The Nelson Lab
The Development and Neural Bases of Emotion Processing
The purpose of this study is to investigate the development of emotion processing in the first year of life. Specifically, we are interested in how babies recognize, process, and respond to faces expressing different emotions. To learn about this, we will measure brain activity, eye movements, and physiological responses while babies watch pictures of animal and human faces displaying different emotions.
Eligibility for Participation
We are currently enrolling typically developing infants:
- at 5, 7, and 12 months of age
- Born within 3 weeks of due date
This study involves one visit to the lab. Sessions typically last about an hour and will be scheduled at a time that is convenient for you and your child. Parents stay with their child at all times.
You may also reach us at 857-218-3660 or firstname.lastname@example.org.
The ability to read emotions in facial expressions is a critical skill that helps us to navigate our social world. For example, being able to recognize a fearful, happy, or angry face is key to interacting successfully with the people around us. In the current study, we aim to understand how this ability emerges and evolves throughout infancy. To do this, we will measure the brain’s response to a range of emotional faces. We will also use eye-tracking to monitor how babies look at these faces, measures of skin conductance (sweat) to examine physiological response, and we will collect saliva samples for genetic analysis. By using these varied methods we aim to create a comprehensive picture that charts the developmental course of emotion processing in infancy, including the underlying neural architecture.
Ultimately, we aim to shed light on how emotion processing early in life influences later-emerging social-cognitive abilities, such as pro- and anti-social behavior, and how these early-appearing processes can be influenced by early experience or brain development. If we can create a road map for the typical development of these neural networks, we can potentially identify early markers for children who may be at risk for later issues such as anxiety or mood disorders. Early identification would allow for earlier intervention, which generally leads to better outcomes for children and their families.