Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
The extended version of the Harvard-Oxford atlas (Desikan et al., 2006) includes the Reinforcement Learning Atlas (Pauli et al., 2018) for extended coverage of subcortical nuclei and the AAL cerebellum ROIs (Tzourio-Mazoyer et al., 2002). The Reinforcement Learning Atlas was published by Julian Michael Tyszka, Wolfgang Pauli & Amanda Nili and can be downloaded from http://doi.org/10.17605/OSF.IO/JKZWP The NTS masks are adapted from Priovoulos et al. (2019) by enlarging them using FSL Maths with the dilation option and a 9 x 9 x 9 kernel box. The original mask published with the paper can be downloaded from https://github.com/npriov/NTS **References** Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., … Killiany, R. J. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage, 31(3), 968–980. Pauli, W. M., Nili, A. N. & Tyszka, J. M. (2018). A high-resolution probabilistic in vivo atlas of human subcortical brain nuclei. Sci. Data, 5:180063. DOI: http://doi.org/10.1038/sdata.2018.63 Priovoulos, N., Poser, B. A., Ivanov, D., Verhey, F. R., & Jacobs, H. I. (2019). In vivo imaging of the nucleus of the solitary tract with Magnetization Transfer at 7 Tesla. NeuroImage, 116071. Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., … Joliot, M. (2002). Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage, 15(1), 273–289.
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.