There is an estimated 3 million women in the US living as breast cancer survivors and persistent cancer-related fatigue (PCRF) disrupts the lives of an estimatedĀ ...
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1. Kim, S.H., et al., Fatigue and depression in disease-free breast cancer survivors: prevalence, correlates, and association with quality of life. J Pain Symptom Manage, 2008. 35(6): p. 644-55. 2. Alexander, S., et al., A comparison of the characteristics of disease-free breast cancer survivors with or without cancer-related fatigue syndrome. Eur J Cancer, 2009. 45(3): p. 384-92. 3. Bower, J.E., Behavioral symptoms in patients with breast cancer and survivors. J Clin Oncol, 2008. 26(5): p. 768-77. 4. Bower, J.E., Prevalence and causes of fatigue after cancer treatment: the next generation of research. J Clin Oncol, 2005. 23(33): p. 8280-2. 5. Zick, S.M., et al., Preliminary diļ¬erences in peripheral immune markers and brain metabolites between fatigued and non-fatigued breast cancer survivors: a pilot study. Brain Imaging Behav, 2013. 6. Calhoun, V.D., T. Adali, and J.J. Pekar, A method for comparing group fMRI data using independent component analysis: application to visual, motor and visuomotor tasks. Magn Reson Imaging, 2004. 22(9): p. 1181-91. 7. Himberg, J., A. Hyvarinen, and F. Esposito, Validating the independent components of neuroimaging time series via clustering and visualization. Neuroimage, 2004. 22(3): p. 1214-22. 8. Lange, G., et al., Objective evidence of cognitive complaints in Chronic Fatigue Syndrome: a BOLD fMRI study of verbal working memory. Neuroimage, 2005. 26(2): p. 513-24. 9. Beckmann, C.F., et al., Investigations into resting-state connectivity using independent component analysis. Philos Trans R Soc Lond B Biol Sci, 2005. 360(1457): p. 1001-13. 10. Okada, T., et al., Mechanisms underlying fatigue: a voxel-based morphometric study of chronic fatigue syndrome. BMC Neurol, 2004. 4(1): p. 14.
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Significant differences in intrinsic default mode network (DMN) connectivity to the superior frontal gyrus (SFG) is seen among breast cancer survivors with persistent fatigue compared to those without fatigue. The DMN is a region involved in self-referential thinking associated with regions such as the posterior cingulate, precuneus, inferior parietal lobule (IPL) and medial prefrontal cortex; whereas SFG is a region previously shown to be involved in cognition and memory [8,10]. Therefore we speculate that the enhanced connectivity between the DMN and SFG may be related to the impaired cognition and poor sleep quality often seen in women with PCRF.
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2. ICA covariate of interest analysis: Subjective reports of mental fatigue associated with DMN to SFG connectivity among Fatigue versus Non-Fatgiue group: 82
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Participants: 23 age matched breast cancer survivors who completed all cancer related treatments at least 12 weeks prior to the study were recruited to undergo resting state fMRI imaging on a 3T Philips scanner. 15 participants reported persistent fatigue and 8 reported no fatigue. Image processing: Brain images were preprocessed using SPM8 software. Conn toolbar was used to study seed to whole brain connectivity differences between groups. Group ICA was done using GIFT toolbar [6] and the components were validated using ICASSO [7]. SPM8 group ANCOVA covariate of interest analysis was done using subjective mental fatigue scores from the multidimesional fatigue inventory (MFI) questionnaire to correlate with changes in RSN connectivity. All resulting brain maps were thresholded at P
