 2021

Preprint

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The oxytocin effects on large-scale brain networks such as Default Mode Network (DMN) and Frontoparietal Network (FPN) have been largely studied using fMRI data. However, those studies are mainly based on the statistical correlation or bayesian causality inference, lacking physical and neuroscience level interpretability. Here, we propose a Kuramoto model physical-based framework to investigate oxytocin effects on the phase dynamical neural coupling in DMN and FPN. Tested on fMRI data from 59 participants administrated with either oxytocin or placebo, we demonstrate that oxytocin changes the topology of brain communities in DMN and FPN, leading to higher synchronization in the DMN and lower synchronization in the FPN, as well as a higher variance of the coupling strength within the DMN and more flexible coupling patterns across time. These results together imply that oxytocin may increase the capability to overcome the dispersion of corresponding intrinsic oscillations and yield flexibility in neural synchrony under various social contexts, providing new evidence to account for oxytocin modulated social behaviors. Our proposed Kuramoto model-based framework can be a potential tool in network neuroscience and offers physical and neural insights into phase dynamics in the brain.

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Oxytocin modulates the intrinsic dynamics between attention-related large scale networks

Cited by 11 publications

References 117 publications

Dysregulated anterior insula reactivity as robust functional biomarker for chronic pain—Meta‐analytic evidence from neuroimaging studies

Dysregulated anterior insula reactivity as robust functional biomarker for chronic pain—Meta‐analytic evidence from neuroimaging studies

Oxytocin differentially modulates amygdala responses during top-down and bottom-up aversive anticipation

Kuramoto model based analysis reveals oxytocin effects on brain network dynamics

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