Disruption of social process systems is a hallmark of multiple neurodevelopmental disorders, resulting in significant functional impairment for affected individuals and substantial public health costs. This project proposes to examine the relationship between social performance and Reception of Facial Communication (a subconstruct within the Social Communication construct of the RDoC Social Processes domain) across multiple levels of analysis, spanning self-report, behavior, and physiology. Dimensional measures of face and emotion perception and social communicative function will be collected in a transdiagnostic sample of 50 adults from each of three recruitment streams: (1) the Yale Child Study Center Developmental Disabilities Clinic and Autism Spectrum Disorder (ASD) Research Program; (2) the Yale Psychiatry Department Specialized Treatment for Early Psychosis (STEP) Clinic and ongoing schizophrenia spectrum disorders (SZS) research program; (3) community controls presenting without clinical impairment in social communication. Though currently classified by separate diagnostic taxonomies, ASD and SZS exhibit shared social dysfunction and overlapping atypicalities in self-reported social characteristics (e.g., social motivation and engagement), behavior (e.g., scanning patterns to human faces, face recognition, and emotional expression deficits), and physiology (e.g., electrophysiological indices of face and emotion perception ). These findings suggest commonalities in the underlying neural processes affected in these disorders and emphasize the import of studying social dysfunction by organizing dimensions that cut across traditional diagnostic categories. This research utilizes a novel experimental paradigm that combines high-speed eye-tracking (ET; to measure where a person looks on a computer screen) and electroencephalographic recording (EEG; to measure brain response) to enable simulation of social interactions by animating on-screen faces that respond to the participant's eye gaze. We use dynamic, computer-generated, highly realistic faces that respond to the gaze of participants by looking back or making a facial expression. Across experiments, we relate continuous indices of social ability to variability in ET and EEG measures. Preliminary data demonstrate the viability of this innovative approach and reveal that both gaze patterns and neural response to interactive faces are associated with social functioning across the clinical and non-clinical range. Our innovative approach will advance understanding of the brain basis of social dysfunction in neurodevelopmental disorders by studying social perception in a naturalistic, interactive context. This research will lead to new ways of classifying mental disorders based on dimensions of observable behavior and neurobiological measures. It offers significant clinical translational benefits, including identifyng therapeutic targets, developing biologically-based predictors of treatment response, creating new treatment approaches, and exploring new markers to parse heterogeneity and more effectively conceptualize social processes affected across neurodevelopmental disorders.

Public Health Relevance

This project investigates relationships among social process systems (self-report, behavior, physiology) and social communication in individuals with neurodevelopmental disorders. By integrating eye-tracking and EEG, the study investigates sensitivity to changes in gaze and emotional expression in an interactive, naturalistic context. This research holds promise for assessing the relationship between neural activity and variability in social dysfunction, clarifying shared dysfunction mechanisms across neurodevelopmental disorders, informing treatment development and selection, and developing new ways to characterize and understand psychiatric symptomatology.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH107426-03
Application #
9272934
Study Section
Special Emphasis Panel (ZMH1-ERB-S (03))
Program Officer
Friedman-Hill, Stacia
Project Start
2015-07-15
Project End
2018-05-31
Budget Start
2017-06-01
Budget End
2018-05-31
Support Year
3
Fiscal Year
2017
Total Cost
$214,274
Indirect Cost
$85,581
Name
Yale University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
Carter Leno, Virginia; Tomlinson, Samuel B; Chang, Shou-An A et al. (2018) Resting-state alpha power is selectively associated with autistic traits reflecting behavioral rigidity. Sci Rep 8:11982
Stavropoulos, Katherine K M; Viktorinova, Michaela; Naples, Adam et al. (2018) Autistic traits modulate conscious and nonconscious face perception. Soc Neurosci 13:40-51
Rolison, Max J; Naples, Adam J; Rutherford, Helena J V et al. (2018) Modulation of reward in a live social context as revealed through interactive social neuroscience. Soc Neurosci 13:416-428
Kang, Erin; Keifer, Cara M; Levy, Emily J et al. (2018) Atypicality of the N170 Event-Related Potential in Autism Spectrum Disorder: A Meta-analysis. Biol Psychiatry Cogn Neurosci Neuroimaging 3:657-666
Foss-Feig, Jennifer H; Stavropoulos, Katherine K M; McPartland, James C et al. (2018) Electrophysiological response during auditory gap detection: Biomarker for sensory and communication alterations in autism spectrum disorder? Dev Neuropsychol 43:109-122
Naples, Adam J; Wu, Jia; Mayes, Linda C et al. (2017) Event-related potentials index neural response to eye contact. Biol Psychol 127:18-24
McPartland, James C (2017) Developing Clinically Practicable Biomarkers for Autism Spectrum Disorder. J Autism Dev Disord 47:2935-2937
Foss-Feig, Jennifer H; Adkinson, Brendan D; Ji, Jie Lisa et al. (2017) Searching for Cross-Diagnostic Convergence: Neural Mechanisms Governing Excitation and Inhibition Balance in Schizophrenia and Autism Spectrum Disorders. Biol Psychiatry 81:848-861
Foss-Feig, Jennifer H; McPartland, James C; Anticevic, Alan et al. (2016) Re-conceptualizing ASD Within a Dimensional Framework: Positive, Negative, and Cognitive Feature Clusters. J Autism Dev Disord 46:342-351
Dasgupta, Jayashree; Bhavnani, Supriya; Estrin, Georgia Lockwood et al. (2016) Translating neuroscience to the front lines: point-of-care detection of neuropsychiatric disorders. Lancet Psychiatry 3:915-917

Showing the most recent 10 out of 21 publications