Abstract
To investigate the fine anatomical organization of cortical inputs to visual association area TE, 2–3 small injections of retrograde tracers were made in macaque monkeys. Injections were made as a terminal procedure, after optical imaging and electrophysiological recording, and targeted to patches physiologically identified as object-selective. Retrogradely labeled neurons occurred in several unimodal visual areas, the superior temporal sulcus, intraparietal sulcus (IPS), and prefrontal cortex (PFC), consistent with previous studies. Despite the small injection size (<0.5 mm wide), the projection foci in visual areas, but not in IPS or PFC, were spatially widespread (4–6 mm in extent), and predominantly consisted of neurons labeled by only one of the injections. This can be seen as a quasi-modular organization. In addition, within each projection focus, there were scattered neurons projecting to one of the other injections, together with some double-labeled (DL) neurons, in a more distributed pattern. Finally, projection foci included smaller “hotspots,” consisting of intermixed neurons, single-labeled by the different injections, and DL neurons. DL neurons are likely the result of axons having extended, spatially separated terminal arbors, as demonstrated by anterograde experiments. These results suggest a complex, hybrid connectivity architecture, with both modular and distributed components.
Keywords: branched collaterals, double-labeled neurons, modularity, object recognition, optical imaging
Introduction
Inferotemporal cortex (IT; area TE) in macaque monkeys is closely associated with visual object recognition (e.g., Logothetis et al. 1995; Tanaka 1996; Tsao et al. 2003). Beyond this well-documented fact, however, questions and controversies abound (Logothetis 2000; Pasupathy 2006; Bell et al. 2009; Orban 2008). According to one proposal, neural response properties in area TE are viewed as built-up by a convergence of inputs from early, unimodal visual cortical areas (V4, TEO, posterior TE [TEp]) (Kobatake and Tanaka 1994). Other investigators have emphasized a distributed network, where object recognition in TE is considered as integrated with activity in several other areas (Haxby et al. 2000; Fairhall and Ishai 2007). Another proposal, generating considerable recent interest, is that there are several functionally specialized modules, and that these form separable, interlinked subsystems (Tsao and Livingstone 2008). Electrical microstimulation, combined with functional magnetic resonance imaging (fMRI) in monkeys, has demonstrated 6 interconnected patches responsive to face stimuli: 2 distinct patches in anterior TE and 4 additional patches in posterior areas likely to project to TE: area TEO, posterior TE, and the fundus and lower lip of the superior temporal sulcus (STS) (Moeller et al. 2008).
The anatomical connections of TE have been extensively investigated. These chiefly include inputs from retinotopically organized posterior visual areas, and identified areas within the STS, intraparietal sulcus (IPS), and prefrontal cortex (PFC) (Morel and Bullier 1990; Baizer et al. 1991; Webster et al. 1991, 1994; Martin-Elkins and Horel 1992; Felleman et al. 1997; Saleem et al. 2000, 2008; Ungerleider et al. 2008). There are also dense connections with perirhinal cortex (Webster et al. 1991; Suzuki and Amaral, 1994; Saleem and Tanaka 1996; Lavenex et al. 2002). This anatomical distribution is generally consistent with data from fMRI and physiological experiments. Previous retrograde tracing experiments, however, have used large injections. These would be unlikely to reveal fine scale, modular organization. Earlier studies in fact have not reported any obvious clustering of retrogradely labeled afferent neurons after tracer injections in TE. This contrasts with the pronounced modularity of feedforward connections between areas V1 and V2 (Livingstone and Hubel, 1984, 1987; Sincich and Horton, 2002) and V2 and V4 (Rockland and Pandya, 1981; Shipp and Zeki, 1985; Zeki and Shipp, 1989; Ungerleider et al. 2008). One report of injections in posterior IT cortex has described multiple clusters of labeled cells within V4 (Felleman et al. 1997).
In the present experiments, we set out to determine whether cortical inputs to TE exhibited any discernible anatomical modularity. We used small injections (300–500 μm), comparable in size to optically imaged activity spots in TE (Tsunoda et al. 2001), and multiple, color-distinguishable retrograde tracers targeted to specific activity spots (Fig. 1). Injected tracers were cholera toxin (CTB), conjugated to Alexa488 (green fluorescence), Alexa555 (red fluorescence), or gold nanoparticles (silver enhanced reaction product). For the sake of simplicity, the respective labeled neuron populations will be referred to as “green”, “red,” and “silver”.
This protocol resulted in several new results. 1) Connections from posterior visual areas (feedforward) were confirmed as conspicuously widespread (over 4–6 mm), despite the small size of the injections. 2) Predominantly, projection foci were organized in large swaths labeled by one of the injections (red, green, or silver), but embedded within these were scattered neurons labeled by one of the other injections. 3) Projection foci contained smaller zones (“hotspots”) where neurons projecting to different injection sites were intermixed, along with some double-labeled (DL) neurons. 4) In marked contrast, projections from the IPS and PFC formed small patches. Labeled neurons within these tended to be intermixed (rather than segregated by injection site), including some DL neurons.
We interpret these results as indicating a complex connectivity architecture. Inputs from posterior visual areas to a given spot in TE are broadly convergent, but there is also divergence, as explicitly shown by the scattered neurons and small “hotspot” zones. Divergence is consistent with axon branching and multiple, spatially separate arbors, as demonstrated by anterograde tracing studies (Saleem et al. 1993). This would seem to best fit a hybrid organization, neither strictly distributed nor strictly modular. This general experimental design, of distinguishable small injections, can be useful in further investigations of physiologically characterized domains and their connectivity.
Methods
Three male Rhesus monkeys (Macaca mulatta) weighing 4.5, 6, and 6.5 kg were used in this study. All 3 animals were implanted with a head fixation post and recording chamber according to a previously described protocol (Wang et al. 1998; Sato et al. 2008). Briefly, a titanium chamber (diameter 22.5 mm) was fixed to the skull at the position corresponding to the dorsal part of area TE. Subsequently, 2 optical-imaging sessions, and 5–10 sessions of electrophysiological recording were carried out (see Table 1 and Supplementary Figs 1 and 2). These data will be reported in detail elsewhere (Sato et al., in preparation).
Table 1.
Monkey | M1 (R127) | M2 (R139) | M3 (R138) |
Weight and sex | 6.5 kg male | 4.5 kg male | 6.0 kg male |
Chamber implant | 07.06.11, day 1 | 07.09.25, day 1 | 08.01.18, day 1 |
Optical imaging | 07.06.19, day 9 | 07.10.02, day 8 | 08.01.25, day 8 |
07.06.26, day 16 | 07.10.05, day 11 | 08.01.28, day 11 | |
Electrophysiology | 07.07.02, day 22 | 07.10.12, day 18 | 08.02.04, day 17 |
07.07.06, day 26 | 07.10.15, day 21 | 08.02.08, day 22 | |
07.07.12, day 32 | 07.10.19, day 25 | 08.02.13, day 27 | |
07.07.19, day 39 | 07.10.26, day 32 | 08.02.19, day 31 | |
07.07.25, day 45 | 07.10.31, day 37 | 08.02.25, day 39 | |
07.11.19, day 56 | 08.02.29, day 43 | ||
07.11.22, day 59 | 08.03.05, day 48 | ||
07.12.03, day 70 | 08.03.10, day 53 | ||
07.12.17, day 84 | 08.03.14, day 57 | ||
08.03.19, day 62 | |||
08.04.10, day 84 | |||
Injections | 07.07.31, day 51 | 07.12.06, day 73 | 08.03.25, day 68 |
Tracers injected | CTB-Alexa488 | CTB-Alexa488 | CTB-Alexa488 |
CTB-Alexa555 | CTB-Alexa555 | CTB-Alexa555 | |
CTB-gold | CTB-gold | ||
Perfusion | 07.08.13, day 64 | 07.12.18, day 85 | 08.04.11, day 85 |
Note: Italics indicate the electrophysiology sessions performed after tracers injections.
Three to 6 days after the last physiological experiment (or, next to last, in M2 and M3), animals were deeply anesthetized (i.m. ketamine, 11 mg/kg, followed by artificial ventilation with a mixture of N2O [70%], O2 [30%], and isoflurane [up to 1.5%]), and prepared for sterile surgery. All animal procedures were carried out in conformity with official Japanese regulations for research on animals, following institutionally approved protocols (RIKEN, Brain Science Institute), and in accordance with the US National Institutes of Health Guide for the Care and Use of Laboratory Animals (NIH Publication No. 80–23).
Tracer Injections
In M1, 2 retrograde tracers (cholera toxin subunit B conjugated with Alexa Fluor 488 [CTB-Alexa488; Invitrogen-Molecular Probes, Eugene, OR] and CTB conjugated with Alexa Fluor 555 [CTB-Alexa555; Invitrogen] were injected, and in M2 and M3, 3 tracers were injected [CTB-Alexa488, CTB-Alexa555, and CTB-colloidal gold conjugate, 7 nm {CTB-gold; List Biological Laboratories}]). Tracers were diluted, at 1% concentration, in 0.1 M phosphate-buffered saline (PBS), and 0.12-μL volumes were pressure injected through a 50-μm diameter glass micropipette attached to a 10-μL Hamilton syringe. Injection spacing is about 2-mm edge-to-edge, except that in M3 the center-to-center distance of CTB-Alexa488 and CTB-gold is about 0.9 mm. In all 3 animals, injection placement was guided, as was the electrophysiological recording, by the location of optically imaged spots referenced to the surface blood vessels (Fig. 1). Injections were made through a small slit in transparent artificial dura, previously placed in the chamber, to minimize brain pulsations.
After injections were completed, the injected field was photographed using Keyence (VB-G05) fluorescent stereomicroscopy (Fig. 1) to confirm successful delivery of tracers, and to assist in later alignment of injection sites with electrophysiological data. After recovery, there was one additional recording session for M2 and M3 (see Table 1).
Fixation and Tissue Preparation
After postinjection survival periods of 14 (M1), 13 (M2), and 18 days (M3), the monkeys were anesthetized with ketamine (11 mg/kg, i.m.) and Nembutal (overdose, 75 mg/kg i.p.), and perfused transcardially, in sequence, with saline containing 0.5% sodium nitrite (for 2 min), 4 L of 4% paraformaldehyde in 0.1 M phosphate buffer (PB; pH 7.4; 30 min), and chilled 0.1 M PB with 10%, 20%, and 30% sucrose. Brains were removed, and temporal cortex (area TE) containing the injection sites was separately trimmed for tangential sectioning, in order to assist enregistering the injection sites in relation to the physiological experiments. Enregistering the 2 data sets was done in relation to the surface blood vessel pattern, supplemented by 3 marker injections of DiI made just before the perfusion (Li et al. 2003).
After trimming, the TE blocks and remaining tissue were placed in 30% sucrose in PB for 2 days (at 4 °C). TE blocks were tangentially sectioned on a freezing microtome (at 50 μm) so that the brain surface and injection sites were parallel to the cutting plane, in a repeating series of 2 sections. In M1, one series was reacted by immunofluorescence to enhance the CTB-Alexa488 signal, and in M2 and M3, this designated series was double reacted for CTB-gold by silver-enhancement. The second series (of alternating sections) was only reacted by immunofluorescence to enhance the CTB-Alexa488 signal. For CTB-Alexa555, no enhancement was used.
The remaining, larger tissue blocks were cut coronally (at 50 μm) in a repeating series of 4 sections. In M1, one series (the first section of 4) was used to enhance the CTB-Alexa488 signal by immunofluorescence. In M2 and M3, this series was double-reacted for CTB-gold by silver-enhancement. The second of every 4 sections was stained for Nissl substance by thionin. The third of every 4 sections was reacted for CTB-Alexa488 by immunoperoxidase. The fourth section was reserved for other purposes, for subsequent staining as the first section, or was discarded. For M2, we processed a small series of sections in and around area TEO as an uninterrupted series for immunofluorescence (silver enhancement in the first section of 4), in order to assess clusters of green and red labeling more clearly.
Enhancement of CTB-Alexa488 Signal by Immunofluorescence
Sections were immunoblocked in 0.1 M PBS, pH 7.4, containing 0.5% Triton X-100 and 5% normal goat serum (PBS-TG) for 1 h at room temperature, and subsequently incubated with 1:1000 rabbit anti-Alexa488 antibody (Invitrogen) in PBS-TG for 2 days at 4 °C. After washing with 0.1 M PBS, sections were incubated for 1.5 h at room temperature in Alexa488-conjugated anti-rabbit polyclonal goat antibody (1:200; Invitrogen-Molecular Probes). To combine this procedure with visualization of CTB-gold (see next section), silver-enhancement for CTB-gold was performed first.
Visualization of CTB-gold by Silver Enhancement
Sections were washed with 0.1 M PB, followed by 0.01 M PB. The IntenSE M silver Enhancement kit (Amersham International; UK) was used to visualize CTB-gold signals (Sincich et al. 2007). A one-to-one cocktail of the IntenSE M kit solution and 33% gum arabic solution was used as a reagent. Development of reaction products was monitored under a microscope and terminated by rinsing the sections in 0.01 M PB and, subsequently, several rinses in 0.1 M PB. In general, incubation time was around 2 h.
Immunoperoxidase Reaction for CTB-Alexa488
To mitigate the problem of fading after prolonged light microscopic screening, immunoperoxidase reaction for CTB-Alexa488 was perfomed for the third section in the series. Sections were immunoblocked in PBS-TG for 1 h at room temperature, and subsequently incubated with 1:1000 rabbit anti-Alexa488 antibody in PBS-TG for 2 days at 4 °C. After washing with 0.1 M PBS, sections were incubated for 1.5 h at room temperature in biotinylated anti-rabbit polyclonal goat antibody (1:200; Vector Laboratories, Burlingame, CA) for 1.5 h at room temperature. Immunoreactivity was visualized by ABC incubation (one drop of reagents per 7 mL of 0.1 M PB, ABC Elite kits; Vector) followed by diaminobenzidine histochemistry with 0.03% nickel ammonium sulfate.
All sections were mounted on gelatin coated glass slides, air-dried, dehydrated in graded ethanol solutions, immersed in xylene, and coverslipped in DPX (Fluka, Buchs, Switzerland).
Data Analysis
Fluorescent signal was analyzed by using standard sets of filters: fluorescein (for CTB-Alexa488) or rhodamine (for CTB-Alexa555). CTB-Alexa488 and CTB-Alexa555 labeled neurons were identified by a green and red granular fluorescence in the cytoplasm, respectively. In the one section of each 4, reacted for CTB-gold, labeled cells were identified in dark field by the granular precipitate in the cytoplasm. In the coronal sections, the distribution of retrogradely labeled cells was analyzed and plotted in every 200 μm. Material was analyzed with a Nikon Eclipse E-800 microscope, at 100×–200×–400×, and chartings carried out by using Neurolucida, through a MicroFIRE digital camera incorporated in the microscope.
Injection size was defined according to previous studies (Luppino et al. 2003). The core of the injection site, that is the effective tracer uptake area, for CTB-Alexa488 and CTB-Alexa555 was considered to include the intensely fluorescent area around the needle track, and for CTB-gold was considered to be the densely stained regions adjacent to the needle track. Equivalence of tracer sensitivity was assessed, as part of another experiment, by injecting a mixture of CTB-Alexa488 and CTB-Alexa555 in the frontal lobe of one monkey. In this case, almost all neurons were DL (Ichinohe et al. 2008).
Identification of areas is not straightforward in the occipito-temporal region. There is considerable individual variability, and the borders between areas tend to be ambiguous or gradual (Boussaoud et al. 1991; Kobatake and Tanaka 1994; Zeki 1996). In identifying the location of projection foci, we have compared sulcal landmarks in our material with those of published physiologically and anatomically based maps (Seltzer and Pandya 1978; Yukie et al. 1990; Boussaoud et al. 1991; Saleem and Tanaka 1996). We have given only approximate retinotopic descriptions, because no visual field mapping was available from these monkeys.
In the frontal lobe, the PFC was subdivided according to Gerbella et al. (2007) and Carmichael and Price (1994). Inferior intraparietal areas were defined according to Blatt et al. (1990) and Borra et al. (2008).
To obtain a quantitative analysis of the cortical labeling observed in different cortical regions and areas, we counted the number of green, red, silver and DL or triple labeled neurons, as plotted in sections at 200 μm intervals, using Neurolucida software. In Tables 2 and 3, total numbers of labeled neurons are given by area or cortical region. The percentage of DL green/red neurons was calculated with respect to the total amount of labeled cells, adding the 2 tracers together (DL/tot) and then recalculated for each tracer separately (DL/g, DL/r). Calculations and tables were obtained with Microsoft Office Excel.
Table 2.
IPa |
r-lSTS (TEa) |
c-lSTS |
Crown (TEm) |
TEOd-TEpd |
TEOv |
V4 |
|||||||||
TOT | Cells | % | Cells | % | Cells | % | Cells | % | Cells | % | Cells | % | Cells | % | |
M1 | |||||||||||||||
Green | 20 495 | 462 | 2.3% | 3074 | 15.0% | 1832 | 9.0% | 452 | 2.2% | 12 268 | 59.9% | 527 | 2.6% | 261 | 1.3% |
Red | 5794 | 986 | 17.0% | 320 | 5.5% | 168 | 2.9% | 260 | 4.5% | 4981 | 86.0% | 41 | 0.7% | 11 | 0.2% |
DL | 1257 | 100 | 8.0% | 114 | 9.1% | 50 | 4.1% | 48 | 3.8% | 925 | 73.6% | 14 | 1.1% | 3 | 0.2% |
Tot | 27 546 | 1548 | 3508 | 2050 | 760 | 18 174 | 582 | 275 | |||||||
%DL/tot | 4.6% | 6.5% | 3.2% | 2.4% | 6.3% | 5.1% | 2.4% | 1.1% | |||||||
%DL/g | 5.8% | 17.8% | 3.6% | 2.7% | 9.6% | 7.0% | 2.6% | 1.1% | |||||||
%DL/r | 17.8% | 9.2% | 26.3% | 22.9% | 15.6% | 15.7% | 25.5% | 21.4% | |||||||
M2 | |||||||||||||||
Green | 14 689 | 559 | 3.9% | 4388 | 30.1% | 752 | 5.3% | 3040 | 21.3% | 4728 | 30.7% | 174 | 1.2% | 919 | 6.5% |
Red | 12 504 | 933 | 7.5% | 1182 | 9.5% | 281 | 2.2% | 1646 | 13.2% | 6113 | 48.9% | 30 | 0.2% | 1769 | 14.1% |
DL | 593 | 93 | 15.7% | 84 | 14.2% | 14 | 2.4% | 166 | 28.0% | 217 | 36.6% | 15 | 2.5% | ||
Tot | 27 786 | 1585 | 5654 | 1047 | 4852 | 11 058 | 204 | 2703 | |||||||
%DL/tot | 2.1% | 5.9% | 1.5% | 1.3% | 3.4% | 2.0% | 0.6% | ||||||||
%DL/g | 3.9% | 14.3% | 1.9% | 1.8% | 5.2% | 4.4% | 1.6% | ||||||||
%DL/r | 4.5% | 9.1% | 6.6% | 4.7% | 9.2% | 3.4% | 0.8% | ||||||||
Silver | 1142 | 321 | 28.5% | 603 | 52.4% | 218 | 19.1% | ||||||||
DL s + g | 272 | 79 | 141 | 52 | |||||||||||
DL s + r | 50 | 5 | 21 | 25 | |||||||||||
Triple | 8 | 5 | 3 |
Note: Total numbers and percentages are given by area or cortical region. % = percentage of one-color cells in one area or cortical region/total neurons of that color in the occipital and temporal cortex. Lower STS labeling was subdivided in rostral (r-lSTS) and caudal (c-lSTS); TEOv include labeling ventral to PMTS, clearly separated from the more densely labeled region dorsal to PMTS (TEp/TEO). It was not possible to define a border between TEp and TEO, so the quantitative analysis was performed for these 2 fields together.
%DL = The percentage of DL green/red neurons was calculated with respect to the total number of labeled cells, adding the 2 tracers (DL/tot) and for each tracer separately (DL/g, DL/r). In M2 silver cells were also counted (DLs + g = silver and green; DLs + r = silver and red).
Table 3.
Level a | Level b | Level c | ||
M1 | ||||
Tot PFC | 12l | 46-45A | 45B-8/FEF | |
Green | 205 | 152 | 45 | 15 |
Red | 161 | 99 | 27 | 30 |
DL | 44 | 37 | 6 | 1 |
Tot | 410 | 288 | 78 | 46 |
%DL/tot | 10.7% | 12.8% | 7.7% | 2.2% |
%DL/g | 17.7% | 19.6% | 13.3% | 6.7% |
%DL/r | 21.5% | 27.2% | 22.2% | 3.3% |
M2 | ||||
Tot PFC | 12r-12o | 46-45A | 45B-8/FEF | |
Green | 338 | 139 | 135 | 64 |
Red | 258 | 93 | 84 | 81 |
DL | 37 | 5 | 19 | 13 |
Tot | 688 | 251 | 279 | 158 |
%DL/tot | 5.4% | 2.0% | 6.8% | 8.2% |
%DL/g | 9.9% | 3.5% | 12.3% | 16.9% |
%DL/r | 12.5% | 5.1% | 18.4% | 13.8% |
Silver | 33 | 10 | 23 | |
DL s+g | 8 | 3 | 5 | |
DL s+r | 12 | 1 | 11 | |
triple | 2 | 2 | ||
M3 | ||||
Tot PFC | 12r | 12l-45A | 45B-8/FEF | |
Green | 811 | 353 | 227 | 231 |
Red | 348 | 81 | 207 | 60 |
DL | 76 | 27 | 33 | 16 |
Tot | 1235 | 461 | 467 | 307 |
%DL/tot | 6.2% | 5.9% | 7.1% | 5.2% |
%DL/g | 8.6% | 7.1% | 12.7% | 6.5% |
%DL/r | 17.9% | 25.0% | 13.8% | 21.1% |
Note: Conventions as in Table 2.
To generate a surface view representation of hotspot regions in the occipito-temporal cortex (Fig. 6), we first determined the anterior-posterior (AP) location of coronal sections (200 μm apart) on the photographed brain, with reference to sulcal changes. Then, relying on sulcal landmarks and adjusting the magnifications, we re-mapped the location and extent in mm of the hotspots from the Neurolucida charting to the hemisphere schema.
Hotspot regions were first identified qualitatively. For several of these, a further quantitative analysis was carried out (Supplementary Fig. 4, and Supplementary Tables). A window of 1.5–2.0 mm, anchored to anatomical landmarks, was positioned on the supragranular layers so as to include both the hotspot region and surrounding cortex, in several adjacent sections. The window was then subdivided into bins of 100 μm, perpendicular to the pial surface, and for each bin the number of green, red and DL cells was calculated. Finally, for each bin 2 factors that were used to define the hotspot regions, were calculated: the ratio of red and green cells (secondary/primary color) and the percentage of DL. Calculations, table and graphs were obtained with Microsoft Office Excel.
Photographic Presentation
The photomicrographs shown in the present study were obtained by capturing images directly from the sections using a digital camera (AxioCam HRc, Zeiss, Germany) attached to the microscope (AxioScope 2 plus, Zeiss, Germany). Individual images were then imported into Adobe Photoshop (Adobe Systems Incorporated, San Jose, CA) so that they could be processed, eventually assembled into digital montages, and reduced to the final enlargement. In most cases, image processing required lighting, brightness, and contrast adjustments. These were matched to the real microscope image.
Results
Injection Sites: Physiology
In all 3 monkeys, the set of object stimuli resulted in multiple activity spots, as expected from previous studies (Wang et al. 1998; Tsunoda et al. 2001; Sato et al. 2008). Spots responding to at least 2 of 25 object stimuli were selected for further electrophysiological examination (see Table 1 and Supplementary Fig. 1). In those experiments, the multiunit activity (MUA) from within the spots was recorded in response to 100 object images. MUA responded variably to a range of object images over different categories (human face, water melon, tree, car, chair, etc.—see Sato et al. 2008 and Supplementary Fig. 2). Thus, under our experimental conditions, the activity spots were considered object selective, but not, or not strongly, face selective (Supplementary Figs 1 and 2; further detail and analysis will be given in Sato et al. in preparation).
Injection Sites: Anatomy
Tracer injections were made 3–6 days after the last physiological recording. Injection placement was guided, as was the electrophysiological recording, by the location of optically imaged spots, referenced to the surface blood vessels (Fig. 1). As evaluated histologically, 7 of the 8 injections were <500 μm in diameter (the anterior, red injection in M1 was slightly larger especially in the superficial layers, ∼700 μm in diameter). Injections were defined as corresponding to the core region of uniformly dense labeling, distinguishable from the halo, where individual neurons could be discerned. In M3, the silver and green injections partially overlapped; this case was used mainly to confirm results in M1 and M2.
By comparison of injection sites and the optical-imaging map, we concluded that all injections successfully included the electrophysiological penetration sites. Agreement with the optically imaged spots was also excellent. However, as the borders of the spots were not sharp, especially when the results from multiple sessions were superimposed (Fig. 1), it is difficult to exactly overlay our injection sites with the individual optically imaged spots.
Because of the necessity of matching injection sites and optical-imaging data, the region around the injections sites was separately blocked and sectioned in the tangential plane. Perirhinal cortex and some tissue in the more anterior STS were thus not included in the coronal blocks and were not included in the analysis.
Posterior Visual Areas (V4, TEO, TEp)
In all 3 brains, labeled neurons occurred in posterior cortical areas consistent with previous reports (Morel and Bullier 1990; Baizer et al. 1991; Webster et al. 1991). These consisted of large projection foci which formed swaths of red or green neurons (Figs 2, 3). Silver neurons in M2 tended to form smaller patches (Fig. 3).
The swaths of neurons formed multiple large fields, each 4–6 mm AP and ML. We interpret these fields as corresponding to distinct visual areas, as previously defined by tracer experiments (Distler et al. 1993; Webster et al. 1991; Ungerleider et al. 2008) or visual field mapping (Baylis et al. 1987; Boussaoud et al. 1991). In particular, labeled neurons occurred in V4 in the vicinity of the inferior occipital sulcus (IOS; Figs 2, 3). Between the IOS and the posterior middle temporal sulcus (PMTS), the projection focus was very dense. In M1 (Fig. 2), the focus was reduplicated in 2 (sections c and f) or 3 (sections d and e). The 2 fields likely correspond to V4 and TEO (section e) or TEO and TEp more anteriorly (section b). The third anterior, dorsal field likely corresponds to TEm. In M2 (Fig. 3), multiple large patches were most pronounced anterior to PMTS (sections b, c, d). At this AP level, the likely correspondence is with ventral TEp, dorsal TEp, and TEm (adjacent to the STS). In M3, there was moderate label posterior, in what is probably V4, and dense label in the vicinity of the PMTS, in what is either TEO or TEp (not illustrated).
By using multiple injections, we were able to see some overall topography of the projection foci. This generally reflects the placement of the injection sites. Thus, the posterior injections produced projection foci situated more posterior to those resulting from the anterior injections. In M1, green neurons predominate posteriorly; and in M2, red neurons occur posteriorly. Green neurons intermix and then predominate anterior to the red focus. This trend was less obvious for the silver neurons, where patches of neurons were embedded in the predominantly green foci (Fig. 3, sections a–d). Topographic organization of connections has previously been reported, from TE to perirhinal cortex (Suzuki and Amaral 1994).
A possible topography was also suggested in comparing the 3 sets of injections. In M3, where injections were situated medial to those in M1, the position of the projection foci was ventrally offset relative to M1. M1 and M2 both had dorsally situated injections, but those in M2 were more anterior. Both brains had dense label in the zone between PMTS and STS; but at posterior levels (adjoining the IOS), the projection focus in M1 was ventrally offset relative to that in M2 (compare level e, f in Fig. 2 and f in Fig. 3).
Finer Scale Features
Closer examination of the large swaths of labeled neurons reveals several more detailed features. First, although the swaths were characterized by almost continuous labeling, some smaller patches could be detected (300–500 μm wide; arrowheads in Fig. 2A, sections d and e). In addition, single neurons frequently stood out in layer 2, and these tended to be separated by about 250 μm (arrows in Fig. 2B, arrowheads in Fig. 4A). Third, scattered neurons of the opposite color (i.e., projecting to a different injection site) consistently occurred within the larger swaths (Fig. 2A, hollow arrows in section b and c indicate red neurons in green patches). Fourth, in individual sections, it was common to find vertical rows of 4–7 closely aligned (i.e., touching) cells, horizontal rows of 4–5 closely aligned cells, and clumps of approximately 7 cells in close contact (Fig. 2D and Fig. 4B). In general, however, labeled cells were intermixed, without any apparent order, along with nonlabeled cells; and similarly, no clear organization was apparent when 2 single-labeled populations were intermixed (Fig. 2D).
Fifth and very striking, there were small islands (“hotspots”), within the swaths of green or red neurons, where the 2 colors were much less imbalanced (see “Quantitative” below, Methods, and Supplementary Tables and Fig. 4). Hotspots also usually contained DL neurons, and these tended to be more numerous than in the surrounding swath (Fig. 5 and Supplementary Fig. 4). The hotspots varied in size and shape. In posterior regions, these tended to be relatively small (0.5 × 0.5 mm or 0.8 × 1.0 mm), with a low density of labeled neurons (Fig. 5A). More anteriorly, in TEO, patches in individual sections aligned in a stripe-like configuration; and in TEp, they merged into one of the single-color projection foci (Fig. 6). The DL neurons can be assumed to have collateral branching to both injections. Single-colored intermixed neurons projected to one OR another injection. These neurons, however, may also have collateral branching, but in that case, collaterals would be to tissue not included in our injection sites (see Discussion).
Superior Temporal Sulcus
Multiple foci were prominent in the STS in all 3 brains (Figs 2, 3). These occurred from about the level of the anterior tip of the IOS and extended anteriorly. (Because the more anterior sections were included in a separate tissue block that was sectioned tangentially, these levels were not analyzed).
Concentrations of labeled neurons occurred posterior, in the lower bank and lip of the STS. This is likely to correspond to area FST (lower bank) and V4t (sulcal lip). Continuing anterior, the projection foci expanded to include the sulcal depth. At these levels, the areas involved are likely to be IPa (depth), TEa (lower bank), and TEm (sulcal lip). Foci were relatively extensive, measuring 2.0–3.0 mm wide and up to about 4.0 mm AP. This is similar to what is described by Saleem et al. (2000) after more anterior injections, in TEad.
The number of labeled neurons and size of the projection foci were greatest in M2 and least in M3. Of particular note, the focus in IPa had a larger number of red neurons in both M1 and M2 (Table 2). In M1, we cannot preclude the possibility of an additional, anterior green focus (not included in the main tissue block). In M2, we were confident that anterior sections (600 μm distant) were devoid of any separate green focus, and we considered it likely that IPa is preferentially projecting to the red injection site. The foci in both IPa and TEa were partly composed of isolated fields of green or red neurons; but for about half their extent, green and red neurons were intermixed, and there were also some DL neurons. The TEa and TEm foci in M2 also included silver neurons (Table 2).
In some tissue sections, there was a clear side-by-side arrangement of red vs. green neurons (see Fig. 3, sections b and c). A definite topography was hard to establish, however, owing to the high degree of curvature in the STS and the complicated shapes of the individual areas.
Intraparietal Sulcus
In all 3 cases, labeled neurons occurred in the lower bank of the IPS. The projection focus was relatively delimited (shown only for M2 in Fig. 7 panel d; IPS of M3 is shown in Supplementary Fig. 5). In M1, with posterior and lateral injection sites, only a very few neurons were detected (estimated n = 20–50, adjusting for the 200-μm interval between scored sections), and for this reason strict quantification was not carried out in this brain. We identified the focus as probably being in the anterior portion of the lateral intraparietal area (aLIP) in M1.
The anterior injections in M2 and the posterior and medial injections in M3 produced more neurons, in what is probably aLIP and posterior anterior intraparietal area (AIP). The foci extended for 1.5–2.0 mm, in the lateral one-third of the IPS. In M2, the focus consisted of intermingled red and green neurons, and a few DL neurons. Some topographic organization was evident, such that at posterior levels, red was dominant (24 red vs. 8 green cells in section 219), but more anteriorly, green dominated (38 green vs. 12 red, sections 215, 211). Red neurons tended to occur deeper in the sulcus. Similarly, in M3, there was some topographic organization, with red cells located more anteriorly than green cells (Supplementary Fig. 5). These topographic trends reflect the relative disposition of the injection sites in both brains.
Prefrontal Cortex
All 3 brains had labeled neurons in the PFC (Fig. 7). Projection foci were relatively small (0.5 mm wide × 0.5–1.5 mm AP), but overall larger than the labeling in the IPS, in terms of extent and numbers of neurons. Foci consisted of intermixed neurons projecting to each injection site. DL neurons were apparent, as well as some triple-labeled neurons in M2 (Figs 7, 8).
Three distinct patches could be distinguished. These corresponded to 3 AP levels (respectively, a, b, and c in Fig. 7): 1) the anterior sector of the ventrolateral PFC (subdivisions of area 12), 2) the prearcuate convexity close to the IAS (area 45A, or the border of 45A and 46), and 3) the anterior bank of the IAS (areas 8/FEF and 45B). Possibly because of the gyral distortions in this region, there was no clear indication of topographic organization. In area 12, however, the labeling in M1 and M3 (with posterior injections) was concentrated laterally (12l), whereas the labeling in M2 (anterior injections) was situated more medially (12o). In both M2 and M3, labeling was anterior in area 12r.
Quantitative Analysis
For M1 and M2, quantitative analysis of the labeling in the occipital and temporal cortex was carried out (Table 2). For both brains, about the same total number of neurons were scored: 27 546 (M1) and 27 786 (M2). In M2, the percentage of red and green neurons was about equal (43% red, 50% green); but in M1, the percentage of green neurons was higher (74% green; 21% red). This was a consequence of a larger portion of tissue (containing red neurons) being contained in the anterior, tangential block. The proportion of red and green neurons showed considerable variability, when subtotals were calculated by area. This was most clear for the STS (see IPa, TEa, TEm). Interestingly, area IPa in both brains had a higher number of red neurons and smaller number of green. Even in the regions of densest label, less than 50% of the neurons were labeled, as estimated by comparison with adjacent Nissl stained sections.
In the PFC for all 3 cases, a quantitative analysis was carried out (Table 3). In the anterior bank of the inferior arcuate sulcus (areas 8/FEF and 45B) of both M1 and M2 (but not M3), the number of red neurons exceeded that of green (i.e., same bias as for IPa). As the red injections in these 2 cases were both in TEpd, just anterior to PMTS, there may be a preferential connectivity between the inferior arcuate sulcus and this cortex, but this needs confirmation with a larger sample size. In 12l in M3, but not the other 2 brains, the number of red and green neurons was close to parity.
Double-labeled Cells
Calculated as a proportion of the total number, in aggregate, of red and green neurons, the proportion of DL neurons was low: 4.6% and 2% (of the red/green population) in M1 and M2, respectively. In some areas, however, the percentage of DL cells, was higher; namely, for IPa in the STS (6.5% and 5.9% DL red/green neurons in M1 and M2, respectively), and consistently about 7% of total neurons in the middle focus in PFC (45A/46 in M1 and M2, 45A/12l in M3). When recalculated as a separate proportion of red or green neurons, the percentage of DL neurons became significantly higher (see Table 2–3).
As described above, small foci of intermixed red, green, and DL neurons were identified in the posterior visual areas. In these “hotspots,” the number of red and green neurons were closer to parity, and the percentage of DL neurons tended to be higher, especially for the supragranular layers. Calculated as percentage of total number of labeled neurons, for 9 out of 11 identified hotspots, DL neurons commonly comprised 5–13% of the total number (Table 4). The number of DL neurons was smaller in the infragranular layers (6, 49, 0, 28, and 1 for Spots A–E in M1; and <11 for Spots A–E in M2).
Table 4.
M1 | ||||||
Supragranular | Spot A | Spot B | Spot C | Spot D | Spot E | |
Green | 54 | 670 | 19 | 394 | 172 | |
Red | 30 | 477 | 13 | 175 | 93 | |
DL | 5 | 146 | 2 | 87 | 32 | |
Tot | 89 | 1293 | 34 | 656 | 297 | |
%DL/tot | 5.6% | 11.3% | 5.9% | 13.3% | 10.8% | |
%DL/g | 8.5% | 17.9% | 9.5% | 18.1% | 15.7% | |
%DL/r | 14.3% | 23.4% | 13.3% | 33.2% | 25.6% | |
Infragranular | ||||||
Green | 13 | 244 | 15 | 140 | 45 | |
Red | 7 | 119 | 1 | 71 | 7 | |
DL | 6 | 49 | 0 | 28 | 1 | |
Tot | 26 | 412 | 16 | 239 | 53 | |
M2 | ||||||
Supragranular | Spot A | Spot B | Spot C | Spot D | Spot E | Spot F |
Green | 45 | 28 | 299 | 213 | 89 | 73 |
Red | 55 | 72 | 269 | 170 | 185 | 186 |
DL | 5 | 2 | 53 | 8 | 15 | 17 |
Tot | 105 | 102 | 621 | 391 | 289 | 276 |
%DL/tot | 4.8% | 2.0% | 8.5% | 2.0% | 5.2% | 6.2% |
%DL/g | 10.0% | 6.7% | 15.1% | 3.6% | 14.4% | 18.9% |
%DL/r | 8.3% | 2.7% | 16.5% | 4.5% | 7.5% | 8.4% |
Infragranular | ||||||
Green | n.c. | 3 | 99 | 90 | 25 | 21 |
Red | n.c. | 6 | 146 | 123 | 64 | 93 |
DL | n.c. | 0 | 11 | 0 | 1 | 2 |
Tot | 9 | 256 | 213 | 90 | 116 |
Note: n.c. = not counted, because of sulcal distortion. Conventions as in Table 2.
The difference between hotspot and the adjacent neighboring cortex was quantitatively assayed using 3 criteria: 1) co-occurrence of red and green neurons; 2) balance of red and green cells (ratio of secondary/primary color ≥0.4); 3) presence of DL cells (≥6%) (Supplementary Tables and Supplementary Fig. 4).
Layers
In area V4, neurons were predominantly located in the supragranular layers; but in all the other areas, the distribution was bilaminar. Notably, in the infragranular layers, neurons were distributed in both layers 5 and 6. A bilaminar distribution of projection neurons has been consistently reported from afferent connections after injections in TE or other association cortices (e.g., Morel and Bullier 1990; Baizer et al. 1991; Suzuki and Amaral 1994; Felleman et al. 1997; Saleem et al. 2000).
Other
As a gauge of the quality of label and size of injection sites, we examined label in several other structures. In all the 3 cases in the claustrum, there were abundant red- and green-labeled neurons (because of background in M2 and M3 silver neurons were not clearly visible in the subcortical structures). These formed 3–4 clusters, in approximately the same location in the ventral claustrum. Some DL neurons were found, but only a few (<5%). In the pulvinar, dense labeling occurred at posterior levels. This consisted of cells grouped in multiple, spatially separate clusters. Clusters were embedded in a wider field of scattered neurons. Only occasional DL cells could be found.
Discussion
Previous retrograde tracer experiments have described cortical projections to area TE from posterior unimodal visual areas (V4, TEO, and TEp); areas in the STS, IPS, PFC, and perirhinal and temporal polar cortex (Morel and Bullier 1990; Baizer et al. 1991; Webster et al. 1991, 1994; Martin-Elkins and Horel 1992; Suzuki and Amaral 1994; Saleem and Tanaka 1996; Saleem et al. 2000, 2008; and anterograde, Lavenex et al. 2002). Our results are consistent with these findings, and provide further information about the finer organization of this network. In particular, the small injections of multiple tracers reveal connectivity features that are both modular and distributed. These results, although based on a small sample size (3 monkeys), lay the groundwork for continued work with small injections in physiologically pretargeted domains, characterized in relation to face- or object-selectivity.
Previous anterograde tracer experiments of connections from TEO to TE revealed extensive axonal branching and multiple arbors in TE (Saleem et al. 1993). These findings are consistent with the occurrence of DL neurons. At least some single-labeled neurons, as discussed below, are also likely to have branched collaterals, but in this case, the collaterals are directed to one injected site and other, noninjected sites.
Convergence of Inputs
After large injections of retrograde tracers, earlier investigations reported a very widespread field of projection neurons in posterior visual areas (Morel and Bullier 1990; Baizer et al. 1991; Webster et al. 1991). The apparently large size of the projection fields, however, could have resulted from the injections involving multiple areas, in the adjoining STS and/or within area TE itself. This possibility now seems less likely, because comparably large fields resulted from the small injections used in the present experiments. The convergence from unimodal visual areas is slightly greater than what has been reported for V4 inputs to posterior TE (PITv), where retrogradely labeled neurons formed multiple clusters extending 2–3 mm dorso-ventrally and 1–3 mm AP in V4 (Felleman et al. 1997). A high degree of input convergence, as noted in Felleman et al. (1997), may be related to progressive increase in receptive field size and/or to mechanisms underlying attentional shifts across the visual scene.
Projection foci in the IPS and PFC were conspicuously smaller, about 0.5 mm wide and 1.0–3.0 mm in extent. This could be simply because areas in frontal and parietal cortex are themselves smaller. Alternatively, the smaller size may indicate functional differences in the types of connections. That is, both parietal and frontal connections to IT cortex have been categorized as “top-down,” and these associational operations (as opposed to sensory, “bottom-up”) may use a different spatial organization of projecting neurons.
Modular and Distributed
Recent fMRI studies in monkey have provided evidence for largely self-contained modular networks specialized for color or face processing (Conway et al. 2007; Moeller et al. 2008). In the present experiments, we ascertained from optical imaging, with electrophysiological corroboration, that our injections corresponded to regions responsive to objects or to body-including-faces of animals and humans, but not specifically to face or color stimuli (Supplementary Figs 1 and 2). The resulting projections, we are proposing, have features of both a modular and distributed network.
All our injections resulted in multiple projection foci. These are reminiscent of 4 patches, activated by face stimuli in fMRI experiments, recently reported in areas likely to correspond to TEO, TE, and the STS (Tsao et al. 2008). In this respect, the input architecture is generally “modular”. Each large projection patch, however, contains scattered neurons labeled from a different injection (i.e., a few red neurons in a green field, and vice versa). These would be missed in an fMRI experiment. Moreover, even in the densest fields of labeled neurons, only about 50% of the neurons were labeled. The intermixed, nonlabeled neurons could project to a different target (i.e., callosal connections) or to another, noninjected region within TE. Both these observations suggest some degree of intermixed, heterogeneous projection populations, and that would be more compatible with distributed processing.
Another proposal, consistent with our results, is that specifically face-selective patches are “embedded” in a large region of object-selective cortex (Tsao et al. 2003). Experiments at single cell anatomical resolution might resolve the debate, especially if combined with activity related functional markers (Luo et al. 2008).
Patches of face-selective neurons have been reported in macaque frontal lobe (Scalaidhe et al. 1999; Tsao et al. 2008). We note that all our injections (judged to be in object-related, not face-selective patches) resulted in 3 distinct projection foci in PFC; but a spatial match between the fMRI activations and our projection patches was suggested only for the patches identified as prefrontal arcuate (PA) and prefrontal lateral (PL) in fMRI (compare levels c and a, respectively, in Fig. 7). The orbital patch observed in fMRI had no equivalent in our results (but see Saleem et al. 2008), and our anterior patch, in 12r and 12o, seemed not to have any face-selective equivalent in the fMRI data.
Hotspots and Divergence
From axon reconstructions after injections of anterograde tracers in TEO, we know that terminations in TE often have multiple divergent arbors, separated by several mm (Fig. 7 in Saleem et al. 1993; Imura and Rockland 2005). This configuration would be expected to result in some neurons DL by the spatially separate injections. Perhaps more surprising are the scattered neurons within a projection focus to one injection, that project to a different injection, almost as if at random, or at least not according to any clear organization. These might be a subpopulation with single terminations directed to targets different from that of neighboring neurons in the same projection focus. Alternatively, they might have collateral terminations, but to other, noninjected sites in TE.
Also surprising, the use of multiple tracers revealed small patches (“hotspots”) where the number of neurons projecting to different, spaced injections was more equal, and which often included DL neurons branching to both injections. A simple, technical explanation might be that these hotspots reflect overlap zones of the injection sites. This seems unlikely for several reasons. 1) With the exception of the green and silver injections in M3, the injection site haloes by visual inspection were clearly separated by at least 1.0 mm. 2) In the case of the 2 partially overlapping injections in M3, the number of DL neurons was consistently higher than in the hotspots. 3) DL neurons resulted from the red and silver injections in M2, which had the greatest spatial separation. 4) DL neurons occurred scattered outside hotspots.
Thus, another explanation is that hotspots are clusters where at least some neurons have a large number of branched collaterals. They may represent collections of neurons that preferentially project—by single arbors or by branched collaterals—to the particular sites injected in these cases. This raises the possibility of a complicated combinatorics of terminations, where neighboring neurons may have divergent, partially divergent, or convergent terminations onto the same postsynaptic domain (or column).
In IPS and PFC, the projection foci were smaller. This factor alone may have masked any comparable “hotspots.” As it is, these foci as a whole were characterized by intermixing of neurons projecting to the different injections, along with DL neurons. If, as we are proposing, this organization is tightly related to axon collateral branching, then a corollary suggestion is that a high degree of divergent branching is a feature specific to association cortex. Further, we might speculate that “hotspots” within the posterior, unimodal visual areas are clusters of neurons with a functional architecture (divergence?) similar to that of a higher order association cortex.
In summary, our results suggest a complex connectivity network projecting to small domains within TE, with features that are both modular and distributed. Axon divergence may favor a distributed architecture, but more information is necessary concerning input convergence, specificity of postsynaptic targets, and physiological selectivity of the injection sites. Another question is to what degree intrinsic and extrinsic connections are organized according to similar principles. Anterograde tracing experiments have demonstrated a system of patchy intrinsic connections within TE (Fujita and Fujita 1996; Tanigawa et al. 2005), which, from investigations of intrinsic connections in other areas (e.g., Gilbert and Wiesel 1983), is derived from an extensive system of collaterals. How these relate to functional domains in TE remains a complex issue (Tanigawa et al. 2004).
Supplementary Material
Supplementary material can be found at: http://www.cercor.oxfordjournals.org/
Funding
RIKEN Brain Science Institute; and Grant-in-Aid for Scientific Research on Priority Areas “System study on higher order brain functions” and “Elucidation of neural network function in the brain” from the Ministry of Education, Culture, Sports, Science and Technology of Japan to N.I. (grant number: 18020032; 18500270).
Supplementary Material
Acknowledgments
We would like to thank H. Mashiko, Y. Abe, and D. Potapov for expert histological assistance, and J. Hyde for the help in figure preparation.
Conflict of Interest: None declared.
References
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