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High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
Published on: May 10, 2012
Mapping apparent eccentricity and residual ensemble anisotropy in the gray matter using angular
Noam Shemesh1, Daniel Barazany, Ofer Sadan
1School of Chemistry, The Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel.
Magnetic Resonance in Medicine
|December 1, 2011
Summary
Angular double-pulsed-field-gradient MRI reveals microstructural details in the rat brain. This novel technique characterizes gray matter morphology and potential pathologies.
Area of Science:
- Neuroimaging
- Biophysics
- Magnetic Resonance Imaging
Background:
- Conventional diffusion MRI (dMRI) primarily visualizes white matter microarchitecture via diffusion anisotropy.
- Double-pulsed-field-gradient (dPFG) MRI offers microstructural insights, including compartment shape and microscopic anisotropies, even in randomly oriented tissues.
Purpose of the Study:
- To introduce and apply angular double-pulsed-gradient-spin-echo (aDPGSE) MRI in the rat brain, both ex vivo and in vivo.
- To investigate the potential of aDPGSE MRI for characterizing gray matter microstructural features.
Main Methods:
- Application of angular double-pulsed-gradient-spin-echo MRI on rat brains (ex vivo and in vivo).
- Analysis of angular dependencies at long mixing times (t(m)).
- Development of an analysis scheme to map structural indices like apparent eccentricity (aE) and residual phase (φ).
Main Results:
- Robust angular dependencies were detected in the rat brain at long t(m).
- Observed oscillations suggest origins from residual directors in randomly oriented media (residual ensemble anisotropy).
- The developed analysis scheme successfully mapped structural indices (aE, φ) for brain characterization.
Conclusions:
- Angular double-pulsed-gradient-spin-echo MRI is demonstrated for the first time in the rat brain.
- The technique shows promise for characterizing gray matter morphological features.
- This method may become valuable for identifying gray matter pathologies in neuroscience research.
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