Face recognition skills are an important substrate of effective social skills. Persons with an autism spectrum disorder (ASD: autism, asperger syndrome and pervasive developmental disorder not otherwise specified) have a variety of deficits in the manner in which they recognize faces, including a reliance on individual facial features (particularly the mouth and not eyes) rather than the typical pattern of processing faces holistically. Functional magnetic resonance imaging studies (fMRI) of face perception in ASD have shown that two brain structures - the left amygdala and the lateral aspect of the right fusiform gyrus are functionally abnormal. These findings are especially significant because they are the first brain areas to be independently confirmed by multiple labs as involved in the pathobiology of ASDs. The role of these two structures in pathobiology of ASDs is further substantiated by postmortem brain studies and gross neuroanatomical studies using conventional structural MRI. However, there remain many important questions to be answered about the parameters that modulate activity in these brain regions, both in typically developing persons and in persons with an ASD. The experiments in this R01 application are designed to extend our current knowledge in this area through a systematic series of fMRI studies. These studies make use of infra red eye tracking technology to study the relationship between scan paths and regional brain activity. These studies involve systematic manipulation of parameters that are believed to modulate level of activity in these 2 brain areas and the functional connectivity between them. In total, we propose a link series of 4 fMRI studies, each involving a comparison between 18 persons with an ASD and 18 typically developing controls (TDCs). We hypothesis that the hypoactivation of the fusiform and amygdala in ASD is mediated by (1) variation in attention and focus of perception; (2) aspects of the stimulus parameters (e.g., degree of facial emotion); and (3) interactions between the fusiform and amygdala as information comes through cortical and subcortical visual pathways.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
7R01MH073084-04
Application #
7556817
Study Section
Child Psychopathology and Developmental Disabilities Study Section (CPDD)
Program Officer
Gilotty, Lisa
Project Start
2005-02-25
Project End
2010-01-31
Budget Start
2008-01-04
Budget End
2008-01-31
Support Year
4
Fiscal Year
2007
Total Cost
$45,413
Indirect Cost
Name
Children's Hospital of Philadelphia
Department
Type
DUNS #
073757627
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
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Herrington, John D; Maddox, Brenna B; Kerns, Connor M et al. (2017) Amygdala Volume Differences in Autism Spectrum Disorder Are Related to Anxiety. J Autism Dev Disord 47:3682-3691
Koski, Jessica E; Collins, Jessica A; Olson, Ingrid R (2017) The neural representation of social status in the extended face-processing network. Eur J Neurosci 46:2795-2806
Herrington, John D; Miller, Judith S; Pandey, Juhi et al. (2016) Anxiety and social deficits have distinct relationships with amygdala function in autism spectrum disorder. Soc Cogn Affect Neurosci 11:907-14
Herrington, John D; Riley, Meghan E; Grupe, Daniel W et al. (2015) Successful face recognition is associated with increased prefrontal cortex activation in autism spectrum disorder. J Autism Dev Disord 45:902-10
Troiani, Vanessa; Price, Elinora T; Schultz, Robert T (2014) Unseen fearful faces promote amygdala guidance of attention. Soc Cogn Affect Neurosci 9:133-40
Parish-Morris, Julia; Chevallier, Coralie; Tonge, Natasha et al. (2013) Visual attention to dynamic faces and objects is linked to face processing skills: a combined study of children with autism and controls. Front Psychol 4:185
Troiani, Vanessa; Schultz, Robert T (2013) Amygdala, pulvinar, and inferior parietal cortex contribute to early processing of faces without awareness. Front Hum Neurosci 7:241
Chevallier, Coralie; Kohls, Gregor; Troiani, Vanessa et al. (2012) The social motivation theory of autism. Trends Cogn Sci 16:231-9
Coutanche, Marc N; Thompson-Schill, Sharon L; Schultz, Robert T (2011) Multi-voxel pattern analysis of fMRI data predicts clinical symptom severity. Neuroimage 57:113-23

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