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Complexity of low-frequency blood oxygen level-dependent fluctuations covaries with local connectivity
Article first published online: 18 FEB 2013
Copyright © 2013 Wiley Periodicals, Inc.
Human Brain Mapping
Volume 35, Issue 4, pages 1273–1283, April 2014
How to Cite
Anderson, J. S., Zielinski, B. A., Nielsen, J. A. and Ferguson, M. A. (2014), Complexity of low-frequency blood oxygen level-dependent fluctuations covaries with local connectivity. Hum. Brain Mapp., 35: 1273–1283. doi: 10.1002/hbm.22251
- Issue published online: 20 MAR 2014
- Article first published online: 18 FEB 2013
- Manuscript Accepted: 30 NOV 2012
- Manuscript Revised: 1 NOV 2012
- Manuscript Received: 1 MAR 2012
- National Institute of Health. Grant Numbers: K08MH092697, T32DC008553
- Ben B. and Iris M. Margolis Foundation
- Primary Children's Foundation Early Career Development Award
- brain development;
- resting state fMRI;
- chaos theory;
- power law;
- avalanche dynamics;
- regional homogeneity;
- long memory
Very low-frequency blood oxygen level-dependent (BOLD) fluctuations have emerged as a valuable tool for describing brain anatomy, neuropathology, and development. Such fluctuations exhibit power law frequency dynamics, with largest amplitude at lowest frequencies. The biophysical mechanisms generating such fluctuations are poorly understood. Using publicly available data from 1,019 subjects of age 7–30, we show that BOLD fluctuations exhibit temporal complexity that is linearly related to local connectivity (regional homogeneity), consistently and significantly covarying across subjects and across gray matter regions. This relationship persisted independently of covariance with gray matter density or standard deviation of BOLD signal. During late neurodevelopment, BOLD fluctuations were unchanged with age in association cortex while becoming more random throughout the rest of the brain. These data suggest that local interconnectivity may play a key role in establishing the complexity of low-frequency BOLD fluctuations underlying functional magnetic resonance imaging connectivity. Stable low-frequency power dynamics may emerge through segmentation and integration of connectivity during development of distributed large-scale brain networks. Hum Brain Mapp 35:1273–1283, 2014. © 2013 Wiley Periodicals, Inc.