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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

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Updated: May 5, 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

Interpreting developmental changes in neuroimaging signals.

Russell A Poldrack¹

¹Imaging Research Center and Department of Psychology, University of Texas at Austin, Austin, TX, USA. poldrack@mail.utexas.edu

Human Brain Mapping

|May 25, 2010

Summary

This summary is machine-generated.

Neuroimaging studies of brain development face challenges. This work questions current approaches to developmental neurobiology, "normative" development, and interpretation of findings, advocating for stronger computational and neurobiological links.

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Last Updated: May 5, 2026

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

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Published on: September 12, 2011

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

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Cortical Source Analysis of High-Density EEG Recordings in Children

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Published on: June 30, 2014

Area of Science:

Neuroscience
Developmental Psychology
Cognitive Science

Background:

Neuroimaging studies of developmental changes in brain function are complex.
Significant progress has been made in addressing conceptual challenges in this field.

Purpose of the Study:

To identify and discuss critical issues that remain unresolved in developmental neuroimaging research.
To propose a reevaluation of current methodologies and interpretations in the field.

Main Methods:

Critical analysis of existing literature on developmental neuroimaging.
Examination of the application of developmental neurobiology concepts.
Review of common interpretations of developmental changes in brain function.

Main Results:

The reliance on developmental neurobiology is often misplaced due to the timing of neuroimaging studies.
The concept of "normative" development requires reexamination as it incorporates value judgments.
Common interpretations like "efficiency" and "focalization" may be less useful than assumed.

Conclusions:

Developmental neuroimaging requires a stronger integration of computational and neurobiological perspectives.
Current approaches may misinterpret developmental processes by focusing on later stages or subjective norms.