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Developmental Differences in N170 Morphology in Children with Autism Spectrum Disorder: Results from the ABC-CT Interim Analysis

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Developmental Differences in N170 Morphology in Children with Autism Spectrum Disorder: Results from the ABC-CT Interim Analysis Developmental Differences in N170 Morphology in Children with Autism Spectrum Disorder: Results from the ABC-CT Interim Analysis Bagdasarov, A., Naples, A., McAllister, T., Stahl, D., Carlos, C., Kala, S., Chawarska, K., Dawson, G., Bernier, R., Jeste, S., Nelson, C., Dziura, J., Brandt, C., Webb, S., Sugar, C., Murias, M., Shic, F., & McPartland, J. BACKGROUND METHOD RESULTS • Individuals with autism spectrum disorder (ASD) exhibit increased latency of the N170, a Bifid distribution among participants: Logistic regressions between bifid presence face-sensitive event-related potential (ERP) Bifid N170 Selection Criteria • There was no difference in bifid presence and age, clinical characteristics, and N170 • The morphology of these ERPs is highly variable across diagnostic groups for upright faces latency for all participants: Two negative peaks 15 P100 • In 65% of typically developing (TD) children aged 4 to 12 years, the face N170 is bifid 1 (p = .700) following a P100 between (i.e., shows two peaks; Taylor, Batty, & Itier, 2014) • Children with ASD were more likely to have 100 and 300 milliseconds • Variability in N170 waveform morphology has not been quantified across development in a have a bifid N170 for inverted faces after stimulus presentation 10 Upright Faces Inverted Faces ASD or TD 4 (p = .026) TD & ASD B p-value B p-value • N170 morphology may reflect important underlying neural processes 2 Both negative peaks within Upright Faces Inverted Faces Age .001 .032 .000 .746 • Understanding atypical waveform morphology and its relation to phenotype in ASD is Bifid Count 150 milliseconds of each 5 Bifid No Bifid Bifid No Bifid FSIQ .002 .872 -.031 .007 necessary for understanding the potential of the N170 as a biomarker other 3 N170 TD & ASD 33 139 31 141 ADOS CSS .001 .980 .161 .015 TD only 10 47 5 52 NEPSY MF .128 .064 -.106 .121 OBJECTIVES: 3 Both negative peaks within Amplitude (microvolts) 0 1. Quantify bifid N170 morphology in children with ASD and TD controls 10 microvolts of each other 2 ASD only 23 92 26 89 N170 Latency -.050 < .001 -.028 .006 2. Quantify relationships among bifid N170 morphology, age, diagnosis, and clinical Logistic regressions between bifid presence and age, clinical characteristics, and N170 characteristics 4 Negative peaks separated by a positive peak −5 latency separated by diagnosis: METHOD −100 0 100 200 300 1 400 Latency (milliseconds) Upright Faces Inverted Faces Upright Faces Inverted Faces TD only ASD only Participants: B p-value B p-value B p-value B p-value • 172 children, 6 to 11 years of age, participating in the Autism Biomarkers Consortium for RESULTS Age .001 .297 -.001 .370 Age .001 .059 .000 .448 Clinical Trials (ABC-CT) FSIQ -.015 .603 -.034 .400 FSIQ .008 .527 -.023 .082 Behavioral Data: ADOS CSS -.134 .788 -.122 .857 ADOS CSS -.073 .552 .135 .274 Examples of Variability in Individual Bifid Waveforms • ASD diagnoses were confirmed via the Autism Diagnostic Observation Schedule (ADOS- NEPSY MF .089 .539 .361 .113 NEPSY MF .183 .036 -.122 .128 2), the Autism Diagnostic Interview (ADI-R), and clinician endorsement of DSM-5 criteria N170 Latency -.076 .001 .019 .272 N170 Latency -.046 < .001 -.040 .001 10 15 for ASD P100 P100 • Full Scale IQ (FSIQ): Differential Abilities Scale (DAS-II) 5 10 DISCUSSION • Developmental Neuropsychological Assessment – Memory for Faces Subscale (NEPSY MF) • This is the first study to quantify bifid N170 morphology in TD and ASD children 0 5 • Bifid N170 morphology varied across individuals, which may yield less reliable N170 Amplitude (microvolts) n Age FSIQ * ADOS CSS * NEPSY MF * Amplitude (microvolts) amplitude and latency estimates, and may affect grand averaged waveforms −5 0 • Overall, older age and faster N170 latency predicted bifid presence for upright faces, 57 8.65 (1.73); 114.40 (12.84); 1.46 (0.73); 11.26 (2.49); TD (36 male) 6.02 – 11.52 88 – 150 1 – 3 6 – 16 N170 suggesting bifid morphology may reflect more efficient neural processing of faces in this −10 N170 −5 115 8.76 (1.60); 98.34 (18.18); 7.64 (1.89); 8.96 (2.87); −100 0 100 200 300 400 −100 0 100 200 300 400 constrained age range ASD Latency (milliseconds) Latency (milliseconds) (88 male) 6.07 – 11.50 60 – 149 4 – 10 3 – 15 • For inverted faces, lower cognitive functioning and greater ASD symptomatology Presented as Mean (Standard Deviation); Range First negative peak is more negative Second negative peak is more negative predicted bifid presence, suggesting that these children processed inverted faces in a * Means significantly differ between groups, p < .001 different way than upright faces EEG Acquisition: EEG was recorded with a Stimuli: Upright and inverted faces and • In TD children, faster N170 latency only predicted bifid presence for upright faces, while 128-channel HydroCel Geodesic sensor net. houses were presented. Upright and Grand Average of Bifid Waveforms vs. No-Bifid Waveforms in children with ASD, faster N170 latency predicted bifid presence for both upright and Right occipitotemporal electrodes were inverted faces were analyzed in the present inverted faces analyzed. Front Of Head study. Bifid (n = 33) No-Bifid (n = 139) • In conclusion, our results indicate that waveform shape is meaningfully associated with 15 individual variability within and between groups, which is relevant to interpreting ERPs as 15 P100 biomarkers in ASD P100 10 10 • Extant research, however, reduces this information to a single measurement, potentially discarding useful information about brain activity Right Occipitotemporal Electrodes 5 5 • Approaches that quantify waveform shape may yield more informative representations of Upright Face Inverted Face N170 brain activity, but at the expense of simplicity N170 Amplitude (microvolts) Statistical Analyses: Amplitude (microvolts) 0 0 • Ongoing research focuses on analyzing the stability of bifid N170 morphology over time • Chi-square analyses were performed to determine the relationship between bifid N170 presence and diagnosis for both upright and inverted faces −5 −5 Corresponding Author: • −100 0 100 200 300 400 −100 0 100 200 300 400 Armen Bagdasarov Logistic regressions were performed to determine the relationships between bifid N170 Latency (milliseconds) Latency (milliseconds) presence and age, N170 latency, and clinical characteristics for both upright and inverted Sara S. Sparrow Fellow in Clinical Neuroscience To digitally access To digitally access McPartland Lab, Yale Child Study Center Grand average of bifid waveforms reflects flattened peak and reduced negative this poster and this poster and [email protected] faces other posters from other posters from the ABC-CT, scan the McPartland Lab, (203) 737 – 4586 amplitude (due to temporally separated negative peaks) the QR code above scan the QR code • For bifid N170 waveforms, the latency of the first negative peak was used in analyses above FUNDING SOURCE: NIMH 1U19MH108206-01 (MCPARTLAND).
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