Abstract
The organization of the inhibitory intercalated cell masses (IM) of the primate amygdala is largely unknown despite their key role in emotional processes. We studied the structural, topographic, neurochemical and intrinsic connectional features of IM neurons in the rhesus monkey brain. We found that the intercalated neurons are not confined to discrete cell clusters, but form a neuronal net that is interposed between the basal nuclei and extends to the dorsally-located anterior, central, and medial nuclei of the amygdala. Unlike the IM in rodents, which are prominent in the anterior half of the amygdala, the primate inhibitory net stretched throughout the antero-posterior axis of the amygdala, and was most prominent in the central and posterior extent of the amygdala. There were two morphologic types of intercalated neurons: spiny and aspiny. Spiny neurons were the most abundant; their somata were small or medium size, round or elongated, and their dendritic trees were round or bipolar, depending on location. The aspiny neurons were on average slightly larger and had varicose dendrites with no spines. There were three non-overlapping neurochemical populations of IM neurons, in descending order of abundance: 1. Spiny neurons that were positive for the striatal associated dopamine- and cAMP-regulated phosphoprotein (DARPP-32+); 2. Aspiny neurons that expressed the calcium-binding protein calbindin (CB); and 3. Aspiny neurons that expressed nitric oxide synthase (NOS+). The unique combinations of structural and neurochemical features of the three classes of IM neurons suggest different physiological properties and function. The three types of IM neurons were intermingled and likely interconnected in distinct ways, and were innervated by intrinsic neurons within the amygdala, or by external sources, in pathways that underlie fear conditioning and anxiety.
Keywords: emotion, inhibition, connectivity, quantitative anatomy, medium spiny, anxiety
Graphical Abstract
INTRODUCTION
The amygdala is a central node in the brain’s emotional system, involved in aspects of affective learning, memory and response generation (Phelps, 2006, Murray, 2007, Pessoa, 2008, Morrison and Salzman, 2010, Pape and Pare, 2010, Pessoa and Adolphs, 2010, John et al., 2013, Paz and Pare, 2013, Lalumiere, 2014). The amygdala has also been implicated in pathological states including neuropsychiatric disorders and drug addiction (Heimer, 2003, Phillips et al., 2003, Quirk and Gehlert, 2003, Shin et al., 2006, Murray et al., 2011, Tye et al., 2011, Maren et al., 2013, Likhtik and Paz, 2015).
Diverse amygdalar functions and dysfunction have been linked to three functional groups of nuclei that have specialized connectivity patterns, each associated with distinct networks (De Olmos et al., 1985, De Olmos, 1990, De Olmos and Heimer, 1999, Sah et al., 2003, Waclaw et al., 2010, John et al., 2013): (1) a large group consists of nuclei connected with the cerebral cortex and includes the cortical nuclei (Co), and the basal amygdala (BA), which is further subdivided into the basolateral (BL), basomedial (BM, also known as accessory basal) and lateral (La) nuclei; (2) nuclei with neurons that resemble striatal neurons, consisting of the central (Ce) and medial (Me) nuclei, which innervate hypothalamic and brainstem autonomic centers; (3) and the intercalated nuclei, islands, clusters, or masses (IM), which consist of inhibitory neurons that are interposed between the other two major groups of amygdalar nuclei.
The amygdala is enriched with a large variety of local inhibitory neurons, some of which resemble cortical inhibitory neurons, and others, like the IM, which are striatal-like. Cortical-like inhibitory interneurons are found in the basal, lateral and cortical nuclei, as well as the amygdalohippocampal area, and resemble GABAergic neurons of the cortex, based on similar firing patterns, neurochemical markers and synaptic specificity with dendritic, somatic, or axonal elements of nearby pyramidal neurons [reviewed in (Capogna, 2014)]. Striatal-like inhibitory neurons are found primarily in IM, Ce, Me, and Co and morphologically resemble medium-sized spiny striatal neurons (Millhouse, 1986, De Olmos, 1990, Urban and Yilmazer-Hanke, 1999, Marcellino et al., 2012). The diversity of inhibitory neurons suggests that inhibition is a critical regulator of activity in the amygdala (Quirk and Gehlert, 2003, Pape, 2005, Duvarci and Pare, 2014, Wolff et al., 2014) that likely accounts for the low spontaneous firing rates of neurons in the lateral and central nuclei [reviewed in (Pare et al., 2003, Quirk and Gehlert, 2003, Pape, 2005)]. Interfering with normal inhibition in the amygdala can lead to elevated local activity, which is associated with anxiety-related behaviors and disruption of fear extinction [reviewed in (Quirk and Gehlert, 2003)]. It is therefore crucial to understand key groups of neurons that facilitate inhibitory regulation in the amygdala.
The inhibitory IM neurons play a central role in the regulation of the activity of the amygdala. Several studies have pointed to the unique positioning of IM neurons, their inhibitory nature and complex connectivity patterns, and have demonstrated their central role in circuits involved in fear conditioning, extinction, complex emotional processes and anxiety (Royer et al., 1999, Pare et al., 2004, Likhtik et al., 2008, Busti et al., 2011, Palomares-Castillo et al., 2012). As key nodes of these circuits, IM neurons receive direct excitatory input from the cortex, thalamus, and basal and lateral amygdalar nuclei (Millhouse, 1986, Ghashghaei and Barbas, 2002, Amano et al., 2010, Barbas et al., 2011, Marcellino et al., 2012, Pinard et al., 2012, Asede et al., 2015, Strobel et al., 2015). In turn, IM neurons send inhibitory projections to other IM neurons, and to the output of the amygdala, including the basal (BM, BL), lateral (La), and the inhibitory central (Ce) and medial (Me) nuclei, modulating emotional responses (Millhouse, 1986, Pare and Smith, 1993, Royer et al., 2000b, Amano et al., 2010, Manko et al., 2011).
Most detailed accounts of IM nuclei in the literature are in rodents (De Olmos et al., 1985, Millhouse, 1986, Manko et al., 2011, Marcellino et al., 2012). The organization of the IM nuclei in primates is largely unexplored, and limited to reports highlighting their considerable variability in morphology, numbers and density (Crosby and Humphrey, 1941, Stephan and Andy, 1977, De Olmos, 1990, Urban and Yilmazer-Hanke, 1999, Carlo et al., 2010). To address this issue, we studied the structural and neurochemical features of histochemically- and immunohistochemically-labeled IM neurons in the rhesus monkey brain, and mapped their distribution quantitatively. In addition, we examined the ultrastructural and neurochemical features of synapses in the IM neuropil to investigate the innervation of IM neurons by excitatory and inhibitory inputs. Our results highlight important features of inhibitory IM neurons and their circuits in a primate species and suggest novel mechanisms that may underlie their unique functional specialization in processing emotions and learning.
EXPERIMENTAL PROCEDURES
We used brain tissue from sixteen male and female rhesus monkeys (Macaca mulatta, ages ranging from 2.5–4 years). We double and triple immunolabeled coronal sections through the primate amygdala (Figure 1), to co-visualize markers of inhibitory neurons, including gamma-Aminobutyric acid (GABA) or L-glutamic acid decarboxylase 67 (GAD67) with nitric oxide synthase (NOS) or β-nicotinamide adenine dinucleotide phosphate diaphorase (NADPHd), calcium-binding proteins calbindin (CB), calretinin (CR), or parvalbumin (PV), and dopamine and cAMP-regulated phosphoprotein (DARPP-32). We also mapped nuclei in the amygdala and stereologically quantified the number and density of IM neurons using Nissl-stained sections or markers of inhibitory neurons. We used 3D-analysis and reconstruction to study the distribution of distinct types of inhibitory neurons at the light and confocal microscope, and 3D-serial electron microscopy (EM) to study synaptic features in IM.
Animals and tissue preparation
Animals were obtained through the New England Primate Research Center (1 Pinehill Rd, Southborough, MA 01772). Procedures were designed to minimize animal suffering and to reduce the number of animals used. As a result, all animals used in this study were also used in other, unrelated tract-tracing studies. Detailed protocols of the procedures were approved by the Institutional Animal Care and Use Committee at Harvard Medical School and Boston University School of Medicine in accordance with NIH guidelines (DHEW Publication no. [NIH] 80-22, revised 1996, Office of Science and Health Reports, DRR/NIH, Bethesda, MD, USA).
For transcardial perfusion animals were deeply anesthetized with a lethal dose of sodium pentobarbital (>50 mg/kg, intravenous, to effect) according to one of the following protocols. One group of animals (n=3) was transcardially perfused with saline followed by 4% (n=1) or 6% (n=2) paraformaldehyde in cacodylate buffer (0.1 M at pH 7.4) and postfixed in a solution of 4% or 6% paraformaldehyde in glycerol phosphate buffer [10% glycerol and 2% dimethyl sulfoxide (DMSO) in PB 0.1 M at pH 7.4]. The rest of the animals (n=13) were transcardially perfused with saline followed by 4% paraformaldehyde in PB (0.1 M at pH 7.4); for a subset from this group (n=7) the fixative also included 0.2% glutaraldehyde, needed for electron microscopic study.
After removal from the skull brains were photographed, cryoprotected in a series of sucrose solutions (10–30% in 0.01 M PBS) and frozen in −75°C isopentane (Fisher Scientific, Pittsburg, PA, USA) for rapid and uniform freezing (Rosene et al., 1986). Brains were cut in the coronal plane on a freezing microtome at 40 or 50 µm to produce ten matched series. To preserve the ultrastructure, the rest of the tissue was stored until processing in −20°C in anti-freeze solution (30% ethylene glycol, 30% glycerol, 40% 0.05 M PB, pH 7.4 with 0.05% azide).
Histochemistry, histo-enzymatic staining, and immunohistochemistry
To delineate the borders of the nuclei of the amygdala we stained adjacent series of sections for Nissl, using either thionin or cresyl violet (cases AJ, AN, AQ, AW, BC, BO), and myelin (cases AJ, AN, AQ, AW) or acetylcholinesterase (AChE; cases AJ, AN, AQ, AW), as described previously (Barbas and De Olmos, 1990). For Nissl staining, sections were mounted on chrome-alum coated slides, dried, defatted in a 1:1 solution of chloroform and 100% ethanol for 1 hour, rehydrated through a series of graded alcohols and distilled water, stained with 0.05% thionin (pH 4.5) or 0.1% cresyl violet (pH 3.8) for 3–15 min and differentiated through graded alcohols and xylenes. Sections were coverslipped with mounting media (Permount, Fisher Scientific, Pittsburg, PA, USA; or Entellan, Electron Microscopy Sciences, Hatfield, PA, USA).
We stained myelin using the Gallyas silver stain. Briefly, sections were rinsed in distilled water and then incubated in a solution of pyridine (2/3; P368-1 Fischer Scientific) and glacial acetic acid (1/3; ARK2183 Sigma-Aldrich) for 30 minutes at room temperature. Sections were washed again in distilled water followed by incubation in the impregnation solution for a minimum of 30 minutes at room temperature in the dark. Impregnation solution consisted of 0.1 g ammonium nitrate (A7455 Sigma-Aldrich) and 0.1 g silver nitrate (S181-25 Fischer Scientific) per 100 ml of distilled water; the pH of the solution was adjusted with 0.1M sodium hydroxide (CAS 1: 1310-73-2 Fischer Scientific) to obtain pH 7.5. After rinses in 0.5% acetic acid (A6283 Sigma-Aldrich) sections were incubated in the developing solution under microscopic control until the proper level of stain was achieved. The developing solution was a mix of the following three solutions (each dissolved in 500 ml of distilled water): A, 25 g sodium carbonate (S-263 Fischer Scientific); B, 1 g ammonium nitrate (A7455 Sigma-Aldrich), 1 g silver nitrate (S181-25 Fischer Scientific) and 5 g silico-tungstic acid (383341 Sigma-Aldrich); C, 75 ml of solution B and 1.75 ml of 4% paraformaldehyde (O4042 Fischer Scientific). The incubation solution was made by mixing 150 ml of solution A, 75 ml of solution B and 75 ml of solution C in that order. After developing, the sections were washed in 1% acetic acid (A6283 Sigma-Aldrich) and then in distilled water followed by incubation in 5% sodium thiosulfate (S-1648 Sigma-Aldrich) to stabilize the reaction. Sections were finally washed in distilled water and mounted in PB 0.1M, pH 7.4.
For AChE staining we rinsed sections in distilled water and then incubated them overnight at 4°C in the dark in a solution prepared from the combination of the following five compounds (each dissolved in 200 ml of distilled water): 72 mg ethopropazine hydrochloride (E5406 Sigma-Aldrich, St. Louis, MO), 1.156 mg acetylthiocholine iodide (A5751 Sigma-Aldrich), 750 mg of glycine (BP381 Fischer Scientific, Fair Lawn, NJ), 500 mg of cupric sulfate (C-493 Fischer Scientific) and 6.8 mg of sodium acetate (S-209 Fischer Scientific). The pH was adjusted with acetic acid (A6283, Sigma-Aldrich) to reach pH 5.0. Sections were then rinsed 6 times in distilled water followed by incubation for 2 minutes at room temperature in the dark in sodium sulfide solution [19.2 g of sodium sulfide (407410 Sigma-Aldrich) in 450 ml of 0.1N HCL; pH was adjusted with 10N HCL (7647-01-0 Fischer Scientific) to pH 7.8 and the final solution was made by adding 500 ml of distilled water]. Sections were then rinsed in distilled water and developed in silver nitrate solution [5 g of silver nitrate (S181-25 Fischer Scientific) in 500 ml of distilled water] for 2 minutes at room temperature in the dark until the proper level of stain was achieved. Finally, sections were rinsed in distilled water and then in 0.1M PB pH7.4 and mounted on gelatin coated slides.
We stained sections for NADPHd (cases AN, AQ), which is a good marker for NOS in the mammalian central nervous system (Hope et al., 1991, Hashikawa et al., 1994). We stained free floating sections containing the amygdala, as described (Dombrowski and Barbas, 1996). Free-floating sections were washed in 0.1 M Tris-HCl buffer (pH 7.4, 37°C), incubated at 40°C in the same buffer containing 0.8 mM β-nicotinamide adenine dinucleotide phosphate, reduced form (NADPH, Sigma-Aldrich N-1630), 0.8 mM Nitro Blue Tetrazolium (Sigma-Aldrich N-6876), 0.1% Triton-X and 0.16% malic acid for 60–90 min in constant agitation. Sections were washed in 0.1 M Tris-HCl buffer, mounted in gelatin coated slides, dried, counterstained with 1% Neutral Red solution, dehydrated, cleared and coverslipped with Permount (Fisher Scientific).
For immunoperoxidase histochemistry, free-floating sections were rinsed in 0.01M PBS, incubated in 0.05 M glycine, pre-blocked in 10% normal goat serum (NGS) and 5% bovine serum albumin (BSA) with 0.2% Triton-X for 1 h and incubated overnight in primary antibody against GABA (rabbit anti-GABA, diluted 1:1,000; ImmunoStar, or mouse anti-GABA, diluted 1:100, Sigma-Aldrich; cases BK, BO), GAD67 (mouse anti-GAD67, diluted 1:200, Millipore, Billerica MA USA; cases AW, BK), neuronal nuclear antigen (NeuN, mouse anti-NeuN, diluted 1:200, Millipore; cases BB, BD), dopamine- and cAMP-regulated phosphoprotein, of Mr 32,000 (DARPP-32, mouse anti-DARPP-32, diluted 1:30,000, generous gift from Drs. Paul Greengard and Jean-Antoine Girault; cases AJ, AL, AN, AQ, BK, BL, BN, BR), nitric oxide synthase (NOS, mouse anti-nNOS, diluted 1:400, BD Transduction Labs, San Jose CA, or rabbit anti-nNOS, diluted 1:400, Millipore; cases BI, BL, BN, BR), dopamine receptor 1 (D1, rat anti-D1, diluted 1:800, Sigma-Aldrich; case BR), and the calcium binding proteins parvalbumin (PV, mouse anti-PV, diluted 1:2,000, Swant Antibodies, Switzerland; cases AZ, BK), calbindin (CB, mouse anti-CB or rabbit anti-CB, diluted 1:2,000, Swant Antibodies, Switzerland; cases AX, AZ, BB, BC, BI, BK, BL, BN, BR) and calretinin (CR, mouse anti-CR or rabbit anti-CR, diluted 1:2,000, Swant Antibodies, Switzerland; case BK). Sections were then rinsed in PBS and incubated for 4 h in secondary biotinylated goat anti-mouse IgG or anti-rat IgG or mouse anti-rabbit IgG (1:200, in PBS, 1% NGS, 1% BSA, 0.1% Triton-X, Vector Laboratories, Burlingame, CA, USA), followed by 1 h in an avidin-biotin horseradish peroxidase complex (AB-HRP kit; Vectastain PK-6100 ABC Elite kit, Vector Laboratories, Burlingame, CA, USA; diluted 1:100 in 0.01M PBS with 0.1% Triton X-100). Sections were rinsed and processed for 2–3 min for the peroxidase-catalyzed polymerization of diaminobenzidine (DAB; DAB kit, Vector Laboratories or Zymed Laboratories Inc., South San Francisco, CA, USA; 0.05% DAB, and 0.004% H2O2 in PBS).
For double immunofluorescence experiments, sections were co-incubated, overnight with two primary antibodies against GABA, GAD67, DARPP-32, CB, CR, NOS, or D1 raised in different species (mouse, monoclonal and rabbit, polyclonal). In one set of experiments sections were co-incubated with antibodies against GABA or GAD67 and CB, or NOS, or DARPP-32, in order to identify the distinct neurochemical identity of IM neurons. In another set of experiments sections were co-incubated with CB and NOS or DARPP-32 or CR, NOS with DARPP-32, and DARPP-32 with CR to identify potential overlap in the IM neuronal subpopulations. Finally, some sections were co-incubated with an antibody against D1 receptors and CB or NOS or DARPP-32, in order to detect potential receptor specificity or similarity among neurochemically distinct IM neurons. Buffer rinses were followed by incubation in fluorescent secondary antibodies (Alexa 488, Alexa 568, or Alexa 647; 1:200, in PBS, 0.1% BSA-C, 0.1% Triton-X, Molecular Probes, Eugene OR). Sections were mounted wet and coverslipped with ProLong Gold Antifade (Invitrogen, Grand Island, NY).
With the exception of the D1 receptor antibody that stained only the cytoplasm of labeled cells, all other antibodies stained the nucleus and cytoplasm. This was the case both for brightfield experiments stained with DAB and fluorescence experiments stained with Alexa fluorophores. Labeled neuronal profiles always had staining in the cytoplasm and in most cases dendritic or axonal processes were partially visible at high magnification.
Pre-embedding immunohistochemistry and processing for electron microscopy
Double and triple immunohistochemical methods were used to label NOS, CB and DARPP-32 in cases BI, BL and BN. Neurons were labeled either with silver-enhanced gold conjugated secondary antibodies, DAB or tetramethylbenzidine (TMB), as described previously (Zikopoulos and Barbas, 2007, Medalla and Barbas, 2009, Timbie and Barbas, 2014, 2015). The three stains show distinct labeling at the EM: DAB appears as a dark uniform precipitate, silver-enhanced gold particles appear as circular clumps of variable size, and TMB as rod-shaped crystals. Sections were incubated overnight in the appropriate combination of primary antibodies raised in different species (mouse, monoclonal and rabbit, polyclonal: NOS, and/or CB, and/or DARPP-32, as described above). For triple labeling experiments we used a combination of two mouse monoclonal primary antibodies for NOS and DARPP-32 and a rabbit polyclonal for CB, processed successively, using the Mouse-on-Mouse blocking kit (M.O.M. basic kit; Vector Laboratories) in between to prevent cross-reaction (Zikopoulos and Barbas, 2007, Medalla and Barbas, 2009, Timbie and Barbas, 2014, 2015). To preserve tissue integrity we used reduced concentration of Triton-X in all EM experiments (0.025%). To ensure adequate penetration of antibody reagents in the tissue we incubated tissue sections in a variable wattage microwave oven (8 min at 150 W in the Biowave; Ted Pella, Redding, CA, USA). Sections were then incubated overnight in the appropriate secondary gold-conjugated IgG (1:50, 1 nm gold particle diameter; GE Healthcare, Westborough MA) and in another secondary biotinylated antibody (anti-mouse IgG; 1:200, Vector) followed by AB-HRP. The tissue was postfixed in 6% glutaraldehyde with 2% paraformaldehyde using a variable wattage microwave oven (3–6 min at 150 W in the Biowave; Ted Pella, Redding, CA, USA) until the fixative reached 30°C, and then intensified with silver (6–12 min; IntenSE M kit; GE Healthcare) for labeling gold-conjugated antibodies. Sections were then processed for DAB followed by Avidin-Biotin block (AB block kit, Vector SP 2001). In the case of triple labeling experiments, sections were then incubated with the appropriate third mouse secondary biotinylated antibody, followed by AB-HRP and processed for TMB and stabilized with DAB-cobalt chloride solution, as described (Zikopoulos and Barbas, 2007, Medalla and Barbas, 2009).
In control experiments, we omitted the primary antibodies to test the specificity of secondary antibodies, and used the AB blocking reagent prior to AB binding, or the M.O.M. kit prior to secondary antibody binding. In all control experiments there was no immunohistochemical labeling. In some experiments we reversed the order of precipitation methods and processed DAB staining before gold staining and silver enhancement. Distribution of labeling was overall similar with standard experiments (gold/silver first and then DAB), however, non-specific silver staining was elevated in the reverse experiments, because silver particles were attracted and bound with DAB precipitate.
Tissue sections were mounted on slides and quickly viewed under the light microscope, and images were captured with a CCD camera. Sections were then postfixed in 1% osmium tetroxide with 1.5% potassium ferrocyanide in PB, washed in PB and water, and dehydrated in an ascending series of alcohols (50–100%). While in 70% alcohol, blocks were stained for 30 min with 1% uranyl acetate (EM Sciences). Subsequently, they were infiltrated with propylene oxide and flat embedded in araldite at 60°C. Small blocks of the IM neuropil with NOS, CB and DARPP-32 labeling were cut under a dissecting microscope from the araldite-embedded tissue and re-embedded in resin blocks. Serial ultrathin sections (50 nm) were cut with a diamond knife (Diatome USA, Hatfield, PA, USA) using an ultramicrotome (Ultracut, Leica, Wein, Austria) and collected on single slot pioloform-coated grids.
Data analysis and statistics
Unbiased stereology: light microscopy
We estimated the number and density of neurons and glial cells in IM in Nissl-stained sections (n=3; cases AJ, AW, BO) and GABA-stained sections (n=1; case BO) using the unbiased stereological method of the optical fractionator (Gundersen, 1986, Howard and Reed, 1998) with the aid of a commercial system (StereoInvestigator; MicroBrightField, Inc., Williston VT, USA), as described in previous studies (Barbas et al., 2005, Medalla and Barbas, 2006, Zikopoulos and Barbas, 2006, García-Cabezas and Barbas, 2014). We used cytoplasmic and nuclear features to distinguish neuronal and glial types, as described (García-Cabezas and Barbas, 2014). Briefly, we analyzed a minimum of five evenly spaced brain sections per case using systematic random sampling through IM. The stereological data included volume calculation for IM, which takes into consideration the sampled area and thickness of each section. We used as guard zones the top and bottom of each section (minimum 2 µm) and measured the actual mounted section thickness using the program software at each counting site. The counting frames (squares with sides in the range 50 to 70 µm; height = 5 µm) and grid spacing (squares with sides in the range 150 to 250 µm) were set to employ a fraction to yield a coefficient of error of < 10%, as recommended (Gundersen, 1986, Howard and Reed, 1998). For the sparse microglial cells, the coefficient of error was < 20%, as recommended for the monkey cerebral cortex (Peters et al., 2008). More than 300 cells were counted in each area analyzed per case. We additionally estimated the total number of GABAergic neurons in the amygdala, the relative proportion of IM inhibitory neurons in the amygdala, and the volume of the entire amygdala using the Cavalieri method.
Quantitative mapping: fluorescence microscopy and confocal imaging
We used fluorescence microscopy and confocal imaging to estimate the relative proportions and overlap of CB, NOS, and DARPP-32 IM neurons, through cell profile counts at sites chosen using a systematic, uniform random selection method (sampling fraction per section 1:5; cases BK, BR) and comparing with stereological estimates of the numbers and density of all Nissl- and GABA-stained IM neurons. To image fluorescent signal we used a Revolution dual spinning disk (DSD) white light confocal microscopy system (Andor, Belfast, UK). The DSD system is composed of a white light source (AMH-200-F6S) and a Clara Interline CCD camera attached to an Olympus BX63 microscope with a motorized reflected fluorescence system (model BX3-RFAA) and a motorized stage (model V31XYZE, Prior Scientific, Rockland, MA), controlled by an Olympus BX3-CBH U-MCZ controller box. Stacks of images were captured using a 40× objective (×400 magnification) or a 60× oil immersion objective (×600 magnification; Olympus), with MetaMorph NX software on a Dell Precision T3520 Workstation running Microsoft Windows 7 (32 bit). Filters specific to the wavelength of the distinct fluorophores were used to image separate channels which were captured individually and compiled into composite stacks using Fiji (Schindelin et al., 2012). Stacks were captured at 0.3–0.5 µm z-intervals in the IM neuropil.
3D reconstruction of neuronal populations in IM
To map and plot the distribution of neurochemically distinct IM neuronal subtypes we used exhaustive sampling in a series of sections (10–16 sections; distance between sections: 400–500 µm) from one additional case per marker (CB, NADPHd, DARPP-32, GABA). We outlined brain sections, placed architectonic borders of amygdalar nuclei, and mapped labeled neurons in each case with the aid of a commercial computerized microscope system and motorized stage (Neurolucida; MicroBrightField Inc.). The procedure involves setting a reference point for every brain hemisphere analyzed, and as a result the outlines within a series are automatically registered and aligned to the actual corresponding sections, retaining information about the 3D coordinates of every mark or trace. To compare the topography and distribution of labeled neurons across series or cases and exhibit their overlap in IM, we compared sections from adjacent levels in the amygdala and reconstructed in three dimensions the entire nucleus using the free, open source software Reconstruct (Fiala, 2005), as described previously (Zikopoulos and Barbas, 2006, 2012). Briefly, we imported the outlines containing 3D information about the topography of labeling from each case in Reconstruct and co-registered and aligned them to generate 3D models. As a result, all markers and traces were registered stereotaxically and superimposed on the 3D models. Plots of labeled neurons in IM were exported and compiled into appropriate figures in Adobe Illustrator (Adobe Systems Inc., San José, CA, USA).
3D serial electron microscopy
Serial sectioning of blocks containing IM neuropil produced mini or long series (10–100 sections) that were analyzed using systematic random sampling to image labeled and unlabeled axon terminal profiles and their targets. We followed each bouton and associated postsynaptic targets throughout adjacent serial sections for each synapse and marked profiles as labeled only if clear labeling was present in more than three sections within the series. Background with appearance of non-specific gold staining in our material was overall low, partially because we omitted lead aspartate staining in the protocols. However, because silver-enhanced gold labeling of antigens can produce variable levels of background we used several additional approaches to reliably identify labeled structures, as described previously (Muly et al., 2009, Medalla and Barbas, 2012, Timbie and Barbas, 2014). We avoided sampling from the top and bottom 1 µm of each block, where background tends to be high. We also set a background threshold for each piece of tissue by estimating the size of silver-enhanced gold particles in mitochondria. This was the typical location of non-specific labeling in our experiments, where the size of each particle was less than 15 nm in diameter. Therefore, the size threshold for gold-positive elements was set to diameters larger than 15 nm. We also counted the number of non-specific silver-enhanced gold particles in mitochondria in several series from each experiment, and divided this value by the total volume of mitochondria in that series. Finally, we counted the total number of particles less than the size threshold in one out of every five sections of each series and expressed the background level as the estimated total volume of small particles (number of particles × spherical volume of a single particle 15 nm in diameter) per volume of tissue sampled. Using these estimates we set a stringent threshold for gold-positive elements to five times the density of gold in mitochondria or in other series elements. The relative distribution of specific gold labeling and the relative proportion of non-specific staining remained consistently low in our material, irrespective of possible differences between cases due to potential variation in tissue fixation that may affect antibody penetration and staining.
Images were imported in Reconstruct to mark synapses by type. We used classical criteria to identify synapses and their types as well as other profiles (Peters et al., 1991, Peters and Palay, 1996). Synapses are characterized by the aggregation of synaptic vesicles in the presynaptic bouton, the rigid apposition of the presynaptic and postsynaptic membranes, widening of the extracellular space and the presence of pre- and postsynaptic membrane specializations. Asymmetric synapses (type I) have thickened postsynaptic densities and rounded vesicles; symmetric (type II) synapses have thin postsynaptic densities and pleomorphic vesicles. Dendrites can be spiny, in which case the vast majority of synapses target the spines, or can be smooth or sparsely spiny and receive synapses mostly on their dendritic shafts. Axon terminals are >0.1 µm in diameter and contain synaptic vesicles, and often have mitochondria. Dendritic shafts contain mitochondria, microtubules, and/or rough endoplasmic reticulum, while dendritic spines lack these organelles but may have a membranous sack-like spine apparatus.
Photography
We captured images of labeled cells in the IM at the optical microscope using a CCD camera (Olympus DP70) attached to a microscope (Olympus optical microscope, BX 60) connected to a personal computer using a commercial imaging system (DPController). We captured labeled neuron profiles in the EM using a digital camera (ES1000W, Gatan, Pleasanton, CA, USA) at a magnification of 10,000–50,000X. Images were imported into Adobe Illustrator CS5 software (Adobe Systems Inc., San José, CA, USA) to assemble in figures. Fluorescent images were deconvolved using AutoDeblur (Media Cybernetics, Rockville, MD, USA) or Deconvolution Lab plugin for ImageJ. Minor adjustment of overall brightness and contrast were made but images were not retouched.
RESULTS
Topography and distribution
Inhibitory IM neurons were not confined to isolated cell clusters, as the commonly used name intercalated masses or clusters implies, but instead formed a continuous neuronal net that separates the lateral/basal and to a lesser extent the cortical nuclei from the dorsally-located anterior, central, and medial amygdalar nuclei. In addition, IM neurons and their processes also separated the three nuclei of the basal division of the amygdala (BL, BM, La; Figure 1). The continuity of this inhibitory net was particularly evident in three-dimensional reconstructions of plotted cells stained with Nissl or markers of GABAergic neurons from series of consecutive coronal sections through the rhesus monkey amygdala (Figure 2). The GABAergic intercalated neurons were found in the spaces between the borders of the basal, lateral, cortical, central, medial, and anterior amygdalar nuclei, within sites of fiber bundles that course through the amygdala (Figure 3). Some IM neurons were also found along the borders of the amygdala with the external capsule and the caudate-putamen. Unlike the IM in rodents, which is prominent in the rostral half of the amygdala (Millhouse, 1986), the primate IM appeared to stretch throughout the antero-posterior axis of the amygdala. This is in line with the overall rotation of the amygdala around Ce in primates, likely due to the expansion of neighboring cortical areas.
Density and overall number of neurons in IM
We used stereology for unbiased estimate of the number and density of IM neurons from Nissl-stained tissue sections (3 cases). To control for possible variability due to differential tissue shrinkage we independently estimated the volume of the entire amygdala in a total of six cases (including the three cases used for the Nissl counts), using the Cavalieri method, and found no differences (deviation among cases = 2%; amygdala volume ± SEM = 195 ± 4 mm3). Our findings were within the range reported in other studies (Emery et al., 2001, Chareyron et al., 2011), suggesting that tissue shrinkage was similar among the cases analyzed. Neurons were identified by the presence of stained cytoplasm around the entire perimeter of the nucleus. Large neurons had a large and distinct nucleolus. Small neurons had a less defined nucleolus and several clumps of heterochromatin around the nucleolus, in the nucleoplasm and under the nuclear envelope (García-Cabezas and Barbas, 2014). There were about 445,000 IM neurons in each brain hemisphere (mean number ± SEM: 444,925 ± 92,439), occupying a volume of 18 ± 2 mm3, with an average density of 24,895 ± 2,605 neurons/mm3. The distribution of neurons was anisotropic, with the highest density found in the dorsal strip that separates the basal and lateral from the central nuclei, and two clusters situated between the basal and lateral nuclei (Figure 4). The density in these densely-packed IM clusters was almost three times higher (69,896 neurons/mm3). The localized increase in neuron density of these particular IM segments, gave an overall appearance of cell clumps interconnected with thin neuronal sheets that were more sparsely populated.
The stereological neuron count was also assessed using an antibody against GABA (1 case). The number of GABA-labeled neurons in IM was 473,963 with a density of 21,159 neurons/mm3, in line with the Nissl estimates. Inhibitory IM neurons constituted approximately 17% of all inhibitory neurons in the amygdala.
Density and distribution of glia in IM
We distinguished types of glial cells (Figure 5D–G), as described previously (García-Cabezas and Barbas, 2014), based on classical descriptions (Ramón y Cajal, 1896, 1899/2002, 1913, del Río-Hortega, 1919, 1921, 1928, 1932) and more recent work (Ling et al., 1973, O'Kusky and Colonnier, 1982, Gabbott and Stewart, 1987). Briefly, astrocytes had round or oval nuclei, homogeneous nucleoplasm and several rounded clumps of heterochromatin, some of which were located under the slightly irregular nuclear membrane (Figure 5D–E, green arrowheads). The cytoplasm of astrocytes was not stained with Nissl but in rare occasions we observed pigmented granular inclusions close to the nucleus. Oligodendrocytes had round and darkly stained nuclei, which were usually smaller than the nuclei of astrocytes, with a smooth nuclear membrane and a few clumps of heterochromatin (Figure 5D–G, silhouette arrowheads). Microglia had darkly stained, elongated or polylobular nuclei without visible heterochromatin and cytoplasm; in some cases we observed cytoplasmic granular inclusions close to the nuclear lobules (Figure 5D–G, black arrowheads). The different types of glial cells were also readily recognizable in the EM (Peters et al., 1991).
There were about two times as many glial cells as neurons in IM, most of which were oligodendrocytes (mean density ± SEM: 28,296 ± 6,161), followed by astrocytes (mean density ± SEM: 19,989 ± 2,977) and microglia (mean density ± SEM: 4,497 ± 792). This pattern of distribution is typical in areas between nuclei that are rich in fiber bundles (Figures 3).
Cytology and neurochemistry
Division of IM neurons by dendritic spiny or smooth morphology
There were two types of intercalated neurons: spiny and aspiny (Figure 5A–C). Spiny neurons were the most abundant (mean ± SEM: 63 ± 3%) and had small or medium size somata (mean diameter ± SEM: 13 ± 0.2 µm; diameter range: 7–22 µm). Depending on their location, the cell bodies were round or elongated, and the dendritic trees were round or bipolar. Accordingly, IM neurons located in the narrow corridors between the basal and lateral amygdalar nuclei were more often elongated and bipolar than not, whereas IM neurons located in the larger space under CE were often round and multipolar. The vast majority of the spiny neurons resembled the striatal medium-sized spiny neurons; they had 2–4 primary dendrites enriched with spines. In Nissl-stained sections the nucleus of these neurons appeared round with clumps of darkly stained heterochromatin along the nuclear membrane and the cytoplasm was very thin and lightly stained (Figure 5D–L, orange arrows). Very few of these neurons were large, defined as those exceeding 20 µm in diameter. Large cell bodies were more common among the aspiny neurons (~37%), which were on average slightly larger (mean diameter ± SEM: 16 ± 0.4 µm; diameter range: 10–25 µm) and had varicose dendrites. The nuclei of these neurons appeared round or elongated and in most cases contained one clearly defined nucleolus (Figure 5D–F, H, I, K, black arrows). Large IM neurons did not exceed 5% of the total neuronal population and were distributed throughout the IM. In contrast, small and medium-sized IM neurons often formed discrete densely-packed clusters.
Division of IM neurons into three distinct neurochemical classes
There were three non-overlapping neurochemical populations of IM neurons, in descending order of abundance (Figure 5C, bars): 1. Spiny DARPP-32+ neurons were the most numerous (mean ± SEM: 63 ± 3%). A third of them co-expressed the calcium-binding protein CB (Figure 5C, bar) and few co-expressed CR. Most of these neurons were small or medium-sized and very few were large; 2. Aspiny neurons that expressed the calcium-binding protein CB and in some cases co-expressed CR (mean ± SEM: 23 ± 7%); and 3. Aspiny neurons that expressed NOS or NADPHd (mean ± SEM: 14 ± 2%). Some NOS+ neurons were among the largest IM neurons, exceeding 20 µm in diameter (Figures 5C, 6D, J, K and 7E–H). Interestingly, the three neurochemically-distinct types of IM neurons were intermingled and present throughout the antero-posterior and medio-lateral extent of IM (Figure 6). However, small/medium sized DARPP-32+ IM neurons were often clustered in densely-packed groups (Figures 6C, H and 8), although some appeared isolated, in agreement with previous studies in rhesus monkeys (Barbas et al., 1993). Most CB+ and all NOS+ IM neurons were not packed in clusters but were widely distributed within the IM neuropil and in some cases were positioned around clusters. CR did not label a distinct IM neuron subpopulation, along the spiny vs aspiny, or large vs small neuron groups, as the other three markers (DARPP-32, CB, and NOS), and was not expressed by all CB neurons in IM. There were no PV+ neurons in the rhesus monkey IM. Figures 9 and 10 show examples of multiple labeling of the distinct neurochemical classes of inhibitory neurons in IM.
All IM neurons were GABAergic and expressed D1 dopaminergic receptors (Figures 4D, E, 9A–C and 11). Staining with GABA or NeuN labeled the cell body and nucleus of IM neurons (Figure 4). All amygdalar nuclei contained inhibitory GABAergic neurons that were darkly or lightly stained. In contrast, pyramidal neurons in BL, BM and La had very light, background levels of staining in their cytoplasm, often had pyramidal shape and were larger in size. In most cases pyramidal neuron somata were surrounded by darkly-stained GABAergic axon terminals that formed perineuronal complex basket formations. These formations were previously seen on pyramidal neurons in cortical and amygdalar areas of many species, including monkeys (McDonald and Augustine, 1993) and humans (Marin-Padilla, 1970, Blazquez-Llorca et al., 2010). The D1 receptor antibody stained only the cytoplasm of neurons proximally, giving them a speckled appearance (Figure 11). Other histochemical and immunohistochemical labeling of IM neurons additionally produced moderate to strong staining of their dendritic trees, mostly confined within the regions between other amygdalar nuclei, in areas we designated as IM neuropil (Figures 3, 4, 6, 7, 8).
Synaptic features and interconnectivity within the IM neuropil
We conducted quantitative analysis of synapses in the IM neuropil at very high resolution in the EM after immunohistochemical labeling against DARPP-32, CB, or NOS (Figure 12). This analysis showed that most presynaptic axon terminals that formed synapses on labeled IM neurons were unlabeled (~90%), and most were asymmetric and presumed to be excitatory (~80%). The presynaptic axon terminals forming these asymmetric synapses were unlabeled and contained round vesicles. The post-synaptic sites were labeled spines or dendrites of IM neurons with a dense post-synaptic density (PSD), characteristic of asymmetric, excitatory synapses. The rest of the synapses on labeled IM neurons were symmetric (~20%) and presumed to be inhibitory. The pre-synaptic axon terminals in these synapses contained pleomorphic vesicles and the post-synaptic sites did not have a dense PSD. Interestingly, in our extensive sample of ~1000 synapses, where the post-synaptic site was labeled by one of the three markers (DARPP-32, NOS, CB), we found that 10% of axon terminals were labeled and formed symmetric synapses only with aspiny CB+ and NOS+ IM neurons. We did not find labeled axon terminals forming symmetric synapses on IM neurons labeled with DARPP-32. When NOS+ IM neurons received symmetric synapses from labeled axon terminals they were either DARPP-32+ or NOS+. When CB+ IM neurons received symmetric synapses from labeled axon terminals they were either NOS+ or CB+ (Figure 12).
DISCUSSION
We present novel evidence on the architecture of IM in the primate amygdala. Our quantitative study is the first to highlight important structural and histochemical features of inhibitory IM neurons and their specialized intrinsic circuits in primates, at multiple scales of analysis from the system to the synapse. Based on these findings we propose novel mechanisms for the filtering, integration and transmission of signals in the primate amygdala, consistent with the diverse roles of IM in processing stimuli associated with emotions and learning.
Defining the IM in primates
A basic organizational feature of the amygdala is its division into mostly excitatory, cortical-like, and inhibitory, striatal-like regions (De Olmos et al., 1985, De Olmos, 1990, Amaral et al., 1992, De Olmos and Heimer, 1999, Price, 2003, Sah et al., 2003, Waclaw et al., 2010, John et al., 2013), with different morphologic and physiologic properties (Mosher et al., 2010). Interposed between these two major regions are the inhibitory IM, which also infiltrate the narrow spaces that separate the nuclei of the basal complex in rhesus monkeys. The dendritic trees of IM neurons were largely confined within these inter-nuclear corridors, forming an extensive neuronal net positioned to intercept traffic. Contrary to the common reference of “clusters”, IM neurons in macaques are organized into a continuum within the amygdala. The continuity of this inhibitory neuronal net could only be appreciated after immunohistochemical labeling for DARPP-32 and NADPHd or NOS that produced Golgi-like staining of neurons and their processes. The prominent clusters of small/medium sized neurons were continuous with more sparsely populated narrow corridors of neurons of various sizes. The IM complex was embedded within an extensive net of stained dendritic processes between the amygdalar nuclei, in agreement with previous studies of IM in rats and humans (Millhouse, 1986, Urban and Yilmazer-Hanke, 1999, Marcellino et al., 2012).
Our findings indicate that the small, densely-packed clusters of IM neurons constitute only a minor part of the IM in the primate amygdala. In line with this assessment, a previous study in primates (Carlo et al., 2010), reported the volume and number of Nissl-stained neurons only in the densely-packed IM clusters of the rhesus monkey, which led to significantly lower estimates than in this study (IM volume: 0.38 mm3 vs 18 mm3; number of neurons: 25,600 vs 445,000). The magnitude of the differences in the estimates in the two studies suggests that not all IM clusters were included in the analyses in the Carlo et al., study, which was not focused on IM and did not include outlined maps of the analyzed clusters. The disparity in the estimated number of neurons in IM can also be partly explained by methodological differences between the two studies. For example, in the Carlo et al., study the authors counted only neurons with a nucleus that contained one clearly defined nucleolus. However, many neurons in IM have nuclei without a clear nucleolus, which have instead clumps of darkly stained heterochromatin along the nuclear membrane, nucleoplasm and around the nucleolus, features that are common in small neurons, in general (Ramón y Cajal, 1896, 1899/2002, García-Cabezas and Barbas, 2014). In addition, in the Carlo et al., study the authors defined the IM clusters following previous descriptions (Pitkanen and Amaral, 1991a, 1994, 1998), which included only the most prominent dense clusters of small darkly Nissl-stained cells that are located between BL and BM, or between BL and La, below Ce, or at the ventromedial tip of BM. Following this demarcation of IM to include only small neurons confined to the well-delineated IM clusters in our cases, the neuronal densities in the two studies were similar [density: 69,896 neurons/mm3 (this study) vs 67,368 neurons/mm3 (Carlo et al., 2010)].
The small size of the cell bodies in the IM clusters and their dark Nissl staining had earlier misled investigators into thinking that they were clumps of glia, but later were shown to contain neurons [for a historical perspective see (Millhouse, 1986)]. There were twice as many glia as neurons within the IM neuropil, a ratio that was significantly higher than the average amygdala glia/neuron ratio of approximately 1.3 (Chareyron et al., 2011). This is not surprising, given the positioning of IM between the main amygdalar nuclei within fiber bundles, including dense myelinated axons, which helps explain the high density of oligodendrocytes, and to some extent astrocytes, in IM.
IM neurons and their roles in amygdala function
The distinct morphological and neurochemical classes of IM neurons also suggest different physiological properties and function. Neurons expressing DARPP-32 were spiny, similar to the medium-sized spiny neurons in the striatum (Anderson and Reiner, 1991, Ouimet et al., 1998), whereas the other two groups were aspiny. Our findings are in agreement with qualitative studies in several species that have described striatal-like medium-sized spiny neurons, as well as small and large NADPHd+, and CB+ neurons in IM (Millhouse, 1986, Nitecka and Ben-Ari, 1987, Sims and Williams, 1990, Pitkanen and Amaral, 1991b, Barbas et al., 1993, McDonald and Augustine, 1993, Pitkanen and Amaral, 1994, Sorvari et al., 1996, Usunoff et al., 2006, Kaoru et al., 2010).
Differential distribution of DARPP-32 and NOS in IM suggests differences in the interactions of IM neurons with dopamine (Fienberg et al., 1998, Pape, 2005). Studies in the striatum have shown that under basal dopaminergic conditions, DARPP-32 is primarily phosphorylated at Thr75 and inhibits protein kinase A [(PKA); (Svenningsson et al., 2004)]. But under hyperdopaminergic conditions, phosphorylation at Thr75 is reduced and phosphorylation at Thr34 increases, with subsequent potentiation of dopaminergic signaling (Svenningsson et al., 2004). When DARPP-32 is phosphorylated at Thr34, it inhibits protein phosphatase inhibitor-1 and can amplify signaling mediated by protein kinases A and G (PKA, PKG). The PKA route involves dopamine acting through D1 receptors, which are enriched in IM [this study and (Fuxe et al., 2003, Pinto and Sesack, 2008, Muly et al., 2009, de la Mora et al., 2010)], consistent with the strong dopaminergic innervation of IM (Asan, 1997, Pape, 2005, Pinto and Sesack, 2008, Cho and Fudge, 2010). It is not clear, however, whether dopamine has the same effect on all types of IM neurons. For example, a study in mice has shown that dopamine can hyperpolarize IM paracapsular neurons through D1 receptors and substantially suppress their excitability, resulting in disinhibition of the basolateral and central nuclei (Marowsky et al., 2005).
Another major factor that stimulates the phosphorylation of DARPP-32 at Thr34 is the NO/cGMP pathway through activation of PKG (Tsou et al., 1993). In the striatum of rats, blockage of NO or cGMP decreases responsiveness of striatal medium-sized spiny neurons (West and Grace, 2004). Combined, these findings highlight the critical role of DARPP-32 in the modulation of dopaminergic signaling as well as in significant interactions with multiple neurotransmitters and neuromodulators, including NO (Greengard, 2001, Svenningsson et al., 2004). Because NO is a gas, it can act outside direct synaptic interactions with significant anterograde and retrograde effects within local circuits (Bredt and Snyder, 1992, Snyder, 1992). In this context, acting as a retrograde (nonsynaptic) agent in the amygdalar IM, NO may help regulate DARPP-32 phosphorylation sites to enhance dopaminergic signaling. In addition, our findings suggest that through synaptic interactions DARPP-32+ neurons can anterogradely inhibit NOS+ neurons. Thus, the specific interactions of DARPP-32 and NOS neurons in the primate IM provide a mechanism for a signaling cascade for auto-regulation of the local circuit activity (Figure 13B).
NO is involved in activity-dependent synaptic plasticity in several brain regions that play key roles in cognition and flexible, adaptive behavior (Prast and Philippu, 2001, Dachtler et al., 2011, Walton et al., 2013). In the amygdala, NO is additionally linked with modulation of anxiety levels and other emotional processes (Shindou et al., 1993, Yao et al., 2007). It should be noted that the largest neurons in the primate IM were NOS+, and a recent study showed that large IM neurons — which are distinct from small spiny IM neurons — relay noxious sensory information, and can innervate other inhibitory neurons in basal and lateral amygdalar nuclei (Bienvenu et al., 2015). This can transiently disinhibit principal neurons in the amygdala and facilitate the integration of aversive nociceptive inputs with neutral sensory stimuli, effectively participating in learning processes (Bienvenu et al., 2015)].
IM neurons and their roles in the amygdalar circuit: similarities and differences between rodents and rhesus monkeys
The amygdala is a central node of the limbic system, involved in emotional processing, motivation, and memory (Phelps, 2006, Murray, 2007, Pessoa, 2008, Morrison and Salzman, 2010, Pape and Pare, 2010, Pessoa and Adolphs, 2010, John et al., 2013, Paz and Pare, 2013, Lalumiere, 2014). The intra-amygdaloid circuit underlying these diverse functions is complex and includes the basal (BA) complex (also known as basolateral, BLA), the main input station of the amygdala for sensory afferents. The BLA ultimately connects with Ce, the major source of projections to brainstem structures, mediating fear and other emotional responses [reviewed in (Pare et al., 2003, Pape and Pare, 2010, Duvarci and Pare, 2014)]. Interposed between the two amygdalar regions, IM neurons can intercept excitatory projections from BLA and, in turn, inhibit Ce neurons. This general connectivity scheme seems to be preserved in mammals (Price and Amaral, 1981, De Olmos et al., 1985, De Olmos, 1990, McDonald, 1998, Fudge and Tucker, 2009, Pape and Pare, 2010, John et al., 2013).
In rodents, however, the topographic separation of distinct IM clusters underlies their distinct connectivity patterns and their specialized physiological properties and function. Figure 13A shows the connectivity among IM neurons located between BLA and Ce [called ITCs or medial ITCs in some rodent studies; for discussion and model, see (John et al., 2013)]. Although there is evidence from rodents that the clusters of spiny neurons form a continuous neuronal net (Marowsky et al., 2005), investigators often divide the IM into three subpopulations, based on topography, function and connections (Royer et al., 2000a, de la Mora et al., 2010, Amano et al., 2011, Busti et al., 2011, Li et al., 2011). At least two of these subpopulations appear to be crucial for fear conditioning and extinction (Busti et al., 2011, Li et al., 2011). The dorsolateral group (ITCd) is thought to inhibit the ventromedial group (ITCv) as well as the lateral subdivision of the central (CeL) amygdalar nucleus. The ventromedial group (ITCv), in turn, inhibits the medial subdivision of the central nucleus (CeM), which is the main amygdalar output to brainstem nuclei. Therefore, spiny neurons in the rodent IM are interconnected and are thought to gate signals between the BLA complex and Ce (Pare and Smith, 1993, Royer et al., 1999, 2000b, Likhtik et al., 2008, Manko et al., 2011).
Figure 13B shows the proposed tentative connectivity among IM cells in the rhesus macaque, based on the quantitative ultrastructural study of synapses within the IM neuropil. Our results complement previous findings at the brightfield level that report robust inhibitory synaptic input in IM (McDonald and Augustine, 1993, Pitkanen and Amaral, 1994) and strong excitatory input, likely from the basal amygdalar nuclei, the thalamus, and cortex (McDonald, 1998, McDonald et al., 1999, Ghashghaei and Barbas, 2002, Pare et al., 2003, Quirk et al., 2003, Berretta et al., 2005, Rempel-Clower, 2007, Amano et al., 2010, Pinard et al., 2012, Strobel et al., 2015). Significantly, our data show that primates do not possess topographically distinct subpopulations of spiny IM neurons that inhibit each other. Instead, we found three neurochemically-distinct classes of inhibitory neurons that are intermingled in an unbroken IM continuum. These neurons expressed respectively DARPP-32, NOS/NADPH, or the calcium-binding protein CB. Within the IM neuropil, the spiny DARPP-32+ neurons formed synapses with the aspiny NOS/NADPH+ neurons. We found no evidence of synaptic interactions between spiny neurons, as reported for rodents. Our data therefore, suggest that the interconnectivity of IM neurons in primates is likely neurochemically-specific and not spatially polarized, as reported for rodents.
Rodent IM studies report that groups of aspiny neurons surround the spiny neuron clusters (McDonald and Mascagni, 2011, Bienvenu et al., 2015), and are targeted by the spiny neurons (Busti et al., 2011), which is in line with some of our observations in primates. Further, in rodents the axons of the aspiny neurons reportedly avoid the parent IM regions, targeting the BLA and also regions outside the amygdala (Bienvenu et al., 2015). In contrast, we found that in rhesus monkeys mutual inhibition between neurons that belong to the same neurochemical group is only observed within the two putative aspiny groups: the NOS+ and the CB+ neurons. In addition, the NOS+ neurons innervate CB+ neurons (Figure 13). Moreover, unlike observations in rodents (Bienvenu et al., 2015), we found no IM neurons positive for PV, in agreement with previous studies in monkeys and humans (Pitkanen and Amaral, 1993, Sorvari et al., 1995, Ghashghaei and Barbas, 2002, Pantazopoulos et al., 2006). Thus the intrinsic circuitry in primate IM may differ from the rodent. These findings suggest species-specific differences in inhibitory dynamics that reflect variable or bistable behavior of IM neurons (Pare et al., 2003, Catterall and Few, 2008, Camp and Wijesinghe, 2009, Lohmann, 2009).
More physiologic and anatomic studies are needed to establish the entire complement of the sources of inputs onto these inhibitory neurons. It is thus necessary to investigate further to what extent the polarized connectivity of IM neurons reflects interconnectivity within IM, and what is the contribution from other amygdalar nuclei or other structures that have some of the same inhibitory neurons and also innervate the IM.
CONCLUSIONS
We highlighted remarkable histochemical and structural specificity of IM neurons and their circuits in rhesus monkeys. These features likely underlie the functional specialization and diverse contribution of IM neurons in learning and emotional processing. The neurochemical and functional specificity of IM neurons, along with their intricate interconnections and preferential targeting by the posterior orbitofrontal cortex (Ghashghaei and Barbas, 2002, Barbas et al., 2011), allow for flexible, context-dependent gating of intra- and extra-amygdalar traffic. These circuits are associated with acquisition or extinction of fear and complex emotional processes that are disrupted in anxiety disorders.
The inhibitory IM neurons form a continuous net between amygdalar nuclei
IM neurons are spiny or aspiny by morphology
Three distinct IM neurochemical types are spiny DARPP-32, aspiny CB and aspiny NOS neurons
Distinct IM neurons are intermingled and form specialized circuits that process affective events
Acknowledgments
We thank Dr. Alan Peters for EM consultation, Dr. John Fiala for assistance in adapting the free 3D-reconstruction software he developed, Drs. Ron Killiany, Maria Medalla and Clare Timbie for MRI and surgical assistance, Drs. Paul Greengard and Jean-Antoine Girault for their generous gift of the DARPP-32 antibody, and Mrs. Marcia Feinberg for exceptional technical assistance and imaging at the electron microscope. Supported by grants from NIH (BZ: R01 MH101209, HB: R01 MH057414, R01 NS024760) and NSF CELEST (YJ, HB, BZ: 0835976).
Abbreviations
- AChE
acetylcholinesterase
- BA or BLA
basolateral nuclear complex
- BL
basolateral nucleus
- BM
basomedial nucleus
- CB
calbindin
- Ce
central nucleus
- CeL
lateral subdivision of the central nucleus
- CeM
medial subdivision of the central nucleus
- Co
cortical nuclei
- CR
calretinin
- D1
dopamine receptor 1
- DARPP-32
dopamine and cAMP-regulated phosphoprotein
- EM
electron microscopy
- GABA
gamma-Aminobutyric acid
- GAD67
L-glutamic acid decarboxylase 67
- IM
intercalated nuclei, islands, clusters, or masses
- ITC
intercalated cells or clusters
- ITCd
intercalated cells or clusters, dorsolateral group
- ITCv
intercalated cells or clusters, ventromedial group
- La
lateral nucleus
- Me
medial nucleus
- NADPHd
β-nicotinamide adenine dinucleotide phosphate diaphorase
- NO
nitric oxide
- NOS
nitric oxide synthase
- PSD
post-synaptic density
- PV
parvalbumin
- Thr
threonine
Footnotes
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