Dr. Altshuler has received past funding from Sepracor (advisory board honraria, January 2010) and Eli Lilly (consultant, September 2010); and no past but potential future honoraria from Astra-Zeneca (speakers bureau), Merck and Co. (consulting) and Takeda Pharmaceuticals and Lundeck (advisory board).
Investigating brain community structure abnormalities in bipolar disorder using path length associated community estimation
Version of Record online: 25 JUN 2013
Copyright © 2013 Wiley Periodicals, Inc.
Human Brain Mapping
Volume 35, Issue 5, pages 2253–2264, May 2014
How to Cite
GadElkarim, J. J., Ajilore, O., Schonfeld, D., Zhan, L., Thompson, P. M., Feusner, J. D., Kumar, A., Altshuler, L. L. and Leow, A. D. (2014), Investigating brain community structure abnormalities in bipolar disorder using path length associated community estimation. Hum. Brain Mapp., 35: 2253–2264. doi: 10.1002/hbm.22324
- Issue online: 10 APR 2014
- Version of Record online: 25 JUN 2013
- Manuscript Accepted: 18 APR 2013
- Manuscript Revised: 11 MAR 2013
- Manuscript Received: 12 DEC 2012
- NARSAD young investigator grant (to A.D.L.)
- NIMH. Grant Number: R21 MH086104 (L.L.A.)
- community structure;
- bipolar disorder;
- hierarchical trees
In this article, we present path length associated community estimation (PLACE), a comprehensive framework for studying node-level community structure. Instead of the well-known Q modularity metric, PLACE utilizes a novel metric, ΨPL, which measures the difference between intercommunity versus intracommunity path lengths. We compared community structures in human healthy brain networks generated using these two metrics and argued that ΨPL may have theoretical advantages. PLACE consists of the following: (1) extracting community structure using top-down hierarchical binary trees, where a branch at each bifurcation denotes a collection of nodes that form a community at that level, (2) constructing and assessing mean group community structure, and (3) detecting node-level changes in community between groups. We applied PLACE and investigated the structural brain networks obtained from a sample of 25 euthymic bipolar I subjects versus 25 gender- and age-matched healthy controls. Results showed community structural differences in posterior default mode network regions, with the bipolar group exhibiting left-right decoupling. Hum Brain Mapp 35:2253–2264, 2014. © 2013 Wiley Periodicals, Inc.