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Detailed T1-Weighted Profiles from the Human Cortex Measured in Vivo at 3 Tesla MRI.
- Source :
- NeuroInformatics; Apr2018, Vol. 16 Issue 2, p181-196, 16p
- Publication Year :
- 2018
-
Abstract
- Studies into cortical thickness in psychiatric diseases based on T1-weighted MRI frequently report on aberrations in the cerebral cortex. Due to limitations in image resolution for studies conducted at conventional MRI field strengths (e.g. 3 Tesla (T)) this information cannot be used to establish which of the cortical layers may be implicated. Here we propose a new analysis method that computes one high-resolution average cortical profile per brain region extracting myeloarchitectural information from T1-weighted MRI scans that are routinely acquired at a conventional field strength. To assess this new method, we acquired standard T1-weighted scans at 3 T and compared them with state-of-the-art ultra-high resolution T1-weighted scans optimised for intracortical myelin contrast acquired at 7 T. Average cortical profiles were computed for seven different brain regions. Besides a qualitative comparison between the 3 T scans, 7 T scans, and results from literature, we tested if the results from dynamic time warping-based clustering are similar for the cortical profiles computed from 7 T and 3 T data. In addition, we quantitatively compared cortical profiles computed for V1, V2 and V7 for both 7 T and 3 T data using a priori information on their relative myelin concentration. Although qualitative comparisons show that at an individual level average profiles computed for 7 T have more pronounced features than 3 T profiles the results from the quantitative analyses suggest that average cortical profiles computed from T1-weighted scans acquired at 3 T indeed contain myeloarchitectural information similar to profiles computed from the scans acquired at 7 T. The proposed method therefore provides a step forward to study cortical myeloarchitecture in vivo at conventional magnetic field strength both in health and disease. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15392791
- Volume :
- 16
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- NeuroInformatics
- Publication Type :
- Academic Journal
- Accession number :
- 129928790
- Full Text :
- https://doi.org/10.1007/s12021-018-9356-2