SUPPLEMENTAL DATA

Original Research ARTICLE

Front. Syst. Neurosci., 10 June 2010 | http://dx.doi.org/10.3389/fnsys.2010.00018

Identifying basal ganglia divisions in individuals using resting-state functional connectivity MRI

  • 1 Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
  • 2 Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
  • 3 Department of Psychology, Washington University School of Medicine, St. Louis, MO, USA
  • 4 Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO, USA
  • 5 Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA

Studies in non-human primates and humans reveal that discrete regions (henceforth, “divisions”) in the basal ganglia are intricately interconnected with regions in the cerebral cortex. However, divisions within basal ganglia nuclei (e.g., within the caudate) are difficult to identify using structural MRI. Resting-state functional connectivity MRI (rs-fcMRI) can be used to identify putative cerebral cortical functional areas in humans (Cohen et al., 2008). Here, we determine whether rs-fcMRI can be used to identify divisions in individual human adult basal ganglia. Putative basal ganglia divisions were generated by assigning basal ganglia voxels to groups based on the similarity of whole-brain functional connectivity correlation maps using modularity optimization, a network analysis tool. We assessed the validity of this approach by examining the spatial contiguity and location of putative divisions and whether divisions’ correlation maps were consistent with previously reported patterns of anatomical and functional connectivity. Spatially constrained divisions consistent with the dorsal caudate, ventral striatum, and dorsal caudal putamen could be identified in each subject. Further, correlation maps associated with putative divisions were consistent with their presumed connectivity. These findings suggest that, as in the cerebral cortex, subcortical divisions can be identified in individuals using rs-fcMRI. Developing and validating these methods should improve the study of brain structure and function, both typical and atypical, by allowing for more precise comparison across individuals.

Keywords: striatum, functional connectivity, graph theory, cortico-basal ganglia loops, connectome

Citation: Barnes KA, Cohen AL, Power JD, Nelson SM, Dosenbach YBL, Miezin FM, Petersen SE and Schlaggar BL (2010) Identifying basal ganglia divisions in individuals using resting-state functional connectivity MRI. Front. Syst. Neurosci. 4:18. doi: 10.3389/fnsys.2010.00018

Received: 19 February 2010; Paper pending published: 23 March 2010;
Accepted: 11 May 2010; Published online: 10 June 2010

Edited by:

Lucina Q. Uddin, Stanford University, USA

Reviewed by:

Adriana Di Martino, New York University Langone Medical Center, USA
Bogdan Draganski, University College London, UK

Copyright: © 2010 Barnes, Cohen, Power, Nelson, Dosenbach, Miezin, Petersen and Schlaggar. This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.

*Correspondence: Kelly Anne Barnes, Department of Neurology, Washington University School of Medicine, 4525 Scott Avenue, Room 2220, St. Louis, MO 63110, USA. e-mail: barnesk@npg.wustl.edu