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Adolescent Attention to Emotion Study

NCT04105868 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 15

Last updated 2025-11-13

Study results available
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Summary

Rates of depression increase rapidly during adolescence, especially for girls, and, thus, research is needed to spur the development of novel interventions to prevent adolescent depression. This project seeks to determine if a novel visuocortical probe of affect-biased attention (i.e., steady-state visual evoked potentials derived from EEG) can 1) be used to prospectively predict depression using a multi-wave repeated measures design and 2) modify affect-biased attention and buffer subsequent mood reactivity using real time neurofeedback. This work could ultimately lead to improved identification of adolescents who are at high risk for depression and directly inform the development of mechanistic treatment targets to be used in personalized intervention prescriptions for high-risk youth.

Conditions

Interventions

OTHER

Neurofeedback

Participants will receive feedback during a computerized task that is based on their own visuocortical activity evoked by attention to negative distractors and task-relevant stimuli on the computer screen.

Sponsors & Collaborators

  • National Institute of Mental Health (NIMH)

    collaborator NIH

  • University of Pittsburgh

    lead OTHER

Principal Investigators

  • Mary Woody, PhD · University of Pittsburgh

Study Design

Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
13 Years
Max Age
15 Years
Sex
FEMALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2019-10-16
Primary Completion
2024-09-23
Completion
2025-03-30

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04105868 on ClinicalTrials.gov