Abstract
The basal ganglia (BG) are phylogenetically conserved subcortical nuclei necessary for coordinated motor action and reward learning1. Current models postulate that the BG modulate cerebral cortex indirectly via an inhibitory output to thalamus, bidirectionally controlled by the BG via direct (dSPNs) and indirect (iSPNs) pathway striatal projection neurons2–4. The BG thalamic output sculpts cortical activity by interacting with signals from sensory and motor systems5. Here we describe a direct projection from the globus pallidus externus (GP), a central nucleus of the BG, to frontal regions of the cerebral cortex (FC). Two cell types make up the GP-FC projection, distinguished by their electrophysiological properties, cortical projections and expression of choline acetyltransferase (ChAT), a synthetic enzyme for the neurotransmitter acetylcholine (ACh). Despite these differences, ChAT+ cells, which have been historically identified as an extension of the nucleus basalis (NB), as well as ChAT− cells, release the inhibitory neurotransmitter GABA (γ-aminobutyric acid) and are inhibited by iSPNs and dSPNs of dorsal striatum. Thus GP-FC cells comprise a direct GABAergic/cholinergic projection under the control of striatum that activates frontal cortex in vivo. Furthermore, iSPN inhibition of GP-FC cells is sensitive to dopamine 2 receptor signaling, revealing a pathway by which drugs that target dopamine receptors for the treatment of neuropsychiatric disorders can act in the BG to modulate frontal cortices.
iSPNs are the major dopamine 2 receptor (D2r) expressing cells in the brain and project from dorsal striatum to the GP, suggesting that the therapeutic effects of drugs that target D2rs to treat schizophrenia6, bipolar disorder7 and obsessive compulsive disorder8 may involve GP circuits. GP neurons are generally described as GABAergic, spontaneously active, and projecting to the thalamus and all nuclei of the BG9. Thus the GP is thought to coordinate subcortical activity through inhibition. Nevertheless, there are ChAT+ neurons in and around the GP that project to cortex10,11 and appear to be innervated by SPNs from dorsal striatum12,13, despite the rarity of iSPN synapses at the ultrastructural level14. In macaques, GP neurons with NB-like firing properties respond to reward15, a computation attributed to the BG16. Furthermore, humans with GP lesions exhibit reduced metabolism in frontal cortices and psychiatric symptoms reminiscent of patients with frontotemporal lobe damage, consistent with loss of substantial extrinsic input17. Therefore we examined if the GP contains a projection system to FC that is functionally integrated into BG circuitry.
Retrograde labeling with fluorescent microspheres (retrobeads) in Drd2-EGFP mice identified ipsilateral FC-projecting neurons within the GP and clustered on the GP/NB and GP/striatum borders (Fig. 1a; EDFig. 1a–c). Nearly all GP-FC projecting neurons cells express the GABA vesicular transporter (Vgat) and synthetic enzyme GAD65 (Gad2), while a subset (72%) also express ChAT (EDFig. 1d,e). These results indicate that GP-FC projection neurons may be GABAergic but can be subdivided based on cholinergic marker expression (hereafter ChAT+ and ChAT− cells). ChAT+ cells of the NB also express GABAergic markers18, suggesting that much of the basal forebrain cholinergic system may corelease GABA (EDFig. 1f,g). ChAT− GP-FC cells do not express parvalbumin (PV) (EDFig. 1h–j); thus they are distinct from GP neurons that project to posterior BG nuclei19 and other non-cholinergic cortical projecting cells in the basal forebrain20. Analysis in a rhesus macaque confirmed that similar classes of neurons are conserved in primates: retrograde labeling followed by ChAT immunostaining identified ChAT− and ChAT+ cortically-projecting neurons in the GP (EDFig. 2a–e). In both macaque and mouse, ChAT+ cells were distributed around the GP and GP/NB border, areas that in mouse are exposed to iSPN axons (EDFig. 2f,g).
The projection patterns of mouse ChAT− and ChAT+ GP-FC cells were determined by selectively expressing fluorophores in each cell class21 and analyzing 3-dimensional brain reconstructions (2 mice, EDFig. 3; Sup. Video 1). ChAT+ and ChAT− GP cells target anterior cortices, yet arborize in different but overlapping cortical layers and subcortical nuclei (Fig. 1b–d; EDFig. 4). In most cortical regions, ChAT+ axons arborize in layers 1–6, most densely in layers 1–3, whereas ChAT− axons arborize densely in layers 5 and 6 and are absent from layer 1. In ectorhinal cortex, ChAT− axons extend into layer 1 (EDFig. 3k).
ChAT+ and ChAT− GP-FC cells are electrophysiologically distinct (Fig. 1e–g; EDFig. 5a–f): Retrobead+ ChAT− cells exhibit hyperpolarization activated cation currents (Ih) and, compared to ChAT+ cells, have smaller somata (1,740±391 vs. 5,139±547 μm3), narrower action potentials, higher maximum firing rates (~200 vs. 30 Hz) and less spike accommodation. ChAT− cells were spontaneously active at all ages studied, whereas ChAT+ cells become spontaneously active around sexual maturity (EDFig. 5g) and, once active, have lower firing rates (4.4±0.39 vs. 13.3±1.6 Hz). Thus ChAT expression subdivides these putative GABAergic GP-FC neurons into physiologically distinct cell types that may differentially affect cortical and sub-cortical activity during development and in adulthood.
The influence of this projection on FC was assayed in vivo using extracellular recordings in awake, head-fixed mice while optogenetically manipulating GP (Fig. 2 and EDFig. 6). Mice were habituated to restraint and periodically pressed a lever for water reward. Periods without lever presses were analyzed to avoid confounds of motor behavior. Pulsed optogenetic activation (473 nm, 5ms pulses 10 Hz for 3s) of channelrhodopsin (ChR2)-transduced Vgat+ neurons of GP but not of mCherry-transduced controls entrained firing in FC, as shown by the population activity during the stimulation period and immediately following individual stimuli (ChR2+: n=90 units, 5 mice; mCherry+: n=99 units, 3 mice) (Fig. 2a; EDFig. 6a,b). For each unit the light modulation of activity index (Ilight) was calculated: Ilight=0 represents no change in firing, whereas values of +1 or −1 indicate that all firing occurred during light stimulation or non-stimulation periods, respectively. Optogenetic stimulation decreased firing rates ~20% overall (<Ilight>= −0.11±0.02, P<0.0001 Kruskal-Wallis test, Fig. 2a); however, individual units showed increases (~ 4%, n=4 of 90) or decreases (~42%, n=38 of 90, P<0.05, Student’s T-test) in firing rate. No significant light-induced changes were observed above chance in controls (n=0 and 2 of 99 units with significantly increased and decreased activity, 3 mice)(EDFig. 6c).
To establish if ongoing activity in GP basally sculpts FC firing, we suppressed GP using the light-driven proton pump archaerhodopsin (ArchT). Constant illumination of ArchT+ GP (594 nm, 3 seconds) increased (~26%, n=25 of 96) or decreased (~20%, n=19 of 96) firing of individual FC units (2 mice, P<0.05 Student’s T-test, Fig. 2b). These bidirectional changes resulted in no significant change in population firing rate (<Ilight>= 0.02±0.01, P>0.05 Kruskal-Wallis test). Units in mCherry controls (2 mice) were not modulated at a rate greater than chance (n=1 and 2 of 63 units with significant increased or decreased activity, respectively)(EDFig. 6d). In response to ArchT-mediated inhibition or ChR2-mediated excitation of GP, some FC units altered activity within <50 ms of light onset (EDFig. 6e). These gain- and-loss-of-function experiments indicate that activity in GP rapidly, potently and bidirectionally modulates neurons in frontal cortex in vivo. Furthermore, local stimulation of ChR2-expresssing GP axons in FC using an optical fiber/electrode combination (optrode) revealed that activity of GP-FC neurons is sufficient to modulate FC. Pulsed illumination of ChR2+ axons did not persistently change FC activity, but transiently increased firing rates within 5–10 ms of light onset (n=111 units, 5 mice), an effect not seen in control mCherry+ axons (n=92 units, 2 mice) (Fig. 2c; EDFig. 6f,g).
ChAT+ GP-FC axons project heavily to cortex but sparsely within the BG and thalamus (EDFig. 4) such that activation of these cells in GP should minimally engage canonical BG outputs. Pulsed excitation in GP increased firing rates in the FC (n=120 units, 4 mice) by 11% (<Ilight>=0.04±0.01 P<0.0001 Kruskal-Wallis test, Fig. 2d), bidirectionally modulating activity of a subset of individual units (increases: ~13%, n=15 units; decreases: ~2%, n=2). Illumination of ChAT+ axons in FC using an optrode confirmed that these effects were due to activation of GP-FC projection neurons: firing rates transiently increased 5–10 ms after light onset (n=74 units, 3 mice) without persistent changes during the 3s period of pulsed stimulation (EDFig. 6g,h). Lastly, ArchT mediated suppression of ChAT+ GP neurons with constant yellow light did not significant effect firing rates above chance (~1% increased, n=1 of 120, 4 mice; ~3% decreased, n=3 of 120)(EDFig. 6i), possibly due to low basal firing rate of these cells.
To determine the synaptic mechanisms by which ChAT+ and ChAT− GP-FC cells modulate cortex, we examined the neurotransmitters released by each cell type (Fig. 3; EDFig. 7a,b). Whole-cell voltage-clamp recordings in acute brain slices targeted neurons with somata within ~150 μm of ChR2+ axons (EDFig. 7c). Pharmacology and manipulation of holding potential identified ChR2-evoked synaptic currents due to opening of ionotropic GABA, glutamate, and ACh receptors. In a subset of neurons in FC slices (n=5 of 94 neurons; 5 mice), optogenetic activation of ChAT− axons evoked inhibitory post-synaptic currents (IPSCs) whose properties were consistent with direct GABA release from ChR2-expressing axons and monosynaptic activation of GABAA receptors (Fig. 3a,b). Similar analysis in subcortical slices of ChR2-expressing ChAT+ axons that ramify around the GP/NB border (ED Fig. 7d–f) revealed excitatory post-synaptic currents (EPSCs) in a small number of cells (n=2 of 85 cells, 6 mice) which were unaffected by application of glutamate receptor antagonists but abolished by nicotinic ACh receptor (nAChR) antagonists (EDFig. 7g–l). In addition, larger and more prevalent IPSCs were detected (n=7 of 85) that were insensitive to antagonists of nAChR and glutamate receptors but were abolished by antagonists of GABAA receptors (Fig. 3a,b), consistent with direct release of GABA from ChAT+ GP axons and monosynaptic activation of GABAA receptors. We conclude that both ChAT+ and ChAT− GP-FC cells release GABA, consistent with the expression of markers for GABA synthesis and handling, and that ChAT+ cells additionally release ACh.
Recordings in acute brain slices from mice expressing GFP in cortical GABAergic interneurons identified the FC neurons monosynaptically targeted by each GP-FC cell class (EDFig. 8a–d). Activation of ChAT− axons evoked IPSCs in interneurons in layers 2/3, 5, and 6, as well as pyramidal neurons in layers 5 and 2/3. Activation of ChAT+ axons evoked IPSCs in a small number of interneurons in layers 1, 2/3 and 6 and EPSCs in interneurons in layers 1 and 6. These results suggest ChAT− GP-FC cells inhibit interneurons and pyramidal neurons across cortical layers, whereas ChAT+ GP-FC cells can activate and inhibit cortical interneurons via release of ACh and GABA.
Target-specific neurotransmitter release suggests a separation of GABA and ACh release sites within individual ChAT+ axons in cortex. To examine this possibility, we labeled ChAT+ GP-FC presynaptic terminals (PSTs) with synaptophysin-GFP and determined the proximity of a variety of pre and post-synaptic proteins in ultra-thin brain slices by fluorescence immunohistochemistry (“array tomography”) and custom image analysis routines (Fig. 3c–g; EDFig. 8e–k). Reconstructed portions of FC (8 stacks, 2 mice) contained GFP+ volumes that resembled “pearls on a string”. Detected GFP+ “pearls” had volumes consistent with PSTs22 and co-localized with Synapsin1, Bassoon and GAD1/2, supporting their identity as PSTs capable of synthesizing GABA. GFP+ PSTs co-localized with Gephyrin but not PSD-95, indicating that they appose inhibitory but not excitatory post-synaptic densities (Fig. 3e). The majority of GFP+ PSTs immunostained for at least one of the GABA/ACh vesicular transporters (n=4274 of 6071), but all combinations were observed: VAChT alone (n=2030), VGAT alone (n=407) and both VGAT and VAChT (n=1837). Within individual PST expressing both vesicular transporters, the VGAT and VAChT punctae were separable (318±39 nm between centroids), suggesting that individual axonal boutons can corelease GABA and ACh but do so through distinct vesicular pools (Fig. 3f,g).
ChAT+ GP-FC projection neurons have been previously identified as part of the NB. To be included in the BG, GP-FC cells should receive synaptic inputs typical of the GP: glutamatergic input from the subthalamic nucleus (STN) and GABAergic input from SPNs of the dorsal striatum. Indeed, STN axons arborize in the regions containing GP-FC cells and electrical stimulation of the STN-GP axon tract evoked glutamatergic EPSCs in ChAT+ and ChAT− FC-projecting cells (EDFig. 9a–e). Similarly, axons of iSPNs and, surprisingly, dSPNs ramified around ChAT+ GP neurons (Fig. 4a; Sup. Video 2). Optogenetic stimulation of axons of either striatal cell class evoked GABAergic IPSCs in nearly all GP-FC cells (iSPNs; ChAT+:20 of 22, ChAT−:19 of 20 from 11 mice; dSPNs; ChAT+:12 of 12, ChAT−:11 of 11 from 11 mice, Fig. 4b; EDFig. 10a,b). In contrast, ChAT+ cells of the NB or SI do not receive dorsal SPN input (EDFig. 10c–e). Together these results indicate that GP-FC cells are distinct from NB neurons and are functionally integrated into BG circuitry through direct, indirect and hyperdirect (STN-GP)23 pathways. Although iSPNs and dSPNs both inhibit GP-FC cells, differences in synaptic strength and short-term plasticity (EDFig. 10b,f,g) suggest that dynamic activity in each pathway could differentially inhibit the GP-FC projection.
The presence of a GABAergic output to cortex under control of striatal SPNs could be important for understanding the etiology and treatment of motor and psychiatric diseases24,25. For example, schizophrenia is genetically associated with D2rs26, treated with drugs that block D2rs6 and often manifests coincident with developmental changes in cortical inhibition27. Schizophrenics exhibit imbalances in GABA28 and ACh29 systems, as well as molecular and morphological changes in prefrontal interneurons30. Since GP-FC cells are present in primates (EDFig. 2), release GABA and ACh onto interneurons (Fig. 3; EDFig. 8a–d), and are inhibited by D2r-expressing iSPNs (Fig. 4), we examined whether D2r signaling affects iSPN synapses onto GP-FC cells. Indeed, the D2r agonist quinpirole reduced the amplitude of iSPN mediated IPSCs in GP-FC neurons in acute brain slices (Fig. 4c). This reduction was reversed by the antipsychotic sulpiride and was not seen in dSPN mediated IPSCs, confirming that striatal dopamine could disinhibit the GP-FC projection via anti-psychotic sensitive D2r signaling (EDFig. 10h).
The existence of GP-FC cells suggests a major revision to BG models2,24. Striatal direct and indirect pathways were proposed to exert opposite effects on cortical activity through bidirectional control of ascending thalamic drive. The GP-FC projections bypass thalamus, allowing dSPNs and iSPNs to modulate cortex in concert. Furthermore, the hyperdirect cortical projection through the STN excites GP-FC neurons directly, forming a two-synapse loop for recurrent cortical modulation. The effects of GP-FC neurons on cortex are complex, mediated by GABA and ACh acting on diverse postsynaptic targets. The context of GP-FC activity during behavior, the specific identities of cortical targets, and the mechanisms and consequences of GABA/ACh co-release will be the subjects of further investigation.
METHODS
Mice
Bacterial artificial chromosome (BAC) transgenic mice expressing EGFP under control of the dopamine 2 receptor locus (Drd2-EGFP) were used to define the anatomical border of the globus pallidus externus (GP) and ventral pallidum (VP) through the expression of EGFP in striatal iSPNs (GENSAT, founder line S118). Cre recombinase was targeted to specific cell types of the basal ganglia using knock-in or BAC transgenic mice to drive Cre expression under gene-specific regulatory elements. Cre knock-in mice for choline acetyltransferase (ChAT)31 and Slc32a1 (vesicular GABA transporter or Vgat)32 were generously provided by Brad Lowell (Beth Israel Deaconess Medical Center) and are available from the Jackson Labs (ChAT i-Cre, stock #006410; Vgat i-Cre, stock #016962). Gad2 i-Cre were purchased from Jackson Labs (stock #010802)33. All knock-in mice link Cre expression to the gene of interest using an internal ribosome entry site. Targeting Cre expression in dSPNs was achieved with BAC transgenic mice expressing Cre under control of the dopamine receptor 1 (Drd1a) or in iSPNs with Cre under control of the adenosine 2A receptor (Adora2a) or dopamine receptor 2 (Drd2) regulatory elements and obtained from GENSAT (Drd1a-Cre, founder EY262, stock #017264-UCD; Adora2a-Cre, founder KG139, stock # 031168-UCD; Drd2-Cre, founder ER43, stock #017268-UCD)34,35. The ChAT-GFP BAC transgenic line used to identify ChAT+ neurons was purchased from Jackson Labs (#007902)36. To visualize the full processes of Cre expressing cells, Cre mice were bred to Cre-activated TdTomato reporter allele37 (Ai14; Jackson Labs, stock # 007914; referred to as Rosa26lsl-tdTomato). To visualize the somata of Cre expressing cells, the Cre-activated ZsGreen reporter allele was used37 (Ai6; Jackson Labs, stock # 007906; referred to Rosa26lsl-zsGreen). To target channelrhodopsin-2 (ChR2) to all Cre expressing cells, Cre driver mice were bred to a Cre-activated ChR2(H134R)-EYFP transgene38(Ai32; Jackson Labs, stock #012569; referred to as Rosa26lsl-ChR2-EYFP). In experiments designed to identify cortical cells neighboring ChR2+ ChAT+ or ChAT− GP-FC axons as pyramids or interneurons, ChAT i-Cre mice also carried a Gad1GFP knock-in allele39 to highlight a subset of cortical interneurons synthesizing GABA. Unless otherwise noted, we do not distinguish between mice heterozygous (eg Cre/+) or homozygous (Cre/Cre) for knock-in alleles. Wild type mice refer to C57BL/6 obtained from Charles River. Transgenic mice were of a mixed genetic background. All experimental manipulations were performed in accordance with protocols approved by the Harvard Standing Committee on Animal Care following guidelines described in the US National Institutes of Health Guide for the Care and Use of Laboratory Animals.
Virus Preparation
Cre-On or Cre-Off conditional expression was achieved using recombinant adeno-associated virus (rAAV) carrying transgenic cassettes whose transcription was activated or inactivated by Cre40. Cre-On conditional expression of channelrhodopsin-2 (ChR2-mCherry, H134R variant), EGFP, mCherry, or Synaptophysin-mCherry was achieved by using a double-floxed inverted open reading frame (DIO). Cre-Off conditional expression of ChR2-mCherry was achieved by starting the open reading frame in the non-inverted orientation with respect to the promoter (DO). To achieve simultaneous Cre-On EGFP and Cre-Off tdTomato labeling, DIO-EGFP was mixed 1:1 with FAS-tdTomato, an alternative Cre-Off rAAV backbone that achieves Cre-Off expression through excision of the open reading frame using alternative loxp sites10. DIO, DO, and FAS rAAVs all use the EF1α promoter and were packaged in serotype 8 by a commercial vector core facility, except for DIO-ArchT-tdTomato which uses a CAG promoter and was packaged as serotype 5 (University of North Carolina). All rAAVs were stored in undiluted aliquots at a concentration >1012 genomic copies per ml at −80°C until intracranial injection.
Stereotaxic intracranial injections
Male and female mice (postnatal day 20–120) were anesthetized with isoflurane and placed in a small animal stereotaxic frame (David Kopf Instruments). Under aseptic conditions, the skull was exposed and a small hole was drilled. For rAAVs injections, 200–350 nl total volume was delivered bilaterally into the ventral GP/dorsal NB or 500 nl into dorsal striatum through a pulled glass pipette at a rate of 200 nl·min−1 using a Microinject system (World Precision Instruments). GP injection coordinates were 0.7 mm posterior from Bregma, 2.0 mm lateral and 3.8 mm below the pia. Dorsal striatum injection coordinates were 0.9 mm anterior from Bregma, 2.2 mm lateral and 2.5 mm below the pia. After surgical procedures, mice received flunixin for analgesia and were returned to their home cage for >21 days to allow for maximal gene expression. To identify GP neurons that project to frontal cortex, 200 nl of fluorescent retrobeads (Red-1X or Green, Lumafluor) were injected into frontal (anterior to striatum) cortical areas including secondary motor (M2), primary motor (M1), primary somatosensory (S1) and dorsal and ventral agranular insular (AID and AIV) cortices. Frontal cortex injection coordinates were 1.9 mm anterior from Bregma, 1.8 mm lateral and 2 mm below the pia. Following surgery, mice received flunixin and were returned to their home cage for 3–9 days before experimentation. Stereotaxic coordinates were adjusted slightly by age.
Fixed Tissue Preparation and Imaging
Mice were deeply anesthetized with isoflurane and transcardially perfused with 4% paraformaldehyde (PFA) in 0.1 M sodium phosphate buffer (1x PBS). Brains were post-fixed for 1–3 days, washed in 1x PBS and sectioned (40 μm) coronally, sagittally or horizontally using a Vibratome (Leica). Slices were then immunostained (see Immunohistochemistry) or mounted on slides (Super Frost). After drying, slices were coverslipped with ProLong antifade mounting media containing DAPI (Molecular Probes) and imaged with an Olympus VS110 slide scanning microscope using the 10x objective. Fluorescent proteins introduced through rAAVs or transgenic alleles were never immunoenhanced, except in 3D brain reconstructions (see 3D brain reconstruction and analysis). Confocal images (1–2 μm optical sections) were acquired with an Olympus FV1000 laser scanning confocal microscope (Harvard Neurobiology Imaging Facility) through a 63x objective.
Immunohistochemistry
Immunohistochemistry conditions were the same for both mouse and macaque sections. For ChAT immunohistochemistry, slices were incubated in a 1x PBS blocking solution containing 5% normal horse serum and 0.3% Triton X-100 for 1 hour at room temperature. Slices were then incubated overnight at 4°C in the same solution containing anti-choline acetyltransferase antibody (1:100, Millipore AB144P). The next morning, sections were washed three times for five minutes in 1x PBS then incubated for 1 hour at room temperature in the blocking solution containing donkey anti-goat Alexa 647 or Alexa 488 (1:500, Molecular Probes). For macaque sections, streptavidin conjugated to Alexa 350 or Alexa 488 (1:1000, Molecular Probes) was also included in the secondary reaction to visualize biotinylated dextran amine (BDA) signal. The same protocol was used for NeuN (1:100, Millipore MAB377) and Parvalbumin (1:1000, Millipore MAB1572) immunostaining with anti-mouse Alexa 647 secondary antibodies (1:500, Molecular Probes). Immunostained mouse sections were mounted and imaged as described above. Immunostained macaque sections were mounted as described below.
Retrograde tracing in a Rhesus macaque
A 10 year-old male rhesus macaque was prepared for surgery under aseptic conditions. Anesthesia was initiated with ketamine (15 mg/kg) and valium (1 mg/kg) and the macaque was given an intravenous catheter and intubated. Isoflurane (1–2% in oxygen) was used to maintain anesthesia. Bilateral circular craniotomies were made over the frontal cortex, exposing the principal and arcuate gyri. Tracer injections were targeted to cortical areas that receive projections from the “Ch4id” and “Ch4iv” cell groups41. Specifically, tracers were injected along the principal and arcuate gyri (corresponding to the area between Mesulam et al. cases 23, 26 and 6) as well as the ventral orbital frontal cortex (Mesulam case 19) using a micromanipulator to guide a 10 μl Hamilton syringe. In the right hemisphere, Red 1X retrobeads (Lumafluor) were injected at 16 dorsal locations and 4 ventral locations. In the left hemisphere, BDA (10% in sterile saline) was injected at 12 dorsal locations and 2 ventral locations. At each site, 0.5 μl of tracer was injected at 2 depths, 1 and 2 mm below the cortical surface. After injection, the skull fragments were replaced and the macaque was allowed to recover on a water heated pad under constant observation. After a 21 day survival period, the macaque was killed with a barbiturate overdose (>50 mg/kg, to effect) and perfused through the heart with normal saline followed by 4% formaldehyde in 1x PBS, pH 7.4. The brain was removed from the skull and post-fixed for 24 hours in the same fixative solution. Following cryoprotection for 3 days in 30% sucrose solution, the hemispheres were separated, blocked and cut in 40 μm coronal sections using a freezing microtome. Throughout the extent of GP, coronal slices from both hemispheres were sampled 1 out of 12 to check for retrograde labeling. To visualize BDA labeling in the left hemisphere, sliced were rinsed in 1x PBS and immunostained (see Immunohistochemistry). Slices from the retrobead-injected right hemisphere were unenhanced. Slices were mounted on gelatin-covered slides using an acetone-xylenes drying procedure then coverslipped with DPX-medium. Sampled sections from the right hemisphere showed non-specific fluorescent microsphere labeling throughout subcortical areas and thus were not considered further. Sampled sections from left hemisphere contained cells with retrograde labeling in the GP/NB area consistent with Ch4iv and Ch4id groups. Flanking sections to those showing retrograde labeling were then double immunostained for ChAT and BDA (see Immunohistochemistry) and imaged as above. All experimental manipulations were performed in accordance with protocols approved by the Harvard Standing Committee on Animal Care following guidelines described in the US National Institutes of Health Guide for the Care and Use of Laboratory Animals.
Slice preparation
Acute brain slices were obtained from mice using standard techniques. Mice were anesthetized by isoflurane inhalation and perfused through the heart with ice-cold artificial cerebrospinal fluid (ACSF) containing (in mM) 125 NaCl, 2.5 KCl, 25 NaHCO3, 2 CaCl2, 1 MgCl2, 1.25 NaH2PO4 and 11 glucose (~308 mOsm·kg−1). Cerebral hemispheres were removed, placed in ice-cold choline-based cutting solution (consisting of (in mM): 110 choline chloride, 25 NaHCO3, 2.5 KCl, 7 MgCl2, 0.5 CaCl2, 1.25 NaH2PO4, 25 glucose, 11.6 ascorbic acid, and 3.1 pyruvic acid), blocked and transferred into a slicing chamber containing ice-cold choline-based cutting solution. Sagittal slices (350 μm thick) were cut with a Leica VT1000s vibratome and transferred to a holding chamber containing ACSF at 34°C for 30 minutes and then subsequently incubated at room temperature. Both cutting solution and ACSF were constantly bubbled with 95% O2/5% CO2. In a subset of experiments, acute brain slices were cut in ice-cold ACSF.
Acute slice electrophysiology and two-photon imaging
Individual slices were transferred to a recording chamber mounted on a custom built two-photon laser scanning microscope (Olympus BX51WI) equipped for whole-cell patch-clamp recordings and optogenetic stimulation. Slices were continuously superfused (3.5–4.5 ml·min−1) with ACSF warmed to 32–34°C through a feedback-controlled heater (TC-324B; Warner Instruments). Cells were visualized through a water-immersion 60x objective using differential interference contrast (DIC) illumination. Epifluorescence illumination was used to identify those cells labeled by fluorescent microspheres and/or expressing fluorescent genetic markers. Patch pipettes (2–4 MΩ) pulled from borosilicate glass (G150F-3, Warner Instruments) were filled either with a Cs+-based low Cl− internal solution containing (in mM) 135 CsMeSO3, 10 HEPES, 1 EGTA, 3.3 QX-314 (Cl− salt), 4 Mg-ATP, 0.3 Na-GTP, 8 Na2-Phosphocreatine (pH 7.3 adjusted with CsOH; 295 mOsm·kg−1) for voltage-clamp recordings, or with a K+-based low Cl− internal solution composed of (in mM) 135 KMeSO3, 3 KCl, 10 HEPES, 1 EGTA, 0.1 CaCl2, 4 Mg-ATP, 0.3 Na-GTP, 8 Na2-Phosphocreatine (pH 7.3 adjusted with KOH; 295 mOsm·kg−1) for current-clamp recordings. Alexa Fluor 594 (20 μM) was added to both internals. Series resistance (<25 MΩ) was measured with a 5 mV hyperpolarizing pulse in voltage-clamp and left uncompensated. Membrane potentials were corrected for a ~7 mV liquid junction potential. After the recording was complete, cellular morphology was captured in a volume stack using 740 nm two-photon laser light (Coherent). All recorded GP-FC neurons were labeled with microspheres following injection in frontal cortex. In experiments where ChAT expression was not marked fluorescently, ChAT+ or ChAT− GP-FC neurons were distinguished based on soma size and spontaneous firing rate in cell attached mode. Cortical neurons were classified as pyramids or interneurons based on dendritic morphology and Gad1GFP expression. For analyses of intrinsic properties shown in Fig. 1f and EDFig. 5a–f, mice were age post-natal day (P) 18–22. For whole-cell spontaneous firing rates shown in Fig. 1g, all ages assayed (P13-56) were included. For all analyses of intrinsic properties, NBQX (10 μM), CPP (10 μM) and SR95331 (50 μM) were included in the bath. For pharmacological analyses of synaptic transmission in Fig. 3a,b mice were P66-127. For optogenetic activation experiments of ChAT− cells, NBQX (10 μM) and CPP (10 μM) were included in the bath. For ChAT+ cells, the bath solution was drug-free. IPSCs evoked from ChAT− cells (Vhold=0 mV) were blocked by the voltage-gated sodium channel blocker tetrodotoxin (TTX, 1 μm), demonstrating action potential-dependent ChR2-mediated transmitter release. IPSCs could be rescued in the continued presence of TTX by enhancing ChR2-mediated depolarization of terminals with application of the voltage-gated K+ channel blocker 4-aminopyridine (4AP, 500 μm) and were subsequently abolished in the presence of the GABAA receptor antagonist SR95531 (50 μM), indicating direct (monosynaptic) release of GABA by ChAT− cells. For the ChAT+ cell type, evoked EPSCs (Vhold=−70 mV) were unaffected by application of CPP and NBQX, but abolished by nicotinic receptor antagonist cocktail of MEC (10 μm), MLA (0.1 μm) and DhβE (10 μm), indicative of ACh release and activation of ionotropic nicotinic receptors. IPSCs evoked from ChAT+ activation were blocked by SR95531, but not by CPP, NBQX, MEC, MLA or DHβE, indicating GABAA receptor activation independent of glutamatergic and nicotinic signaling. ChAT+ IPSCs were blocked by TTX and rescued by 4AP, confirming direct release of GABA by ChAT+ cells. For the screen of cortical synaptic connectivity reported in EDFig. 8b, NBQX and CPP were included in the bath for both ChAT+ and ChAT− GP-FC cell experiments. In a subset these experiments, TTX and 4AP were also included. See EDFig. 8c,d for comparison. For FC layer 1 experiments involving optogenetic activation of all ChAT i-Cre expressing neurons reported in EDFig. 7k,l, mice were age P27-91 and NBQX and CPP were included in the bath. For optogenetic experiments involving iSPNs or dSPNs reported in Fig. 4b,c and EDFig. 10f–h, mice were age P30-37. NBQX, CPP, scopolamine (10 μM), CGP55845 (5 μM) & AM251 (10 μM) were included in the bath and quinpirole (8 μM) and sulpiride (10 μM) were used for flow-ins. For experiments involving optogenetic activation of striatum reported in EDFig. 10e, mice were age P43-45 and NBQX and CPP were included in the bath. For experiments involving electrical stimulation of the STN-GP axons reported in EDFig. 9d,e, mice were age P38-42 and SR95331 was included in the bath.
Acute slice data acquisition and analysis
Membrane currents and potentials were recorded using an Axoclamp 700B amplifier (Molecular Devices) filtered at 3 kHz and digitized at 10 kHz using National Instruments acquisition boards and a custom version of ScanImage written in MATLAB (Mathworks). Electrophysiology and imaging data were analyzed offline using Igor Pro (Wavemetrics), ImageJ (NIH), MATLAB (Mathworks) and GraphPad Prism (GraphPad Software). In figures, voltage-clamp traces represent the average waveform of 3–6 acquisitions; current-clamp traces are individual acquisitions. Passive membrane properties were calculated from current deflections in voltage-clamp (Vhold = −70 mV). Cells were considered spontaneously active with maintained action potential firing (>20s) within 2 minutes of whole-cell break in. Average Vrest was calculated for non-spontaneously active cells 1–3 minutes after break in. Peak amplitudes were calculated by averaging over a 1 ms window around the peak. In EDFig. 9d,e, AMPAR and NMDAR currents were isolated from the stimulation artifact by subtracting the NBQX resistant component (Vhold = −70 mV) followed by the CPP/NBQX resistant component (Vhold = +40 mV) following a 3 minute wash-in period from current averages consisting of 10–15 consecutive acquisitions (20 s inter-stimulus interval). For pharmacological analyses in Fig. 4c current averages were calculated from 15 consecutive acquisitions (20 s inter-stimulus interval) before and after a 3 minute wash-in period and then normalized to averages corresponding to the same time with no drug flow in. For pharmacological analyses in Figs. 3a,b, 3–7 consecutive acquisitions (20 s inter-stimulus interval) were averaged following a 3 minute wash-in period for NBQX and CPP or a 4 minute wash-in period for MEC, MLA, and DHβE. For TTX and 4AP conditions, current averages were composed of the acquisitions following full block or first-recovery of ChR2 evoked currents, respectively. Current responses reported in EDFig. 8b were considered monosynaptic if present in TTX/4AP or <3.1ms onset latency. Data (reported in text and figures as mean ± s.e.m.) were compared statistically using the following Mann-Whitney test or Fisher’s Exact test. P values smaller than 0.05 were considered statistically significant.
Optogenetic and electrical stimulation in acute slices
To activate ChR2 in acute slices, 473 nm laser light (Optoengine) was focused onto the back aperture of the 60x water immersion objective to produce collimated whole-field illumination. Square pulses of laser light were delivered every 20 seconds and power was quantified for each stimulation by measuring light diverted to a focal plane calibrated photodiode through a low-pass dichroic filter. For ChR2 introduced with rAAVs, light (2 ms;1.3–4.4 mW·mm−2) was used across conditions except in some cases following bath application of TTX and 4AP where increasing the power or duration of light stimulation was necessary to recover currents (for example, changing the duration from 2 to 4 ms). For ChR2 activation of dSPN or iSPN inputs onto GP-FC cells (Drd1a-Cre;Rosa26lsl-ChR2-EYFP/+ or Adora-Cre;Rosa26lsl-ChR2-EYFP/+ mice), a consistent light stimulation (1 ms; 1.3 mW·mm−2) was delivered directly over the recorded cell and the resulting currents were used to compare synaptic strength across cells. For pharmacological analysis reported in Fig. 4c and EDFig. 10h and paired-pulse comparisons reported in EDFig. 10f,g, the objective was moved 0.16 – 1.4 mm into dorsal striatum (median = 0.4 mm) and stimulation strength and duration (0.5–1 ms; 0.06–4.4 mW·mm−2) were adjusted to produce 1st peak currents between 26 – 547 pA (median = 226 pA). Stronger light powers (2–7 ms;4.4 mW·mm−2) were used activate ChR2 in ChAT i-Cre cells (ChAT i-Cre;Rosa26lsl-ChR2-EYFP/+ mice) in cortex (EDFig. 7k,l). For electrical activation of the STN axonal projection into the GP, a bipolar tungsten electrode (TST33A10KT; World Precision Instruments) was placed at the anterior border of the STN and 0.1–0.5 ms square pulse of current was applied and power adjusted to maintain evoked currents while minimizing the stimulus artifact.
Reagents
Drugs (all from Tocris) were applied via bath perfusion: SR95531 (10 μM), tetrodotoxin (TTX; 1 μM), 4-aminopyridine (4AP; 500 μmu;M), scopolamine (10 μM), (2S)-3-[[(1S)-1-(3,4-Dichlorophenyl)ethyl]amino-2-hydroxypropyl](phenylmethyl)phosphinic acid (CGP 55845; 5 μM), N-(Piperidin-1-yl)-5-(4-iodophenyl)-1-(2,4-dichlorophenyl)-4-methyl-1H-pyrazole-3-carboxamide (AM-251; 10 μM), 2,3-dihydroxy-6-nitro-7-sulfamoyl-benzo(f)quinoxaline (NBQX; 10 μM), R,S-3-(2-carboxypiperazin-4-yl)propyl-1-phosphonic acid (CPP; 10 μM), N,2,3,3-Tetramethylbicyclo[2.2.1]heptan-2-amine, (MEC; 10 uM), [1α,4(S),6β,14α,16β]-20-Ethyl-1,6,14,16-tetramethoxy-4-[[[2-(3-methyl-2,5-dioxo-1-pyrrolidinyl)benzoyl]oxy]methyl]aconitane-7,8-diol (MLA; 0.1 uM), (2S,13bS)-2-Methoxy-2,3,5,6,8,9,10,13-octahydro-1H,12H-benzo[i]pyrano[3,4-g]indolizin-12-one (DHβE; 10 uM), (S)-(−)-5-Aminosulfonyl-N-[(1-ethyl-2-pyrrolidinyl)methyl]-2-methoxybenzamide ((−)sulpiride; 10 μM) and (4aR-trans)-4,4a,5,6,7,8,8a,9-Octahydro-5-propyl-1H-pyrazolo[3,4-g]quinolone ((−)quinpirole; 8 uM). CPP and NBQX were combined to make a cocktail of antagonists to target ionotropic glutamate receptors, while MEC, MLA and DHβE were combined to make a cocktail to antagonize nicotinic receptors.
Biocytin labeling of STN axonal projections
Acute parasagittal slices (350 μm thick, 10° off-sagittal) were prepared from wild type mice (post natal day 34) as described above. This cutting orientation preserves the reciprocal connections between the subthalamic nucleus (STN) and the GP42. In circulating warm ACSF (32–34°C), patch pipets filled with biocytin (0.2%, Molecular Probes) containing internal solution containing (in mM) 135 mM KMeSO4, 5 mM KCl, 5 mM HEPES, 4 mM Mg-ATP, 0.3 mM Na2-Phosphocreatine (pH 7.4 adjusted using KOH; 295 mOsm·kg−1) were targeted to the STN under DIC illumination. A picospritzer (Picospritzer III; Parker Instrumentation) was used to puff the solution into the center of STN for 1 hour (400 ms pulse at 1 Hz, 5–10 PSI). The slice was allowed to recover for 0.5 hour before being transferred to 4% PFA in 1x PBS overnight. The following morning, slices were rinsed in 1x PBS before avidin-biotinylated HRP complex (ABC) processing (Vectastain)43. Slices were then wet-mounted onto glass slides, coverslipped, and imaged under bright-field illumination using the 10x objective of an Olympus VS110 slide scanner microscope.
In vivo electrophysiology
At least 1 week after the initial injections, male mice were surgically implanted with a permanent titanium headpost. In this surgery the coordinates for GP, FC, and M1 were marked on the surface of the skull based on stereotaxic coordinates. The headpost was secured and the animal’s skull was covered with C&B metabond (Parkell Inc). Animals were subsequently housed alone and allowed to recover for 1 week before habituation to restraint. Mice were water restricted (to a target of 85% of their free feeding weight) and habituated to restraint in a custom-made lever-press training rig. This rig allows the animal to press a lever in response to an auditory cue. Animals were trained for increasing durations for at least 3 days until they were able to tolerate head restraint for 90 min without struggling. In this time animals achieved an intermediate level of performance on the task, where they knew the association between lever press and reward, but were not proficient at recognizing and responding to tones. One day before the first recording day animals were anesthetized with isoflurane and received a craniotomy over the region of interest. In this surgery, if necessary, a chronic fiber (62.5μm core multimode fiber (ecablemart.com) attached to a ceramic LC ferrule (Pfp Inc) was implanted at the same coordinates as the GP viral injection, but at depth 2.8mm. All Chronic fibers were prescreened to have >80% transmission at 473nm light. A ceramic ferrule connecter linked the chronic fiber to a standard LC cable. Light shuttering and output control was through an acousto optic modulator (AA systems) and had >1000:1 occlusion ratio. Recordings were made using 16 or 32 channel silicone probes with 177 μm2 recording sites (Neuronexus Technologies) spaced 50 μm apart and lowered to a depth of ~1000μm below the surface of the brain. Optrode recordings were made with a 16 channel probe of the same configuration fitted with a fiberoptic 100 μm above the top recording site (Neuronexus Technologies, OA series). Stimulation intensity for blue light fiber stimulation was 5 mW from fiber tip (~ 400 mW·mm−2), optrode stimulation was 10 mW from fiber tip (~ 800 mW·mm−2) and yellow light fiber stimulation was 3 mW from fiber tip (tip (~ 250 mW·mm−2). All in vivo electrophysiology was acquired using the omniplex system (Plexon Inc) and filtered at 300–8KHz. Spike detection was done by level crossing generally at 50μV and clustering to remove the noise cluster using offline sorter (Plexon Inc). Units that were separable were counted separately, but many units were accepted as multi-unit. All analysis here assumes each unit as a possible multi-unit and is only separated when necessary. Units with firing rate <0.1Hz in the baseline period were excluded for analysis. All analysis was performed using custom scripts in Igor Pro. Data visualization and statistical analysis was done using Igor Pro and GraphPad Prism. Index of Modulation (ILight) was calculated as the difference in firing rate with the light on, minus the firing rate of the light off divided by the sum of those firing rates, it varies from −1 to 1 where a 0 indicates no change and 1 indicates all activity was detected with the light on. Latency analysis was carried out similar to other groups44, firing rate for each unit was binned in 50ms periods aligned to the onset of optogenetic stimulation. Mean and standard deviation (SD) of the firing rate was determined for a baseline period 1s long ending with the light onset. The first bin after light onset to deviate more than ±2 SD from the baseline mean was reported as the bin of first change. Units where no change was detected within the first 500ms were ignored. By this metric units can have both an increasing and decreasing first bin irrespective of the net change in firing rate. Z score of ms timescale firing rate changes was calculated by obtaining a mean and standard deviation of firing in 20 x 5ms bins from a baseline period 3s prior to each 5ms blue pulse. This baseline period had the same number of pulses as the actual stimulation trial (4500–6000 pulses) but was shifted to a period of no illumination. The actual firing rate was z-scored (mean subtracted and divided by the SD) by this baseline mean and SD, to find significant deviations. Z scores from each unit were averaged to create a population value (Fig. 2c, EDFig. 6g). All mCherry control experiments were performed in ChAT i-Cre mice following transduction of rAAV DIO-mCherry in the GP. All ArchT experiments were performed in Vgat i-Cre or ChAT i-Cre mice following transduction of rAAV DIO-ArchT-tdTomato into the GP.
Three-dimensional brain reconstruction and analysis
Following fixation, brains were frozen and sectioned at 50 μm. GFP and tdTomato were immuno-enhanced in free floating sections using mouse-anti GFP (1:1000, abCam ab1218) and rabbit-anti RFP (1:2000, Rockland Antibodies 600-401-379) followed by anti-mouse Alexa 488 (1:200, Jackson Immunoresearch 115-545-062) and anti-rabbit Cy3 (1:2000; Jackson Immunoresearch 111-165-144) secondary antibodies. Sections were mounted on slides and counterstained with Neurotrace Blue (Invitrogen) and imaged on a Zeiss microscope with a Ludl motorized stage controlled with Neurolucida software (Microbrightfield). Imaging was done with a 10x objective and a Hamamatsu Orca Flash 4 camera. Each coronal section containing between 80–200 tiles merged with Neurolucida software. Coronal sections were aligned and Nissl labeling normalized using Neurolucida, Adobe Photoshop and ImageJ software. Aligned sections were rendered in three dimensions and cortical areas defined using Imaris software (Bitplane). Custom algorithms were written in MATLAB (Mathworks) to detect and quantify axons by cortical area. Briefly, 2D multiscale hessian filtering45 was followed by non-maximum suppression and then by hysteresis thresholding46. Hysteresis thresholds were applied to both the response (largest eigenvalue of hessian) and anisotropy (difference of eigenvalues after normalizing by Gaussian filter response). For anterior-posterior analysis of axon densities (Fig. 1c), raw data was 5 point median filtered and peak normalized. For average fluorescence measurements across layers (Fig. 1d), fluorescence signal from each channel was normalized to peak and baseline subtracted by white matter signal.
Array Tomography
Mice were deeply anesthetized with isoflurane and transcardially perfused with 4% PFA, 2% Sucrose in 0.1 M sodium phosphate buffer (1x PBS). Brains were post-fixed for 1 day, washed in 1x PBS and sectioned into 300 μm sagittal slabs using a Vibratome (Leica). Frontal cortex was then cut out using a razor blade and dehydrated through a series of alcohol dilutions before being infiltrated with LR White acrylic resin (Sigma Aldrich L9774-500G) overnight. Tissue was then placed in a LR White filled gel cap that was polymerized at 50°C overnight. Blocks of tissue were cut on an ultramicrotome (Leica EM UC7) into ribbons of 70 nm thin sections. Sections were then manually lifted onto gelatin coated slides, air dried and then heated on a hot plate (~80°C) for ten minutes. Slides were marked by Pap Pen liquid blocker. Ribbons were treated with 50 mM glycine in 1x TBS for 5 minutes, followed by 5 minutes in blocking buffer (5% BSA, .05% Tween 20 in TBS) before primary antibody staining. Staining was performed in blocking buffer overnight at 4° C. After primary antibody staining, the slides were washed three times with TBS, followed by blocking buffer for five minutes. Secondary antibody staining was performed in blocking buffer for 30 minutes at room temperature. All secondary antibodies were used at a dilution of 1:150. Slides were washed with TBS, then rinsed with ultrapure H2O for 20 seconds. SlowFade Gold antifade reagent with DAPI (Molecular Probes S36939) was added to each slide before coverslipping. After imaging, the coverslip was removed and the slide was treated with elution buffer (0.2M NaOH, 0.1% SDS in dH2O) for 20 minutes at room temperature. The slide was washed with TBS three times and rinsed with ultrapure H2O for 20 seconds. After rinsing, each slide was allowed to air dry, then put on a hot plate for 10 minutes before staining. Subsequent stains followed the same protocol. The dilutions and staining order are as follows:
Stain 1: chkαGFP 1:100(GTX13970, GeneTex); musαGephyrin 1:100(612632, Biosciences Pharmingen); rabαGAD 65–67 1:1000(ab11070, Abcam)
Stain 2: rabαPSD95 1:100(3450, Cell Signaling Tech.)
Stain 3: musαBassoon 1:100 (ab82958, Abcam); rabαSynapsin 1 1:100 (5297S, Cell Signaling Tech.)
Stain 4: rabα Parvalbumin 1:100(PV-25, Swant)
Stain 5: musαVAChT 1:100(139 103, Synaptic Systems); rabαVGAT 1:100(131 011, Synaptic Systems)
Imaging was performed using a Zeiss Axio Imager Z1 Upright Fluorescence Microscope. A position list was generated at 20x in cortex to identify the ROI on each section. Four images were then acquired with Zeiss Plan-Apochromat 63x/1.4 Oil DIC Objective and stitched into a single final image (Mosaix, Axiovision). Individual stacks were aligned in FIJI using the MultiStackReg plugin, initially using the DAPI channel and then a second alignment to the stack from the first imaging session. Fine alignments were the performed using the Synapsin1 stack and the Register Virtual Stack Slices plugin of FIJI to correct for warping. Background fluorescence was then subtracted from the aligned stacks using a 10 pixel rolling ball filter and contrast was adjusted to 0.1% through the FIJI software. Image analyses were carried out with custom written scripts in MATLAB (Mathworks). GFP+ volumes and diffraction-limited synaptic markers were computationally detected from image stacks. GFP+ “pearls”, which correspond to putative pre-synaptic terminals (PSTs), were identified as varicosities belonging to a “string” with multi-plane spanning volumes. All synaptic markers were treated as single pixel point-sources within a given z plane. Images were segmented to exclude DAPI+ nuclei and areas containing no tissue. Co-localization analyses of GFP+ “pearls” and synaptic markers were performed by quantifying the mean voxel densities within GFP+ “pearls” (0 distance) and from 102–512 nm outside “pearl” volumes. Mean voxel densities for real data were compared to those mean densities (EDFig. 8i) following randomization of diffraction-limited immunopunctae (1000 rounds). Z scores (as in Fig. 3e; EDFig. 8k) were calculated from 0 distance mean densities following 10 rounds of GFP+ “pearl” randomization:
In total, the array tomography dataset consisted of n=8 stacks from n=2 mice, with n=4 stacks in layers 1–3 and n=4 stacks in layer 5. Each stack consisted of 26–31 x 70 nm slices, with a total volume of 7.6 x 105 μm3. Note, in the plot in Fig. 3f, which reports the distances between VGAT-VAChT punctae within the same GFP+ “pearl,” excludes n=8 singleton values between 1.2–1.6 μm.
Extended Data
Supplementary Material
Acknowledgments
The authors thank the Lowell laboratory at Beth Israel Deaconess Medical Center for the gift of the DIO-Synaptophysin-mCherry and DIO-Synaptophysin-GFP rAAVs, Rachel Pemberton for technical support, Dr. Fenna Krienen, Nicole Duggan, Dr. Pascal Kaeser and members of the Sabatini laboratory for helpful discussions. This work was supported by grants from the National Institute of Health (F31 NS074842) to A.S., (F31-MH093026-01A1) to I.A.O., (P30 EY12196) to the Vision Core and NINDS P30 Core Center grant (#NS072030) to the Neural Imaging Center and Neurobiology Imaging Center in the Department of Neurobiology at Harvard Medical School and an (R01 NS046579) to B.L.S.
Footnotes
AUTHORS CONTRIBUTIONS
A.S., I.A.O and B.L.S designed the experiments. A.S. performed the anatomical and acute slice experiments, analyzed the data and assisted all other parts of the study. I.A.O performed the in vivo recordings and analyzed data. C.A.J assisted with immunohistochemistry experiments and mouse genotyping. V.K.B. performed rhesus macaque anatomical experiments. C.R.G sliced and imaged mouse brains for three-dimensional reconstructions. N.D.K performed the sectioning, staining and imaging for array tomography. H.L.E and T.X. assisted in the image analysis for axon detection in whole-brain reconstructions and array tomography analysis, respectively. A.S. and B.L.S wrote the manuscript with contributions from the other authors.
The authors declare no competing financial interests.
Readers are welcome to comment on the online version of this article at www.nature.com/nature.
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