Ranking brain areas encoding the perceived level of pain from fMRI data

Favilla, Stefania; Huber, Alexa; Pagnoni, Giuseppe; Lui, Fausta; Facchin, Patrizia; Cocchi, Marina; Baraldi, Patrizia; Porro, Carlo Adolfo

doi:10.1016/j.neuroimage.2014.01.001

Cited by 43 publications

(43 citation statements)

References 72 publications

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“…We emphasize this because a straightforward comparison of our present results with past studies that have explored brain activation with various emotions, such as those of fearful human faces, or of pain, or of pleasure, is neither straightforward nor easy. Moreover, our results did not show any activity in brain areas such as the amygdala and the insula, which have been associated with the experience of fear and threat (Mattavelli et al, 2013; Aube et al, 2014) (although the great majority addressing this question have concentrated on faces) or perceived pain (Cheon et al, 2013; Ellingsen et al, 2013; Favilla et al, 2014), which engages the anterior cingulate cortex, de-activated in our study. Hence the overall pattern of activation in this study is significantly different from the overall activity observed in studies dealing with pain, threat, or fear, each one of which qualifies—at least lexically—as constituting an element in the experience of the sublime.…”

Section: Discussionmentioning

confidence: 47%

A neurobiological enquiry into the origins of our experience of the sublime and beautiful

Ishizu

Zeki

2014

Front. Hum. Neurosci.

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Philosophies of aesthetics have posited that experience of the sublime—commonly but not exclusively derived from scenes of natural grandeur—is distinct from that of beauty and is a counterpoint to it. We wanted to chart the pattern of brain activity which correlates with the declared intensity of experience of the sublime, and to learn whether it differs from the pattern that correlates with the experience of beauty, reported in our previous studies (e.g., Ishizu and Zeki, 2011). 21 subjects participated in a functional magnetic resonance imaging experiment. Prior to the experiment, they viewed pictures of landscapes, which they rated on a scale of 1–5, with 5 being the most sublime and 1 being the least. This allowed us to select, for each subject, five sets of stimuli—from ones experienced as very sublime to those experienced as not at all sublime—which subjects viewed and re-rated in the scanner while their brain activity was imaged. The results revealed a distinctly different pattern of brain activity from that obtained with the experience of beauty, with none of the areas active with the latter experience also active during experience of the sublime. Sublime and beautiful experiences thus appear to engage separate and distinct brain systems.

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Section: Discussionmentioning

confidence: 47%

A neurobiological enquiry into the origins of our experience of the sublime and beautiful

Ishizu

Zeki

2014

Front. Hum. Neurosci.

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“…The PUT, in contrast to the CN, is classically assigned to motor processes and control (Arsalidou et al, 2013a; Leisman and Melillo, 2013). It was also shown to be directly related to pain sensation (Davis et al, 2002; Favilla et al, 2014) and intensity discrimination (Oshiro et al, 2009). At first glance, motor as well as pain related properties seem to be diminished, and reward processing and the capacity of cognitive resources seems to be reduced during psychosocial stress processing.…”

Section: Discussionmentioning

confidence: 99%

Psychosocial versus physiological stress — Meta-analyses on deactivations and activations of the neural correlates of stress reactions

et al. 2015

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Stress is present in everyday life in various forms and situations. Two stressors frequently investigated are physiological and psychosocial stress. Besides similar subjective and hormonal responses, it has been suggested that they also share common neural substrates. The current study used activation-likelihood-estimation meta-analysis to test this assumption by integrating results of previous neuroimaging studies on stress processing. Reported results are cluster-level FWE corrected. The inferior frontal gyrus (IFG) and the anterior insula (AI) were the only regions that demonstrated overlapping activation for both stressors. Analysis of physiological stress showed consistent activation of cognitive and affective components of pain processing such as the insula, striatum, or the middle cingulate cortex. Contrarily, analysis across psychosocial stress revealed consistent activation of the right superior temporal gyrus and deactivation of the striatum. Notably, parts of the striatum appeared to be functionally specified: the dorsal striatum was activated in physiological stress, whereas the ventral striatum was deactivated in psychosocial stress. Additional functional connectivity and decoding analyses further characterized this functional heterogeneity and revealed higher associations of the dorsal striatum with motor regions and of the ventral striatum with reward processing. Based on our meta-analytic approach, activation of the IFG and the AI seems to indicate a global neural stress reaction. While physiological stress activates a motoric fight-or-flight reaction, during psychosocial stress attention is shifted towards emotion regulation and goal-directed behavior, and reward processing is reduced. Our results show the significance of differentiating physiological and psychosocial stress in neural engagement. Furthermore, the assessment of deactivations in addition to activations in stress research is highly recommended.

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“…HACs in SMA and PCL were chosen since they are part of well-known motor programming and somatosensory perception and pain (DeLong and Wichmann, 2009;Favilla et al, 2014). SgC was chosen since it was part of the emotion and limbic networks implicated in major depressive disorders ( Johansen-Berg et al, 2008).…”

Section: Group Rsfc Maps Of Selected Hacsmentioning

confidence: 99%

“…3-5) that resting-state fluctuations between different constituent areas of each of the sensorimotor, pain, and emotion networks (Crosson, 2013;DeLong and Wichmann, 2009;Drevets and Raichle, 1998;Favilla et al, 2014;Postuma and Dagher, 2006) are anticorrelated with respect to each other at rest. The functional connections highlighted by these anticorrelations are subserved by wellknown direct anatomical pathways connecting these networks ( Johansen-Berg et al, 2008;Vergani et al, 2014).…”

Section: Hacs and Mechanisms Subserving Associated Anticorrelation Mapsmentioning

confidence: 99%

“…4) significant anticorrelation with parts of the anterior cingulate, anterior insula, putamen, thalamus, amygdala and medial temporal lobe, and cerebellum at rest. These areas are part of somatosensory and pain networks (Favilla et al, 2014;Postuma and Dagher, 2006) and the observed anticorrelations may serve to suppress excitability of these networks during the resting-state scan. Similarly, the HAC in SgC (Fig.…”

Section: Hacs and Mechanisms Subserving Associated Anticorrelation Mapsmentioning

confidence: 99%

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Hubs of Anticorrelation in High-Resolution Resting-State Functional Connectivity Network Architecture

et al. 2015

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A major focus of brain research recently has been to map the resting-state functional connectivity (rsFC) network architecture of the normal brain and pathology through functional magnetic resonance imaging. However, the phenomenon of anticorrelations in resting-state signals between different brain regions has not been adequately examined. The preponderance of studies on resting-state fMRI (rsFMRI) have either ignored anticorrelations in rsFC networks or adopted methods in data analysis, which have rendered anticorrelations in rsFC networks uninterpretable. The few studies that have examined anticorrelations in rsFC networks using conventional methods have found anticorrelations to be weak in strength and not very reproducible across subjects. Anticorrelations in rsFC network architecture could reflect mechanisms that subserve a number of important brain processes. In this preliminary study, we examined the properties of anticorrelated rsFC networks by systematically focusing on negative cross-correlation coefficients (CCs) among rsFMRI voxel time series across the brain with graph theory-based network analysis. A number of methods were implemented to enhance the neuronal specificity of resting-state functional connections that yield negative CCs, although at the cost of decreased sensitivity. Hubs of anticorrelation were seen in a number of cortical and subcortical brain regions. Examination of the anticorrelation maps of these hubs indicated that negative CCs in rsFC network architecture highlight a number of regulatory interactions between brain networks and regions, including reciprocal modulations, suppression, inhibition, and neurofeedback.

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Ranking brain areas encoding the perceived level of pain from fMRI data

Cited by 43 publications

References 72 publications

A neurobiological enquiry into the origins of our experience of the sublime and beautiful

A neurobiological enquiry into the origins of our experience of the sublime and beautiful

Psychosocial versus physiological stress — Meta-analyses on deactivations and activations of the neural correlates of stress reactions

Hubs of Anticorrelation in High-Resolution Resting-State Functional Connectivity Network Architecture

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