DocumentCode :
153606
Title :
The neural substrate of maternal love in shopping: Mothers´ willingness to pay for her child vs. for herself: An fMRI study
Author :
Chun-Chia Kung ; Yang-Yen Ou ; Ding-Ruey Yeh ; Chung-Fa Wang
fYear :
2014
fDate :
20-23 Sept. 2014
Firstpage :
137
Lastpage :
140
Abstract :
Mother love is essential for mother-child relationship, and is important for child´s development. Despite of series of studies pertaining to the neural substrate of parental love, to date, however, no publication is found regarding the neural substrates of maternal love in shopping. In this study, we examined first-time mothers´ brain activations in response to mother-related (purses, make-ups, and clothes) and children-related (toys, books, and clothes) items measured by fMRI. 22 (including 20 first-time) mothers were scanned with 3T MRI scanner. In children- vs. mother-related items, the expected mother-nature site, peri-aquductal grey (or PAG), was found to be more activated. In addition, “Buy vs. NotBuy”, as well as interaction of both factors, were both identified. In addition, voxelwise regressions yielded regions associated with mothers´ buying characteristics. Lastly, we also implemented the multi-voxel pattern analysis and searchlight mapping to these data, with some preliminary results.
Keywords :
biomedical MRI; brain; medical image processing; neurophysiology; regression analysis; MRI scanner; NotBuy; PAG; brain activations; child development; children-related items; expected mother-nature site; fMRI study; magnetic flux density 3 T; maternal love; mother love; mother-child relationship; mother-related items; mothers´ buying characteristics; multivoxel pattern analysis; neural substrates; parental love; peri-aquductal grey; searchlight mapping; shopping; voxel-wise regressions; Correlation; Educational institutions; Indexes; Magnetic resonance imaging; Pediatrics; Psychology; Substrates; GLM; MVPA; PAG; fMRI; maternal love; searchlight analysis; shopping; voxelwise correlation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Orange Technologies (ICOT), 2014 IEEE International Conference on
Conference_Location :
Xian
Type :
conf
DOI :
10.1109/ICOT.2014.6956618
Filename :
6956618
Link To Document :
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