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Related Concept Videos

Cognitive Development During Adolescence01:18

Cognitive Development During Adolescence

During adolescence, individuals experience significant cognitive development that enhances their understanding of others' emotions and thoughts, known as cognitive empathy. This period is marked by an increased ability to adapt to others' perspectives and a more nuanced understanding of others' mental states, a skill that is foundational for social problem-solving and conflict avoidance. The development of cognitive empathy relies heavily on the theory of mind — the recognition that people have...
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Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

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The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...
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Harmonized psychiatric diagnosis data from the Adolescent Brain Cognitive Development Study.

Eugenia Giampetruzzi1, Daniel S Pine2, André Zugman2

  • 1Stanford University.

Research Square
|June 29, 2026
PubMed
Summary

The Adolescent Brain Cognitive Development (ABCD) Study

Keywords:
ABCDKSADSdiagnosis

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Data Science

Background:

  • The Adolescent Brain Cognitive Development (ABCD) Study collected data from 11,858 participants across eight waves.
  • The Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-COMP) was used, presenting complex data structures.
  • Varied scoring decisions and data handling by researchers lead to significant diagnostic definition discrepancies.

Purpose of the Study:

  • To address the challenge of inconsistent diagnostic definitions in the ABCD Study data.
  • To present a standardized pipeline for explicit decision-making in data analysis.
  • To provide a harmonized, analysis-ready diagnostic dataset for ABCD release 7.0.

Main Methods:

  • Developed a data processing pipeline to standardize scoring and handling of KSADS-COMP data.
  • Explicitly defined all scoring decisions, including data merging, missingness codes, and module variations.
  • Created a harmonized diagnostic dataset for ABCD release 7.0.

Main Results:

  • Demonstrated that diagnostic prevalence in ABCD release 7.0 can range from 1.9% to 56.8% based on definition.
  • The pipeline ensures transparency and reproducibility in diagnostic data analysis.
  • A harmonized dataset is now available for researchers.

Conclusions:

  • Standardized data processing is crucial for accurate and consistent diagnostic research in large cohorts.
  • The presented pipeline and dataset facilitate more reliable analyses of adolescent mental health.
  • Recommendations for multiverse analysis and a recommended configuration are provided.