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Related Experiment Video

Updated: Jun 12, 2026

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

Methodological approaches in developmental neuroimaging studies.

Beatriz Luna¹, Katerina Velanova, Charles F Geier

¹Laboratory of Neurocognitive Development, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA. lunab@upmc.edu

Human Brain Mapping

|May 25, 2010

Summary

This summary is machine-generated.

Pediatric neuroimaging offers insights into cognitive development. This study details optimal methods for acquiring and analyzing developmental imaging data, addressing unique challenges in pediatric research.

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Last Updated: Jun 12, 2026

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

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Published on: March 10, 2026

Area of Science:

Neuroscience
Developmental Psychology
Medical Imaging

Background:

Pediatric neuroimaging research is advancing our understanding of cognitive development.
Identifying optimal methodological and statistical approaches is crucial for analyzing developmental imaging data.

Purpose of the Study:

To describe optimal approaches for acquiring and analyzing developmental neuroimaging data.
To highlight how methodological choices impact the examination and interpretation of developmental effects.

Main Methods:

Discusses preferred approaches for task selection and defining age groups.
Covers selection of functional magnetic resonance imaging (fMRI) designs and defining regions of interest (ROI).
Addresses optimal baseline measures and treatment of timecourse data.

Main Results:

Selection of specific methodological and statistical approaches influences the ability to examine and interpret developmental effects.
Developmental neuroimaging studies present unique challenges compared to single-group studies.

Conclusions:

Careful consideration of methodological and statistical approaches is essential for successful developmental neuroimaging research.
Addressing unique challenges in study planning, task design, data analysis, and interpretation is critical for pediatric neuroimaging studies.