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Basics of Multivariate Analysis in Neuroimaging Data

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Published on: July 24, 2010

Factors Contributing to Short-Term Structural Variability in a Longitudinal MRI Dataset.

Polona Kalc¹, Mayla Ter Veer^1,2, Robert Dahnke^1,3,4

¹Structural Brain Mapping Group, Department of Neurology, Jena University Hospital, Jena, Germany.

Human Brain Mapping

|March 12, 2026

Summary

This summary is machine-generated.

This study identified factors influencing brain structure changes in longitudinal MRI scans. Image quality, outdoor temperature, and time since baseline significantly impact gray matter volume, highlighting the need for participant arousal during scanning.

Keywords:

longitudinal partial least squares structural MRI within‐subject variance

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High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

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Published on: May 10, 2012

Area of Science:

Neuroimaging
Brain Structure Analysis
Longitudinal Studies

Background:

Longitudinal magnetic resonance imaging (MRI) studies require careful consideration of confounding factors affecting brain structural changes over time.
Understanding intraindividual variability in brain structure is crucial for accurate longitudinal analysis.

Purpose of the Study:

To identify factors contributing to intraindividual variability of brain structure within a short timeframe.
To investigate the impact of various factors on regional gray matter volume changes in longitudinal MRI data.

Main Methods:

Multilevel sparse partial least squares regression was employed.
Analysis was performed on the longitudinal Day2day MRI dataset to examine regional gray matter volume.
Factors influencing image quality variability were also investigated.

Main Results:

Regional gray matter (GM) volume estimations were primarily influenced by image quality.
Outdoor temperature and time since baseline were key predictors of volumetric changes in insular and diencephalic regions.
Factors associated with image quality variability were identified.

Conclusions:

Image quality is a primary driver of GM volume changes in short-term longitudinal MRI.
Environmental factors (outdoor temperature) and study duration (time since baseline) affect specific brain regions.
Maintaining adequate participant arousal during MRI scanning is essential for reliable data.