Main content
MICA-PNI: Precision NeuroImaging and Connectomics
- Donna Gift Cabalo
- Raul Rodriguez-Cruces
- Boris C. Bernhardt
- Jordan DeKraker
- Jessica Royer
- Ilana Leppert
- Risa Thevakumaran
- Youngeun Hwang
- Valeria Kebets
- Shahin Tavakol
- Yezhou Wang
- Yigu Zhou
- Oualid Benkarim
- Nicole Eichert
- Casey Paquola
- Christine Lucas Tardif
- David Rudko
- Jonathan Smallwood
Date created: | Last Updated:
: DOI | ARK
Creating DOI. Please wait...
Category: Data
Description: The MICA-PNI dataset provides raw and anonymized multimodal precision neuroimaging data acquired at ultra-high field strength of 7Tesla, from 10 healthy individual participants. In this release, the dataset include MP2RAGE-derived uni, T1 map, DWI, MT on/off, T2*-weighted imaging and multi-echo resting state, multi-task-based and movie fMRI scans, acquired across three sessions. Please cite: Cabalo, D. G. et al. Multimodal Precision Neuroimaging of the Individual Human Brain at Ultra-high fields. bioRxiv, 2024.2006.2017.596303 (2024). https://doi.org/10.1101/2024.06.17.596303
Add important information, links, or images here to describe your project.