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Updated: Jun 12, 2026

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
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Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

The "Task B problem" and other considerations in developmental functional neuroimaging.

Jessica A Church1, Steven E Petersen, Bradley L Schlaggar

  • 1Department of Neurology, Washington University School of Medicine, St. Louis, Missouri 63110, USA.

Human Brain Mapping
|May 25, 2010
PubMed
Summary
This summary is machine-generated.

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Functional neuroimaging, especially fMRI, offers safe cognitive study across lifespans. This article addresses key methodological challenges for imaging children, including performance, movement, and data analysis for reliable results.

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Medical Imaging

Background:

  • Functional neuroimaging techniques like fMRI are valuable for studying cognition throughout life and in specific groups.
  • Methodological challenges exist in functional neuroimaging, particularly when studying pediatric populations.
  • Understanding these challenges is crucial for accurate interpretation of neuroimaging data.

Purpose of the Study:

  • To discuss critical methodological issues pertinent to functional neuroimaging in children.
  • To provide strategies for addressing common challenges in pediatric neuroimaging research.
  • To explore implications for interpreting functional neuroanatomical differences and BOLD signal changes.

Main Methods:

  • Review of methodological considerations in functional neuroimaging.

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Last Updated: Jun 12, 2026

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  • Discussion of task performance assessment and group differences.
  • Examination of movement control, statistical power, atlas registration, and data analysis strategies.
  • Exploration of developmental neurovascular differences and interpretation of negative BOLD signals.
  • Main Results:

    • Identified key methodological issues in pediatric functional neuroimaging.
    • Proposed strategies for enhancing data quality and interpretation in child studies.
    • Highlighted the importance of considering developmental factors and signal interpretation nuances.

    Conclusions:

    • Addressing methodological challenges is essential for robust pediatric neuroimaging research.
    • Careful consideration of performance, movement, statistical power, and registration improves data reliability.
    • Understanding developmental neurovascular differences and BOLD signal interpretation is critical for accurate conclusions.