CI

At a glance

ClinicalIndex Comparison Record
N/ACompleted· 15 enrolled
Drug / intervention
Neurofeedbackother
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.

Search/NCT04105868
NCT04105868N/ACompleted

Visuocortical Dynamics of Affect-Biased Attention in the Development of Adolescent Depression

University of Pittsburgh·interventional·Posted Sep 26, 2019·Updated Nov 13, 2025

In Brief

A clinical study evaluating Neurofeedback for Depression. Completed, enrolled 15 participants across 1 site.

Detailed 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.

Study Details

Study Typeinterventional
Allocation--
Masking--
Primary Purpose--
ConditionsDepression
CountriesUnited States

Timeline

N/ACompletedFinished
2020202120222023202420252026
First PostedSep 26, 2019
Enrollment StartOct 16, 2019
Primary CompletionSep 23, 2024
Study CompletionMar 30, 2025
TodayJul 2, 2026
Enrollment to primary: 4.9 yearsPosted 6.8 years ago

Interventions

Neurofeedbackother

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.