Detecting correlation changes in multivariate time series: A comparison of four non-parametric change point detection methods.

Change point detection in multivariate time series is a complex task since next to the mean, the correlation structure of the monitored variables may also alter when change occurs. DeCon was recently developed to detect such changes in mean and\or correlation by combining a moving windows approach and robust PCA. However, in the literature, several other methods have been proposed that employ other non-parametric tools: E-divisive, Multirank, and KCP. Since these methods use different statistical approaches, two issues need to be tackled. First, applied researchers may find it hard to appraise the differences between the methods. Second, a direct comparison of the relative performance of all these methods for capturing change points signaling correlation changes is still lacking. Therefore, we present the basic principles behind DeCon, E-divisive, Multirank, and KCP and the corresponding algorithms, to make them more accessible to readers. We further compared their performance through extensive simulations using the settings of Bulteel et al. (Biological Psychology, 98 (1), 29-42, 2014) implying changes in mean and in correlation structure and those of Matteson and James (Journal of the American Statistical Association, 109 (505), 334-345, 2014) implying different numbers of (noise) variables. KCP emerged as the best method in almost all settings. However, in case of more than two noise variables, only DeCon performed adequately in detecting correlation changes.

Individual differences in cardiorespiratory measures of mental workload: An investigation of negative affectivity and cognitive avoidant coping in pilot candidates.

Cardiorespiratory measures provide useful information in addition to well-established self-report measures when monitoring operator capacity. The purpose of our study was to refine the assessment of operator load by considering individual differences in personality and their associations with cardiorespiratory activation. Physiological and self-report measures were analyzed in 115 pilot candidates at rest and while performing a multiple task covering perceptual speed, spatial orientation, and working memory. In the total sample and particularly in individuals with a general tendency to worry a lot, a cognitive avoidant coping style was associated with a smaller task-related increase in heart rate. Negative affectivity was found to moderate the association between cardiac and self-reported arousal. Given that physiological and self-report measures of mental workload are usually combined when evaluating operator load (e.g., in pilot selection and training), our findings suggest that integrating individual differences may reduce unexplained variance and increase the validity of workload assessments.

Respiratory Changes in Response to Cognitive Load: A Systematic Review.

When people focus attention or carry out a demanding task, their breathing changes. But which parameters of respiration vary exactly and can respiration reliably be used as an index of cognitive load? These questions are addressed in the present systematic review of empirical studies investigating respiratory behavior in response to cognitive load. Most reviewed studies were restricted to time and volume parameters while less established, yet meaningful parameters such as respiratory variability have rarely been investigated. The available results show that respiratory behavior generally reflects cognitive processing and that distinct parameters differ in sensitivity: While mentally demanding episodes are clearly marked by faster breathing and higher minute ventilation, respiratory amplitude appears to remain rather stable. The present findings further indicate that total variability in respiratory rate is not systematically affected by cognitive load whereas the correlated fraction decreases. In addition, we found that cognitive load may lead to overbreathing as indicated by decreased end-tidal CO2 but is also accompanied by elevated oxygen consumption and CO2 release. However, additional research is needed to validate the findings on respiratory variability and gas exchange measures. We conclude by outlining recommendations for future research to increase the current understanding of respiration under cognitive load.

The role of respiratory measures to assess mental load in pilot selection.

While cardiovascular measures have a long tradition of being used to determine operator load, responsiveness of the respiratory system to mental load has rarely been investigated. In this study, we assessed basic and variability measures of respiration rate (RR), partial pressure of end-tidal carbon dioxide (petCO2) as well as performance measures in 63 male pilot candidates during completion of a complex cognitive task and subsequent recovery. Mental load was associated with an increase in RR and a decrease in respiratory variability. A significant decrease was also found for petCO2. RR and respiratory variability showed partial and complete effects of recovery, respectively, whereas petCO2 did not return to baseline level. Overall, a good performance was related to a stronger reactivity in RR. Our findings suggest that respiratory parameters would be a useful supplement to common measures for the assessment of mental load in pilot selection. Practitioner Summary: Respiratory measures are a promising yet poorly investigated approach to monitor operator load. For pilot selection, we assessed respiration in response to multitasking in 63 candidates. Task-related changes as well as covariation with performance strongly support the consideration of respiratory parameters when evaluating reactivity to mental load.

Everyday physical activity in ambulatory heart transplant candidates: the role of expected health benefits, social support, and potential barriers.

BACKGROUND: Physical activity (PA) is recommended for stable patients with advanced heart failure (HF). PURPOSE: We evaluated expected health benefits of PA and social support as facilitators of PA, and physical symptom distress and psychological distress (depression, anxiety) as barriers to PA. Additionally, we investigated if facilitators of PA are of particular importance for patients who report barriers. METHOD: We analyzed data assessed at time of waitlisting in 231 ambulatory patients (53.4 ± 10.3 years, 18 % women) who were enrolled in the multisite Waiting for a New Heart Study in 1 Austrian and 16 German hospitals. Self-reported everyday PA scores (number of activities, duration of activities) was regressed on demographic characteristics and indicators of disease severity (ejection fraction, peak oxygen consumption), facilitators (expected health benefits of PA, perceived emotional support, perceived support for PA), and barriers to PA (physical symptom distress, psychological distress). Interaction terms of facilitators with barriers were also examined. RESULTS: PA was positively associated with higher peak oxygen consumption, validating self-reported PA. Regarding facilitators, expected health benefits of PA were independently associated with higher PA (p values < 0.001). There were no main effects for social support on PA. Regarding barriers, depression tended to be associated with fewer activities (p = 0.068). However, in the presence of barriers (depression, physical symptoms), feeling supported for being physically active was positively associated with PA (p values < 0.05). CONCLUSION: Interventions to improve PA may benefit from strengthening positive expectations of health outcomes associated with everyday PA and fostering PA-specific social support for those distressed by HF symptoms or depression.