scholarly journals Dynamic contextual influences on social motivation and behavior in schizophrenia: a case-control network analysis

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Varsha D. Badal ◽  
Emma M. Parrish ◽  
Jason L. Holden ◽  
Colin A. Depp ◽  
Eric Granholm
Keyword(s):  
Network Analysis ◽  
Positive Emotions ◽  
Dynamic Networks ◽  
Dynamic Network ◽  
Social Motivation ◽  
Emotional States ◽  
Contextual Influences ◽  
Network Analyses ◽  
And Behavior ◽  
Ema Data

AbstractContextual influences on social behavior and affective dynamics are not well understood in schizophrenia. We examined the role of social context on emotions, and the motivation to interact in the future, using dynamic network analysis of ecological momentary assessment (EMA) data. Participants included 105 outpatients with schizophrenia or schizoaffective disorder (SZ) and 76 healthy comparators (HC) who completed 7 days, 7 times a day of EMA. Dynamic networks were constructed using EMA data to visualize causal interactions between emotional states, motivation, and context (e.g., location, social interactions). Models were extended to include the type and frequency of interactions and the motivation to interact in the near future. Results indicated SZ networks were generally similar to HC but that contextual influences on emotion and social motivation were more evident in SZ. Further, feedback loops in HC were likely adaptive (e.g., positive emotions leading to social motivation), but most were likely maladaptive in SZ (e.g., sadness leading to reduced happiness leading to increased sadness). Overall, these findings indicate that network analyses may be useful in specifying emotion regulation problems in SZ and that instability related to contextual influences may be a central aspect of aberrant regulation.

scholarly journals Spatiotemporally specific roles of TLR4, TNF, and IL-17A in murine endotoxin-induced inflammation inferred from analysis of dynamic networks

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Ruben Zamora ◽  
Sangeeta Chavan ◽  
Theodoros Zanos ◽  
Richard L. Simmons ◽  
Timothy R. Billiar ◽  
...  
Keyword(s):  
Network Analysis ◽  
Signaling Pathways ◽  
Dynamic Networks ◽  
Dynamic Network ◽  
Systemic Circulation ◽  
Effector Memory ◽  
Effector Memory T Cells ◽  
Interleukin 17A ◽  
Computational Analyses ◽  
Multiple Signaling

Abstract Background Bacterial lipopolysaccharide (LPS) induces a multi-organ, Toll-like receptor 4 (TLR4)-dependent acute inflammatory response. Methods Using network analysis, we defined the spatiotemporal dynamics of 20, LPS-induced, protein-level inflammatory mediators over 0–48 h in the heart, gut, lung, liver, spleen, kidney, and systemic circulation, in both C57BL/6 (wild-type) and TLR4-null mice. Results Dynamic Network Analysis suggested that inflammation in the heart is most dependent on TLR4, followed by the liver, kidney, plasma, gut, lung, and spleen, and raises the possibility of non-TLR4 LPS signaling pathways at defined time points in the gut, lung, and spleen. Insights from computational analyses suggest an early role for TLR4-dependent tumor necrosis factor in coordinating multiple signaling pathways in the heart, giving way to later interleukin-17A—possibly derived from pathogenic Th17 cells and effector/memory T cells—in the spleen and blood. Conclusions We have derived novel, systems-level insights regarding the spatiotemporal evolution acute inflammation.

scholarly journals The relevance of social network analysis on the epidemiology and prevention of sexually transmitted diseases

2007 ◽  
Vol 23 (suppl 3) ◽  
pp. S361-S369 ◽  
Author(s):  
André Reynaldo Santos Périssé ◽  
José Augusto da Costa Nery
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Sexually Transmitted Diseases ◽  
Ethical Considerations ◽  
Sexually Transmitted ◽  
Network Analyses ◽  
Complete Networks ◽  
And Behavior ◽  
Social Network Analyses

Historically, the epidemiology of sexually transmitted diseases (STD) has been based on individual attributes and behavior. However, STD constitute a good example of diseases that depend on personal contacts for dissemination. Social network analysis is a relatively new technique that studies the interactions among people. Since 1985 when it was first used for STD, some studies have been done using the technique, especially in the last 10 years. The two network-based designs, sociocentric or complete networks and egocentric or personal networks, are currently recognized as important tools for a better understanding of STD's dynamic. Here an overview is presented of social network analysis: the technique, its use, and its limitations. Ethical considerations regarding social network analyses are also briefly discussed.

ARCHITECTURAL DESIGN KEYWORDS OF INCEPTION SPACE

2019 ◽  
Vol 6 (2) ◽  
pp. 61
Author(s):  
Muhammad Heru Arie Edytia ◽  
Zulhadi Sahputra ◽  
Mirza Mirza
Keyword(s):  
Architectural Design ◽  
Positive Emotions ◽  
Main Design ◽  
Architectural Space ◽  
Space Design ◽  
People With Dementia ◽  
Space Potential ◽  
Design Mechanism ◽  
Christopher Nolan ◽  
And Behavior

This paper explains the idea of inception space from Inception (2010), a movie directed by Christopher Nolan, to explore the inception space potential in designing architectural space. Inception space is an architectural space design mechanism that translates the essential experience of space users as an effort to implant idea in the form of positive emotions. In other words, the architectural space is a medium of inception to a space user or a target (mark). The main purpose of inception space design is to affect the target (mark) by planting the idea ‘secretly’. The target is unaware of the intervention and considers the idea presented itself. This process becomes the beginning of an idea to grow in one's mind the beginning of mindset and behavior change. In other words, architects or planners can apply this mechanism to design and influence users so that the design success rate can be improved. The main design keywords as part of the inception process are perception, memory, scenario, layer, and labyrinth. The development of design methods of inception space can be explored and applied to different targets and contexts by applying these design keywords. For example, this design mechanism can be applied to people with dementia who experience memory and visuospatial deficit through wayfinding programming.

scholarly journals Dynamic network analysis of contact diaries

2021 ◽  
Vol 66 ◽  
pp. 224-236
Author(s):  
Jürgen Lerner ◽  
Alessandro Lomi ◽  
John Mowbray ◽  
Neil Rollings ◽  
Mark Tranmer
Keyword(s):  
Network Analysis ◽  
Dynamic Network ◽  
Dynamic Network Analysis

scholarly journals DNA-based constitutional dynamic networks as functional modules for logic gates and computing circuit operations

2021 ◽  
Vol 12 (15) ◽  
pp. 5473-5483
Author(s):  
Zhixin Zhou ◽  
Jianbang Wang ◽  
R. D. Levine ◽  
Francoise Remacle ◽  
Itamar Willner
Keyword(s):  
Nucleic Acid ◽  
Dynamic Networks ◽  
Dynamic Network ◽  
Logic Gates ◽  
Functional Modules ◽  
Logic Operations

A nucleic acid-based constitutional dynamic network (CDN) provides a single functional computational module for diverse input-guided logic operations and computing circuits.

scholarly journals Positive Emotions Boost Enthusiastic Responsiveness to Capitalization Attempts. Dissecting Self-Report, Physiology, and Behavior

2021 ◽  
Author(s):  
Lukasz D. Kaczmarek ◽  
Todd B. Kashdan ◽  
Maciej Behnke ◽  
Martyna Dziekan ◽  
Ewelina Matuła ◽  
...  
Keyword(s):  
Positive Emotions ◽  
Negative Emotions ◽  
Emotional Valence ◽  
Self Report ◽  
Physiological Reactivity ◽  
Direct Effects ◽  
High Quality ◽  
Video Clips ◽  
And Behavior ◽  
Positive And Negative Emotions

AbstractWhen individuals communicate enthusiasm for good events in their partners' lives, they contribute to a high-quality relationship; a phenomenon termed interpersonal capitalization. However, little is known when individuals are more ready to react enthusiastically to the partner's success. To address this gap, we examined whether positive and negative emotions boost or inhibit enthusiastic responses to partner's capitalization attempts (RCA). Participants (N = 224 individuals) responded to their partner's success. Before each capitalization attempt (operationalized as responses following the news that their partner won money in a game), we used video clips to elicit positive (primarily amusement) or negative (primarily anger) or neutral emotions in the responder. We recorded emotional valence, smiling intensity, verbal RCA, and physiological reactivity. We found indirect (but not direct) effects such that eliciting positive emotions boosted and negative emotions inhibited enthusiastic RCA (smiling intensity and enthusiastic verbal RCA). These effects were relatively small and mediated by emotional valence and smiling intensity but not physiological reactivity. The results offer novel evidence that positive emotions fuel the capitalization process.

scholarly journals Intraindividual Dynamic Network Analysis – Implications for Clinical Assessment

2017 ◽  
Vol 40 (2) ◽  
pp. 235-248 ◽  
Author(s):  
Sarah Jo David ◽  
Andrew J. Marshall ◽  
Emma K. Evanovich ◽  
Gregory H. Mumma
Keyword(s):  
Network Analysis ◽  
Clinical Assessment ◽  
Dynamic Network ◽  
Dynamic Network Analysis
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