Positive and negative social contacts with immigrants from different groups: Investigating the role of group appraisal and opportunity for contact using network analysis

2022 ◽  
Author(s):  
Eugene Tartakovsky ◽  
Sophie D. Walsh
Keyword(s):  
Network Analysis ◽  
Social Contacts

Keeping the Vision Alive: The Role of Networks in National Memorial Building A Case Study of the Vietnam Women’s Memorial and the Black Revolutionary War Patriots Memorial

Public Voices ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. 89
Author(s):  
Amy Probsdorfer Kelley ◽  
John C. Morris
Keyword(s):  
Network Analysis ◽  
Revolutionary War ◽  
The Other ◽  
Perceived Popularity ◽  
National Mall ◽  
Compare And Contrast

The process to win approval to build a national memorial on the National Mall inWashington, DC is both long and complex. Many memorials are proposed, but few are chosen to inhabit the increasingly scarce space available on the Mall. Through the use of network analysis we compare and contrast two memorial proposals, with an eye toward understanding why one proposal was successful while the other seems to have failed. We conclude that the success of a specific memorial has less to do with the perceived popularity of the person or event to be memorialized, and more to do with how the sponsors use the network of people and resources available to advocate for a given proposal.

scholarly journals The role of lipoprotein profile in depression and cognitive performance: a network analysis

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Qiu-fang Jia ◽  
Han-xue Yang ◽  
Nan-nan Zhuang ◽  
Xu-yuan Yin ◽  
Zhen-hua Zhu ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Network Analysis ◽  
High Density Lipoprotein ◽  
Lipid Profile ◽  
Cognitive Performance ◽  
Serum Lipid ◽  
Density Lipoprotein ◽  
Lipoprotein Profile ◽  
Depressive State

AbstractLipid profile (total cholesterol and lipoprotein fractions) has been found to correlate with depression and cognitive impairment across the lifespan. However, the role of lipid levels in self-rated depressive state and cognitive impairment remains unclear. In this study, we examined the relationship between lipid profile (total cholesterol, triglycerides, high-density lipoprotein cholesterol and low-density lipoprotein cholesterol) and cognition in adults with and without self-rated depression. Four hundred and thirty-eight healthy participants completed the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), the Self-Rating Depression Scale (SDS), and a serum lipoprotein test. Using multivariate ANOVA, partial correlation and network analysis, a network linking lipoprotein profile, depressive state and cognition was constructed. A significant difference in serum lipid profile between the high and low depressive groups was detected. Depressive state had a strong negative correlation with cognitive performance. Of the lipid profile, only high-density lipoprotein was positively correlated with depressive symptom severity, whereas the other three indices showed negative correlation with both depressive state and cognitive performance. Our results suggest that serum lipid profile may be directly linked to self-rated depression and cognitive performance. Further studies recruiting larger clinical samples are needed to elucidate the specific effect of lipoprotein on cognitive impairment in mood disorder.

CNTM-06. Individual Cerebrocerebellar Functional Network Analysis for Decoding the Symptomatological Dynamics of Posterior Fossa Syndrome

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi225-vi225
Author(s):  
Ko-Ting Chen ◽  
Sheng-Yao Huang
Keyword(s):  
Network Analysis ◽  
Posterior Fossa ◽  
Clinical Neurophysiology ◽  
Clinical Symptoms ◽  
Critical Role ◽  
Functional Network ◽  
Posterior Fossa Syndrome ◽  
Structural Abnormalities ◽  
Common Pathogenesis

Abstract Posterior fossa syndrome (PFS) consists of three types of symptom (motoric, linguistic, and neurobehavioral) in patients with posterior fossa pathologies. The evolutional mechanism of this high cognitive syndromic complex from cerebellar origin remains unconfirmed. Previous studies analyzing PFS patients mostly focused on the association between structural abnormalities that occur during PFS, of which proximal efferent cerebellar pathway (pECP) injury appears to be the most common pathogenesis. However, structural imaging may not be sensitive enough to determine the dynamic course of PFS, since the symptomatology is primarily an output of cerebral operation. On the other hand, a network neuroscience approach using a mathematical model to extract information from functional imaging to generate interregional connectivity provides abundant evidence that the cerebellum is influential in modulating cerebral functions. This study applied a network approach to children with PFS. Scaling of each symptom domain was used to quantify the dynamics of the syndrome. An individual cerebrocerebellar functional network analysis was then performed to determine the network dynamics during PFS. Cross-validation of clinical neurophysiology and functional neuroscience suggested the critical role of the pECP within PFS from the network analysis. The employed approach was therefore useful in determining the complex clinical symptoms using individual functional network analysis, which bridges the gap between structural neuroimaging and clinical neurophysiology.

scholarly journals Can You Identify These Celebrities? A Network Analysis on Differences between Word and Face Recognition

Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 699 ◽  
Author(s):  
Carmen Moret-Tatay ◽  
Inmaculada Baixauli-Fortea ◽  
M. Dolores Grau Sevilla ◽  
Tatiana Quarti Irigaray
Keyword(s):  
Face Recognition ◽  
Network Analysis ◽  
Word Processing ◽  
Processing System ◽  
Place Of Origin ◽  
Masked Repetition ◽  
The Relationship ◽  
Repetition Priming Effect ◽  
Vast Range

Face recognition is located in the fusiform gyrus, which is also related to other tasks such word recognition. Although these two processes have several similarities, there are remarkable differences that include a vast range of approaches, which results from different groups of participants. This research aims to examine how the word-processing system processes faces at different moments and vice versa. Two experiments were carried out. Experiment 1 allowed us to examine the classical discrimination task, while Experiment 2 allowed us to examine very early moments of discrimination. In the first experiment, 20 Spanish University students volunteered to participate. Secondly, a sample of 60 participants from different nationalities volunteered to take part in Experiment 2. Furthermore, the role of sex and place of origin were considered in Experiment 1. No differences between men and women were found in Experiment 1, nor between conditions. However, Experiment 2 depicted shorter latencies for faces than word names, as well as a higher masked repetition priming effect for word identities and word names preceded by faces. Emerging methodologies in the field might help us to better understand the relationship among these two processes. For this reason, a network analysis approach was carried out, depicting sub-communities of nodes related to face or word name recognition, which were replicated across different groups of participants. Bootstrap inferences are proposed to account for variability in estimating the probabilities in the current samples. This supports that both processes are related to early moments of recognition, and rather than being independent, they might be bilaterally distributed with some expert specializations or preferences.

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