Assessment of the Depiction of Superficial White Matter Using Ultra‐High‐Resolution Diffusion <scp>MRI</scp>
The superficial white matter (SWM) consists of numerous short-range association fibers connecting adjacent and nearby gyri and plays an important role in brain function, development, aging, and various neurological disorders. Diffusion MRI (dMRI) tractography is an advanced imaging technique that enables in vivo mapping of the SWM. However, detailed imaging of the small, highly-curved fibers of the SWM is a challenge for current clinical and research dMRI acquisitions. This work investigates the efficacy of mapping the SWM using in vivo ultra-high-resolution dMRI data. We compare the SWM mapping performance from two dMRI acquisitions: a high-resolution 0.76-mm isotropic acquisition using the generalized slice-dithered enhanced resolution (gSlider) protocol and a lower resolution 1.25-mm isotropic acquisition obtained from the Human Connectome Project Young Adult (HCP-YA) database. Our results demonstrate significant differences in the cortico-cortical anatomical connectivity that is depicted by these two acquisitions. We perform a detailed assessment of the anatomical plausibility of these results with respect to the nonhuman primate (macaque) tract-tracing literature. We find that the high-resolution gSlider dataset is more successful at depicting a large number of true positive anatomical connections in the SWM. An additional cortical coverage analysis demonstrates significantly higher cortical coverage in the gSlider dataset for SWM streamlines under 40 mm in length. Overall, we conclude that the spatial resolution of the dMRI data is one important factor that can significantly affect the mapping of SWM. Considering the relatively long acquisition time, the application of dMRI tractography for SWM mapping in future work should consider the balance of data acquisition efforts and the efficacy of SWM depiction.
Authors
- Lipeng Ning (ORCID: https://orcid.org/0000-0003-4992-459X)
- Nikos Makris (ORCID: https://orcid.org/0000-0003-0425-3315)
- Edward H. Yeterian
- Jon Haitz Legarreta (ORCID: https://orcid.org/0000-0002-9661-1396)
- Yogesh Rathi (ORCID: https://orcid.org/0000-0002-9946-2314)
- Jarrett Rushmore
- Lauren J. O’Donnell (ORCID: https://orcid.org/0000-0003-0197-7801)
- Fan Zhang (ORCID: https://orcid.org/0000-0002-5032-6039)
- Qiang Liu (ORCID: https://orcid.org/0009-0007-6818-0115)
- Shiva Hassanzadeh‐Behbahani
- Mubai Du
- Yuqian Chen (ORCID: https://orcid.org/0009-0005-5613-2920)
Institutions
- Boston University (US)
- Brigham and Women's Hospital (US)
- Harvard University (US)
- University of Electronic Science and Technology of China (CN)
- Colby College (US)
Publication Details
- Journal
- Human Brain Mapping
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1002/hbm.70041
- Citations
- 5
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- National Natural Science Foundation of China
- National Institutes of Health
- McDonnell Center for Systems Neuroscience
- National Key Research and Development Program of China