Article title: Resting State Networks Distinguish Human Ventral Tegmental Area from Substantia Nigra Reference: YNIMG11471 Journal title: NeuroImage Corresponding author: Dr. R. Alison Adcock First author: Dr. Vishnu P. Murty Accepted manuscript (unedited version) available online: 27-JUN-2014 DOI information: 10.1016/j.neuroimage.2014.06.047 For access to the atlases, please contact email@example.com to receive a username and password.
real-time fMRI Analysis Software
Pyneal Note: These tools were designed to work with the GE MRI scanning environment at Duke University. Different environments at different institutions may require aspects of the code to be modified, particularly the steps related to accessing dicom images and sending to the real-time analysis machine. Support for software development provided by:
NIMH R01 MH094743 Alfred P. Sloan Fellowship Klingenstein Fellowship Award in the Neurosciences Dana Foundation Brain and Immune-Imaging Program to R. Alison Adcock, MD, PhD