Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 67,038 bioRxiv papers from 295,087 authors.
7 Tesla MRI of the ex vivo human brain at 100 micron resolution
Brian L Edlow,
Jonathan R. Polimeni,
M. Dylan Tisdall,
Jason P. Stockmann,
Bram R Diamond,
Lee S. Tirrell,
Rebecca D Folkerth,
Lawrence L Wald,
Andre van der Kouwe
Posted 31 May 2019
bioRxiv DOI: 10.1101/649822 (published DOI: 10.1038/s41597-019-0254-8)
Posted 31 May 2019
We present an ultra-high resolution magnetic resonance imaging (MRI) dataset of an ex vivo human brain specimen. The brain specimen was donated by a 58-year-old woman who had no history of neurological disease and died of non-neurological causes. After fixation in 10% formalin, the specimen was imaged on a 7 Tesla MRI scanner at 100 micron isotropic resolution using a custom-built 31-channel receive array coil. Single-echo multi-flip Fast Low-Angle SHot (FLASH) data were acquired over 100 hours of scan time (25 hours per flip angle), allowing derivation of a T1 parameter map and synthesized FLASH volumes. This dataset provides an unprecedented view of the three-dimensional neuroanatomy of the human brain. To optimize the utility of this resource, we warped the dataset into standard stereotactic space. We now distribute the dataset in both native space and stereotactic space to the academic community via multiple platforms. We envision that this dataset will have a broad range of investigational, educational, and clinical applications that will advance understanding of human brain anatomy in health and disease.
- Downloaded 7,213 times
- Download rankings, all-time:
- Site-wide: 224 out of 67,039
- In neuroscience: 37 out of 12,017
- Year to date:
- Site-wide: 53 out of 67,039
- Since beginning of last month:
- Site-wide: 383 out of 67,039
Downloads over time
Distribution of downloads per paper, site-wide
- Top preprints of 2018
- Paper search
- Author leaderboards
- Overall metrics
- The API
- Email newsletter
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!