scholarly journals The Effect of Cognitive Resource Competition Due to Dual-Tasking on the Irregularity and Control of Postural Movement Components

Entropy ◽  
2019 ◽  
Vol 21 (1) ◽  
pp. 70 ◽  
Author(s):  
Thomas Haid ◽  
Peter Federolf

Postural control research suggests a non-linear, n-shaped relationship between dual-tasking and postural stability. Nevertheless, the extent of this relationship remains unclear. Since kinematic principal component analysis has offered novel approaches to study the control of movement components (PM) and n-shapes have been found in measures of sway irregularity, we hypothesized (H1) that the irregularity of PMs and their respective control, and the control tightness will display the n-shape. Furthermore, according to the minimal intervention principle (H2) different PMs should be affected differently. Finally, (H3) we expected stronger dual-tasking effects in the older population, due to limited cognitive resources. We measured the kinematics of forty-one healthy volunteers (23 aged 26 ± 3; 18 aged 59 ± 4) performing 80 s tandem stances in five conditions (single-task and auditory n-back task; n = 1–4), and computed sample entropies on PM time-series and two novel measures of control tightness. In the PM most critical for stability, the control tightness decreased steadily, and in contrast to H3, decreased further for the younger group. Nevertheless, we found n-shapes in most variables with differing magnitudes, supporting H1 and H2. These results suggest that the control tightness might deteriorate steadily with increased cognitive load in critical movements despite the otherwise eminent n-shaped relationship.

2019 ◽  
Vol 10 (1) ◽  
pp. 1 ◽  
Author(s):  
Felix Wachholz ◽  
Federico Tiribello ◽  
Arunee Promsri ◽  
Peter Federolf

Dual-tasking charges the sensorimotor system with performing two tasks simultaneously. Center of pressure (COP) analysis reveals the postural control that is altered during dual-tasking, but may not reveal the underlying neural mechanisms. In the current study, we hypothesized that the minimal intervention principle (MIP) provides a concept by which dual-tasking effects on the organization and prioritization of postural control can be predicted. Postural movements of 23 adolescents (age 12.7 ± 1.3; 8 females) and 15 adults (26.9 ± 2.3) were measured in a bipedal stance with eyes open, eyes closed and eyes open while performing a dual-task using a force plate and 39 reflective markers. COP data was analyzed by calculating the mean velocity, standard deviation and amplitude of displacement. Kinematic data was examined by performing a principal component analysis (PCA) and extracting postural movement components. Two variables were determined to investigate changes in amplitude (aVark) and in control (Nk) of the principal movement components. Results in aVark and in Nk agreed well with the predicted dual-tasking effects. Thus, the current study corroborates the notion that the MIP should be considered when investigating postural control under dual-tasking conditions.


2002 ◽  
Author(s):  
Christopher Barnes ◽  
Linda R. Elliott ◽  
Phil Tessier ◽  
Plamen Petrov

2020 ◽  
Vol 16 ◽  
Author(s):  
Yasemin Taşcı ◽  
Rahime Bedir Fındık ◽  
Meryem Kuru Pekcan ◽  
Ozan Kaplan ◽  
Mustafa Çelebier

Background: Metabolomics is one of the main areas to understand cellular process at molecular level by analyzing metabolites. In recent years metabolomics has been emerged as key tool to understand molecular basis of disease, find diagnostic and prognostic biomarkers, and develop new treatment opportunities and drug molecules. Objective: In this study, an untargeted metabolite and lipid analysis were performed to identify potential biomarkers on premature ovarian insufficiency plasma samples. 43 POI subject plasma samples were compared with 32 healthy subject plasma samples. Methods: Plasma samples were pooled and extracted using chloroform:methanol:water (3:3:1 v/v/v) mixture. Agilent 6530 LC/MS Q-TOF instrument equipped with ESI source was used for analysis. A C18 column (Agilent Zorbax 1.8 μM, 50 x 2.1 mm) was used for separation of metabolites and lipids. XCMS, an “R software” based freeware program, was used for peak picking, grouping and comparing the findings. Isotopologue Parameter Optimization (IPO) software was used in order to optimize XCMS parameters. The analytical methodology and data mining process were validated according to the literature. Results: 83 metabolite peaks and 213 lipid peaks were found to be in semi-quantitatively and statistically different (fold change >1.5, p <0.05) between the POI plasma samples and control subjects. Conclusion: According to the results, two groups were successfully separated through principal component analysis. Among the peaks, phenyl alanine, decanoyl-L-carnitine, 1-palmitoyllysophosphatidylcholine and PC(O-16:0/2:0) were identified through auto MS/MS and matched with human metabolome database and proposed as plasma biomarker for POI and monitoring the patients in treatment period.


Algorithms ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 174
Author(s):  
Wenxiao Zhao

The stochastic approximation algorithm (SAA), starting from the pioneer work by Robbins and Monro in 1950s, has been successfully applied in systems and control, statistics, machine learning, and so forth. In this paper, we will review the development of SAA in China, to be specific, the stochastic approximation algorithm with expanding truncations (SAAWET) developed by Han-Fu Chen and his colleagues during the past 35 years. We first review the historical development for the centralized algorithm including the probabilistic method (PM) and the ordinary differential equation (ODE) method for SAA and the trajectory-subsequence method for SAAWET. Then, we will give an application example of SAAWET to the recursive principal component analysis. We will also introduce the recent progress on SAAWET in a networked and distributed setting, named the distributed SAAWET (DSAAWET).


2008 ◽  
Vol 17 (2-3) ◽  
pp. 131-136
Author(s):  
Benjamin Loader ◽  
Wolfgang Gruther ◽  
Christian A. Mueller ◽  
Gerhard Neuwirth ◽  
Stefan Thurner ◽  
...  

Balance is accomplished by the congruent integration of visual, vestibular and somatosensory input and the execution of adequate control movements. With increasing age, nonlinear dynamics of central control systems become more regular. In unilateral vestibular dysfunction, sensory input to central systems is similarly less complex, because of one sided reduction of information influx. This study aimed to increase postural stability in patients with vestibular asymmetry and resulting disequilibrium by implementing a computerized visual training method relying on the principles of stochastic resonance. 24 subjects (average age 64a, 31–78a, 15 women, 9 men), with minimum 3 months of persisting disequilibrium due to vestibular dysfunction, were either treated with computerized optokinetic therapy (COKT), or solely observed. Treated patients were requested to read texts, stochastically moving in a previously defined matrix, during 10 sessions over three weeks. The Sensory Organization Test (SOT) was used for comparative posturographic measurements. COKT patients showed significant improvement in conditions 4, 6 and composite score. A significant post-therapeutic difference was seen between therapy and control groups in conditions 1, 6 and composite score. The results show a clinical benefit and we conclude COKT to be an effective rehabilitation method in patients with chronic disequilibrium.


2020 ◽  
pp. 209653112093024
Author(s):  
Hengjun Tang ◽  
Wee Tiong Seah ◽  
Qiaoping Zhang ◽  
Weizhong Zhang

Purpose: Research has confirmed that students’ mathematics values significantly affect their mathematics learning. Accordingly, understanding how students’ values form and change, especially during different learning stages, is an important topic. Design/Approach/Methods: This study administered a questionnaire to investigate the values of primary, junior high, and senior high school students in Eastern China. A principal component analysis was conducted to investigate the factor structure of the students’ learning values. Then, paired sample t-tests were used to examine the differences in the two continuous categories ranking of each group, and a one-way analysis of variance with a Brown–Forsythe test was used to test the differences in the ranking of each dimension by the different grade-level groups. Findings: We found that students’ mathematics learning values consist of seven elements: culture, memorization, technology, objectism, practice, understanding, and control. Students placed different degrees of importance on these seven elements at different learning stages. Additionally, we found that junior high school is a critical period of change in students’ values. Originality/Value: These findings will be invaluable to teachers and educators as they reflect on their teaching approaches. Moreover, the findings that students’ values undergo changes in the course of their schooling are important information for educators seeking to foster students’ learning.


2017 ◽  
Vol 21 (3) ◽  
pp. 594-598 ◽  
Author(s):  
Elham Ghandali ◽  
Saeed Talebian Moghadam ◽  
Mohammad Reza Hadian ◽  
Gholamreza Olyaei ◽  
Shohreh Jalaie ◽  
...  

2021 ◽  
Vol 23 (08) ◽  
pp. 472-483
Author(s):  
Sitangshu Khatua ◽  
◽  
Debdulal Dutta Roy ◽  

Financial Self-efficacy is defined as a person’s observed capability to control his/her personal finances (Lapp, 2010; Postmus, 2011). It refers to one’s beliefs in the abilities to accomplish a financial goal or task. It is the “knowledge and ability to influence and control one’s financial matters” by Fox and Bartholomae (2008). Financial efficacy pattern of people during very critical moment is unknown. The world is experiencing one of the deepest recessions since the Great Depression in the 1930s owing to the novel coronavirus, World Bank President David Malpass has said, terming the COVID-19 pandemic a “catastrophic event” for many developing and the poorest countries. Aim of the study is to examine financial efficacy pattern of people during lockdown period for COVID-19. Data were collected through online mode using financial efficacy scale developed by authors for the study. Results of principal component analysis revealed that during lockdown, financial efficacy is more concerned with financial planning, planned payment and financial coping.


2018 ◽  
Vol 32 (2) ◽  
pp. 166-174 ◽  
Author(s):  
Esther M. J. Bekkers ◽  
Kim Dockx ◽  
Surendar Devan ◽  
Sam Van Rossom ◽  
Sabine M. P. Verschueren ◽  
...  

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