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Edited by Marcus E. Raichle, Washington University in St. Louis, St. Louis, MO, and approved May 28, 2013 (received for review August 24, 2012)
Abstract
Breast cancer (BC) chemotherapy is associated with cognitive changes including persistent deficits in some individuals. We tested the accuracy of default mode network (DMN) resting state functional connectivity patterns in discriminating chemotherapy treated (C+) from non–chemotherapy (C−) treated BC survivors and healthy controls (HC). We also examined the relationship between DMN connectivity patterns and cognitive function. Multivariate pattern analysis was used to classify 30 C+, 27 C−, and 24 HC, which showed significant accuracy for discriminating C+ from C− (91.23%, P < 0.0001) and C+ from HC (90.74%, P < 0.0001). The C− group did not differ significantly from HC (47.06%, P = 0.60). Lower subjective memory function was correlated (P < 0.002) with greater hyperplane distance (distance from the linear decision function that optimally separates the groups). Disrupted DMN connectivity may help explain long-term cognitive difficulties following BC chemotherapy.
Footnotes
- ↵1To whom correspondence should be addressed. E-mail: skesler{at}stanford.edu.
Author contributions: S.R.K. and J.S.W. designed research; S.R.K., S.M.H.H., and C.L.W. performed research; S.R.K., S.M.H.H., M.C., and F.H. contributed new reagents/analytic tools; S.R.K. supervised and directed data analyses; S.M.H.H., M.C., and F.H. analyzed data; and S.R.K., J.S.W., S.M.H.H., M.C., C.L.W., and F.H. wrote the paper.
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1214551110/-/DCSupplemental.
Chemotherapy and default mode network
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