Long-range scaling behaviours of human colonic pressure activities

Yan, Rongguo; Yan, Guozheng; Zhang, Wenqiang; Wang, Long

doi:10.1016/j.cnsns.2007.01.006

Cited by 16 publications

(4 citation statements)

References 20 publications

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“…Another example are temporal fluctuations in colonic pressure. Yan et al [79] observed 1/ fluctuations in the colonic activity of the healthy subjects, while patients hospitalized for slow transit constipation showed colon pressure fluctuations deviating from 1/ noise towards Brownian noise; a condition yielding hardly bearable levels of pain sensation.…”

Section: Pervasive Fractal Scaling In the Bodymentioning

confidence: 99%

A Review of Theoretical Perspectives in Cognitive Science on the Presence of 1/f Scaling in Coordinated Physiological and Cognitive Processes

Wijnants

2014

Journal of Nonlinear Dynamics

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Time series of human performances present fluctuations around a mean value. These fluctuations are typically considered as insignificant, and attributable to random noise. Over recent decades, it became clear that temporal fluctuations possess interesting properties, however, one of which the property of fractal 1/fscaling. 1/fscaling indicates that a measured process extends over a wide range of timescales, suggesting an assembly over multiple scales simultaneously. This paper reviews neurological, physiological, and cognitive studies that corroborate the claim that 1/fscaling is most clearly present in healthy, well-coordinated activities. Prominent hypotheses about the origins of 1/fscaling are confronted with these reviewed studies. It is concluded that 1/fscaling in living systems appears to reflect their genuine complex nature, rather than constituting a coincidental side-effect. The consequences of fractal dynamics extending from the small spatial and temporal scales (e.g., neurons) to the larger scales of human behavior and cognition, are vast, and impact the way in which relevant research questions may be approached. Rather than focusing on specialized isolable subsystems, using additive linear methodologies, nonlinear dynamics, more elegantly so, imply a complex systems methodology, thereby exploiting, rather than rejecting, mathematical concepts that enable describing large sets of natural phenomena.

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Section: Pervasive Fractal Scaling In the Bodymentioning

confidence: 99%

A Review of Theoretical Perspectives in Cognitive Science on the Presence of 1/f Scaling in Coordinated Physiological and Cognitive Processes

Wijnants

2014

Journal of Nonlinear Dynamics

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“…For instance, deviations from 1 /f scaling (either towards white noise or towards Brownian noise) have been found with epilepsy (Ramon, Holmes, Freeman, McElroy, & Rezvanian, 2008 ), heart failure (Goldberger et al, 2002 ), fetal distress syndrome (Goldberger, 1996 ), major-depressive disorder (Linkenkaer-Hansen et al, 2005 ), mania (Bahrami, Seyedsadjadi, Babadi, & Noroozian, 2005 ), attention-deficit-hyperactivity-disorder (Gilden & Hancock, 2007 ), autism (Lai et al, 2010 ), Alzheimer’s disease (Abásolo, Hornero, Gómez, García, & López, 2006 ), Huntington’s disease (West, 2006 ), Parkinson’s disease (Hausdorff, 2007 ), and even slow transit constipation (Yan, Yan, Zhang, & Wang, 2008 ). In each of these studies, healthy controls revealed long-range dynamics reliably closer to 1/ f scaling.…”

Section: / F Scalingmentioning

confidence: 99%

An interaction-dominant perspective on reading fluency and dyslexia

et al. 2012

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The background noise of response times is often overlooked in scientific inquiries of cognitive performances. However, it is becoming widely acknowledged in psychology, medicine, physiology, physics, and beyond that temporal patterns of variability constitute a rich source of information. Here, we introduce two complexity measures (1/f scaling and recurrence quantification analysis) that employ background noise as metrics of reading fluency. These measures gauge the extent of interdependence across, rather than within, cognitive components. In this study, we investigated dyslexic and non-dyslexic word-naming performance in beginning readers and observed that these complexity metrics differentiate reliably between dyslexic and average response times and correlate strongly with the severity of the reading impairment. The direction of change in the introduced metrics suggests that developmental dyslexia resides from dynamical instabilities in the coordination among the many components necessary to read, which could explain why dyslexic readers score below average on so many distinct tasks and modalities.

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“…For instance, deviations from 1 /f scaling, either toward white noise or toward Brownian motion, have been found with epilepsy (Ramon et al, 2008 ), heart failure (Goldberger et al, 2002 ), fetal distress syndrome (Goldberger, 1996 ), major-depressive disorder (Linkenkaer-Hansen et al, 2005 ), mania (Bahrami et al, 2005 ), attention-deficit-hyperactivity-disorder (Gilden and Hancock, 2007 ), developmental dyslexia (Wijnants, 2012 ), autism (Lai et al, 2010 ), Alzheimer’s disease (Abásolo et al, 2006 ), Huntington’s disease (West, 2006 ), Parkinson’s disease (Hausdorff, 2007 ), and slow transit constipation (Yan et al, 2008 ), among other examples. In each of these studies, healthy controls revealed long-range dynamics reliably closer to 1/ f scaling in the respective variables of interest.…”

Section: Introductionmentioning

confidence: 99%

A Trade-Off Study Revealing Nested Timescales of Constraint

Wijnants¹,

Cox²,

Hasselman³

et al. 2012

Front. Physio.

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This study investigates human performance in a cyclic Fitts task at three different scales of observation, either in the presence (difficult condition) or in the absence (easy condition) of a speed–accuracy trade-off. At the fastest scale, the harmonicity of the back and forth movements, which reflects the dissipation of mechanical energy, was measured within the timeframe of single trials. At an intermediate scale, speed and accuracy measures were determined over a trial. The slowest scale pertains to the temporal structure of movement variability, which evolves over multiple trials. In the difficult condition, reliable correlations across each of the measures corroborated a coupling of nested scales of performance. Participants who predominantly emphasized the speed-side of the trade-off (despite the instruction to be both fast and accurate) produced more harmonic movements and clearer 1/f scaling in the produced movement time series, but were less accurate and produced more random variability in the produced movement amplitudes (vice versa for more accurate participants). This implied that speed–accuracy trade-off was accompanied by a trade-off between temporal and spatial streams of 1/f scaling, as confirmed by entropy measures. In the easy condition, however, no trade-offs nor couplings among scales of performance were observed. Together, these results suggest that 1/f scaling is more than just a byproduct of cognition. These findings rather support the claim that interaction-dominant dynamics constitute a coordinative basis for goal-directed behavior.

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Long-range scaling behaviours of human colonic pressure activities

Cited by 16 publications

References 20 publications

A Review of Theoretical Perspectives in Cognitive Science on the Presence of 1/f Scaling in Coordinated Physiological and Cognitive Processes

A Review of Theoretical Perspectives in Cognitive Science on the Presence of 1/f Scaling in Coordinated Physiological and Cognitive Processes

An interaction-dominant perspective on reading fluency and dyslexia

A Trade-Off Study Revealing Nested Timescales of Constraint

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