Assessing Complexity in Physiological Systems through Biomedical Signals Analysis

Castiglioni, Paolo; Faes, Luca; Valenza, Gaetano

doi:10.3390/e22091005

Cited by 10 publications

(9 citation statements)

References 16 publications

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“…First, the use of asymptomatic patients (“healthy volunteers'') as a study cohort brings forth a question as to whether a measured experimental parameter would be anticipated to shift away from a normal (“healthy”) baseline value, to yield quantitative outcomes or measurable results, with intervention. Complexity within a biological system is considered a ubiquitous phenomenon that allows living systems to adapt to external perturbations whilst preserving homeostasis [ 407 ]. While normalization of an abnormal parameter would certainly be hypothesized or anticipated in a cohort of symptomatic/abnormal study cohort, the entropy of a self-governing system within a normal cohort would be expected to utilize feedback loops to maintain a balanced overall constellation of biological setpoints with no net change (dynamic equilibrium).…”

Section: Reviewmentioning

confidence: 99%

Vertebral Subluxation and Systems Biology: An Integrative Review Exploring the Salutogenic Influence of Chiropractic Care on the Neuroendocrine-Immune System

Haas,

Chung,

Kent

et al. 2024

Cureus

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In this paper we synthesize an expansive body of literature examining the multifaceted influence of chiropractic care on processes within and modulators of the neuroendocrine-immune (NEI) system, for the purpose of generating an inductive hypothesis regarding the potential impacts of chiropractic care on integrated physiology. Taking a broad, interdisciplinary, and integrative view of two decades of research-documented outcomes of chiropractic care, inclusive of reports ranging from systematic and meta-analysis and randomized and observational trials to case and cohort studies, this review encapsulates a rigorous analysis of research and suggests the appropriateness of a more integrative perspective on the impact of chiropractic care on systemic physiology. A novel perspective on the salutogenic, health-promoting effects of chiropractic adjustment is presented, focused on the improvement of physical indicators of well-being and adaptability such as blood pressure, heart rate variability, and sleep, potential benefits that may be facilitated through multiple neurologically mediated pathways. Our findings support the biological plausibility of complex benefits from chiropractic intervention that is not limited to simple neuromusculoskeletal outcomes and open new avenues for future research, specifically the exploration and mapping of the precise neural pathways and networks influenced by chiropractic adjustment.

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Section: Reviewmentioning

confidence: 99%

Vertebral Subluxation and Systems Biology: An Integrative Review Exploring the Salutogenic Influence of Chiropractic Care on the Neuroendocrine-Immune System

Haas,

Chung,

Kent

et al. 2024

Cureus

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“…This finding asks for further validations on an extended dataset. Additional complexity measures could also be tested [33,34]. Moreover, bivariate statistics could characterize the connections among the activities under different electrodes [35], opening the possibility of deepening the study of information transfer in the network.…”

Section: Conclusion and Further Workmentioning

confidence: 99%

Approximate Entropy of Spiking Series Reveals Different Dynamical States in Cortical Assemblies

2022

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Self-organized criticality theory proved that information transmission and computational performances of neural networks are optimal in critical state. By using recordings of the spontaneous activity originated by dissociated neuronal assemblies coupled to Micro-Electrode Arrays (MEAs), we tested this hypothesis using Approximate Entropy (ApEn) as a measure of complexity and information transfer. We analysed 60 min of electrophysiological activity of three neuronal cultures exhibiting either sub-critical, critical or super-critical behaviour. The firing patterns on each electrode was studied in terms of the inter-spike interval (ISI), whose complexity was quantified using ApEn. We assessed that in critical state the local complexity (measured in terms of ApEn) is larger than in sub- and super-critical conditions (mean ± std, ApEn about 0.93 ± 0.09, 0.66 ± 0.18, 0.49 ± 0.27, for the cultures in critical, sub-critical and super-critical state, respectively—differences statistically significant). Our estimations were stable when considering epochs as short as 5 min (pairwise cross-correlation of spatial distribution of mean ApEn of 94 ± 5%). These preliminary results indicate that ApEn has the potential of being a reliable and stable index to monitor local information transmission in a neuronal network during maturation. Thus, ApEn applied on ISI time series appears to be potentially useful to reflect the overall complex behaviour of the neural network, even monitoring a single specific location.

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“…baroreflex) [70]. The extensive review and description of these methods is not a goal of this perspective article, but can be found in recent reviews [73,74,76,[79][80][81][82][83]. Most of these methods characterize the sensitivity of the system to the initial conditions and the resulting degree of predictability of the outputs.…”

Section: Assessing Nonlinearity and Complexity In The Cardiovascular Systemmentioning

confidence: 99%

Heart rate variability and the dawn of complex physiological signal analysis: methodological and clinical perspectives

Saul

Valenza

2021

Phil. Trans. R. Soc. A.

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Spontaneous beat-to-beat variations of heart rate (HR) have intrigued scientists and casual observers for centuries; however, it was not until the 1970s that investigators began to apply engineering tools to the analysis of these variations, fostering the field we now know as heart rate variability or HRV . Since then, the field has exploded to not only include a wide variety of traditional linear time and frequency domain applications for the HR signal, but also more complex linear models that include additional physiological parameters such as respiration, arterial blood pressure, central venous pressure and autonomic nerve signals. Most recently, the field has branched out to address the nonlinear components of many physiological processes, the complexity of the systems being studied and the important issue of specificity for when these tools are applied to individuals. When the impact of all these developments are combined, it seems likely that the field of HRV will soon begin to realize its potential as an important component of the toolbox used for diagnosis and therapy of patients in the clinic. This article is part of the theme issue 'Advanced computation in cardiovascular physiology: new challenges and opportunities'.

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Assessing Complexity in Physiological Systems through Biomedical Signals Analysis

Abstract: The idea that most physiological systems are complex has become increasingly popular in recent decades [...]

Cited by 10 publications

References 16 publications

Vertebral Subluxation and Systems Biology: An Integrative Review Exploring the Salutogenic Influence of Chiropractic Care on the Neuroendocrine-Immune System

Vertebral Subluxation and Systems Biology: An Integrative Review Exploring the Salutogenic Influence of Chiropractic Care on the Neuroendocrine-Immune System

Approximate Entropy of Spiking Series Reveals Different Dynamical States in Cortical Assemblies

Heart rate variability and the dawn of complex physiological signal analysis: methodological and clinical perspectives

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