Arousal, emotion regulation and challenging behaviors: Insights from the Autism Inpatient Collection

  • Autism Research
Speaker Matthew Siegel, M.D.
Tufts University
Date & Time


Tea:
4:15 - 5:00pm
Lecture:
5:00 - 6:15pm

Location

Gerald D. Fischbach Auditorium
160 5th Avenue
New York, NY 10010 United States

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Autism Research

Autism Research lectures bring together scientists and scholars to discuss diverse and important topics related to autism. The lectures are open to the public and are held at the Gerald D. Fischbach Auditorium at the Simons Foundation headquarters in New York City. Tea is served prior to each lecture.

On 24 January 2018, Matthew Siegel will draw upon a new resource, the Autism Inpatient Collection data set, to offer preliminary insights into the relationships between physiologic arousal, emotion dysregulation and the occurrence of challenging behaviors. Such behaviors may represent an attempt to modulate physiologic arousal in minimally verbal individuals with autism spectrum disorders.

His talk is part of the Simons Foundation Autism Research lecture series.

About the Lecture

Emotional and behavioral dysregulation are the primary characteristics youth with autism present in clinical settings and are highly predictive of caregiver stress. But the mechanisms that underlie these phenomena are not well understood. These challenges are compounded for youth who are minimally verbal or have an intellectual disability.

In this lecture, Matthew Siegel will draw upon a new resource, the Autism Inpatient Collection data set, to offer preliminary insights into the relationships between physiologic arousal, emotion dysregulation and the occurrence of challenging behaviors. Such behaviors may represent an attempt to modulate physiologic arousal in minimally verbal individuals with autism spectrum disorders (ASD). Siegel will present pilot data, using machine learning approaches, that identifies physiologic arousal as a biomarker of distress in ASD and that illustrates an opportunity to predict the onset of challenging behavior in real time. This work seeks to address the critical, parent-identified issue of uncertainty regarding when a challenging behavior may occur and may open new avenues for intervention.

About the Speaker

Matthew Siegel is an associate professor of psychiatry and pediatrics at Tufts University School of Medicine, the vice president for medical affairs, developmental disorders service at Maine Behavioral Healthcare, and a faculty scientist at the Maine Medical Center Research Institute.  He attended Amherst College, Stanford Medical School and trained at Brown University in child psychiatry, psychiatry, and pediatrics. Siegel is the principal investigator of the Autism Inpatient Collection and is an expert in the inpatient treatment of challenging behaviors in individuals with autism and other developmental disorders.

Past Lectures

Autism genetics: Searching for coherence

Daniel Geschwind, M.D., Ph.D.Professor, University of California, Los Angeles

On 28 November, Daniel Geschwind discussed his group’s use of RNA sequencing, chromatin structure and gene networks to help develop an understanding of potential convergent mechanisms in autism spectrum disorders.

Understanding autism and other neurodevelopmental disorders: From the embryo to brain organoids

Paola Arlotta, Ph.D.Professor, Harvard University

On 1 November 2017, Paola Arlotta focused on the cerebral cortex and presented the challenges and opportunities of modeling human brain development using pluripotent stem cells within 3D human brain organoids. Building on developmental work in mice, such organoids promise a better understanding of complex neurodevelopmental conditions such as autism spectrum disorder.

Leveraging long-term health data and exome sequencing for autism-related gene discovery

David Ledbetter, Ph.D., FACMGExecutive Vice President & Chief Scientific Officer, Geisinger Health System

On 11 October 2017, David Ledbetter discussed the progress made by Geisinger Health System’s Precision Health Center – in partnership with Regeneron Genetics Center – towards advancing research and innovation by leveraging electronic health data and exome sequence data. Such an approach has already led to the successful identification of new drug targets and improved prevalence estimates of common Mendelian conditions, including familial hypercholesterolemia, BRCA-related cancers and Lynch syndrome, as well as autism spectrum and neuropsychiatric copy number variant disorders.

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