Difference between revisions of "SOCR News 2018 NIAAA SfN SD"
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==Logistics== | ==Logistics== | ||
* '''Event''': Friday, November 2, 2018 [https://www.sfn.org/annual-meeting/neuroscience-2018/sessions-and-events/satellite-events Annual NIDA-NIAAA Frontiers in Addiction Research Mini-Convention at SfN] | * '''Event''': Friday, November 2, 2018 [https://www.sfn.org/annual-meeting/neuroscience-2018/sessions-and-events/satellite-events Annual NIDA-NIAAA Frontiers in Addiction Research Mini-Convention at SfN] | ||
| + | * [https://apps1.seiservices.com/nida-niaaa/frontiers2018/ Convention Website] | ||
* '''Place/Time''': 8:30am - 5:30pm, [https://visitsandiego.com/facility/floor-plans-specs San Diego Convention Center, 7AB], 111 W Harbor Dr, San Diego, CA 92101 | * '''Place/Time''': 8:30am - 5:30pm, [https://visitsandiego.com/facility/floor-plans-specs San Diego Convention Center, 7AB], 111 W Harbor Dr, San Diego, CA 92101 | ||
* '''Sponsors''': [https://www.nih.gov/ National Institute on Drug Abuse (NIDA), National Institute on Alcohol Abuse and Alcoholism (NIAAA), National Institutes of Health], DHHS, and [https://www.sfn.org Society fro Neuroscience] | * '''Sponsors''': [https://www.nih.gov/ National Institute on Drug Abuse (NIDA), National Institute on Alcohol Abuse and Alcoholism (NIAAA), National Institutes of Health], DHHS, and [https://www.sfn.org Society fro Neuroscience] | ||
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* '''Title''': ''Open Data Science and Predictive Health Analytics'' | * '''Title''': ''Open Data Science and Predictive Health Analytics'' | ||
* '''Abstract''': This talk will provide a brief overview of data science and its relation to addiction, mental health, and aging. We will present examples of advanced analytical techniques and protocols for representation, modeling, interrogation, and visualization of complex, heterogeneous, multisource, incomplete, multiscale, and time-varying data. Applications to biomedical and healthcare case-studies will be demonstrated using national and international open-access data archives. | * '''Abstract''': This talk will provide a brief overview of data science and its relation to addiction, mental health, and aging. We will present examples of advanced analytical techniques and protocols for representation, modeling, interrogation, and visualization of complex, heterogeneous, multisource, incomplete, multiscale, and time-varying data. Applications to biomedical and healthcare case-studies will be demonstrated using national and international open-access data archives. | ||
| + | * '''Slides''': [http://socr.umich.edu/docs/uploads/2018/Dinov_DS_PredictiveHealthAnalytics_2018_NIAAA_SfN.pdf Slidedeck] | ||
===References=== | ===References=== | ||
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* [https://doi.org/10.1523/JNEUROSCI.4967-09.2010 DOI: 10.1523/JNEUROSCI.4967-09.2010] | * [https://doi.org/10.1523/JNEUROSCI.4967-09.2010 DOI: 10.1523/JNEUROSCI.4967-09.2010] | ||
* [https://doi.org/10.1016/j.neuroimage.2010.01.111 DOI: 10.1016/j.neuroimage.2010.01.111] | * [https://doi.org/10.1016/j.neuroimage.2010.01.111 DOI: 10.1016/j.neuroimage.2010.01.111] | ||
| − | * [https://www.springer.com/us/book/9783319723464 Data Science and Predictive Analytics | + | * [https://www.springer.com/us/book/9783319723464 Data Science and Predictive Analytics: Biomedical and Health Applications using R] |
| − | Biomedical and Health Applications using R] | ||
Latest revision as of 13:58, 27 October 2018
Contents
SOCR News & Events: Annual NIDA-NIAAA Frontiers in Addiction Research Mini-Convention at SfN
Logistics
- Event: Friday, November 2, 2018 Annual NIDA-NIAAA Frontiers in Addiction Research Mini-Convention at SfN
- Convention Website
- Place/Time: 8:30am - 5:30pm, San Diego Convention Center, 7AB, 111 W Harbor Dr, San Diego, CA 92101
- Sponsors: National Institute on Drug Abuse (NIDA), National Institute on Alcohol Abuse and Alcoholism (NIAAA), National Institutes of Health, DHHS, and Society fro Neuroscience
Outline
The Mini-Convention presents cutting-edge topics in addiction research. The agenda will include the 2018 Jacob P. Waletzky Memorial Award Lecture and the following sessions: Data Science Approaches for Addiction Research, Effects of Early Life Adversity on Substance Use-Related Circuity, and Novel Opioid Receptor Signaling. It will additionally showcase research by premier early career investigators. Hosted by the National Institute on Drug Abuse (NIDA) and the National Institute on Alcohol Abuse and Alcoholism (NIAAA).
Program/Agenda
| 8:30 – 8:40 a.m. | Introduction and Opening remarks | George Koob, Ph.D. Director, NIAAA and Nora D. Volkow, M.D., Director, NIDA |
| 8:40 – 10:10 a.m. | Session I. Data Science – New Paradigms for Addiction Research | |
| John D. Van Horn, Ph.D., University of Southern California |
Data Science: an introduction to the computational tools and techniques for large-scale biomedical research | |
| Ivo D. Dinov, Ph.D., University of Michigan | Open Data Science and Predictive Health Analytics | |
| Danielle S. Bassett, Ph.D., University of Pennsylvania | On the nature and use of models in network neuroscience | |
| Partha P. Mitra, Ph.D., Cold Spring Harbor Laboratory | Modern computational neuroanatomy: Mesoscale circuit mapping in mouse and marmoset | |
| 10:10 – 10:20 a.m. | Break | |
| 10:20 – 11:30 a.m. | Jacob P. Waletzky Memorial Award Lecture | |
| 11:30 a.m. – 1:00 p.m. | Joint NIDA-NIAAA Early Career Investigator Showcase [ECIS] | |
| 1:00 – 2:00 p.m. | Lunch (on your own) | |
| 2:15– 3:45 p.m. | Session II. Effects of Early Life Adversity on Substance Use Disorder-Related Circuitry | |
| Byungkook Lim, Ph.D., UC San Diego | Dopamine circuitry mediates early life stress-induced social dysfunction | |
| Damien Fair, PA-C, Ph.D., Oregon Health and Science University | Heterogeneity in Maternal Stress Trajectories Relates to Offspring Brain and Behavioral Outcomes | |
| Cynthia Rogers, M.D., Washington University | Preterm birth effects on neuronal function | |
| Anushree N. Karkhanis, Ph.D., Wake Forest University | The effects of early-life social isolation on ethanol’s effects on the brain | |
| 3:45 – 3:55 p.m. | Break | |
| 3:55 – 5:25 p.m. | Session III. Novel Opioid Receptor Signaling in Addiction and Pain | |
| Gregory Scherrer, Pharm.D., Ph.D, Stanford University | Nociceptors, opioid receptors, and maladaptive synaptic mechanisms in pain, hyperalgesia and opioid tolerance. | |
| Lakshmi A. Devi, Ph.D., Icahn School of Medicine Mount Sinai | Targeting cannabinoid 1 and delta opioid receptor heteromers alleviates paclitaxel-induced neuropathic pain. | |
| Mark Von Zastrow, M.D., Ph.D, University of California, San Francisco | Subcellular regulation and processing of opioid receptors in neural circuit, function, plasticity and remodeling. | |
| 5:25 – 5:30 p.m. | Wrap-up | |
| 5:30 p.m. | Adjournment |
Dr. Dinov's Talk
- Title: Open Data Science and Predictive Health Analytics
- Abstract: This talk will provide a brief overview of data science and its relation to addiction, mental health, and aging. We will present examples of advanced analytical techniques and protocols for representation, modeling, interrogation, and visualization of complex, heterogeneous, multisource, incomplete, multiscale, and time-varying data. Applications to biomedical and healthcare case-studies will be demonstrated using national and international open-access data archives.
- Slides: Slidedeck
References
- DOI: 10.1038/s41598-018-24783-4
- DOI: 10.1523/JNEUROSCI.4967-09.2010
- DOI: 10.1016/j.neuroimage.2010.01.111
- Data Science and Predictive Analytics: Biomedical and Health Applications using R
- SOCR Home page: http://www.socr.umich.edu
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