Brain and Daily Responses to Emotion and Reward
We're sorry. This study is closed and no longer recruiting participants.
STUDY BASICS
Are you the parent of a healthy child between the ages of 9 and 13 years old? If so, you and your child may be able to participate in a research study that is looking at how a history of depression in the parent relates to how their child processes emotions. Parents with or without a history depression needed. Compensation provided.
STUDY PURPOSE
The purpose of this study is to examine how a history of depression in the parent relates to the way their child processes emotions. Researchers also want to understand how a child’s responses to emotion may predict the development of depression or other emotional problems over time.COULD THIS STUDY BE RIGHT FOR YOU?
- Age 18 and up
- Parent of a healthy child between the ages of 9-13
- Parent with or without history of depression
WHAT PARTICIPANTS CAN EXPECT
Participation will last up to a year and involves up to 4 visits. The first visit is a psychiatric interview that will include questions about parent and child’s emotional functioning. During the second visit, your child will complete an EEG assessment. This will measure your child’s brain waves and eye movements as he/she completes computer-based tasks. The third visit is called a daily life assessment. Your child will be lent a smartphone and your child will answer questions over a 9 day period. Smartphones will be collected at the end of the study. The final visit (one-year follow-up) will be the same as the initial visit. Participants will also be given the opportunity to attend an additional EEG assessment at the follow-up time point.IRB: STUDY20070098B
- Neurobehavioral Predictors of Emotional Deficits in Youth at Risk for Depression (Youth Emotion and Brain Study - YEBS)MEET THE RESEARCHER

Lauren Bylsma
Lauren M. Bylsma, PhD, is an Associate Professor of Psychiatry at the University of Pittsburgh School of Medicine. Dr. Bylsma specializes in examining emotional processes across development using neurobehavioral and psychophysiological measures, with a focus on familial risk for depression.