Chapel Hill Conference on Depression, Bipolar Disorder, and Suicidality/2019/Day 2

This page is under development. More notes and resources will be added soon.

Day 2 is our main conference day! The schedule for the day as well as any applicable notes and resources can be found below.

= Welcome And Introduction (8:00 AM) = Mitchell J. Prinstein, Ph.D. & Eric A. Youngstrom, Ph.D.

= Discussion Of Flipped Keynote #1 (8:15 AM) =

Integrative Data Analysis View before the meeting here. Andrea Hussong, Ph.D.

Talk #1: Dispositional And Environmental Predictors Of And Structural And Functional Correlates Of Adolescent Self-Harm?
Ted Beauchaine, Ph.D., Ohio State University

Talk #2: Substantive Questions Tested With Applied Measurement Methods
Tom Olino, Ph.D., Temple University

Future Directions And Discussion
Elizabeth Mccauley, Ph.D., University Of Washington

Keynote times and topics
Time     Slide      Theme

0:00      #1          Intro

3:00      #6          Data types

3:45      #7          4 V’s of big data

6:00      #12        Area of research

12:00   #15        General outline of sections of talk

15:00   #18        The buzz about ML

24:10   #25        On Learning

35:30   #36        Performance evaluation ß emphasizing prediction over p value

39:00   #39        Is regression a ML model

45:00   #43        General model

48:30   #46        Overview of different ML models

51:00   #49        Supervised (prediction) vs. Unsupervised (descriptive)

54:45   #54        LASSO and other regularization (why would we shrink weights?)

56:00   #55        Variable selection (filters, wrappers, embedded)

57:00   #56        Decision tree & random forest

58:10   #58        Neural networks

1:00:00 #60       Stacking (“superlearning”)

1:01:50 #64       Unsupervised (clustering, PCA, mixture modeling)

1:03:40 #68       Current applications

1:04:30 #69       Ilgen et al. (2009) – decision trees predicting suicide rates

1:05:30 #70       Schnack et al. (2014) – Support Vector Machines (SVMs) discriminating bipolar, schiz, healthy

1:06:30 #71       van Loo (2014) – multiple methods, looking for subtypes of depression

1:08:45 #72       ML and psychometric assessment

1:10:00 #73       ML and mediation effects

1:12:45 #76       ML closing thoughts

1:13:45 #77       Data still king

1:15:00 #79       List of books and code for methods

Articles
These are examples of applications of statistical learning methods in the mood disorders concept space.

Ilgen et al. (2009) – decision trees predicting suicide rates

Schnack et al. (2014) – Support Vector Machines (SVMs) discriminating cases with bipolar disorder, schizophrenia, and healthy controls

van Loo (2014) – multiple statistical methods, looking for subtypes of depression

Books
An Introduction to Statistical Learning with Applications in R

Applied Predictive Modeling

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Machine Learning: A Probabilistic Perspective

= Break & Poster Viewing (Session 2) (1:30 PM) = To view the posters on OSF, click here.

1. Emotion-Related Impulsivity Relates to the p Factor of General Psychopathology

Jennifer G. Pearlstein, Charles S. Carver, Kiara R. Timpano, & Sheri L. Johnson

2. Exploring changes in rumination across hospitalization: A study of adolescent self-injurers

Olivia H. Pollak, Eugene D’Angelo, Matthew K. Nock, & Christine B. Cha

3. Control When it Counts: Executive Control Under Stress Predicts Depressive Symptoms

Meghan E. Quinn and Jutta Joormann

4. Health, crime, and social-welfare inequality cluster in a population segment: Analyses of 4 million citizens from 2 nations

Leah S. Richmond-Rakerd, Stephanie D’Souza, Signe Hald Andersen, Sean Hogan, Renate M. Houts, Richie Poulton, Sandhya Ramrakha, Avshalom Caspi, Barry J. Milne, & Terrie E. Moffitt

5. Mental health service utilization by race/ethnicity in a nationally representative sample from 2004 to 2017

Ana Sheehan, Rachel Walsh, Christina Sanzari, & Richard Liu

6. Brief Mobile Mindfulness Intervention for Ruminative Adolescents: (Very) Preliminary Results from a Randomized Control Trial

Caroline M. Swords, Eleanor Horner, Liesl Hostetter, Eliana Whitehouse, Jialun Yang, & Lori M. Hilt

7. Cerebral Blood Flow is Altered According to Mood States in Adolescents with Bipolar Disorder

Simina Toma, Bradley J. MacIntosh,; Anahit Grigorian, Lisa Fiksenbaum, Andrew D. Robertson, & Benjamin I. Goldstein

8. Experience-Sampling Approach to Emotion Differentiation Across Bipolar and Unipolar Mood Disorders: Associations with Emotion Regulation and Variability

Cynthia M. Villanueva, Douglas Mennin, Greg Murray, Renee J. Thompson, & June Gruber

9. Pregnant women’s self-reported emotion dysregulation predicts newborn neurobehavior

Robert D. Vlisides-Henry, Brendan D. Ostlund, Sarah Terrell, Mindy A. Brown, Elisabeth Conradt, & Sheila E. Crowell

10. Temporal Trends in Peer Victimization among Sexual Minority & Heterosexual Adolescents

Rachel Walsh, Christina Sanzari, Ana Sheehan, & Richard Liu

11. Reduced Hippocampal and Amygdala Volumes as Mechanisms of Stress Sensitization to Depression following Childhood Violence Exposure

David G. Weissman, Hilary K. Lambert, Alexandra M. Rodman, Matthew Peverill, Margaret A. Sheridan, & Katie A. McLaughlin

12. Borderline symptoms at age 12 signal risk for poor outcomes during the transition to adulthood: Findings from a genetically sensitive longitudinal cohort study

Jasmin Wertz, Avshalom Caspi, Antony Ambler, Louise Arseneault, Daniel W. Belsky, Andrea Danese, Helen L. Fisher, Timothy Matthews, Leah Richmond-Rakerd, & Terrie E. Moffitt

13. Examining the Relationship between Reaction to a Suicide Attempt and Subsequent Suicidal Behavior in the Context of a Suicide-Specific IOP.

K. Wolfe, K. Rial, K. Goga, C. Tran, A. Moorehead, B. Kennard, B., & G.J. Emslie

= Data Blitz #2: Three Fast Talks, Three Slides Each, Followed By Discussion (2:45 PM) =

Talk #1: Digital Prediction/Prevention
Matt Nock, Ph.D., Harvard University

Talk #2: Non-Suicidal Self-Injury Among Sexual And Gender Minority Youth
Richard Liu, Ph.D., Brown University School Of Medicine

Talk #3: Emotional Reactivity And Suicidal Ideation: A Prospective Neuroimaging Study
Adam Bryant Miller, Ph.D., University Of North Carolina At Chapel Hill

Talk #1: The Inflamed Brain: A Neuroimmune Model Of Depression
Robin Nusslock, Ph.D., Northwestern University

Talk #2: Predicting Bipolar Disorder Onset In At-Risk Youth.
Anna Van Meter, Ph.D., Northwell Health

Talk #3: Where Are The Windows Of Opportunity For Suicide Prevention In BD?
Ayal Schaffer, MD, FRCPC, Sunnybrook Health Sciences Centre