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. 2008 Jul;29(7):839-47.
doi: 10.1002/hbm.20537.

Persistent default-mode network connectivity during light sedation

Michael D Greicius  1 , Vesa Kiviniemi, Osmo Tervonen, Vilho Vainionpää, Seppo Alahuhta, Allan L Reiss, Vinod Menon
Affiliations

Persistent default-mode network connectivity during light sedation

Michael D Greicius et al. Hum Brain Mapp. 2008 Jul.

Abstract

The default-mode network (DMN) is a set of specific brain regions whose activity, predominant in the resting-state, is attenuated during cognitively demanding, externally-cued tasks. The cognitive correlates of this network have proven difficult to interrogate, but one hypothesis is that regions in the network process episodic memories and semantic knowledge integral to internally-generated mental activity. Here, we compare default-mode functional connectivity in the same group of subjects during rest and conscious sedation with midazolam, a state characterized by anterograde amnesia and a reduced level of consciousness. Although the DMN showed functional connectivity during both rest and conscious sedation, a direct comparison found that there was significantly reduced functional connectivity in the posterior cingulate cortex during conscious sedation. These results confirm that low-frequency oscillations in the DMN persist and remain highly correlated even at reduced levels of consciousness. We hypothesize that focal reductions in DMN connectivity, as shown here in the posterior cingulate cortex, may represent a stable correlate of reduced consciousness.

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Figures

Figure 1
Figure 1
Automated selection of the default‐mode component. Each subject's default‐mode component is selected from among their several independent components (shown here with only three components) based on the two‐step process outlined earlier. Each component consists of a spatial map (colored axial images) and its corresponding time series shown beneath it. The color scale indicates the degree to which a given voxel's time series is correlated with the overall time series of that component (with yellow–red colors indicating a positive correlation and blue colors indicating a negative correlation). First, because resting‐state neural networks are driven by low‐frequency oscillations, all high‐frequency components (component 1 in this example) are removed using a frequency filter. The remaining low‐frequency components are scored based on their spatial goodness‐of‐fit to a standard template of the DMN derived from a separate dataset (template not shown). The component with the highest goodness‐of‐fit score (component 3 here) is then entered into the group analyses. Note that all voxels of the selected component have z‐scores, not just those voxels that fall within the regions defined by the standard template. An identical technique is used to select the sensory‐motor network (component 2 in this example) except that the standard template is changed from the DMN to the sensory‐motor network.
Figure 2
Figure 2
Increased sensory‐motor network functional connectivity during conscious sedation. The sensory‐motor network is shown during rest (a) and during conscious sedation (b). A region in the mid‐cingulate showed increased functional connectivity in the conscious sedation versus rest contrast (c). There were no regions showing significantly greater functional connectivity in the rest versus conscious sedation contrast. Numbers below the images refer to coordinates of the Montreal Neurological Institute template. For axial images, the left side of the image corresponds to the right side of the brain (radiologic convention). T‐score bar for all three panels is shown in (c).
Figure 3
Figure 3
Reduced DMN functional connectivity during conscious sedation. The DMN is shown during rest (a) and during conscious sedation (b). A 111‐voxel cluster in the posterior cingulate cortex showed increased functional connectivity in the rest versus conscious sedation contrast (c). There were no regions showing significantly greater functional connectivity in the conscious sedation versus rest contrast. Other details per Figure 2.
Figure 4
Figure 4
Differential effects of sedation on connectivity in the sensory‐motor and DMNs. The graph on the left shows the mean and standard deviation of the individual z‐scores within the mid‐cingulate cluster of the sensory‐motor network that showed significantly increased connectivity in the sedated state (see Fig. 2c). The graph on the right shows the mean and standard deviation of the individual z‐scores within the posterior cingulate cluster of the DMN that showed significantly decreased connectivity in the sedated state (see Fig. 3c).
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