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Related Experiment Video

Updated: Nov 15, 2025

Assessment of Cerebral Lateralization in Children using Functional Transcranial Doppler Ultrasound fTCD

Assessment of Cerebral Lateralization in Children using Functional Transcranial Doppler Ultrasound fTCD

Published on: September 27, 2010

Design issues and solutions for stop-signal data from the Adolescent Brain Cognitive Development (ABCD) study.

Patrick G Bissett¹, McKenzie P Hagen¹, Henry M Jones¹

¹Department of Psychology, Stanford University, Stanford, United States.

|March 4, 2021

Summary

The Adolescent Brain Cognitive Development (ABCD) study

Keywords:

big data brain development child development human neuroscience race models stop-signal paradigm

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Area of Science:

Neuroscience
Developmental Psychology
Cognitive Science

Background:

The Adolescent Brain Cognitive Development (ABCD) study is a major longitudinal neuroimaging initiative.
It tracks brain development in children aged 9-10 through adolescence.
The stop-signal task is a key component of the study's MRI assessments.

Purpose of the Study:

To identify and address critical design flaws in the ABCD study's stop-signal task.
To evaluate the impact of these issues on existing ABCD data.
To propose solutions for improving future data collection and analyzing current data.

Main Methods:

Analysis of the ABCD study's stop-signal experimental code and collected data.
Identification of specific design problems, including variable stimulus durations, absent stimuli, and incorrect stop-signal delays.
Development of prospective and retrospective solutions for data users.

Main Results:

Eight significant design issues were identified in the stop-signal task.
These issues were shown to compromise the scientific value of the existing ABCD data.
The study details the effects of these flaws on the dataset.

Conclusions:

The identified design issues necessitate careful consideration when interpreting ABCD stop-signal data.
Proposed solutions aim to enhance the reliability of future ABCD data collection.
Recommendations are provided for researchers utilizing the current ABCD dataset.