Title |
Wanting it Too Much: An Inverse Relation Between Social Motivation and Facial Emotion Recognition in Autism Spectrum Disorder
|
---|---|
Published in |
Child Psychiatry & Human Development, January 2016
|
DOI | 10.1007/s10578-015-0620-5 |
Pubmed ID | |
Authors |
Heather D. Garman, Christine J. Spaulding, Sara Jane Webb, Amori Yee Mikami, James P. Morris, Matthew D. Lerner |
Abstract |
This study examined social motivation and early-stage face perception as frameworks for understanding impairments in facial emotion recognition (FER) in a well-characterized sample of youth with autism spectrum disorders (ASD). Early-stage face perception (N170 event-related potential latency) was recorded while participants completed a standardized FER task, while social motivation was obtained via parent report. Participants with greater social motivation exhibited poorer FER, while those with shorter N170 latencies exhibited better FER for child angry faces stimuli. Social motivation partially mediated the relationship between a faster N170 and better FER. These effects were all robust to variations in IQ, age, and ASD severity. These findings augur against theories implicating social motivation as uniformly valuable for individuals with ASD, and augment models suggesting a close link between early-stage face perception, social motivation, and FER in this population. Broader implications for models and development of FER in ASD are discussed. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
Unknown | 160 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 27 | 17% |
Student > Master | 25 | 15% |
Student > Ph. D. Student | 24 | 15% |
Student > Doctoral Student | 16 | 10% |
Researcher | 14 | 9% |
Other | 24 | 15% |
Unknown | 32 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 78 | 48% |
Neuroscience | 9 | 6% |
Social Sciences | 8 | 5% |
Nursing and Health Professions | 6 | 4% |
Computer Science | 5 | 3% |
Other | 19 | 12% |
Unknown | 37 | 23% |