Editorial: The Mechanisms Underlying the Human Minimal Self

Peer Reviewe

The effects of interaction quality on neural synchrony during mother-child problem solving.

Understanding others is fundamental to interpersonal coordination and successful cooperation. One mechanism posited to underlie both effective communication and behavioral coordination is interpersonal neural synchrony. Although presumably foundational for children's social development, research on neural synchrony in naturalistic caregiver-child interactions is lacking. Using dual-functional near-infrared spectroscopy (fNIRS), we examined the effects of interaction quality on neural synchrony during a problem-solving task in 42 dyads of mothers and their preschool children. In a cooperation condition, mothers and children were instructed to solve a tangram puzzle together. In an individual condition, mothers and children performed the same task alone with an opaque screen between them. Wavelet transform coherence (WTC) was used to assess the cross-correlation between the two fNIRS time series. Results revealed increased neural synchrony in bilateral prefrontal cortex and temporo-parietal areas during cooperative as compared to individual problem solving. Higher neural synchrony during cooperation correlated with higher behavioral reciprocity and neural synchrony predicted the dyad's problem-solving success beyond reciprocal behavior between mothers and children. State-like factors, such as maternal stress and child agency during the task, played a bigger role for neural synchronization than trait-like factors, such as child temperament. Our results emphasize neural synchrony as a biomarker for mother-child interaction quality. These findings further highlight the role of state-like factors in interpersonal synchronization processes linked to successful coordination with others and in the long-term might improve the understanding of others

Sensorimotor Representation Learning for an “Active Self” in Robots: A Model Survey

Safe human-robot interactions require robots to be able to learn how to behave appropriately in spaces populated by people and thus to cope with the challenges posed by our dynamic and unstructured environment, rather than being provided a rigid set of rules for operations. In humans, these capabilities are thought to be related to our ability to perceive our body in space, sensing the location of our limbs during movement, being aware of other objects and agents, and controlling our body parts to interact with them intentionally. Toward the next generation of robots with bio-inspired capacities, in this paper, we first review the developmental processes of underlying mechanisms of these abilities: The sensory representations of body schema, peripersonal space, and the active self in humans. Second, we provide a survey of robotics models of these sensory representations and robotics models of the self; and we compare these models with the human counterparts. Finally, we analyze what is missing from these robotics models and propose a theoretical computational framework, which aims to allow the emergence of the sense of self in artificial agents by developing sensory representations through self-exploration.Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659Projekt DEALPeer Reviewe

Sensorimotor representation learning for an "active self" in robots: A model survey

Safe human-robot interactions require robots to be able to learn how to behave appropriately in \sout{humans' world} \rev{spaces populated by people} and thus to cope with the challenges posed by our dynamic and unstructured environment, rather than being provided a rigid set of rules for operations. In humans, these capabilities are thought to be related to our ability to perceive our body in space, sensing the location of our limbs during movement, being aware of other objects and agents, and controlling our body parts to interact with them intentionally. Toward the next generation of robots with bio-inspired capacities, in this paper, we first review the developmental processes of underlying mechanisms of these abilities: The sensory representations of body schema, peripersonal space, and the active self in humans. Second, we provide a survey of robotics models of these sensory representations and robotics models of the self; and we compare these models with the human counterparts. Finally, we analyse what is missing from these robotics models and propose a theoretical computational framework, which aims to allow the emergence of the sense of self in artificial agents by developing sensory representations through self-exploration

Neural synchrony in mother-child conversation: Exploring the role of communicative features

Conversations are an essential form of communication in daily family life. Specific patterns of caregiver-child conversations have been linked to children’s socio-cognitive development and child relationship quality beyond the immediate family environment. Recently, interpersonal neural synchronization has been proposed as a neural mechanism supporting conversation. Here, we present a functional near-infrared spectroscopy (fNIRS) hyperscanning study looking at the temporal dynamics of neural synchrony during mother-child conversation. Preschoolers (20 boys and 20 girls; M age 5;07 years) and their mothers (M age 36.37 years) were tested simultaneously with fNIRS hyperscanning while engaging in a free verbal conversation lasting for four minutes. Neural synchrony (using wavelet transform coherence analysis) was assessed over time. Furthermore, each conversational turn was coded for conversation patterns comprising turn-taking, relevance, contingency, and intrusiveness. Results from linear mixed-effects modeling revealed that turn-taking, but not relevance, contingency, or intrusiveness predicted neural synchronization during the conversation over time. Results are discussed to point out possible variables affecting parent-child conversation quality and the potential functional role of interpersonal neural synchronization for parent-child conversation

Interpersonal neurobehavioral synchrony during father-child problem solving: An fNIRS hyperscanning study

Interpersonal neural synchrony (INS) has been previously evidenced in mother-child interactions, yet findings concerning father-child interaction are wanting. The current experiment examined whether fathers and their 5- to 6-year-old children (N=66) synchronize their brain activity during a naturalistic interaction, and addressed paternal and child factors related to INS. Compared to individual problem-solving and rest, father-child dyads showed increased INS in bilateral dorsolateral prefrontal cortex and left temporo-parietal junction during cooperative problem-solving. Furthermore, the father’s attitude toward his role as a parent was positively related to INS during the cooperation condition. These results highlight the implication of the father’s attitude to parenting in INS processes for the first time

Prognostic importance of central thrombus in hemodynamically stable patients with pulmonary embolism

Background: The association between mortality and localization of central thrombus in hemodynamically stable patients with pulmonary embolism (PE) is unclear. Sufficient data are not available to help clinicians to select between low molecular weight heparin (LMWH), unfractionated heparin (UFH) and thrombolytics for the management of central thrombus. The present study aims to investigate whether central thrombus in the pulmonary artery affects 30-day mortality rate, and to compare the outcomes of different treatment approaches in patients with central thrombus. Methods: This multi-central, prospective, observational study included 874 hemodynamically stable patients with PE confirmed by multidetector computed tomography scan. The localization of the emboli was evaluated and categorized as central (saddle or at least one main pulmonary artery), lobar or distal. The primary study outcome was 30-day all-cause mortality. Results: Localization of the emboli was central in 319 (36.5%) patients, lobar in 264 (30.2%) and distal in 291 (33.2%) patients. Seventy-four (8.5%) patients died during the 30-day follow-up period. All-cause mortality rate was 11.9%, 6.8% and 6.2% in patients with central, lobar, and distal emboli, respectively (p < 0.001). Multivariate analysis did not show that hemodynamically stable central thrombus was an independent predictor of mortality. Additionally, mortality rate was not significantly different between UFH, LMWH and thrombolytic therapy groups. Conclusions: The present study showed that central thrombus was not an independent predictor of mortality in hemodynamically stable PE patients. LMWH and UFH were similarly effective in the treatment of this patient group.

A funnel shaped pannus formation above the mitral prosthetic valve diagnosed with real time three-dimensional echocardiography

Prosthetic valve obstruction due to pannus formation can be a life-threatening complication. We showed that real time three dimensional echocardiography has incremental value in diagnosing pannus localization and extent

Atria: A comprehensive evaluation with echocardiography

Left and right atria have gained interest from scientific community. Two or three- dimensional echocardiographic methods have been implemented for better understanding of atrial functions in both healthy persons and patients with various diseases. Atrial volume could be calculated from 2D or 3D images. Volumetric data and derived parameters could be used for determining atrial phasic functions. Nowadays, atrial deformation imaging with 2D-TDI, 2D-speckle tracking imaging or with recently introduced 3D speckle tracking is possible. All those methods have some advantages and disadvantages, which define their clinical value in the future

An increase in epicardial adipose tissue is strongly associated with carotid intima-media thickness and atherosclerotic plaque, but LDL only with the plaque

Objective: Carotid intima-media thickness (CIMT) is reliable marker of subclinical atherosclerosis and cardiovascular events. Until today, there was no study that investigated whether epicardial adipose tissue (EAT), which is a surrogate for lipid depot in a special visceral tissue or circulating lipids, is more important for CIMT and atherosclerotic plaque.Methods: Our study, having cross-sectional and prospective observational design, included 252 patients who were admitted to our outpatient clinic. EAT identified as an echo-free space under the pericardial layer on 2-dimensional echocardiography, was measured perpendicularly in front of the right ventricular free wall at end-systole.Results: EAT significantly correlated with CIMT (r=0.623, p7 mm, p<0.001, respectively). Multiple linear regression analysis revealed that age (Beta: 0.406, p<0.001), male gender (Beta: 0.244, p<0.001), and EAT (Beta: 0.450, p<0.001) as independent correlates of CIMT. Otherwise, in logistic regression analysis, only EAT (OR, 1.386; 95% CI, 1.203-1.597, p<0.001) and LDL cholesterol (OR, 1.013; 95% CI, 1.002-1.013, p=0.02) were independent predictors for presence of carotid plaque.Conclusion: Our study showed that EAT has a relationship with both CIMT and the presence of carotid plaque, but LDL is independently related to the plaque. This finding suggests that EAT thickness may be a risk factor and biomarker, playing an important role beginning from early stages of atherosclerosis, unlike LDL cholesterol, which appear to have a role in later stages of atherosclerosis