A longitudinal resource for studying connectome development and its psychiatric associations during childhood

Russell H Tobe1,2,3, Anna MacKay-Brandt4, Ryan Lim4

  • 1Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, 10962, USA. russell.tobe@nki.rfmh.org.

Scientific Data
|June 14, 2022
PubMed

Insights

This study introduces a pediatric brain development investigation to map normative trajectories and identify markers for mental health disorders. The research aims to improve diagnosis and management of pediatric conditions.

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Psychiatry

Background:

  • Most psychiatric disorders are chronic, disabling, and emerge during childhood.
  • Advancements in neuroscience enable detailed study of pediatric brain development and behavior.
  • There is a growing need for normative data and diagnostic tools for pediatric mental health and learning disorders.

Purpose of the Study:

  • To establish normative pediatric brain development trajectories.
  • To identify reliable metrics for distinguishing pediatric mental illness.
  • To develop tools for diagnosing and managing pediatric mental health and learning disorders.

Main Methods:

  • The NKI-Rockland Sample Longitudinal Discovery of Brain Development Trajectories substudy enrolled 369 children (ages 6-17).
  • A 24-30 month longitudinal design was employed using a community-ascertained sample.
  • Data collection included psychiatric, medical, behavioral, cognitive, multimodal brain imaging (MRI, fMRI, ASL), genetics, and actigraphy.

Main Results:

  • The study protocol for longitudinal brain development trajectories is presented.
  • Detailed multimodal data were collected to characterize development.
  • The dataset aims to support research into normative development and illness markers.

Conclusions:

  • The presented protocol facilitates the study of pediatric brain development.
  • This initiative provides a rich dataset for understanding developmental trajectories.
  • The findings are expected to advance the diagnosis and management of pediatric disorders.