Miriam Schwalm1, Felipe Aedo-Jury1, Florian Schmid2, Lydia Wachsmuth2, Andrea Kronfeld1, Hendrik Backhaus1, Cornelius Faber2, and Albrecht Stroh1
1Institute for Microscopic Anatomy and Neurobiology, Johannes Gutenberg-University Mainz, Mainz, Germany, 2Department of Clinical Radiology, University of Münster, Nordrhein-Westfalen, Germany
Synopsis
Preclinical functional Magnetic Resonance
Imaging in rodents has become a vital research tool for observing functional
network connectivity at rest or during sensory stimulation. There is an ongoing
debate about the differential effects of anesthesia on cortical connectivity,
since functional connectivity networks fluctuate depending on global brain
state. We analyzed the spontaneous and sensory evoked BOLD signal in rats during
different network states induced by Isoflurane and Medetomidine anesthesia, finding
them to lead to fundamentally different cortical connectivity. These results
are crucial for interpreting rodent studies in the framework of translational
resting state research including awake human data.
PURPOSE
Preclinical functional Magnetic Resonance
Imaging (fMRI) in rodents has become a vital research tool for observing
functional network connectivity at rest or during sensory stimulation in health
and disease. In humans, resting state
studies are performed in awake individuals. In contrast, in animals most of
these studies are carried out under anesthesia, which can dramatically modify
global cortical connectivity[1]. Default thalamocortical network activity
underlying the BOLD signal can be altered by anesthesia and determines BOLD
activity at rest as well as during responses to sensory stimulation[2]. Neurophysiological
studies employing cellular readouts show that such network activity - reflected
by default firing modes as well as response properties upon sensory stimulation
of local neural networks - are dramatically altered by behavioral state[3], sleep or
wakefulness[4], as well as
anesthetic regimen[5-7]. Consequently, there
is still a debate on differential effects of anesthesia on cortical
connectivity during resting state or sensory stimulation, since functional
connectivity networks are fluctuating depending on brain states. Optic-fiber
based calcium recordings reflect reflect suprathreshold neuronal activity (spiking) on
population level and allow the monitoring of neuronal firing modes of a local
neuronal population. Here, by comparing BOLD functional connectivity and
optic-fiber based calcium recordings, we demonstrate that different brain
states are being evoked by the two distinct anesthetic regimens, which govern
functional connectivity at rest and during sensory stimulation.METHODS
For optic-fiber
based calcium recordings, anesthetized rats were placed in a stereotactic frame
and a craniotomy was conducted at the level of primary somatosensory cortex, Oregon
Green 488 BAPTA-1 AM (OGB-1) was injected and an optical fiber was implanted. A
custom-made optical laser setup was used to excite the calcium dye and to
record changes in fluorescence. For electric stimulation, two needle electrodes
were inserted into the forepaw. Functional MRI was performed in a 9.4 T Biospec
(Bruker). BOLD and ICA analysis were performed with SPM8. For the sensory
stimulation condition we used the activated somatosensory cortex as seed to
analyze correlations of the BOLD signal of this region with others previously
defined. Functional connectivity analysis was performed with a Matlab script
using 96 atlas-based cortical regions of the rat brain[8] during spontaneous activity
as well as during sensory stimulation.RESULTS
Employing optic-fiber calcium recordings
alongside fMRI measurements in rats, we showed rhythmic slow calcium waves present
in the cortex and thalamus under isoflurane anesthesia (1.3-1.8%) (Figure 1 A,
B). Using onsets and durations of these events as regressor, an event-related
fMRI analysis revealed pancortical BOLD activation, speaking for synchronous
cortical activity related to slow calcium waves (Figure 1 C). In contrast, in a
rather sedative state induced by Medetomidine, the defined on- and off-periods
of neuronal firing as in slow wave state are absent (Figure 1, D). Sensory
responses are fundamentally different from the ones during slow wave network
activity, as revealed by calcium recordings in the two states (Figure 1 D). Independent
Component (ICA) and correlation analysis also reveal a pancortical spread of BOLD
activation during slow wave activity (Figure 1 E). For Medetomidine sedation
ICA and correlation analysis do not show a defined widespread BOLD activation
but a rather patterned signal when analyzing activity unspecific for sensory
stimulation (Figure 1 F) and a defined, region-specific activity when using the
somatosensory cortex as a seed region (Figure 1 G).DISCUSSION
As local
cortical calcium recordings in these states reflect profoundly different firing
modes, we hypothesized that they may be linked to different cortical functional
connectivity states, reflecting different global brain states. These results
give inside about the actual underlying cellular activity which the BOLD signal
alone cannot reveal, and could explain variations of sensory-evoked BOLD
responses under different anesthetics leading to different brain states. CONCLUSION
Here, we unambiguously classified brain states by
using a secondary readout such as calcium recordings, ideally in parallel to
fMRI scans. The different types of network activation revealed in this study
strongly suggest, that the effect of brain states should be taken into account upon
interpreting anesthesia based rodent studies in the framework of translational
resting state research including awake human data.Acknowledgements
No acknowledgement found.References
1. Liu, X., et al., The change of functional connectivity
specificity in rats under various anesthesia levels and its neural origin.
Brain Topogr, 2013. 26(3): p.
363-77.
2. Tu, Y., et al., Altered thalamocortical functional
connectivity by propofol anesthesia in rats. Pharmacology, 2011. 88(5-6): p. 322-6.
3. McGinley, M.J.,
et al., Waking State: Rapid Variations
Modulate Neural and Behavioral Responses. Neuron, 2015. 87(6): p. 1143-61.
4. Steriade, M., et
al., The slow (< 1 Hz) oscillation in
reticular thalamic and thalamocortical neurons: scenario of sleep rhythm
generation in interacting thalamic and neocortical networks. J Neurosci,
1993. 13(8): p. 3284-99.
5. Constantinople,
C.M. and R.M. Bruno, Effects and
mechanisms of wakefulness on local cortical networks. Neuron, 2011. 69(6): p. 1061-8.
6. Schmid, M.C. and
A. Maier, To see or not to
see--thalamo-cortical networks during blindsight and perceptual suppression.
Prog Neurobiol, 2015. 126: p. 36-48.
7. Stroh, A., et
al., Making waves: initiation and
propagation of corticothalamic Ca2+ waves in vivo. Neuron, 2013. 77(6): p. 1136-50.
8. Valdes-Hernandez,
P.A., et al., An in vivo MRI Template Set
for Morphometry, Tissue Segmentation, and fMRI Localization in Rats. Front
Neuroinform, 2011. 5:p. 26.