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Preparation of Parasagittal Slices for the Investigation of Dorsal-ventral Organization of the Rodent Medial Entorhinal Cortex
Published on: March 28, 2012
Predicting the location of entorhinal cortex from MRI
Bruce Fischl1, Allison A Stevens, Niranjini Rajendran
1Athinoula A Martinos Center, Department of Radiology, MGH, Harvard Medical School, Charlestown, MA 02129, USA. fischl@nmr.mgh.harvard.edu
Neuroimage
|April 21, 2009
Summary
Accurately locating the entorhinal cortex (EC) aids early Alzheimer's disease (AD) detection. New MRI methods precisely map EC using brain folding patterns, enabling earlier AD diagnosis and intervention.
Area of Science:
- Neuroimaging
- Neuroanatomy
- Alzheimer's Disease Research
Background:
- The entorhinal cortex (EC), crucial for memory and navigation, is an early site affected in Alzheimer's disease (AD).
- Precise EC localization is vital for early AD detection and diagnosis.
- Current methods for EC identification may lack the required accuracy for early-stage AD detection.
Purpose of the Study:
- To develop and validate a method for accurate in vivo localization of the entorhinal cortex (EC).
- To leverage ultra-high resolution MRI and surface-based registration for precise EC mapping.
- To improve early detection of Alzheimer's disease (AD) by accurately identifying EC location.
Main Methods:
- Utilized ultra-high resolution ex vivo MRI to visualize EC architectonic features.
- Applied surface-based registration techniques to quantify EC variability relative to cortical geometry.
- Developed predictive models for EC localization on in vivo MRI scans based on cortical folding patterns.
Main Results:
- Demonstrated that EC can be localized with high accuracy using cortical folding patterns.
- Achieved in vivo EC localization within a 3 mm margin of error.
- Established a significant advancement in the ability to pinpoint EC location in living subjects.
Conclusions:
- Cortical folding patterns provide a reliable basis for accurate in vivo EC localization.
- This technique represents a significant step forward for the early detection of Alzheimer's disease.
- Improved EC localization facilitates timely clinical intervention when AD treatment is most effective.

