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<p>Psychiatry is undergoing a shift toward precision medicine, demanding personalized approaches that capture the complexity of cognition and behavior. Here, we introduce a novel referential of four robust, replicable, and generalizable cognitive and behavioral profiles. These were derived from a large pediatric cohort (ABCD: <i>n</i> = 10,843) and validated in two independent cohorts (BANDA: <i>n</i> = 195 and GESTE: <i>n</i> = 271) regrouping children aged 9–17 years. We demonstrate the profiles’ longitudinal stability and consistency with clinical diagnoses in the general population while exposing critical discrepancies across parent-reported, youth-reported, and expert-derived diagnoses. Beyond validation, we showcase the real-world utility of our approach by linking profiles to environmental factors, revealing associations between parental influences and youths’ cognition and behavior. Our fuzzy profiling framework moves beyond discrete classification, offering a powerful tool to refine psychiatric evaluation and intervention. We provide an open-source framework, enabling researchers and clinicians to fast-track implementation and foster a data-driven, domain-based approach to diagnosis.</p>

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Beyond discrete classifications: a computational approach to the continuum of cognition and behavior in children

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月1日

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  • Anthony Gagnon,
  • Virginie Gillet,
  • Anne-Sandrine Desautels,
  • Jean-François Lepage,
  • Andrea A. Baccarelli,
  • Jonathan Posner,
  • Maxime Descoteaux,
  • Marie A. Brunet,
  • Larissa Takser

摘要

Psychiatry is undergoing a shift toward precision medicine, demanding personalized approaches that capture the complexity of cognition and behavior. Here, we introduce a novel referential of four robust, replicable, and generalizable cognitive and behavioral profiles. These were derived from a large pediatric cohort (ABCD: n = 10,843) and validated in two independent cohorts (BANDA: n = 195 and GESTE: n = 271) regrouping children aged 9–17 years. We demonstrate the profiles’ longitudinal stability and consistency with clinical diagnoses in the general population while exposing critical discrepancies across parent-reported, youth-reported, and expert-derived diagnoses. Beyond validation, we showcase the real-world utility of our approach by linking profiles to environmental factors, revealing associations between parental influences and youths’ cognition and behavior. Our fuzzy profiling framework moves beyond discrete classification, offering a powerful tool to refine psychiatric evaluation and intervention. We provide an open-source framework, enabling researchers and clinicians to fast-track implementation and foster a data-driven, domain-based approach to diagnosis.