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Quantitative Structural Brain Magnetic Resonance Imaging Analyses: Methodological Overview and Application to Rett
Tadashi Shiohama1, Keita Tsujimura2,3,4,5
1Department of Pediatrics, Chiba University Hospital, Chiba, Japan.
Frontiers in Neuroscience
|April 22, 2022
Summary
Quantitative magnetic resonance imaging (MRI) and diffusion-weighted MRI tractography reveal brain structure abnormalities in congenital genetic disorders. These neuroimaging biomarkers aid in early diagnosis and treatment evaluation for conditions like Rett syndrome.
Area of Science:
- Neuroscience
- Medical Imaging
- Genetics
Background:
- Congenital genetic disorders frequently manifest neurological symptoms, including developmental delays and epilepsy.
- Qualitative neuroimaging has identified structural brain abnormalities like lissencephaly and cortical tubers in these conditions.
- Quantitative analysis of neuroimaging data offers advanced insights beyond clinical observations.
Purpose of the Study:
- To review methodologies for quantitative structural brain MRI analysis in congenital genetic disorders.
- To explore the application of voxel-based morphometry, surface-based morphometry, and diffusion-weighted MRI tractography.
- To highlight the potential of neuroimaging biomarkers for early diagnosis and treatment response assessment.
Main Methods:
- Review of quantitative structural magnetic resonance imaging (MRI) techniques.
- Analysis of voxel-based morphometry (VBM) and surface-based morphometry (SBM) studies.
- Examination of diffusion-weighted MRI tractography applications.
Main Results:
- Quantitative MRI analyses reveal subtle yet significant structural brain differences in congenital genetic disorders.
- These advanced imaging techniques can identify abnormalities not apparent in standard clinical assessments.
- Rett syndrome serves as a key example for applying these quantitative neuroimaging methods.
Conclusions:
- Quantitative structural brain MRI and tractography are powerful tools for understanding congenital genetic disorders.
- Neuroimaging biomarkers derived from these methods can significantly improve early diagnosis and monitoring.
- Further research in this area promises enhanced patient care and therapeutic strategies.

