A Comparison Study between Autism Spectrum Disorder and Typically Control in Graph Frequency Bands Using Graph and Triadic Interaction Metrics

Many researchers using many different approaches have attempted to find features discriminating between autism spectrum disorder (ASD) and typically control (TC) subjects. In this study, this attempt has been continued by analyzing global metrics of functional graphs and metrics of functional triadic interactions of the brain in the low, middle, and high-frequency bands (LFB, MFB, and HFB) of the structural graph. The graph signal processing (GSP) provided the combinatorial usage of the functional graph of resting-state fMRI and structural graph of DTI. In comparison to TCs, ASDs had significantly higher clustering coefficients in the MFB, higher efficiencies and strengths in the MFB and HFB, and lower small-world propensity in the HFB. These results show over-connectivity, more global integration, and probably decreased local specialization in ASDs compared to TCs. Triadic analysis showed that the numbers of unbalanced triads were significantly lower for ASDs in the MFB. This finding may show the reason for restricted and repetitive behavior in ASDs. Also, in the MFB and HFB, the numbers of balanced triads and the energies of triadic interactions were significantly higher and lower for ASDs, respectively. These findings may reflect the disruption of the optimum balance between functional integration and specialization. All of these results demonstrated that the significant differences between ASDs and TCs existed in the MFB and HFB of the structural graph when analyzing the global metrics of the functional graph and triadic interaction metrics. In conclusion, the results demonstrate the promising perspective of GSP for attaining discriminative features and new knowledge, especially in the case of ASD.

Requirement to change of functional brain network across the lifespan

Many studies have focused on neural changes and neuroplasticity, while the signaling demand for neural modification needs to be explored. In this study, we traced this issue in the organization of brain functional links where the conflictual arrangement of signed links makes a request to change. We introduced the number of frustrations (unsatisfied closed triadic interactions) as a measure for assessing "requirement to change" of functional brain network. We revealed that the requirement to change of the resting-state network has a u-shape functionality over the lifespan with a minimum in early adulthood, and it’s correlated with the presence of negative links. Also, we discovered that brain negative subnetwork has a special topology with a log-normal degree distribution in all stages, however, its global measures are altered by adulthood. Our results highlight the study of collective behavior of functional negative links as the source of the brain’s between-regions conflicts and we propose exploring the attribute of the requirement to change besides other neural change factors.

Misunderstandings in ART Triadic Interactions: A Qualitative Comparison of First and Follow-Up Visits

BackgroundMisunderstandings in medical interactions can compromise the quality of communication and affect self-management, especially in complex interactions like those in the assisted reproductive technology (ART) field. This study aimed to detect and describe misunderstandings in ART triadic visits. We compared first and follow-up visits for frequency, type, speakers, and topics leading to misunderstandings.MethodsWe purposively sampled 20 triadic interactions from a corpus of 85 visits. We used a previously developed coding scheme to detect different types of misunderstandings (i.e., with strong, acceptable, and weak evidence). We analyzed also the different topics leading to strong misunderstandings (direct expressions of lack of understanding, pragmatic alternative understandings, semantic alternative understandings) to provide insights about the contents of the consultation that may need particular attention and care.FindingsWe detected an overall number of 1078 misunderstandings in the 20 selected visits. First visits contained almost two-third of the misunderstandings (n = 680, 63%). First visits were particularly rich in misunderstandings with acceptable evidence (e.g., clarifications and checks for understanding), compared to follow-up visits. In first visits, doctors’ turns more frequently than couples’ turns contained misunderstandings, while in follow-up visits it was the other way around. Looking at the couple, the majority of the misunderstandings were expressed by the woman (n = 241, 22%) rather than by the man (n = 194, 18%). However, when weighting for their number of turns, 9% of the men’s turns included an expression of misunderstanding, compared to the 7% of the women’s turns. Finally, more than half of the misunderstandings with strong evidence were about history-taking and treatment-related topics, and while the history-taking ones were particularly frequent in first visits the treatment-related ones were more present in follow-up visits.DiscussionFindings indicate that first visits may deserve particular attention to avoid misunderstandings, as they are the moment where a shared understanding can be harder to reach. In particular, misunderstandings happening in first visits seem mostly related to physicians having to reconstruct the clinical history of patients, while those in the follow-up visits seem to reflect residual and unsolved doubts from the couple, especially concerning treatments.

Prediction of new scientific collaborations through multiplex networks

The establishment of new collaborations among scientists fertilizes the scientific environment, fostering novel discoveries. Understanding the dynamics driving the development of scientific collaborations is thus crucial to characterize the structure and evolution of science. In this work, we leverage the information included in publication records and reconstruct a categorical multiplex networks to improve the prediction of new scientific collaborations. Specifically, we merge different bibliographic sources to quantify the prediction potential of scientific credit, represented by citations, and common interests, measured by the usage of common keywords. We compare several link prediction algorithms based on different dyadic and triadic interactions among scientists, including a recently proposed metric that fully exploits the multiplex representation of scientific networks. Our work paves the way for a deeper understanding of the dynamics driving scientific collaborations, and validates a new algorithm that can be readily applied to link prediction in systems represented as multiplex networks.

Public intimacy in social media: The mass audience as a third party

This study presents a novel analysis of social network sites as a staged performance of interpersonal ties in front of a third party, here defined as public intimacy. This concept moves away from the current focus on the presentation of self in social media to the performance of relationships. Users of social media are compared to an interactive audience in a round theater. As inner circle network members display their exclusive ties in front of ther users they may also tease them into joining the conversation. Building on studies of Simmelian ties, interactive exchange, and phatic communication the study presents six characteristics of public intimacy along with brief examples drawn from users’ experiences on Facebook and Twitter. It is concluded that by mediating the shift from dyad to triad and from triad to mass community social media do not necessarily entail a reduction in intimacy but rather a concretization of social relations. The recursive relationship between interpersonal ties and mass solidarity is sustained and reaffirmed thanks to triadic interactions of public intimacy.

Altered structural balance of resting-state networks in autism

What makes a network complex, in addition to its size, is the interconnected interactions between elements, disruption of which inevitably results in dysfunction. Likewise, the brain networks’ complexity arises from interactions beyond pair connections, as it is simplistic to assume that in complex networks state of a link is independently determined only according to its two constituting nodes. This is particularly of note in genetically complex brain impairments, such as the autism spectrum disorder (ASD), which has a surprising heterogeneity in manifestations with no clear-cut neuropathology. Accordingly, structural balance theory (SBT) affirms that in real-world signed networks, a link is remarkably influenced by each of its two nodes’ interactions with the third node within a triadic interrelationship. Thus, it is plausible to ask whether ASD is associated with altered structural balance resulting from atypical triadic interactions. In other words, it is the abnormal interplay of positive and negative interactions that matters in ASD, besides and beyond hypo (hyper) pair connectivity. To address this question, we explore triadic interactions based on SBT in the weighted signed resting-state functional magnetic resonance imaging networks of participants with ASD relative to healthy controls (CON). We demonstrate that balanced triads are overrepresented in the ASD and CON networks while unbalanced triads are underrepresented, providing first-time empirical evidence for the strong notion of structural balance on the brain networks. We further analyze the frequency and energy distributions of different triads and suggest an alternative description for the reduced functional integration and segregation in the ASD brain networks. Moreover, results reveal that the scale of change in the whole-brain networks’ energy is more narrow in the ASD networks during development. Last but not least, we observe that energy of the salience network and the default mode network are lower in ASD, which may be a reflection of the difficulty in dynamic switching and flexible behaviors. Altogether, these results provide insight into the atypical structural balance of the ASD brain (sub) networks. It also highlights the potential value of SBT as a new perspective in functional connectivity studies, especially in the case of neurodevelopmental disorders.

431 - DEMENTIA IN PRIMARY CARE AND DOCTOR-PATIENT-CARER INTERACTIONS: PRELIMINARY FINDINGS

INTRODUCTION: Primary care visits of persons with dementia involve different types of communication, bringing together the patient, the family carer and the general practitioner (GP). A particular challenge is the necessary involvement of a third person (the carer) in patient-doctor encounters (or the patient in carer-doctor encounters, as dementia advances). These triad dynamics should be better understood, as health outcomes are expected to result from or be mediated by them.OBJECTIVE: Our aim is to explore triadic dynamics in Portuguese primary care consultations with persons with dementia, their family carers and GPs.METHODS: This is the first part of an ongoing project (Dementia in Primary Care: the Patient, the Carer and the Doctor in the Medical Encounter - Bayer Investigation Grant | NOVAsaúde Ageing 2018). Consultations with persons with dementia, their carers and GPs (purposive sampling) are audio-recorded, transcribed verbatim and thematically analysed. We report the analysis of interactions of the first six consultations, using NVIVO® software.RESULTS: The most frequent type of interaction was between GPs and carers, followed by interactions involving the whole triad. The patients who had more recent relationships with their GPs tended to participate less, irrespective of the stage of dementia. Carers were the ones most often initiating triadic interactions, and GPs the ones most often terminating them by directly addressing the patients. Doctor-carers interactions were very sparse in some consultations.DISCUSSION AND CONCLUSION: These preliminary findings suggest that doctor-patient interactions may be limited in a number of GPs’ consultations, seemingly compromising patient-centred approaches. Nevertheless, even when GPs were involved in triadic interactions they often tried to address the patient directly. We are looking forward to complete this part of the project: to our knowledge, there is practically no evidence from live-recorded primary care consultations about these triadic dynamics.

Kommunikative Beteiligung von Partnern in der Schwangerenberatung

The interaction between midwifes or other medical professionals and pregnant women in the last trimester of pregnancy plays an important role during antenatal care and birth. The partners of the pregnant women are often present for these conversations and can affect the interaction with their contributions, e. g. their input to the birth plan and their experiences during pregnancy. In this interactional work, triadic interactions during antenatal care consultations were analysed. Using examples from a corpus of 37 primary consultations between midwifes, pregnant women and doctors in an obstetric ward, it is shown that partners can affect the information exchange during these interactions. With their utterances, partners can provide various information, such as facts about previous deliveries, information about the pregnant woman, own pregnancy experiences, information about past abortions and miscarriages as well as information about congenital diseases. In doing so, they enriched the conversation and provided emotional support for the pregnant woman. Only very few partners acted in the role of ‘critic’ or ‘opponent’ and controlled the informational exchange between midwife and pregnant woman or focused solely on themselves during these interactions.