Monitoring the Cortical Activity of Children and Adults during Cognitive Task Completion

In this paper, we used an EEG system to monitor and analyze the cortical activity of children and adults at a sensor level during cognitive tasks in the form of a Schulte table. This complex cognitive task simultaneously involves several cognitive processes and systems: visual search, working memory, and mental arithmetic. We revealed that adults found numbers on average two times faster than children in the beginning. However, this difference diminished at the end of table completion to 1.8 times. In children, the EEG analysis revealed high parietal alpha-band power at the end of the task. This indicates the shift from procedural strategy to less demanding fact-retrieval. In adults, the frontal beta-band power increased at the end of the task. It reflects enhanced reliance on the top–down mechanisms, cognitive control, or attentional modulation rather than a change in arithmetic strategy. Finally, the alpha-band power of adults exceeded one of the children in the left hemisphere, providing potential evidence for the fact-retrieval strategy. Since the completion of the Schulte table involves a whole set of elementary cognitive functions, the obtained results were essential for developing passive brain–computer interfaces for monitoring and adjusting a human state in the process of learning and solving cognitive tasks of various types.

Positive emotion induction improves cardiovascular coping with a cognitive task

Feeling positive emotions seems to favour an adaptive cardiovascular response (greater heart rate variability, HRV), associated with improved cognitive performance. This study aims to test whether the induction of a positive emotional state produce such cardiovascular response and therefore, enhance coping and performance in Tower of Hanoi (ToH). Forty-two Participants were randomly distributed into two groups (Experimental and Control). Experimental group was subjected to the evocation of a memory of success, while control group was subjected to an attentional task before performing ToH. Heart Rate Variability (HRV), activity of the zygomatic major muscle (ZEMG) and emotions were measured. Emotional induction increased ZEMG activity, feelings of emotional valence and HRV, but the performance in ToH was not different from control. Experiencing positive emotions seems to favour an adaptive psychophysiological response when faced with a complex cognitive task. These results are discussed in relation to clinical practice and health.

The Influence of Social Contexts on Motor and Cognitive Performance: Performing Alone, in Front of Others, or Coacting With Others

Group settings can help or hinder performances. We conducted two studies in a sporting context. Participants performed alone and in groups in which the other participants served as spectators or as coactors. In Study 1, 33 CrossFit athletes performed a timed fine motor task (stacking cups) and a gross motor task (planks). Plank performance increased in front of spectators and in the coacting condition as compared with the alone condition, whereas stacking performances were not affected by the social context. Study 2 assessed a working memory task (three-back) and a timed obstacle course requiring primarily motor speed. Subjects were 42 sports students. Spectators led to performance deteriorations in the complex cognitive task but to improved performances in the simple motor task, supporting the predictions formulated by Strauss. Future research should investigate whether the effects are mediated by the perception of one’s own performance compared with the group or by personality traits.

Tracking times in temporal patterns embodied in intra-cortical data for controling neural prosthesis an animal simulation study

Brain-machines capture brain signals in order to restore communication and movement to disabled people who suffer from brain palsy or motor disorders. In brain regions, the ensemble firing of populations of neurons represents spatio-temporal patterns that are transformed into outgoing spatio-temporal patterns which encode complex cognitive task. This transformation is dynamic, non-stationary (time-varying) and highly nonlinear. Hence, modeling such complex biological patterns requires specific model structures to uncover the underlying physiological mechanisms and their influences on system behavior. In this study, a recent multi-electrode technology allows the record of the simultaneous neuron activities in behaving animals. Intra-cortical data are processed according to these steps: spike detection and sorting, than desired action extraction from the rate of the obtained signal. We focus on the following important questions about (i) the possibility of linking the brain signal time events with some time-delayed mapping tools; (ii) the use of some suitable inputs than others for the decoder; (iii) a consideration of separated data or a special representation founded on multi-dimensional statistics. This paper concentrates mostly on the analysis of parallel spike train when certain critical hypotheses are ignored by the data for the working method. We have made efforts to define explicitly whether the underlying hypotheses are actually achieved. In this paper, we propose an algorithm to define the embedded memory order of NARX recurrent neural networks to the hand trajectory tracking process. We also demonstrate that this algorithm can improve performance on inference tasks.

The Neural Underpinnings of Emotional Conflict Control in Pilots

BACKGROUND: Piloting an aircraft is a complex cognitive task. Human error represents a major contributing factor in aviation accidents. Emotion plays an important role in aviation safety. We performed a functional magnetic resonance imaging (fMRI) study to explore whether pilots and nonpilots may differ in the neural mechanisms responsible for the processing of conflict emotional information.METHODS: A total of 27 civil aviation pilots and 24 nonpilot controls performed the emotional Stroop task, in which participants were required to identify the facial expressions of the stimuli while ignoring the congruent or incongruent emotional words superimposed on the faces. Neural responses to the stimuli were compared between pilots and controls. Also, a psychophysiological interaction (PPI) analysis was performed to explore whether there were differences in effective connectivity between pilots and nonpilots.RESULTS: Behavioral data showed that pilots (21.23 ms) and nonpilots (26.78 ms) had equivalent congruency effects. Nevertheless, their neural activation patterns differed. Compared with pilots, nonpilots exhibited neural activity in the right supramarginal gyrus when processing incongruent stimuli, and more regions were activated in the process of conflict monitoring. The PPI analysis showed greater activity between the right supramarginal gyrus and the right lingual gyrus when nonpilots confronted incongruent vs. congruent stimuli. However, this effective connectivity was not found in pilots.CONCLUSION: These results suggest different mechanisms underlying emotional conflict control between pilots and the general population.Jiang H, Xu K, Chen X, Wang Q, Yang Y, Fu C, Guo X, Chen X, Yang J. The neural underpinnings of emotional conflict control in pilots. Aerosp Med Hum Perform. 2020; 91(10):798805.

Understanding Violin Players’ Skill Level Based on Motion Capture: a Data-Driven Perspective

Learning to play and perform a music instrument is a complex cognitive task, requiring high conscious control and coordination of an impressive number of cognitive and sensorimotor skills. For professional violinists, there exists a physical connection with the instrument allowing the player to continuously manage the sound through sophisticated bowing techniques and fine hand movements. Hence, it is not surprising that great importance in violin training is given to right hand techniques, responsible for most of the sound produced. In this paper, our aim is to understand which motion features can be used to efficiently and effectively distinguish a professional performance from that of a student without exploiting sound-based features. We collected and made freely available a dataset consisting of motion capture recordings of different violinists with different skills performing different exercises covering different pedagogical and technical aspects. We then engineered peculiar features and trained a data-driven classifier to distinguish among two different levels of violinist experience, namely beginners and experts. In accordance with the hierarchy present in the dataset, we study two different scenarios: extrapolation with respect to different exercises and violinists. Furthermore, we study which features are the most predictive ones of the quality of a violinist to corroborate the significance of the results. The results, both in terms of accuracy and insight on the cognitive problem, support the proposal and support the use of the proposed technique as a support tool for students to monitor and enhance their home study and practice.

Intense Cycling Exercise Improves Acute Cognitive Responses

Intense exercise promotes long-term gains in cognitive functions. On the other hand, intense exercise may result in acute effects not clearly determined for cognitive performance. A condition of stochastic intensity ranging from moderate to maximal efforts is part of sports like cycling, in which cognitive integrity is also important for fast decision making and information processing especially during high-speed performances. In this study we investigate the acute effect of cycling at intensities corresponding to 60%, 80% and 95% of the maximal power output (MP) on selective attention, reaction time and short-term memory in amateur trained cyclists. In this cross sectional study 20 male cyclists performed maximal and submaximal cycling tests under different exercise intensities. Cognitive measures were conducted before and after exercise. We found that short duration high intensity cycling (95%) improves selective attention but increases variability in simple reaction time responses, without significant effects on short-term memory. The high intensity exercise improves ability to manage more complex cognitive task especially when the variability in the task does not increase.