Hierarchical nonlinear dynamics of human attention

Rabinovich, M. I.; Tristan, Irma; Varona, Pablo

doi:10.1016/j.neubiorev.2015.04.001

Cited by 27 publications

(14 citation statements)

References 148 publications

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“…Surprisingly, our results draw attention to a potential link between pain-attention dynamic states and modeled sequences of two psychological components of effort, namely cognition and emotion (Rabinovich et al, 2010, 2015), as well as the dynamical signatures of several brain functions and mental diseases (Rabinovich and Varona, 2011). This is an important finding in that it demonstrates that the phenomenological subjective experiences, so called qualia (Chalmers, 1996), are grounded in identical dynamical principles to the neural tissue, i.e., the brain.…”

Section: Discussionmentioning

confidence: 73%

“…Consequently, perception of pain and attention to pain seem to be multidimensional and interrelated through hierarchical dynamical processes that highly depend on sensory cues (i.e., painful locations) (Rabinovich et al, 2015). In the light of these findings, it is important to note that attention does not appear to be a static capacity but rather a process that involves the attentional “reorienting” from one input (i.e., one painful location) or modality (i.e., pain intensity or quality) to another.…”

Section: Discussionmentioning

confidence: 99%

“…In the light of these findings, it is important to note that attention does not appear to be a static capacity but rather a process that involves the attentional “reorienting” from one input (i.e., one painful location) or modality (i.e., pain intensity or quality) to another. Therefore, the perception process requires a short-term integration between a number of continuously interplaying components such as the environmental cues, the body and the brain itself (Rabinovich et al, 2015). …”

Section: Discussionmentioning

confidence: 99%

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Metastable Pain-Attention Dynamics during Incremental Exhaustive Exercise

et al. 2017

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Background: Pain attracts attention on the bodily regions. Attentional allocation toward pain results from the neural communication across the brain-wide network “connectome” which consists of pain-attention related circuits. Connectome is intrinsically dynamic and spontaneously fluctuating on multiple time-scales. The present study delineates the pain-attention dynamics during incremental cycling performed until volitional exhaustion and investigates the potential presence of nested metastable dynamics.Method: Fifteen young and physically active adults completed a progressive incremental cycling test and reported their discomfort and pain on a body map every 15 s.Results: The analyses revealed that the number of body locations with perceived pain and discomfort increased throughout five temporal windows reaching an average of 4.26 ± 0.59 locations per participant. A total of 37 different locations were reported and marked as painful for all participants throughout the cycling task. Significant differences in entropy were observed between all temporal windows except the fourth and fifth windows. Transient dynamics of bodily locations with perceived discomfort and pain were spanned by three principal components. The metastable dynamics of the body pain locations groupings over time were discerned by three time scales: (1) the time scale of shifts (15 s); (2) the time scale of metastable configurations (100 s), and (3) the observational time scale (1000 s).Conclusion: The results of this study indicate that body locations perceived as painful increase throughout the incremental cycling task following a switching metastable and nested dynamics. These findings support the view that human brain is intrinsically organized into active, mutually interacting complex and nested functional networks, and that subjective experiences inherent in pain perception depict identical dynamical principles to the neural tissue in the brain.

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Section: Discussionmentioning

confidence: 73%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Metastable Pain-Attention Dynamics during Incremental Exhaustive Exercise

et al. 2017

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“…The middle panel in figure 4a illustrates the coexistence of interacting modalities: attention is shared nearly identically between different modalities continuously in time. In both cases, each event includes binding patterns of different modalities [56].…”

Section: (B) Modality Binding Inside the Episodesmentioning

confidence: 99%

Hierarchical dynamics of informational patterns and decision-making

Varona

Rabinovich

2016

Proc. R. Soc. B.

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Traditional studies on the interaction of cognitive functions in healthy and disordered brains have used the analyses of the connectivity of several specialized brain networks-the functional connectome. However, emerging evidence suggests that both brain networks and functional spontaneous brain-wide network communication are intrinsically dynamic. In the light of studies investigating the cooperation between different cognitive functions, we consider here the dynamics of hierarchical networks in cognitive space. We show, using an example of behavioural decision-making based on sequential episodic memory, how the description of metastable pattern dynamics underlying basic cognitive processes helps to understand and predict complex processes like sequential episodic memory recall and competition among decision strategies. The mathematical images of the discussed phenomena in the phase space of the corresponding cognitive model are hierarchical heteroclinic networks. One of the most important features of such networks is the robustness of their dynamics. Different kinds of instabilities of these dynamics can be related to 'dynamical signatures' of creativity and different psychiatric disorders. The suggested approach can also be useful for the understanding of the dynamical processes that are the basis of consciousness.

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“…On the other hand, the perception of pain requires a short-term integration between a number of continuously interplaying components such as environment, periphery and the brain itself. Moreover, perception of pain and attention to pain per se are multidimensional and tend to interrelate through hierarchical dynamical process (Rabinovich, Tristan, & Varona, 2015). Spontaneous attentional fluctuations toward and "away from pain" and their neural mechanisms can be termed "perception decoupling" or "disengagement of attention" from perception (Schooler et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Idiosyncratic Pain Patterns During Exhaustive Exercise

Slapšinskaitė¹,

Razón²,

Balagué³

et al. 2018

GJHS

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The purpose of this study was to investigate the dynamical distribution of pain in constant cycling and running tasks up to the point of exhaustion. Ten participants (M = 20.8 years old, SD = ± 1.03) ran and cycled at a "hard" intensity level (e.g., Borg's RPE (6-20) = 15). During task performance, participants reported their pain on a body map every 15s. Three distinct and consistent pain distribution patterns emerged: adders who added pain locations, jumpers who switched among pain locations, and adders-jumpers who both added and switched among pain locations throughout the effort. These distribution patterns had a significant effect (p < .001) on pain stability (i.e., the time spent within the same pain location) and on total number of changes in pain locations (p < 0.04); which differed between the adders and jumpers (p < .035). Task endurance was associated with the total number of changes of pain locations (r = .46, p < .04). Finally, a significant effect of time on the number of symmetric locations χ2 (10,4) = 16.17, p < .003 emerged in running. Idiosyncratic pain distribution patterns with more switching among pain locations throughout effort seemed to increase time on task. Further scientific evidence is needed for confirming the extent to which idiosyncratic pain distribution patterns account for and/or help pain management within clinical settings.

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Hierarchical nonlinear dynamics of human attention

Cited by 27 publications

References 148 publications

Metastable Pain-Attention Dynamics during Incremental Exhaustive Exercise

Metastable Pain-Attention Dynamics during Incremental Exhaustive Exercise

Hierarchical dynamics of informational patterns and decision-making

Idiosyncratic Pain Patterns During Exhaustive Exercise

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