BRAIN RESPONSES TO PRICE INCREASE OF LUXURY VERSUS FASHION BRANDS AN FMRI STUDY

2017 ◽  
Vol 2017 ◽  
pp. 104-104
Author(s):  
Hanah Choi ◽  
◽  
DongHyun Kim ◽  
EunJu Lee ◽  
Eunju Ko
2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Kanan Hirano ◽  
Kentaro Oba ◽  
Toshiki Saito ◽  
Shohei Yamazaki ◽  
Ryuta Kawashima ◽  
...  

Abstract Facing one’s own death and managing the fear of death are important existential issues, particularly in older populations. Although recent functional magnetic resonance imaging (fMRI) studies have investigated brain responses to death-related stimuli, none has examined whether this brain activation was specific to one’s own death or how it was related to dispositional fear of death. In this study, during fMRI, 34 elderly participants (aged, 60–72 years) were presented with either death-related or death-unrelated negative words and asked to evaluate the relevance of these words to the “self” or the “other.” The results showed that only the left supplementary motor area (SMA) was selectively activated during self-relevant judgments of death-related words. Regression analyses of the effect of fear of death on brain activation during death-related thoughts identified a significant negative linear correlation in the right supramarginal gyrus (SMG) and an inverted-U-shaped correlation in the posterior cingulate cortex (PCC) only during self-relevant judgments. Our results suggest potential involvement of the SMA in the existential aspect of thoughts of death. The distinct fear-of-death-dependent responses in the SMG and PCC may reflect fear-associated distancing of the physical self and the processing of death-related thoughts as a self-relevant future agenda, respectively.


NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S192
Author(s):  
Z Jia ◽  
C Lacadie ◽  
A Hong ◽  
S Huq ◽  
KT Bergquist ◽  
...  

2011 ◽  
Vol 7 (8) ◽  
pp. 969-979 ◽  
Author(s):  
Daniel S. Schechter ◽  
Dominik A. Moser ◽  
Zhishun Wang ◽  
Rachel Marsh ◽  
XueJun Hao ◽  
...  
Keyword(s):  

2004 ◽  
Vol 29 (6) ◽  
pp. 1203-1214 ◽  
Author(s):  
R A E Honey ◽  
G D Honey ◽  
C O'Loughlin ◽  
S R Sharar ◽  
D Kumaran ◽  
...  

NeuroImage ◽  
2013 ◽  
Vol 78 ◽  
pp. 176-185 ◽  
Author(s):  
Scott E. Lukas ◽  
Steven B. Lowen ◽  
Kimberly P. Lindsey ◽  
Nina Conn ◽  
Wendy Tartarini ◽  
...  

2018 ◽  
Vol 12 (1) ◽  
pp. 16-29 ◽  
Author(s):  
Carla J. Ammons ◽  
Constance F. Doss ◽  
David Bala ◽  
Rajesh K. Kana

Background:Theory of Mind (ToM), the ability to attribute mental states to oneself and others, is frequently impaired in Autism Spectrum Disorder (ASD) and may result from altered activation of social brain regions. Conversely, Typically Developing (TD) individuals overextend ToM and show a strong tendency to anthropomorphize and interpret biological motion in the environment. Less is known about how the degree of anthropomorphism influences intentional attribution and engagement of the social brain in ASD.Objective:This fMRI study examines the extent of anthropomorphism, its role in social attribution, and the underlying neural responses in ASD and TD using a series of human stick figures and geometrical shapes.Methods:14 ASD and 14 TD adults watched videos of stick figures and triangles interacting in random or socially meaningful ways while in an fMRI scanner. In addition, they completed out-of-scanner measures of ToM skill and real-world social deficits. Whole brain statistical analysis was performed for regression and within and between group comparisons of all conditions using SPM12’s implementation of the general linear model.Results:ToM network regions were activated in response to social movement and human-like characters in ASD and TD. In addition, greater ToM ability was associated with increased TPJ and MPFC activity while watching stick figures; whereas more severe social symptoms were associated with reduced right TPJ activation in response to social movement.Conclusion:These results suggest that degree of anthropomorphism does not differentially affect social attribution in ASD and highlights the importance of TPJ in ToM and social attribution.


2019 ◽  
Author(s):  
Joshua D. Hoddinott ◽  
Dirk Schuit ◽  
Jessica A. Grahn

AbstractAuditory working memory is often conceived of as a unitary capacity, with memory for different auditory materials (syllables, pitches, rhythms) thought to rely on similar neural mechanisms. One spontaneous behavior observed in working memory studies is ‘chunking’. For example, individuals often recount digit sequences in groups, or chunks, of 3 to 4 digits, and this chunking improves performance. Chunking may also operate in musical rhythm, with beats acting as chunk boundaries for tones in rhythmic sequences. Similar to chunking, beat-based structure in rhythms also improves performance. Thus, beat processing may rely on the same mechanisms that underlie chunking of verbal material. The current fMRI study examined whether beat perception is a type of chunking, measuring brain responses to chunked and unchunked letter sequences relative to beat-based and nonbeat-based rhythmic sequences. Participants completed a sequence discrimination task, and comparisons between stimulus encoding, maintenance, and discrimination were made for both rhythmic and verbal sequences. Overall, rhythm and verbal working memory networks overlapped substantially. When comparing rhythmic and verbal conditions, rhythms activated basal ganglia, supplementary motor area, and anterior insula, compared to letter strings, during encoding and discrimination. Letter strings compared to rhythms activated bilateral auditory cortex during encoding, and parietal cortex, precuneus, and middle frontal gyri during discrimination. Importantly, there was a significant interaction in the basal ganglia during encoding: activation for beat-based rhythms was greater than for nonbeat-based rhythms, but verbal chunked and unchunked conditions did not differ. The significant interaction indicates that beat perception is not simply a case of chunking, suggesting a dissociation between beat processing and grouping mechanisms that warrants further exploration.


NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S62
Author(s):  
LJ Cole ◽  
T Tran ◽  
M Gavrilescu ◽  
SJ Gibson ◽  
GF Egan ◽  
...  

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