lattice system of functionallydistinct cell types in the...

7
RESEARCH ARTICLE NEUROSCIENCE Lattice system of functionally distinct cell types in the neocortex Hisato Maruoka,* Nao Nakagawa,* Shun Tsuruno,* Seiichiro Sakai,* Taisuke Yoneda,* Toshihiko HosoyaThe mammalian neocortex contains many cell types, but whether they organize into repeated structures has been unclear. We discovered that major cell types in neocortical layer 5 form a lattice structure in many brain areas. Large-scale three-dimensional imaging revealed that distinct types of excitatory and inhibitory neurons form cell typespecific radial clusters termed microcolumns. Thousands of microcolumns, in turn, are patterned into a hexagonal mosaic tessellating diverse regions of the neocortex. Microcolumn neurons demonstrate synchronized in vivo activity and visual responses with similar orientation preference and ocular dominance. In early postnatal development, microcolumns are coupled by cell typespecific gap junctions and later serve as hubs for convergent synaptic inputs. Thus, layer 5 neurons organize into a brainwide modular system, providing a template for cortical processing. T he mammalian neocortex is densely popu- lated by diverse types of excitatory and inhib- itory neurons, each with specific molecular and cellular properties, synaptic connec- tions, and in vivo functions. Whether neo- cortical cell types organize into repeated structures representing common motifs for information processing has been poorly understood. Cortical columns, including orientation columns in the vi- sual cortex and barrels in the somatosensory cor- tex, have patterned structures, but their cellular and circuit-level organization is largely unsolved (1). Moreover, cortical columns are restricted to specific cortical areas and therefore do not rep- resent brainwide structural motifs. In neocortical layer 5, subcerebral projection neurons (SCPNs) are one of the two major ex- citatory neuron types and have well-defined anatomical and genetic specifications. SCPNs constitute the major cortical output pathway, sending massive axonal projections to subcortical targets including the pons, spinal cord, and su- perior colliculus (2). Prior studies described a lo- cal arrangement of SCPNs in radial clusters with a diameter of one to two cells and tangential distances of a few cell diameters (3, 4). These clusters, here termed microcolumns, have been reported in visual and somatosensory cortical areas in mice (3) and in language areas in hu- mans (4). To study the cellular organization of neocortical layer 5, we conducted structural and functional analyses of SCPN microcolumns and investigated whether other cell types organize into microcolumnar structures. Spatial organization of major cell types in layer 5 We examined the three-dimensional organiza- tion of SCPN microcolumns in the mouse brain. SCPNs were retrogradely labeled by injecting fluo- rescent tracers into the pons (Fig. 1A and fig. S1A). After fixation and clearing, the neocortex was scanned using two-photon microscopy (Fig. 1B). Confirming previous results ( 3), we observed SCPN microcolumns in visual and somatosensory corti- ces (Fig. 1, C and D). The radial alignment of SCPNs was also conserved in the motor cortex (Fig. 1E). Statistical analyses showed a microcolumnar or- ganization in nearly all examined neocortical re- gions (Fig. 1F and fig. S1, B to L). The orientation of microcolumns gradually changed along the cortex (Fig. 1F and fig. S1M) but remained ap- proximately parallel to apical dendrites (fig. S1, N to P, and materials and methods). The radius of microcolumns was ~10 mm in visual, somato- sensory, and motor cortices (Fig. 1G). Analyses of the organization of microcolumns have been performed previously in brain slices (3, 4), but their two-dimensional lateral arrange- ment in the cortex has not been determined. A two-dimensional Fourier analysis of the SCPN distribution revealed a periodicity of 30 to 45 mm (P < 0.001 in three of three mice; fig. S1, Q to S). We further analyzed the periodicity with a cor- rection for microcolumn tilt (fig. S1T). Tangential section images (Fig. 1, H and I) and the autocor- relogram of the SCPN distribution (Fig. 1J) sug- gested an approximately hexagonal pattern, which was observed in multiple cortical areas (Fig. 1K). We found a sixfold symmetry (P < 0.01; fig. S1, U to X) but no other rotational symmetries. Consist- ently, the two-dimensional power spectrum had six peaks ranging from 24 to 30 cycles/mm, two of which were located on the anterior-posterior axis and the other four of which were at lateral positions (Fig. 1L; computed for areas containing 2,000 microcolumns). Individual microcolumns were positioned near the intersections of the three waves reconstructed from the six peaks of the power spectrum (Fig. 1, H and I). Layer 5 contains another major type of excit- atory neuron that innervates the cerebral cortex: cortical projection neurons (CPNs) (2). We labeled CPNs in Tlx3 (T-cell leukemia homeobox 3)cre/ Ai9 mice (5) (green in Fig. 2A and fig. S2, A to F) and, in parallel, visualized SCPN microcolumns by retrograde labeling (magenta in Fig. 2, A and B, left). In layer 5bthe lower part of layer 5, where SCPNs are presentthe density of CPNs radially aligned to SCPNs was lower than the average density of CPNs (P < 0.01; Fig. 2B, middle), indicating that CPNs were excluded from SCPN microcolumns. Moreover, CPNs were radially aligned to each other in an orientation parallel to SCPN microcolumns (P < 0.01; Fig. 2B, right). Thus, CPNs are organized into cell typespecific microcolumns that interdigitate with SCPN micro- columns. CPNs in layer 5a also adopted a micro- columnar arrangement (fig. S2G). We also investigated the arrangement of the two most prevalent inhibitory neuron types in layer 5parvalbumin-expressing (PV + ) and somatostatin- expressing (SOM + ) cells (6)using fluorescent im- munostaining in three-dimensional samples (7 ) (Fig. 2, C to F). PV + and SOM + cells aligned radi- ally with SCPNs (P < 0.01; Fig. 2, C and D) but not with CPNs (Fig. 2, E and F, and fig. S2H), indicating a selective alignment of inhibitory neu- rons to excitatory neuron microcolumns. In vivo neuronal activity of microcolumns In vivo microcolumn activity has been only in- directly inferred from studies of immediate early gene expression in fixed slices (3). We therefore investigated microcolumn activity in vivo using an adeno-associated viral (AAV) vector that expresses the Ca 2+ indicator G-CaMP6 (8) almost exclusively in SCPNs (Fig. 3, A and B, and fig. S3), most likely owing to tropism. Ca 2+ signals were obtained from awake mice using two-photon volume imaging (120 to 240 mm thick, 1.6 to 2.4 volumes/s). The orientation of SCPN microcolumns was approxi- mated from the axes of the apical dendrites. Data from four representative SCPNs in the binocular visual cortex, recorded without visual stimulation, are shown in Figure 3, C to G. Cells 1 to 3 (tan- gential distance of <15 mm) showed synchronous Ca 2+ signals, whereas cell 4 (tangential distance to the other three cells of >25 mm) exhibited no synchronization with other cells (Fig. 3E). In ac- cord, the temporal correlation of Ca 2+ traces was higher among cells 1 to 3 than between cell 4 and other cells (Fig. 3G). We calculated the average correlation as a function of the tangential distance (Fig. 3H, left). The actual correlation values at tangential distances of <15 mm were greater than those for random surrogates (Fig. 3H), whereas the actual values at tangential distances of >20 mm were almost at the level of those for the surro- gates (Fig. 3H), indicating synchronized activity RESEARCH Maruoka et al., Science 358, 610615 (2017) 3 November 2017 1 of 6 RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan. *These authors contributed equally to this work. Corresponding author. Email: [email protected] on April 2, 2021 http://science.sciencemag.org/ Downloaded from

Upload: others

Post on 21-Oct-2020

1 views

Category:

Documents


0 download

TRANSCRIPT

  • RESEARCH ARTICLE◥

    NEUROSCIENCE

    Lattice system of functionally distinctcell types in the neocortexHisato Maruoka,* Nao Nakagawa,* Shun Tsuruno,* Seiichiro Sakai,*Taisuke Yoneda,* Toshihiko Hosoya†

    The mammalian neocortex contains many cell types, but whether they organizeinto repeated structures has been unclear. We discovered that major cell typesin neocortical layer 5 form a lattice structure in many brain areas. Large-scalethree-dimensional imaging revealed that distinct types of excitatory and inhibitoryneurons form cell type–specific radial clusters termed microcolumns. Thousands ofmicrocolumns, in turn, are patterned into a hexagonal mosaic tessellating diverseregions of the neocortex. Microcolumn neurons demonstrate synchronized in vivoactivity and visual responses with similar orientation preference and oculardominance. In early postnatal development, microcolumns are coupled by celltype–specific gap junctions and later serve as hubs for convergent synaptic inputs.Thus, layer 5 neurons organize into a brainwide modular system, providing a templatefor cortical processing.

    The mammalian neocortex is densely popu-latedbydiverse types of excitatory and inhib-itory neurons, each with specific molecularand cellular properties, synaptic connec-tions, and in vivo functions. Whether neo-

    cortical cell types organize into repeated structuresrepresenting common motifs for informationprocessing has been poorly understood. Corticalcolumns, including orientation columns in the vi-sual cortex and barrels in the somatosensory cor-tex, have patterned structures, but their cellularand circuit-level organization is largely unsolved(1). Moreover, cortical columns are restricted tospecific cortical areas and therefore do not rep-resent brainwide structural motifs.In neocortical layer 5, subcerebral projection

    neurons (SCPNs) are one of the two major ex-citatory neuron types and have well-definedanatomical and genetic specifications. SCPNsconstitute the major cortical output pathway,sending massive axonal projections to subcorticaltargets including the pons, spinal cord, and su-perior colliculus (2). Prior studies described a lo-cal arrangement of SCPNs in radial clusters witha diameter of one to two cells and tangentialdistances of a few cell diameters (3, 4). Theseclusters, here termed microcolumns, have beenreported in visual and somatosensory corticalareas in mice (3) and in language areas in hu-mans (4). To study the cellular organization ofneocortical layer 5, we conducted structural andfunctional analyses of SCPN microcolumns andinvestigated whether other cell types organizeinto microcolumnar structures.

    Spatial organization of major cell typesin layer 5We examined the three-dimensional organiza-tion of SCPN microcolumns in the mouse brain.SCPNswere retrogradely labeled by injecting fluo-rescent tracers into the pons (Fig. 1A and fig. S1A).After fixation and clearing, the neocortex wasscanned using two-photon microscopy (Fig. 1B).Confirming previous results (3), we observed SCPNmicrocolumns in visual and somatosensory corti-ces (Fig. 1, C andD). The radial alignment of SCPNswas also conserved in the motor cortex (Fig. 1E).Statistical analyses showed a microcolumnar or-ganization in nearly all examined neocortical re-gions (Fig. 1F and fig. S1, B to L). The orientationof microcolumns gradually changed along thecortex (Fig. 1F and fig. S1M) but remained ap-proximately parallel to apical dendrites (fig. S1,N to P, andmaterials andmethods). The radiusof microcolumns was ~10 mm in visual, somato-sensory, and motor cortices (Fig. 1G).Analyses of the organization of microcolumns

    have been performed previously in brain slices(3, 4), but their two-dimensional lateral arrange-ment in the cortex has not been determined. Atwo-dimensional Fourier analysis of the SCPNdistribution revealed a periodicity of 30 to 45 mm(P < 0.001 in three of three mice; fig. S1, Q to S).We further analyzed the periodicity with a cor-rection formicrocolumn tilt (fig. S1T). Tangentialsection images (Fig. 1, H and I) and the autocor-relogram of the SCPN distribution (Fig. 1J) sug-gested an approximately hexagonal pattern, whichwas observed in multiple cortical areas (Fig. 1K).We found a sixfold symmetry (P < 0.01; fig. S1, Uto X) but no other rotational symmetries. Consist-ently, the two-dimensional power spectrum hadsix peaks ranging from 24 to 30 cycles/mm, twoof which were located on the anterior-posterior

    axis and the other four of which were at lateralpositions (Fig. 1L; computed for areas containing≥2,000microcolumns). Individualmicrocolumnswere positioned near the intersections of thethree waves reconstructed from the six peaks ofthe power spectrum (Fig. 1, H and I).Layer 5 contains another major type of excit-

    atory neuron that innervates the cerebral cortex:cortical projection neurons (CPNs) (2).We labeledCPNs in Tlx3 (T-cell leukemia homeobox 3)–cre/Ai9 mice (5) (green in Fig. 2A and fig. S2, A to F)and, in parallel, visualized SCPN microcolumnsby retrograde labeling (magenta in Fig. 2, A andB, left). In layer 5b—the lower part of layer 5,where SCPNs are present—the density of CPNsradially aligned to SCPNs was lower than theaveragedensity of CPNs (P

  • within radially aligned SCPNs (Fig. 3, H and I, andfig. S4, A to D). We also confirmed significantsynchronization within individual microcolumns(materials andmethods). The observed correlationwas not caused by light contamination (Fig. 3, Eand F; fig. S4, E to G; andmaterials andmethods).Similar results were obtained in the primary so-matosensory and motor cortices (Fig. 3, J and K;fig. S4, A to G; and materials and methods).Although the superficial layers of the mouse

    visual cortex show weak clustering of neuronswith similar response properties (9, 10), cellu-lar clustering for visual functions in layer 5 ispoorly understood. We analyzed the orienta-tion preference and ocular dominance of SCPNmicrocolumns in the binocular visual cortex.

    We presented drifting gratings with six differ-ent orientations (Fig. 4A) and determined thepreferred orientation for each SCPN that exhib-ited orientation-selective responses. The differ-ence in the preferred orientation of SCPN pairswith a tangential distance of >20 mmwas similarto that of randomly selected pairs (~45°; Fig. 4C,left). In contrast, SCPN pairs with a tangentialdistance of

  • Maruoka et al., Science 358, 610–615 (2017) 3 November 2017 3 of 6

    Fig. 2. Cell type–specific microcolumnarorganization of CPNs and inhibitory neurons.Analyses of layer 5b cells in mice at age 5 to12 weeks. Photographs show the somatosensoryarea. White dashed lines mark the borderbetween layers 5a and 5b. (A and B) Analysis ofSCPNs and CPNs. Colored lines in (B) show celldensity for 31,304 SCPNs and 12,560 CPNs intwo mice (determined similarly to the resultsshown in Fig. 1G). (Left) The mean and SEM(shading) calculated among multiple subregionsin the cortex. The trough at 15 to 25 mm wassignificant (P < 3.1 × 10−5, two-tailed sign testagainst 1). (Middle and right) Gray, 100-surrogatedata generated by random positioning of CPNs.Dashed lines, highest and lowest 2.5% of surro-gates. Black line, median of surrogates. Thetrough in the right panel at 15 to 20 mm wassignificant (P < 0.01). (C to F) Analysis ofinhibitory neurons, shown similarly to the middlepanel in (B) (data from three mice): (C) 5727SCPNs and 1990 PV+ cells, (D) 6179 SCPNs and1793 SOM+ cells, (E) 7601 CPNs and 2830 PV+

    cells, and (F) 8772 CPNs and 3249 SOM+ cells. In(E) and (F), the orientation of microcolumns wasestimated from that of the apical dendrites.

    Fig. 3. Synchro-nized activity inSCPN microcol-umns. Data frommice at age 11 weeks.(A) Diagram ofimaging. Data fromthe binocular visualcortex are shown in(B) to (I). (B)Expression ofG‐CaMP6 in SCPNs.(C) Example cells(1 to 4). (D) Tempo-rally averagedimages of the cellsin (C), top view.Green dotted lines,cell contours.(E) Ca2+ traces ofthe cells in (C).Magenta lines andarrows, synchro-nized peaks of cells1 to 3. Cyan lines,large peaks in onlyone of cells 1 to 3,indicating that lightcontamination wasundetectable. DF/F,relative change influorescence. (F) Dataat “F” in (E). Left, Ca2+ traces. Right, fluorescence images (top view) atthe time frames indicated by dotted lines in the left panel. Green dottedlines, cell contours. Peaks in Ca2+ traces were accompanied by a signalincrease across the entire cell body, indicating that they representneuronal activity but not light contamination. (G) Correlation coefficientsof Ca2+ traces for cells 1 to 4. (H and I) Dependence of the average

    correlation on the distance (1209 cells in three mice). (H) Dependence ontangential distance. Green, actual data. Gray, data from 1000 randomsurrogates. Black dotted and solid lines, top 5% and median of randomsurrogates, respectively. (I) Dependence on radial distance. Pairs witha tangential distance of

  • aligned SCPNs (fig. S5B), consistent with previ-ous findings (11, 12). We next examined commonsynaptic inputs to a pair of neurons, which gen-erate synchronized excitatory postsynaptic cur-rents (EPSCs) with a typical time difference of

  • single microcolumns perform elementary cir-cuit functions that collectively constitute large-scale parallel processing. The descriptions ofmicrocolumns in multiple cortical areas in mice[(3) and this study] and humans (4) suggest thatthe lattice system is a neuronal architecture com-mon to cortical functions as diverse as sensory,motor, and language processing. The coordi-nated in vivo activity of SCPN microcolumnsand their convergent inputs indicate that theyconstitute a brainwide system of modular, re-

    peated synaptic circuits and discrete corticaloutput channels.Several mammalian species, but not rodents,

    possess ocular dominance columns and orien-tation columns. The typical width of an oculardominance column is ~500 mm, and the pre-ferred orientation of orientation columns changesgradually across the cortical surface. In mice,neighboring microcolumns (distance of ~40 mm)had no apparent similarity in visual responses.We hypothesize that in species that have orien-

    tation columns and ocular dominance columns,neighboring microcolumns may be progressivelyarranged to have similar functions, thereby con-tributing to the anatomy of known cortical col-umns. Orientation columns have a width roughlysimilar to microcolumn spacing (1) and exhibita hexagonal arrangement (22); therefore, theymay be constructed on the basis of the latticesystem.Previous studies demonstrated that clonally

    related neurons show electrical coupling in the

    Maruoka et al., Science 358, 610–615 (2017) 3 November 2017 5 of 6

    Fig. 5. Convergent strong inputs to SCPN microcolumns.(A) A visual cortex slice of a P24 Crym-egfp mouse. SCPNs andrecorded cells were labeled by EGFP expression and biocytininjection, respectively. White arrows indicate recorded neurons.(B) Current traces (top) and EPSC onsets (bottom) of a SCPN pair.Asterisk, coincident EPSCs. (C) Cross-correlogram of EPSC ratesof the pair in (B). Bin size, 2 ms. (Inset) Cross-correlogram shown ona longer time scale. (D) Tangential and radial distance betweensimultaneously recorded SCPN pairs. Red and gray dots indicateSCPN pairs with and without synchronized EPSCs, respectively(n = 183 pairs; P21 to P28). (E) Black, probability that a SCPN pairhad synchronized EPSCs. Error bars, 95% confidence intervalsestimated using the binomial distribution. Blue, average probability.Fractions indicate the number of pairs with synchronized EPSCsout of the total number of recorded pairs. Black numbers arefor pairs in the first (

  • early neonatal stage (21) and later exhibit similarorientation preference (23, 24). In contrast, ourfindings show that microcolumns are composedof clonally unrelated cells (3) that have specificelectrical coupling during P6 to P7, when corticalsynapses are being generated (19, 20). The tran-sient couplingmay synchronize neuronal activityand promote the development of microcolumn-specific circuits throughHebbian-likemechanisms.Gap junctions may also facilitate microcolumnarclustering through cell adhesion properties (25).Microcolumns might be structurally linked to“neuronal domains”—radial neuronal clusters ob-served in neonatal cortex that are suggested tohave gap junction coupling (26–28). Because neu-ronal domains spanmultiple cortical layers, micro-columns might also be present in other corticallayers.

    REFERENCES AND NOTES

    1. J. C. Horton, D. L. Adams, Philos. Trans. R. Soc. Lond. B Biol.Sci. 360, 837–862 (2005).

    2. B. J. Molyneaux, P. Arlotta, J. R. Menezes, J. D. Macklis,Nat. Rev. Neurosci. 8, 427–437 (2007).

    3. H. Maruoka, K. Kubota, R. Kurokawa, S. Tsuruno, T. Hosoya,J. Neurosci. 31, 18522–18542 (2011).

    4. K. Y. Kwan et al., Cell 149, 899–911 (2012).5. C. R. Gerfen, R. Paletzki, N. Heintz, Neuron 80, 1368–1383 (2013).6. H. Hioki et al., J. Neurosci. 33, 544–555 (2013).7. H. Hama et al., Nat. Neurosci. 18, 1518–1529 (2015).

    8. M. Ohkura et al., PLOS ONE 7, e51286 (2012).9. D. L. Ringach et al., Nat. Commun. 7, 12270 (2016).10. S. Kondo, T. Yoshida, K. Ohki, Nat. Commun. 7, 13210 (2016).11. S. Song, P. J. Sjöström, M. Reigl, S. Nelson, D. B. Chklovskii,

    PLOS Biol. 3, e68 (2005).12. T. K. Berger, R. Perin, G. Silberberg, H. Markram, J. Physiol.

    587, 5411–5425 (2009).13. A. Hayar, M. T. Shipley, M. Ennis, J. Neurosci. 25, 8197–8208

    (2005).14. Y. Yoshimura, J. L. Dantzker, E. M. Callaway, Nature 433,

    868–873 (2005).15. H. Kazama, R. I. Wilson, Nat. Neurosci. 12, 1136–1144

    (2009).16. S. Lefort, C. Tomm, J. C. Floyd Sarria, C. C. Petersen, Neuron

    61, 301–316 (2009).17. Y. Ikegaya et al., Cereb. Cortex 23, 293–304 (2013).18. L. Cossell et al., Nature 518, 399–403 (2015).19. M. C. Ashby, J. T. Isaac, Neuron 70, 510–521 (2011).20. M. Li et al., Brain Res. Bull. 81, 107–113 (2010).21. Y. C. Yu et al., Nature 486, 113–117 (2012).22. S.-B. Paik, D. L. Ringach, Nat. Neurosci. 14, 919–925 (2011).23. G. Ohtsuki et al., Neuron 75, 65–72 (2012).24. Y. Li et al., Nature 486, 118–121 (2012).25. L. A. Elias, D. D. Wang, A. R. Kriegstein, Nature 448, 901–907

    (2007).26. R. Yuste, A. Peinado, L. C. Katz, Science 257, 665–669

    (1992).27. A. Peinado, R. Yuste, L. C. Katz, Neuron 10, 103–114 (1993).28. R. Yuste, D. A. Nelson, W. W. Rubin, L. C. Katz, Neuron 14, 7–17

    (1995).

    ACKNOWLEDGMENTS

    The AAV vector was a gift from A. Yamanaka (Nagoya University;CREST, Japan Science and Technology Agency) and is available

    from Nagoya University under a material transfer agreement.We thank C. Yokoyama for thoughtful discussions andmanuscript editing, A. Miyawaki and H. Hama for valuablesupport with the anatomical experiments, S. Kondo and K. Ohkifor useful advice on in vivo microscopy, S. Tonegawa andH. Okamoto for helpful discussions on manuscript preparation,and H. Kazama and E. I. Moser for critical reading. We alsothank K. Kiso, N. Matsumoto, E. Ohshima, and M. Kishino fortechnical assistance and the RIKEN Brain Science Insitute–Olympus Collaboration Center for providing imaging equipment.This work was supported by research funds from RIKEN toT.H. and Grants-in-Aid for Scientific Research from MEXT(the Ministry of Education, Culture, Sports, Science andTechnology of Japan) to T.H. (Innovative Areas “MesoscopicNeurocircuitry,” 22115004), N.N. (16K14565), S.T. (24700344),and S.S. (25890023). Neuron coordinate data are availablein the supplementary materials. H.M., N.N., S.T., S.S., andT.Y performed the Ca2+ imaging. N.N. performed the gapjunction experiments. S.T. performed the synaptic connectivityexperiments. S.S. performed the anatomical experiments. T.Y.performed the visual response analyses. H.M., N.N., S.T.,S.S., T.Y., and T.H. analyzed the data and wrote the paper. T.H.conducted the research.

    SUPPLEMENTARY MATERIALS

    www.sciencemag.org/content/358/6363/610/suppl/DC1Materials and MethodsFigs. S1 to S7References (29–39)Data S1

    19 January 2017; accepted 25 September 201710.1126/science.aam6125

    Maruoka et al., Science 358, 610–615 (2017) 3 November 2017 6 of 6

    RESEARCH | RESEARCH ARTICLEon A

    pril 2, 2021

    http://science.sciencemag.org/

    Dow

    nloaded from

    http://www.sciencemag.org/content/358/6363/610/suppl/DC1http://science.sciencemag.org/

  • Lattice system of functionally distinct cell types in the neocortexHisato Maruoka, Nao Nakagawa, Shun Tsuruno, Seiichiro Sakai, Taisuke Yoneda and Toshihiko Hosoya

    DOI: 10.1126/science.aam6125 (6363), 610-615.358Science

    , this issue p. 610Sciencedevelopment is lineage-independent but guided by local electrical transmission.

    specific gap junctions, suggesting that their−microcolumns developed from nonsister neurons coupled by cell type Microcolumns received common presynaptic inputs and showed synchronized activity in many cortical areas. These

    cortical projection neurons, also form microcolumns that interdigitate with those of the subcerebral projection neurons. microcolumns make up a hexagonal lattice with a regular gridlike spacing. The other major layer 5 excitatory cell class,

    examined large regions of mouse brain layer 5 and observed that thousands of these et al.microcolumns. Maruoka Subcerebral projection neurons, a major excitatory cell type in neocortical layer 5, form small cell clusters called

    The fundamental organization of excitatory and inhibitory neurons in the neocortex is still poorly understood.The basic modules of the neocortex

    ARTICLE TOOLS http://science.sciencemag.org/content/358/6363/610

    MATERIALSSUPPLEMENTARY http://science.sciencemag.org/content/suppl/2017/11/02/358.6363.610.DC1

    REFERENCES

    http://science.sciencemag.org/content/358/6363/610#BIBLThis article cites 38 articles, 5 of which you can access for free

    PERMISSIONS http://www.sciencemag.org/help/reprints-and-permissions

    Terms of ServiceUse of this article is subject to the

    is a registered trademark of AAAS.ScienceScience, 1200 New York Avenue NW, Washington, DC 20005. The title (print ISSN 0036-8075; online ISSN 1095-9203) is published by the American Association for the Advancement ofScience

    Science. No claim to original U.S. Government WorksCopyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of

    on April 2, 2021

    http://science.sciencem

    ag.org/D

    ownloaded from

    http://science.sciencemag.org/content/358/6363/610http://science.sciencemag.org/content/suppl/2017/11/02/358.6363.610.DC1http://science.sciencemag.org/content/358/6363/610#BIBLhttp://www.sciencemag.org/help/reprints-and-permissionshttp://www.sciencemag.org/about/terms-servicehttp://science.sciencemag.org/