Visualizing mammalian brain area interactions by dual-axis two-photon calcium imaging

Abstract

Fluorescence Ca2+ imaging enables large-scale recordings of neural activity, but collective dynamics across mammalian brain regions are generally inaccessible within single fields of view. Here we introduce a two-photon microscope possessing two articulated arms that can simultaneously image two brain areas (0.38 mm2 each), either nearby or distal, using microendoscopes. Concurrent Ca2+ imaging of 100–300 neurons in primary visual cortex (V1) and lateromedial (LM) visual area in behaving mice revealed that the variability in LM neurons' visual responses was strongly dependent on that in V1, suggesting that fluctuations in sensory responses propagate through extended cortical networks.

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Figure 1: A two-photon microscope with microendoscopes and two optical axes for imaging two brain areas in awake behaving mice.
Figure 2: The dual-axis microscope permits imaging of either distal or nearby brain regions.
Figure 3: Ca2+ imaging in awake behaving mice reveals that neurons in visual areas V1 and LM exhibit supralinear inter-area correlations.

References

  1. 1

    Dombeck, D.A., Khabbaz, A.N., Collman, F., Adelman, T.L. & Tank, D.W. Imaging large-scale neural activity with cellular resolution in awake, mobile mice. Neuron 56, 43–57 (2007).

    CAS  Article  Google Scholar 

  2. 2

    Nimmerjahn, A., Mukamel, E.A. & Schnitzer, M.J. Motor behavior activates Bergmann glial networks. Neuron 62, 400–412 (2009).

    CAS  Article  Google Scholar 

  3. 3

    Glickfeld, L.L., Andermann, M.L., Bonin, V. & Reid, R.C. Cortico-cortical projections in mouse visual cortex are functionally target specific. Nat. Neurosci. 16, 219–226 (2013).

    CAS  Article  Google Scholar 

  4. 4

    Ghosh, K.K. et al. Miniaturized integration of a fluorescence microscope. Nat. Methods 8, 871–878 (2011).

    CAS  Article  Google Scholar 

  5. 5

    Ziv, Y. et al. Long-term dynamics of CA1 hippocampal place codes. Nat. Neurosci. 16, 264–266 (2013).

    CAS  Article  Google Scholar 

  6. 6

    Barretto, R.P. et al. Time-lapse imaging of disease progression in deep brain areas using fluorescence microendoscopy. Nat. Med. 17, 223–228 (2011).

    CAS  Article  Google Scholar 

  7. 7

    Jung, J.C., Mehta, A.D., Aksay, E., Stepnoski, R. & Schnitzer, M.J. In vivo mammalian brain imaging using one- and two-photon fluorescence microendoscopy. J. Neurophysiol. 92, 3121–3133 (2004).

    Article  Google Scholar 

  8. 8

    Jung, J.C. & Schnitzer, M.J. Multiphoton endoscopy. Opt. Lett. 28, 902–904 (2003).

    Article  Google Scholar 

  9. 9

    Flusberg, B.A., Jung, J.C., Cocker, E.D., Anderson, E.P. & Schnitzer, M.J. In vivo brain imaging using a portabler3. r3.9 gram two-photon fluorescence microendoscope. Opt. Lett. 30, 2272–2274 (2005).

    Article  Google Scholar 

  10. 10

    Shaner, N.C. et al. Improved monomeric red, orange and yellow fluorescent proteins derived from Discosoma sp. red fluorescent protein. Nat. Biotechnol. 22, 1567–1572 (2004).

    CAS  Article  Google Scholar 

  11. 11

    Wang, Q., Sporns, O. & Burkhalter, A. Network analysis of corticocortical connections reveals ventral and dorsal processing streams in mouse visual cortex. J. Neurosci. 32, 4386–4399 (2012).

    CAS  Article  Google Scholar 

  12. 12

    Andermann, M.L., Kerlin, A.M., Roumis, D.K., Glickfeld, L.L. & Reid, R.C. Functional specialization of mouse higher visual cortical areas. Neuron 72, 1025–1039 (2011).

    CAS  Article  Google Scholar 

  13. 13

    Marshel, J.H., Garrett, M.E., Nauhaus, I. & Callaway, E.M. Functional specialization of seven mouse visual cortical areas. Neuron 72, 1040–1054 (2011).

    CAS  Article  Google Scholar 

  14. 14

    Chen, T.W. et al. Ultrasensitive fluorescent proteins for imaging neuronal activity. Nature 499, 295–300 (2013).

    CAS  Article  Google Scholar 

  15. 15

    Mukamel, E.A., Nimmerjahn, A. & Schnitzer, M.J. Automated analysis of cellular signals from large-scale calcium imaging data. Neuron 63, 747–760 (2009).

    CAS  Article  Google Scholar 

  16. 16

    Niell, C.M. & Stryker, M.P. Modulation of visual responses by behavioral state in mouse visual cortex. Neuron 65, 472–479 (2010).

    CAS  Article  Google Scholar 

  17. 17

    Keller, G.B., Bonhoeffer, T. & Hubener, M. Sensorimotor mismatch signals in primary visual cortex of the behaving mouse. Neuron 74, 809–815 (2012).

    CAS  Article  Google Scholar 

  18. 18

    Waters, J., Larkum, M., Sakmann, B. & Helmchen, F. Supralinear Ca2+ influx into dendritic tufts of layer 2/3 neocortical pyramidal neurons in vitro and in vivo. J. Neurosci. 23, 8558–8567 (2003).

    CAS  Article  Google Scholar 

  19. 19

    Polsky, A., Mel, B.W. & Schiller, J. Computational subunits in thin dendrites of pyramidal cells. Nat. Neurosci. 7, 621–627 (2004).

    CAS  Article  Google Scholar 

  20. 20

    Piyawattanametha, W. et al. In vivo brain imaging using a portabler2. r2.9-g two-photon microscope based on a microelectromechanical systems scanning mirror. Opt. Lett. 34, 2309–2311 (2009).

    Article  Google Scholar 

  21. 21

    Helmchen, F., Denk, W. & Kerr, J.N. Miniaturization of two-photon microscopy for imaging in freely moving animals. Cold Spring Harb. Prot. 2013, 904–913 (2013).

    Google Scholar 

  22. 22

    Sawinski, J. et al. Visually evoked activity in cortical cells imaged in freely moving animals. Proc. Natl. Acad. Sci. USA 106, 19557–19562 (2009).

    CAS  Article  Google Scholar 

  23. 23

    Dombeck, D.A., Harvey, C.D., Tian, L., Looger, L.L. & Tank, D.W. Functional imaging of hippocampal place cells at cellular resolution during virtual navigation. Nat. Neurosci. 13, 1433–1440 (2010).

    CAS  Article  Google Scholar 

  24. 24

    Madisen, L. et al. A robust and high-throughput Cre reporting and characterization system for the whole mouse brain. Nat. Neurosci. 13, 133–140 (2010).

    CAS  PubMed  PubMed Central  Google Scholar 

  25. 25

    Hippenmeyer, S. et al. A developmental switch in the response of DRG neurons to ETS transcription factor signaling. PLoS Biol. 3, e159 (2005).

    Article  Google Scholar 

  26. 26

    Pologruto, T.A., Sabatini, B.L. & Svoboda, K. ScanImage: flexible software for operating laser scanning microscopes. Biomed. Eng. Online 2, 13 (2003).

    Article  Google Scholar 

  27. 27

    Andermann, M.L., Kerlin, A.M. & Reid, R.C. Chronic cellular imaging of mouse visual cortex during operant behavior and passive viewing. Front. Cell. Neurosci. 4, 3 10.3389/fncel.2010.00003 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  28. 28

    Naarendorp, F. et al. Dark light, rod saturation, and the absolute and incremental sensitivity of mouse cone vision. J. Neurosci. 30, 12495–12507 (2010).

    CAS  Article  Google Scholar 

  29. 29

    Thevenaz, P., Ruttimann, U.E. & Unser, M. A pyramid approach to subpixel registration based on intensity. IEEE Trans. Image Process. 7, 27–41 (1998).

    CAS  Article  Google Scholar 

  30. 30

    Vogelstein, J.T. et al. Fast nonnegative deconvolution for spike train inference from population calcium imaging. J. Neurophysiol. 104, 3691–3704 (2010).

    Article  Google Scholar 

  31. 31

    Hyvärinen, A. Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans. Neural Netw. 10, 626–634 (1999).

    Article  Google Scholar 

Download references

Acknowledgements

We thank K. Merkle for machining the various custom parts of the microscope, S. Sinha for help with coating miniature mirrors, and J. Li for help with histology and mouse husbandry and genotyping. We appreciate support from a Stanford Vision Translation Postdoctoral Fellowship (J.L.), a Swiss National Postdoctoral Fellowship (B.F.G.), graduate research fellowships from the US National Science Foundation, Stanford University and the Simons Foundation (L.J.K.) and research funding from a US National Institutes of Health (NIH) EUREKA grant (M.J.S.) and the NIH NDC for the Optical Control of Biological Function (J.L. and M.J.S.).

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Authors

Contributions

J.L., D.V. and M.J.S. initiated the project. J.L., J.S., D.V. and M.J.S. designed the microscope. J.L., B.F.G. and H.K. performed experiments. J.Z.L. prepared and titrated viral vectors. J.L. and L.J.K. performed analysis. J.L. and M.J.S. wrote the manuscript. All authors reviewed the manuscript. M.J.S. supervised the project.

Corresponding authors

Correspondence to Jérôme Lecoq or Mark J Schnitzer.

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The authors declare no competing financial interests.

Integrated supplementary information

Supplementary Figure 1 Comprehensive opto-mechanical design of the dual-axis microscope.

(a) The complete microscope is shown to scale. The laser beam is depicted in light red. (b) A close-up view of the front of the microscope showing the opto-mechanical components of the articulated imaging arms. (c) A close-up view of the top arm (without the miniature mirror) showing the two rotational actuators and three translational actuators embedded in the distal part of the arm. (d) Each microscope objective lens (0.35 NA) is optically coupled to an individual microendoscope. The microendoscope is a doublet combining a GRIN relay lens and a GRIN micro-objective lens.

Supplementary Figure 2 Simultaneously acquired images of hippocampal area CA1 and the frontal association area (FrA) in an anesthetized mouse expressing the red fluorophore tdTomato in parvalbumin interneurons.

Scale bar is 100 μm and applies to both panels.

Supplementary Figure 3 Computational studies show that an axial resolution of 10 μm leads to minuscule crosstalk from out-of-focal plane cell bodies in neurons’ digitized records of Ca2+ dynamics.

(a) Using pairs of actual two-photon fluorescence traces of Ca2+ activity (traces in top two rows), we calculated levels of cross talk between pairs of layer 2/3 mouse visual cortical neurons hypothetically positioned at different axial separations. Both cells in each pair had identical lateral coordinates. An example cell pair and traces for three example axial separations (12 μm, 14 μm and 20 μm) between the two cells’ centroids are shown (traces in bottom three rows). However, overall we calculated cross talk levels for a total of 132 cell pairs, whose axial separations were varied over a range of hypothetical distance values. From actual two-photon image stacks, we determined that mouse visual cortical neurons have cell body diameters of 12.09 ±0.05 μm (mean ± s.e.m.; N = 339 layer 2/3 pyramidal cells), in close agreement with prior measurements in this cell type24. We thus modeled each cell as a 12-μm-diameter homogeneous sphere, and used the three-dimensional optical resolution measurements from the poorer-performing arm of the dual-axis microscope to estimate the expected cross talk between pairs of cells at various axial separations. After applying the event detection algorithm25 (red asterisks mark detected Ca2+ transients), very few instances of fluorescence cross talk ever reached the digitized event traces (black vertical arrows), which were the traces used for all computations of neuronal coding properties. (b) Computed percentage of false positive events due to cross talk, as a function of the axial separation between the two cells in a pair. Error bars indicate s.e.m. values, computed over 132 cell pairs per data point. (c) Empirically determined, cumulative distribution of the axial separations between layer 2/3 visual cortical pyramidal cells and their closest neighbors in the axial dimension. By using two-photon microscopy in live mice, we measured the anatomic coordinates of 339 pyramidal neurons in layer 2/3 of mouse visual cortex. For each neuron, we identified its closest neighbor in the axial dimension that could plausibly be a source of cross talk, given the 1.0 μm lateral resolution of the dual-axis microscope. We identified this closest axial neighbor as the nearest cell whose lateral (x,y) centroid coordinates were <3 μm away from the lateral centroid of the first cell. (d) Using the empirically determined distribution of axial separations between cell pairs (panel c) and the computed level of cross talk as function of axial separation (panel b), we computed the statistical distribution of expected cross talk levels across all 339 cells examined. Overall, >97% of neuronal cell bodies had 0% cross talk in the digitized rasters of action potentials detected in the ΔF/F traces, and 98.5% of neurons had <5% false positive spikes due to cross talk.

Supplementary Figure 4 Experimental assessment of crosstalk from out-of-focal plane neural elements revealed no statistically significant crosstalk in neurons’ digitized records of Ca2+ dynamics.

To directly assess cross talk levels from out-of-focal plane neural elements (somata, dendrites or axons) in behaving mice, we acquired Ca2+ activity traces from layer 2/3 visual cortical pyramidal cells at two different optical resolutions simultaneously. To do this, we built a two-photon imaging system in which an electro-optical modulator (EOM) toggled the laser beam between two different optical paths that provided different optical resolutions. (a). Schematic of the optical apparatus. We polarized the beam from an infrared ultrashort-pulsed Ti:Sapphire laser by using a polarizing beam splitter (PBSC). A rotatable half-wave plate (λ/2) provided a means of power control; a beam block (BB) absorbed the unused power. We electronically controlled the EOM such that on every successive image frame (10 Hz frame rate) the beam alternated between the two optical pathways. In pathway 1, the laser beam was magnified so as to provide higher optical resolution (FWHM axial resolution: 4.0 ± 0.1 μm) in the specimen plane. In pathway 2, the beam was de-magnified so as to provide a lower resolution (FWHM axial resolution: 10.4 ± 0.4 μm) that conservatively matched the 9.8 ± 0.2 μm axial resolution of the dual-axis microscope’s poorer-performing arm. The two beam pathways were re-combined within another polarizing beam splitter (PBSC) and co-aligned as they entered the back aperture of a 0.95 NA microscope objective. This arrangement allowed two temporally interleaved time-traces of Ca2+ activity to be acquired from the very same neurons using a single photomultiplier tube (PMT) to detect fluorescence. Inset: Successive image frames acquired in a live mouse using the higher- and lower-resolution beam pathways. (b) Temporally interleaved Ca2+ activity traces acquired at the two different resolutions, from two example cell bodies (top two traces) and two example dendritic processes (bottom two traces). The fluorescence traces acquired at the higher- and lower-resolutions appear almost identical. There is no discernible evidence of any neural sources that are present in the lower-resolution traces but absent in the higher-resolution traces. (c) Statistical comparisons between even-numbered and odd-numbered frames in a Ca2+ imaging video taken exclusively at the higher resolution (i.e. with the EOM directing the beam only to pathway 1) yielded baseline estimates (cyan data) of the statistical uncertainties in the event detection process for both neural cell bodies and dendrites. In this baseline control data, the sets of detected Ca2+ events that we extracted from the even- and odd-numbered image frames differed by 8.6 ± 1.9% (mean ± s.e.m.) of all Ca2+ events occurring in cell bodies (N = 19 cell bodies) and by 12.7 ± 3.0% in dendrites (N = 23 dendrites). When we toggled successive image frames between the higher-resolution and lower-resolution beam pathways, the percentage differences between the sets of detected Ca2+ events in the two data streams (red data) were 6.1 ± 1.7% for cells bodies and 15.7 ± 4.3% for dendrites (N = 20 cell bodies and N = 14 dendrites). These percentages of discrepant events between the higher- and lower-resolution data streams were statistically indistinguishable from those when comparing even- and odd-numbered frames of the baseline datasets acquired using only the higher resolution pathway (Wilcoxon rank-sum test; somas: P = 0.21; dendrites: P = 0.46; N = 20 cell bodies and N = 14 dendrites). Given that the neurons’ measured cell body diameter was 12.09 ± 0.05 μm (mean ± s.e.m; N = 339 layer 2/3 pyramidal cells), it is extremely unlikely that any further improvements in axial resolution to values finer than 4 μm would significantly change these assessments of cross talk.

Supplementary Figure 5 Many dendritic processes yielded their own distinct activity patterns as recorded using the dual-axis microscope in awake behaving mice.

(a) Grayscale images are time-averages over 5 min of movie data, acquired by simultaneous Ca2+-imaging of visual areas V1 and LM in a head-restrained mouse at liberty to walk or run on a trackball. (b) Neuronal cell processes that displayed Ca2+ activity, as extracted computationally by an established approach to sorting cellular Ca2+ signals15, are depicted in color. Dendrites marked with numbers have their corresponding time traces shown in panel c. (c) 20 example traces of Ca2+ dynamics in neuronal processes, divided equally between V1 and LM. Blue shaded epochs denote periods of mouse locomotion. Numbers on the traces indicate the corresponding numbered dendrites shown in panel b. Scale bars in a are 100 μm and also apply to b.

Supplementary Figure 6 Cell bodies and neuronal processes in both V1 and LM show orientation tuning in their Ca2+ transient responses to moving grating visual stimuli.

Gray traces represent the Ca2+ dynamics imaged on single trials in cell bodies (top two rows) and neuronal processes (bottom two rows), for each of four orthogonal directions of grating movement (each denoted with a distinct color shading). Red traces depict mean responses averaged over 10 presentations. Scale bars are 10 μm and 30 μm for images of cell bodies and neuronal processes, respectively.

Supplementary information

Supplementary Text and Figures

Supplementary Figures 1–6 (PDF 1250 kb)

Supplementary Methods Checklist

(PDF 380 kb)

A head-restrained mouse behaving on a trackball views moving grating visual stimuli (left panel) during concurrent two-photon Ca2+-imaging in visual areas V1 (middle panel) and LM (right panel).

Ca2+ signals are displayed as ΔF(x, y, t) /σ (x, y), where the normalization factor σ (x, y) provides an estimate of each pixel's baseline noise (Online Methods). The appearances of white arrows indicate periods of visual stimulation and the directions of grating movement on the video monitor. The increase in background fluorescence is due to neuropil activation and is not light leakage from the video monitor, which accounted for <0.2% of the photodetection currents. The V1 and LM panels are cropped from full size, and the scale bars are both 100 μm. (MOV 20751 kb)

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Lecoq, J., Savall, J., Vučinić, D. et al. Visualizing mammalian brain area interactions by dual-axis two-photon calcium imaging. Nat Neurosci 17, 1825–1829 (2014). https://doi.org/10.1038/nn.3867

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