Bridging Huntington’s disease research with big data science: Harmonized neuroimaging datasets from multiple studies
Dorian Pustina, Sandhitsu Das, Dan Rozelle, Hans J Johnson, Rachael I Scahill, Sarah J Tabrizi, Nellie Georgiou-Karistianis, Cristina Sampaio, Andrew Wood · 2024
Read Bridging Huntington’s disease research with big data science: Harmonized neuroimaging datasets from multiple studies by Dorian Pustina, Sandhitsu Das, Dan Rozelle, Hans J Johnson, Rachael I Scahill, Sarah J Tabrizi, Nellie Georgiou-Karistianis, Cristina Sampaio, Andrew Wood (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12315745.txt.
Description
Dorian Pustina and co-authors build, in a 2024 paper, a shared platform that cleans and aligns brain scan data from eight Huntington's disease studies. The scans existed in mixed formats, often missing key details, and sometimes corrupt, which blocked large-scale analysis. Huntington's is a rare inherited brain disease, so pooling studies is the only route to big samples.
The team converted the raw scans into a standard structure and ran them through common processing pipelines. Studies that had followed the same people were merged. The result is six tidy data sets covering 2,216 participants and 7,073 scanning sessions. The paper also lays out tools and rules for handling such data well. The authors aim to open Huntington's imaging to the methods of big data science.
Catalog record
| CREATOR | Dorian Pustina, Sandhitsu Das, Dan Rozelle, Hans J Johnson, Rachael I Scahill, Sarah J Tabrizi, Nellie Georgiou-Karistianis, Cristina Sampaio, Andrew Wood |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 48 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |