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