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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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Related Experiment Video

Updated: Sep 11, 2025

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

Challenges in measuring individual differences of brain function.

Ting Xu¹, Gregory Kiar¹, Xi-Nian Zuo²

¹Child Mind Institute, Center for the Integrative Developmental Neuroscience, New York, NY, United States.

Imaging Neuroscience (Cambridge, Mass.)

|August 13, 2025

Summary

This summary is machine-generated.

Personalized medicine requires understanding individual brain function. This study highlights how within-individual variations impact brain imaging, emphasizing measurement reliability for accurate analysis of individual differences.

Keywords:

brain function fingerprinting individual differences intraindividual variation reliability

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Last Updated: Sep 11, 2025

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

Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks

Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks

Published on: August 9, 2016

Cortical Source Analysis of High-Density EEG Recordings in Children

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

Area of Science:

Neuroimaging
Cognitive Neuroscience
Personalized Medicine

Background:

Functional neuroimaging research is shifting towards understanding individual differences in brain function.
This shift presents challenges in accurately measuring sources of variation in brain signals.
Individual variation is a key factor in personalized medicine and behavioral neuroscience.

Purpose of the Study:

To highlight the impact of within-individual variations in functional neuroimaging.
To discuss measurement reliability as a tool for analyzing individual differences.
To address challenges in accurately measuring brain function variations.

Main Methods:

This is a perspective piece, not an empirical study.
It reviews existing literature on individual differences in neuroimaging.
It discusses the concept and importance of measurement reliability.

Main Results:

Within-individual variations significantly affect the measurement of individual differences in brain function.
Measurement reliability is crucial for distinguishing true individual differences from random fluctuations.
Ignoring within-individual variability can lead to inaccurate conclusions.

Conclusions:

Accurate measurement of individual differences in brain function is essential for personalized medicine.
Measurement reliability is a critical factor to consider in functional neuroimaging research.
Future research must account for both within- and between-individual variations for robust findings.