There is no single functional atlas even for a single individual: Functional parcel definitions change with task
Mehraveh Salehi,
Abigail S. Greene,
Amin Karbasi,
Xilin Shen,
Dustin Scheinost,
R. Todd Constable
Affiliations
Mehraveh Salehi
Department of Electrical Engineering, Yale University, United States; Yale Institute for Network Science (YINS), Yale University, United States; Corresponding author. Department of Electrical Engineering, Yale University, Yale Magnetic Resonance Research Center (MRRC), The Anlyan Center, 300 Cedar Street, New Haven, CT, 06520, United States.
Abigail S. Greene
Interdepartmental Neuroscience Program, Yale School of Medicine, United States
Amin Karbasi
Department of Electrical Engineering, Yale University, United States; Yale Institute for Network Science (YINS), Yale University, United States
Xilin Shen
Department of Radiology and Biomedical Imaging, Yale School of Medicine, United States
Dustin Scheinost
Department of Radiology and Biomedical Imaging, Yale School of Medicine, United States
R. Todd Constable
Interdepartmental Neuroscience Program, Yale School of Medicine, United States; Department of Radiology and Biomedical Imaging, Yale School of Medicine, United States; Department of Neurosurgery, Yale School of Medicine, United States
The goal of human brain mapping has long been to delineate the functional subunits in the brain and elucidate the functional role of each of these brain regions. Recent work has focused on whole-brain parcellation of functional Magnetic Resonance Imaging (fMRI) data to identify these subunits and create a functional atlas. Functional connectivity approaches to understand the brain at the network level require such an atlas to assess connections between parcels and extract network properties. While no single functional atlas has emerged as the dominant atlas to date, there remains an underlying assumption that such an atlas exists. Using fMRI data from a highly sampled subject as well as two independent replication data sets, we demonstrate that functional parcellations based on fMRI connectivity data reconfigure substantially and in a meaningful manner, according to brain state.