111 results match your criteria control-theory perspective


A Thematic Analysis of Multiple Pathways Between Nature Engagement Activities and Well-Being.

Front Psychol 2021 26;12:580992. Epub 2021 Mar 26.

Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, United Kingdom.

Research studies have identified various different mechanisms in the effects of nature engagement on well-being and mental health. However, rarely are multiple pathways examined in the same study and little use has been made of first-hand, experiential accounts through interviews. Therefore, a semi-structured interview was conducted with seven female students who identified the role of nature engagement in their well-being and mental health. Read More

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Does high state anxiety exacerbate distractor interference?

Hum Mov Sci 2021 Apr 23;76:102773. Epub 2021 Feb 23.

University of Exeter, School of Sport and Health Sciences, Heavitree Road, Exeter EX1 2LU, UK.

Attentional Control Theory states that anxiety can cause attention to be allocated to irrelevant sources of information by hindering the ability to control attention and focus on the information that matters. In a separate line of inquiry, action-centred views of attention state that non-target distractors involuntarily activate response codes that may cause interference with target-directed movements (distractor interference effect). Due to the proposed negative effects of anxiety on attentional control, we examined whether anxiety could also modulate distractor interference. Read More

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Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective.

IEEE Trans Neural Netw Learn Syst 2021 Jan 15;PP. Epub 2021 Jan 15.

Recent decades have witnessed a trend that control-theoretical techniques are widely leveraged in various areas, e.g., design and analysis of computational models. Read More

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January 2021

Intelligent automated drug administration and therapy: future of healthcare.

Drug Deliv Transl Res 2021 Jan 14. Epub 2021 Jan 14.

Centre for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi, India.

In the twenty-first century, the collaboration of control engineering and the healthcare sector has matured to some extent; however, the future will have promising opportunities, vast applications, and some challenges. Due to advancements in processing speed, the closed-loop administration of drugs has gained popularity for critically ill patients in intensive care units and routine life such as personalized drug delivery or implantable therapeutic devices. For developing a closed-loop drug delivery system, the control system works with a group of technologies like sensors, micromachining, wireless technologies, and pharmaceuticals. Read More

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January 2021

Models of communication and control for brain networks: distinctions, convergence, and future outlook.

Netw Neurosci 2020 1;4(4):1122-1159. Epub 2020 Nov 1.

Department of Bioengineering, University of Pennsylvania, Philadelphia, PA USA.

Recent advances in computational models of signal propagation and routing in the human brain have underscored the critical role of white-matter structure. A complementary approach has utilized the framework of network control theory to better understand how white matter constrains the manner in which a region or set of regions can direct or control the activity of other regions. Despite the potential for both of these approaches to enhance our understanding of the role of network structure in brain function, little work has sought to understand the relations between them. Read More

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November 2020

The Psychology of Reaching: Action Selection, Movement Implementation, and Sensorimotor Learning.

Annu Rev Psychol 2021 01 25;72:61-95. Epub 2020 Sep 25.

Department of Psychology and Helen Wills Neuroscience Institute, University of California, Berkeley, California 94720, USA; email:

The study of motor planning and learning in humans has undergone a dramatic transformation in the 20 years since this journal's last review of this topic. The behavioral analysis of movement, the foundational approach for psychology, has been complemented by ideas from control theory, computer science, statistics, and, most notably, neuroscience. The result of this interdisciplinary approach has been a focus on the computational level of analysis, leading to the development of mechanistic models at the psychological level to explain how humans plan, execute, and consolidate skilled reaching movements. Read More

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January 2021

Achieving stable dynamics in neural circuits.

PLoS Comput Biol 2020 08 7;16(8):e1007659. Epub 2020 Aug 7.

The Picower Institute for Learning & Memory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America.

The brain consists of many interconnected networks with time-varying, partially autonomous activity. There are multiple sources of noise and variation yet activity has to eventually converge to a stable, reproducible state (or sequence of states) for its computations to make sense. We approached this problem from a control-theory perspective by applying contraction analysis to recurrent neural networks. Read More

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Advancing nursing practice for improved health outcomes using the principles of perceptual control theory.

Nurs Philos 2020 Jul 27;21(3):e12301. Epub 2020 May 27.

Institute of Global Health Equity Research, University of Global Health Equity, Kigali, Rwanda.

This article describes how an empirically supported theory of human behaviour, perceptual control theory, can be used to advance nursing practice and improve health outcomes for people who are accessing nursing care. Nursing often takes a pragmatic approach to the delivery of care, with an emphasis on doing what appears to work. This focus on pragmatism can sometimes take precedence over any consideration of the underlying theoretical assumptions that inform decisions to take one particular approach over another or the mechanisms through which nursing interventions have their effects. Read More

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Modeling and Analyzing Stem-Cell Therapy toward Cancer: Evolutionary Game Theory Perspective.

Iran J Public Health 2020 Jan;49(1):145-156

Department of Electrical and Computer Engineering, Razi University, Kermanshah, Iran.

Background: Immunotherapy is a recently developed method of cancer therapy, aiming to strengthen a patient's immune system in different ways to fight cancer. One of these ways is to add stem cells into the patient's body.

Methods: The study was conducted in Kermanshah, western Iran, 2016-2017. Read More

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January 2020

Edge Computing Resource Allocation for Dynamic Networks: The DRUID-NET Vision and Perspective.

Sensors (Basel) 2020 Apr 13;20(8). Epub 2020 Apr 13.

National Technical University of Athens - NTUA, 15780 Zografou, Greece.

The potential offered by the abundance of sensors, actuators, and communications in the Internet of Things (IoT) era is hindered by the limited computational capacity of local nodes. Several key challenges should be addressed to optimally and jointly exploit the network, computing, and storage resources, guaranteeing at the same time feasibility for time-critical and mission-critical tasks. We propose the DRUID-NET framework to take upon these challenges by dynamically distributing resources when the demand is rapidly varying. Read More

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Adaptive treatment and robust control.

Biometrics 2021 Mar 24;77(1):223-236. Epub 2020 Apr 24.

Department of Engineering, Lancaster University, Lancaster, UK.

A control theory perspective on determination of optimal dynamic treatment regimes is considered. The aim is to adapt statistical methodology that has been developed for medical or other biostatistical applications to incorporate powerful control techniques that have been designed for engineering or other technological problems. Data tend to be sparse and noisy in the biostatistical area and interest has tended to be in statistical inference for treatment effects. Read More

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Frailness and resilience of gene networks predicted by detection of co-occurring mutations via a stochastic perturbative approach.

Sci Rep 2020 02 14;10(1):2643. Epub 2020 Feb 14.

Department of Physics and Astronomy, University of Bologna, Bologna, 40127, Italy.

In recent years complex networks have been identified as powerful mathematical frameworks for the adequate modeling of many applied problems in disparate research fields. Assuming a Master Equation (ME) modeling the exchange of information within the network, we set up a perturbative approach in order to investigate how node alterations impact on the network information flow. The main assumption of the perturbed ME (pME) model is that the simultaneous presence of multiple node alterations causes more or less intense network frailties depending on the specific features of the perturbation. Read More

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February 2020

A systems-theoretic analysis of low-level human motor control: application to a single-joint arm model.

J Math Biol 2020 03 26;80(4):1139-1158. Epub 2019 Nov 26.

Institute of Automatic Control, Leibnitz University Hannover, 30167, Hannover, Germany.

Continuous control using internal models appears to be quite straightforward explaining human motor control. However, it demands both, a high computational effort and a high model preciseness as the whole trajectory needs to be converted. Intermittent control shows great promise for avoiding these drawbacks of continuous control, at least to a certain extent. Read More

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Multiscale dynamical embeddings of complex networks.

Phys Rev E 2019 Jun;99(6-1):062308

Department of Mathematics, Imperial College London, London SW7 2AZ, United Kingdom.

Complex systems and relational data are often abstracted as dynamical processes on networks. To understand, predict, and control their behavior, a crucial step is to extract reduced descriptions of such networks. Inspired by notions from control theory, we propose a time-dependent dynamical similarity measure between nodes, which quantifies the effect a node-input has on the network. Read More

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Mechanoregulation of Bone Remodeling and Healing as Inspiration for Self-Repair in Materials.

Biomimetics (Basel) 2019 Jul 9;4(3). Epub 2019 Jul 9.

Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany.

The material bone has attracted the attention of material scientists due to its fracture resistance and ability to self-repair. A mechanoregulated exchange of damaged bone using newly synthesized material avoids the accumulation of fatigue damage. This remodeling process is also the basis for structural adaptation to common loading conditions, thereby reducing the probability of material failure. Read More

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To Mix or Not To Mix? A Meta-Method Approach to Rethinking Evaluation Practices for Improved Effectiveness and Efficiency of Psychological Therapies Illustrated With the Application of Perceptual Control Theory.

Front Psychol 2019 26;10:1445. Epub 2019 Jun 26.

Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom.

Progress in the development of more effective and efficient psychological therapies could be accelerated with innovative and nuanced approaches to research methodology. Therapy development has been dominated by a mono-methodology attitude with randomized controlled trials (RCTs) regarded as a "gold standard" despite the concept of a single methodology being ascribed gold standard status having been called into question. Rather than one particular methodology being considered superior to all others, the gold standard approach should be matching appropriate methodologies to important research questions. Read More

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Probabilistic controllability approach to metabolic fluxes in normal and cancer tissues.

Nat Commun 2019 06 20;10(1):2725. Epub 2019 Jun 20.

Department of Information Science, Faculty of Science, Toho University, Funabashi, 274-8510, Japan.

Recent research has shown that many types of cancers take control of specific metabolic processes. We compiled metabolic networks corresponding to four healthy and cancer tissues, and analysed the healthy-cancer transition from the metabolic flux change perspective. We used a Probabilistic Minimum Dominating Set (PMDS) model, which identifies a minimum set of nodes that act as driver nodes and control the entire network. Read More

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PID Control as a Process of Active Inference with Linear Generative Models.

Entropy (Basel) 2019 Mar 7;21(3). Epub 2019 Mar 7.

EASY Group-Sussex Neuroscience, Department of Informatics, University of Sussex, Brighton BN1 9RH, UK.

In the past few decades, probabilistic interpretations of brain functions have become widespread in cognitive science and neuroscience. In particular, the free energy principle and active inference are increasingly popular theories of cognitive functions that claim to offer a unified understanding of life and cognition within a general mathematical framework derived from information and control theory, and statistical mechanics. However, we argue that if the active inference proposal is to be taken as a general process theory for biological systems, it is necessary to understand how it relates to existing control theoretical approaches routinely used to study and explain biological systems. Read More

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Socio-cognitive factors influencing Greek lyceum female students' intention to receive a Pap smear and a vaccine against HPV.

Int J Adolesc Med Health 2018 Oct 20;32(6). Epub 2018 Oct 20.

First Special Primary School of Thessaloniki, Perea, Thessaloniki, Greece.

Background: The human papillomavirus (HPV) is responsible for 99.7% of cervix cancers worldwide. As this is a preventable and treatable cancer, if diagnosed early, it is important to explore not only young women's related knowledge, but also their intentions for prevention activities, through a theoretical perspective. Read More

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October 2018

Theoretical Principles of Multiscale Spatiotemporal Control of Neuronal Networks: A Complex Systems Perspective.

Authors:
Nima Dehghani

Front Comput Neurosci 2018 8;12:81. Epub 2018 Oct 8.

Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, United States.

Success in the fine control of the nervous system depends on a deeper understanding of how neural circuits control behavior. There is, however, a wide gap between the components of neural circuits and behavior. We advance the idea that a suitable approach for narrowing this gap has to be based on a multiscale information-theoretic description of the system. Read More

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October 2018

What Is Stress? A Systems Perspective.

Integr Comp Biol 2018 12;58(6):1019-1032

Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA.

The term "stress" is used to describe important phenomena at multiple levels of biological organization, but finding a general and rigorous definition of the concept has proven challenging. Current models in the behavioral literature emphasize the cognitive aspects of stress, which is said to occur when threats to the organism are perceived as uncontrollable and/or unpredictable. Here we adopt the perspective of systems biology and take a step toward a general definition of stress by unpacking the concept in light of control theory. Read More

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December 2018

Online Identification of Nonlinear Stochastic Spatiotemporal System With Multiplicative Noise by Robust Optimal Control-Based Kernel Learning Method.

IEEE Trans Neural Netw Learn Syst 2019 Feb 28;30(2):389-404. Epub 2018 Jun 28.

In this paper, we propose a novel kernel method for the online identification of stochastic nonlinear spatiotemporal dynamical systems using the robust control approach. By the difference method, the stochastic spatiotemporal (SST) systems driven by multiplicative noise are first transformed into a class of multi-input-multi-output-partially linear kernel models (PLKMs) with heterogeneous random terms. With the help of techniques established for reproducing kernel Hilbert space, the online learning problem is reasonably considered as an output feedback control problem for a group of time varying linear dynamical systems. Read More

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February 2019

Basic and Translational Neuroscience of Childhood-Onset Dystonia: A Control-Theory Perspective.

Authors:
Terence D Sanger

Annu Rev Neurosci 2018 07 28;41:41-59. Epub 2018 Feb 28.

Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA; email:

Dystonia is a collection of symptoms with involuntary muscle activation causing hypertonia, hyperkinetic movements, and overflow. In children, dystonia can have numerous etiologies with varying neuroanatomic distribution. The semiology of dystonia can be explained by gain-of-function failure of a feedback controller that is responsible for stabilizing posture and movement. Read More

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Quality charters or quality members? A control theory perspective on team charters and team performance.

J Appl Psychol 2017 Oct 22;102(10):1462-1470. Epub 2017 May 22.

Department of Business and Economics, Pennsylvania State University-Scranton.

Though prevalent in practice, team charters have only recently received scholarly attention. However, most of this work has been relatively devoid of theory, and consequently, key questions about why and under what conditions team charter quality affects team performance remain unanswered. To address these gaps, we draw on macro organizational control theory to propose that team charter quality serves as a team-level "behavior" control mechanism that builds task cohesion through a structured exercise. Read More

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October 2017

A network engineering perspective on probing and perturbing cognition with neurofeedback.

Ann N Y Acad Sci 2017 05 26;1396(1):126-143. Epub 2017 Apr 26.

Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania.

Network science and engineering provide a flexible and generalizable tool set to describe and manipulate complex systems characterized by heterogeneous interaction patterns among component parts. While classically applied to social systems, these tools have recently proven to be particularly useful in the study of the brain. In this review, we describe the nascent use of these tools to understand human cognition, and we discuss their utility in informing the meaningful and predictable perturbation of cognition in combination with the emerging capabilities of neurofeedback. Read More

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Spinal Cord Stimulation in Chronic Pain: Mode of Action.

Spine (Phila Pa 1976) 2017 Jul;42 Suppl 14:S53-S60

Wake Forest University Health Sciences, Winston-Salem, NC.

Study Design: Literature review.

Objective: A review of the literature that presents a perspective on mechanisms of actions behind spinal cord stimulation (SCS) therapy for chronic pain.

Summary Of Background Data: SCS is an effective therapeutic alternative for the treatment of intractable chronic pain. Read More

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'If no-one stops me, I'll make the mistake again': Changing prescribing behaviours through feedback; A Perceptual Control Theory perspective'.

Res Social Adm Pharm 2018 03 2;14(3):241-247. Epub 2017 Mar 2.

Manchester Pharmacy, School, University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom. Electronic address:

Background: Doctors at all levels make prescribing errors which can prolong patients' hospital stay, increase the risk of death, and place a significant financial burden on the health system. Doctors have previously reported receiving little or no feedback on their prescribing errors. The effectiveness of feedback in modifying future practice varies widely, depending on how feedback is delivered. Read More

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Multifactorial causal model of brain (dis)organization and therapeutic intervention: Application to Alzheimer's disease.

Neuroimage 2017 05 28;152:60-77. Epub 2017 Feb 28.

Montreal Neurological Institute, McGill University, Montreal, Canada; Ludmer Centre for NeuroInformatics and Mental Health, Montreal, Canada.

Generative models focused on multifactorial causal mechanisms in brain disorders are scarce and generally based on limited data. Despite the biological importance of the multiple interacting processes, their effects remain poorly characterized from an integrative analytic perspective. Here, we propose a spatiotemporal multifactorial causal model (MCM) of brain (dis)organization and therapeutic intervention that accounts for local causal interactions, effects propagation via physical brain networks, cognitive alterations, and identification of optimum therapeutic interventions. Read More

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"Letting Go": From Ancient to Modern Perspectives on Relinquishing Personal Control-A Theoretical Perspective on Religion and Coping with Cancer.

J Relig Health 2017 Dec;56(6):2039-2052

Department of Psychology, 121 Haggar Hall, University of Notre Dame, Notre Dame, IN, 46556, USA.

The concept of "letting go" or relinquishing control has a long intellectual history, including the earliest Taoist writings, long-standing religious traditions, modern conceptualizations of religious coping, and current psychological control theory. This paper briefly traces the ancient roots of "letting go," with an emphasis on Stoic philosophers, and plants it firmly in current control theory and religious coping research, with a focus on its more modern conceptualization, that of secondary control. Presenting the theoretical perspective, which is grounded in religious conceptions of control of outcomes integrated with modern control theory in psychology, is the main goal of this paper. Read More

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December 2017

Brain and cognitive reserve: Translation via network control theory.

Neurosci Biobehav Rev 2017 Apr 16;75:53-64. Epub 2017 Jan 16.

Department of Bioengineering, University of Pennsylvania, PA 19104, United States; Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, United States. Electronic address:

Traditional approaches to understanding the brain's resilience to neuropathology have identified neurophysiological variables, often described as brain or cognitive "reserve," associated with better outcomes. However, mechanisms of function and resilience in large-scale brain networks remain poorly understood. Dynamic network theory may provide a basis for substantive advances in understanding functional resilience in the human brain. Read More

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