TY - JOUR
T1 - Cerebral functional connectivity and Mayer waves in mice
T2 - Phenomena and separability
AU - Bumstead, Jonathan R.
AU - Bauer, Adam Q.
AU - Wright, Patrick W.
AU - Culver, Joseph P.
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by the National Institutes of Health (R01NS078223 (JPC), R01NS090874 (JPC), P01NS080675 (JPC), R01NS084028 (JPC), and K25NS083754 (AQB)), the Bill & Melinda Gates Foundation (OPP1033518 (JPC)), and Washington University's Imaging Science Pathway (JRB and PWW).
Publisher Copyright:
© The Author(s) 2016.
PY - 2017
Y1 - 2017
N2 - Resting-state functional connectivity is a growing neuroimaging approach that analyses the spatiotemporal structure of spontaneous brain activity, often using low-frequency (<0.08 Hz) hemodynamics. In addition to these fluctuations, there are two other low-frequency hemodynamic oscillations in a nearby spectral region (0.1-0.4 Hz) that have been reported in the brain: vasomotion and Mayer waves. Despite how close in frequency these phenomena exist, there is little research on how vasomotion and Mayer waves are related to or affect resting-state functional connectivity. In this study, we analyze spontaneous hemodynamic fluctuations over the mouse cortex using optical intrinsic signal imaging. We found spontaneous occurrence of oscillatory hemodynamics ∼0.2 Hz consistent with the properties of Mayer waves reported in the literature. Across a group of mice (n = 19), there was a large variability in the magnitude of Mayer waves. However, regardless of the magnitude of Mayer waves, functional connectivity patterns could be recovered from hemodynamic signals when filtered to the lower frequency band, 0.01-0.08 Hz. Our results demonstrate that both Mayer waves and resting-state functional connectivity patterns can co-exist simultaneously, and that they can be separated by applying bandpass filters.
AB - Resting-state functional connectivity is a growing neuroimaging approach that analyses the spatiotemporal structure of spontaneous brain activity, often using low-frequency (<0.08 Hz) hemodynamics. In addition to these fluctuations, there are two other low-frequency hemodynamic oscillations in a nearby spectral region (0.1-0.4 Hz) that have been reported in the brain: vasomotion and Mayer waves. Despite how close in frequency these phenomena exist, there is little research on how vasomotion and Mayer waves are related to or affect resting-state functional connectivity. In this study, we analyze spontaneous hemodynamic fluctuations over the mouse cortex using optical intrinsic signal imaging. We found spontaneous occurrence of oscillatory hemodynamics ∼0.2 Hz consistent with the properties of Mayer waves reported in the literature. Across a group of mice (n = 19), there was a large variability in the magnitude of Mayer waves. However, regardless of the magnitude of Mayer waves, functional connectivity patterns could be recovered from hemodynamic signals when filtered to the lower frequency band, 0.01-0.08 Hz. Our results demonstrate that both Mayer waves and resting-state functional connectivity patterns can co-exist simultaneously, and that they can be separated by applying bandpass filters.
KW - Brain imaging
KW - cerebral hemodynamics
KW - cortical mapping
KW - intrinsic optical imaging
KW - neurovascular coupling
UR - http://www.scopus.com/inward/record.url?scp=85009936475&partnerID=8YFLogxK
U2 - 10.1177/0271678X16629977
DO - 10.1177/0271678X16629977
M3 - Article
C2 - 26868180
AN - SCOPUS:85009936475
VL - 37
SP - 471
EP - 484
JO - Journal of Cerebral Blood Flow and Metabolism
JF - Journal of Cerebral Blood Flow and Metabolism
SN - 0271-678X
IS - 2
ER -