Abstract
Often mislabeled as a simple relay of sensory information, the thalamus is a complicated structure with diverse functions. This diversity is exemplified by roles visual thalamus plays in processing and transmitting light-derived stimuli. Such light-derived signals are transmitted to the thalamus by retinal ganglion cells (RGCs), the sole projection neurons of the retina. Axons from RGCs innervate more than ten distinct nuclei within thalamus, including those of the lateral geniculate complex. Nuclei within the lateral geniculate complex of nocturnal rodents, which include the dorsal lateral geniculate nucleus (dLGN), ventral lateral geniculate nucleus (vLGN), and intergeniculate leaflet (IGL), are each densely innervated by retinal projections, yet, exhibit distinct cytoarchitecture and connectivity. These features suggest that each nucleus within this complex plays a unique role in processing and transmitting light-derived signals. Here, we review the diverse cytoarchitecture and connectivity of these nuclei in nocturnal rodents, in an effort to highlight roles for dLGN in vision and for vLGN and IGL in visuomotor, vestibular, ocular, and circadian function.
Keywords: Thalamus, Retinal ganglion cells, Retinogeniculate, Lateral geniculate nucleus, Intergeniculate leaflet
Introduction
Thalamus, from the Greek word thalamos meaning “inner chamber”, is a multifunctional diencephalic brain structure that plays important roles in receiving, processing, and relaying sensory information. The multiple and diverse functional roles of the thalamus may be best exemplified by those thalamic regions associated with light-derived visual stimuli. These regions receive, process, and relay not only classical image-forming visual information, which is a fundamental building block of vision, but also the less-well-studied nonimage-forming visual information.
Light-derived signals are detected and converted into neural signals by retinal photoreceptors. After being relayed and processed by interneurons in the inner nuclear layer (i.e., bipolar cells, horizontal cells, and amacrine cells), light-derived signals are transmitted to retinorecipient nuclei within the brain by retinal ganglion cells (RGCs). In both nocturnal and diurnal rodents, RGCs innervate approximately forty different retinorecipient regions, more than ten of which are located within the thalamus (Morin & Studholme, 2014; Martersteck et al., 2017) (Fig. 1). In nocturnal rodents, thalamic nuclei directly innervated by retinal axons include the dorsal lateral geniculate nucleus (dLGN), ventral lateral geniculate nucleus (vLGN), intergeniculate leaflet (IGL), lateral posterior thalamic nucleus (LP; analogous to the pulvinar in higher mammals), anterodorsal thalamic nucleus (AD), centrolateral thalamic nucleus (CL), para-habenular zone (PHb), peripeduncular nucleus (PP), zona incerta (ZI), and subgeniculate nucleus (SubG) (Morin & Studholme, 2014) (Fig. 1). In addition to these retinorecipient regions, some thalamic nuclei, such as the thalamic reticular nucleus (TRN), process visual information but do not receive direct input from RGCs. Despite the plethora of retinorecipient targets in rodent thalamus, the vast majority of retinothalamic axons innervate one of three adjacent thalamic nuclei in the lateral geniculate complex [dLGN, IGL, and vLGN (Fig. 2)], each of which exhibits unique cytoarchitecture, circuitry, and function. Here, we review the unique properties of the lateral geniculate complex nuclei in nocturnal rodents, demonstrating the diverse roles thalamic nuclei exert in processing and transmitting light-derived information.
Cytoarchitectural organization of retinorecipient thalamic nuclei
dLGN
The dLGN receives, processes, and relays classical image-forming visual information and, for this reason, has received the most attention of all retinorecipient thalamic nuclei. In higher mammals, the dLGN has a distinctive cytoarchitecture with layers that receive eye- and function-specific retinal inputs. While cells in the dLGN of highly visual diurnal rodents, such as squirrels, are separated into at least five layers (Kaas et al., 1972; Van Hooser & Nelson, 2006), the dLGN of nocturnal rodents lacks gross cytoarchitecture lamination, despite having eye-specific domains (Reese & Cowey, 1983; Godement et al., 1984; Muir-Robinson et al., 2002; Jaubert-Miazza et al., 2005) (Fig. 2A). Nevertheless, evidence that the dLGN of rats (Reese, 1988), mice (Grubb & Thompson, 2004; Krahe et al., 2011), and hamsters (Emerson et al., 1982) are not anatomically homogenous emerged. The possibility that “hidden laminae” existed in rodent dLGN first arose from studies demonstrating the dorsolateral “shell” and ventromedial “core” regions of rodent dLGN contain populations of retinal terminals that are morphologically separable (Erzurumlu et al., 1988; Reese, 1988; Hammer et al., 2015). Hidden laminae have become more apparent with techniques that label individual classes of RGCs, of which there are more than thirty (Sanes & Masland, 2015; Baden et al., 2016). A series of studies in transgenic reporter mice (each of which labels a single class of RGCs) have demonstrated the existence of several RGC class-specific retinorecipient sublaminae in dLGN (Kim et al., 2008; Huberman et al., 2008a; Huberman et al., 2009; Kim et al., 2010; Hong & Chen, 2011; Kay et al., 2011) (Fig. 2D).
In addition to a heterogeneous distribution of retinal afferents, neuronal subtypes within the rodent dLGN are differentially distributed. Two main types of neurons exist in dLGN, both of which are innervated by retinal afferents. Principal neurons, or thalamocortical (TC) relay cells, are excitatory projection neurons that originate from the caudal progenitor domain within the thalamic ventricular zone (i.e., prosomer 2) (Altman & Bayer, 1989; Puelles & Rubenstein, 2003; Vue et al., 2007) during rodent embryogenesis. Ultimately TC progenitor cells differentiate into at least three morphologically distinct classes in nocturnal rodents—biconical X-like cells, symmetrical Y-like cells, and hemispheric W-like TC cells (Krahe et al., 2011; Ling et al., 2012). These classes of TC relay cells closely resemble those reported in cats (Friedlander et al., 1981) and higher mammals (Irvin et al., 1993). Just as classes of relay cells are differentially distributed in cat and primate dLGN (Sherman, 1985; Nassi & Callaway, 2009), they are uniquely distributed in mouse dLGN: W-like cells occupy the dorsolateral shell of mouse dLGN and X- and Y-like cells occupy the ventromedial dLGN core (Krahe et al., 2011). While all three classes of TC relay cells project axons to visual cortex, recent evidence has demonstrated that regionally restricted cell types participate in functionally distinct parallel visual pathways in mice (Cruz-Martín et al., 2014; Bickford et al., 2015).
In addition to principal relay cells, rodent dLGN contains a small percentage (10–20%) of inhibitory interneurons, a cell type absent from most other dorsal thalamic regions (Arcelli et al., 1997; Jaubert-Miazza et al., 2005). The arrival of these interneurons occurs postnatally, after retinal inputs have targeted dLGN, formed immature connections, and begun to undergo activity-dependent refinement (Jones & Rubenstein, 2004; Singh et al., 2012; Golding et al., 2014; Jager et al., 2016). The precise origin of these interneurons is currently under debate, with studies suggesting they arise from a rostral progenitor domain within the thalamus (i.e., prosomer 3) or from tectum (Virolainen et al., 2012; Golding et al., 2014; Jager et al., 2016). Evidence is also emerging that dLGN interneurons are not a homogeneous population in mice, and can instead be divided into at least two classes based on soma size, membrane capacitance, and neuronal nitric oxide synthase (nNOS) expression (Leist et al., 2016). Similar interneuron diversity has been reported in rats (Gabbott & Bacon, 1994b), cats (Montera & Zempel, 1985; Montero & Singer, 1985), and primates (Braak & Bachmann, 1985). At present, however, it remains unclear whether classes of local inhibitory interneurons exhibit regional preferences in the nocturnal rodent dLGN.
vLGN and IGL
Unlike dLGN, the vLGN of nocturnal rodents is organized into at least two easily identifiable laminae—the magnocellular external vLGN (vLGNe), which contains large cells and receives dense innervation from retina, and the parvocellular internal vLGN (vLGNi), which receives little, if any, retinal input (Niimi et al., 1963; Hickey & Spear, 1976; Gabbott & Bacon, 1994a; Harrington, 1997). These laminae are separated by a small neuron-free, fiber-rich neuropil. Cell types within vLGN are vastly different than those in dLGN resulting in a significant difference in the transcriptome of each region (Su et al., 2011; Yuge et al., 2011). Moreover, the vLGN lacks stereotypic TC relay cells, and has only a limited number of vesicular glutamate transporter-expressing glutamatergic neurons (Fremeau et al., 2001; Yuge et al., 2011). Thus, in contrast to dLGN where glutamatergic neurons are the major cell type, vLGN contains a vastly higher population of GABAergic neurons (Gabbott & Bacon, 1994b; Harrington, 1997; Inamura et al., 2011). These major cellular differences reflect distinct embryonic origins of cells in vLGN, which are derived from progenitors in the most caudal prethalamus, a rostral domain of the thalamic ventricular zone, and the zona limitans interthalamica (ZLI) (Vue et al., 2007; Delaunay et al., 2009; Nakagawa & Shimogori, 2012; Virolainen et al., 2012). Although detailed studies of vLGN neurons lag behind similar characterizations of glutamatergic TC relay cells and local GABAergic interneurons in dLGN, expression studies and transgenic reporter mice strongly suggest that distinct classes of cells are distributed in a laminar arrangement in vLGNe, even if it is not apparent at the gross cytoarchitectural level (Moore & Card, 1994; http://www.brain-map.org).
Although vLGN and IGL likely serve different functions in nocturnal rodents and are anatomically distinguishable (Hickey & Spear, 1976; Moore & Card, 1994; Morin, 2013), we have grouped them together throughout this review because of shared features that will be discussed. Like those in vLGNe, neurons in the IGL originate from a rostral region of the thalamic progenitor zone and the ZLI (Vue et al., 2007; Delaunay et al., 2009). A large fraction of neurons in IGL generate GABA (Moore & Speh, 1993), few are glutamatergic, and none project axons to visual cortex (Harrington, 1997). However, it is important to highlight that some classes of IGL neurons are absent from vLGN. This includes NPY-expressing neurons in rodent IGL that project axons to hypothalamic nuclei (Card & Moore, 1989; Moore & Card, 1994; Harrington, 1997). Based on available data, classes of morphologically and neuro-chemically distinct neurons do not appear to cluster into distinct layers or regions of IGL, except, perhaps, for coarse differences in their distribution between rostral and caudal regions of the IGL (Brauer et al., 1983; Moore & Card, 1994; Morin, 2013).
Afferent projections of retinorecipient thalamic nuclei
dLGN: Retinal afferents
In mammals, the primary excitatory drive onto TC relay cells is provided by retinal inputs (Sherman, 2005; Petrof & Sherman, 2013). Anatomically, retinal projections to dLGN are spatially organized in (at least) three fundamental ways. First, retinal afferents are segregated into nonoverlapping eye-specific domains in an activity-dependent manner (Huberman et al., 2008a; Zhang et al., 2012). The dLGN of nocturnal rodents receives a relatively small contribution (5–10%) of retinal afferents from the ipsilateral retina and these projections are confined to a ventromedial core region of the dLGN (Jaubert-Miazza et al., 2005; Gaillard et al., 2013; Morin & Studholme, 2014) (Fig. 2B). Second, retinal projections to dLGN are organized topographically-so that neighboring RGCs provide input to neighboring TC relay cells and provide a continuous and faithful representation of spatial information from retina to brain (Feldheim et al., 1998; Pfeiffenberger et al., 2006; Huberman et al., 2008a; Cang & Feldheim, 2013) (Fig. 2C). Third, and perhaps most remarkably, retinal projections undergo class-specific segregation in rodent dLGN (Fig. 2D). Although more than 30 classes of RGCs exist in nocturnal rodents only a subset innervate dLGN (Sanes & Masland, 2015; Baden et al., 2016; Ellis et al., 2016). This suggests that targeting mechanisms exist that guide some classes of RGC axons into dLGN and exclude others. Once appropriate classes of retinal axons enter dLGN, they are further segregated into a newly-appreciated laminar organization (Hong & Chen, 2011; Dhande & Huberman, 2014; Sanes & Masland, 2015). The presence of these stereotyped class-specific retinal projections has been elegantly revealed by transgenic reporter mice in which individual RGC classes are labeled with reporter proteins (Hattar et al., 2006; Kim et al., 2008; Huberman et al., 2008b; Huberman et al., 2009; Kim et al., 2010; Kay et al., 2011; Rivlin-Etzion et al., 2011; Dhande et al., 2013; Triplett et al., 2014). While only a small set of individual RGC projections have been mapped with this approach, some rules are beginning to emerge. First, projections of direction-selective classes of RGCs arborize in more dorsolateral regions of dLGN, including the shell of dLGN (Kim et al., 2008; Huberman et al., 2009; Rivlin-Etzion et al., 2011; Cruz-Martín et al., 2014). Second, there is considerable overlap in the laminar termination zones of RGC axons (Fig. 2D), and taken in the context of recent ultrastructural and circuit tracing experiments in dLGN (Morgan et al., 2016; Rompani et al., 2017), this raises the possibility that individual TC relay cells may receive inputs from multiple classes of RGCs.
In addition to being segregated based on eye of origin, topography, and RGC class, retinal inputs in dLGN are structurally and functionally distinct from retinal inputs in other retinorecipient nuclei, even other thalamic nuclei (Sherman, 2005; Hammer et al., 2014). Specifically, retinal terminals onto dLGN TC relay cells are significantly larger than all other terminals in dLGN (and larger than retinal terminals in all other retinorecipient nuclei), and exhibit unique ultrastructural morphology and function (Guillery, 1969; Lund & Cunningham, 1972; Sherman, 2004; Guido, 2008; Bickford et al., 2010; Hong & Chen, 2011). It is worth pointing out, however, that at least two distinct types of RG synapses have been identified in rodent dLGN: “simple encapsulated” RG synapses, in which a single retinal terminal synapses onto a TC relay cell dendrite, and “complex encapsulated” RG synapses in which axons from numerous RGCs converge to innervate adjacent regions of a TC relay cell dendrite (Lund & Cunningham, 1972; Hammer et al., 2015; Morgan et al., 2016). Finally, it is important to point out that retinal projections not only innervate TC relay cells, but also local interneurons in nocturnal rodents (Sherman, 2004; Seabrook et al., 2013b).
dLGN: Nonretinal afferents
While retinal inputs provide the excitatory drive to TC relay cells, they account for only 5–10% of the total inputs onto a relay cell and are far outnumbered by nonretinal inputs (Sherman & Guillery, 2002; Bickford et al., 2010; Cetin & Callaway, 2014). A summary of the main inputs to rodent dLGN is depicted in Fig. 3.
While many nonretinal inputs onto dLGN TC relay cells have modulatory or inhibitory roles, a recent study identified a novel glutamatergic nonretinal source of “driver-like” input onto dLGN TC relay cells (Bickford et al., 2015). These inputs arise from the ipsilateral superior colliculus (SC) and terminate onto W-like TC relay cells in the dorsolateral shell of dLGN (Harting et al., 1991a; Bickford et al., 2015). Circuit tracing experiments indicate these excitatory tectogeniculate connections contribute to the processing and transmission of direction-selective visual information (Bickford et al., 2015).
While tectogeniculate inputs represent a minor source of inputs to dLGN, a more significant portion of nonretinal glutamatergic inputs arise from cortical projection neurons in layer VI of primary visual cortex (Sherman, 2016). Corticothalamic inputs are small, located on distal portions of TC relay cell dendrites, and generate weak excitatory postsynaptic potentials (EPSPs) in relay cells (Sherman & Guillery, 2002; Petrof & Sherman, 2013). For this reason, it is likely that these inputs are insufficient for the relay of information alone and are, therefore, modulatory in nature (Petrof & Sherman, 2013). Despite these features, corticothalamic inputs do significantly influence RG transmission by affe cting the gain of signal transmission and sharpening of receptive field properties of TC relay cells (Sherman & Guillery, 2002; Briggs & Usrey, 2008; Olsen et al., 2012; Bickford, 2015).
In addition to tectal and cortical glutamatergic inputs, TC relay cells in higher mammals receive modulatory cholinergic, serotonergic, noradrenergic, and dopaminergic inputs from a variety of sources in the brainstem including parabigeminal nucleus, pedunculopontine region, locus coeruleus, dorsal raphe nucleus of the midbrain, and the midbrain reticular formation (Mackay-Sim et al., 1983; de Lima et al., 1985; De Lima & Singer, 1987; Papadopoulos & Parnavelas, 1990a, b; McCormick, 1992; Jones, 2012). At present, some of these afferent projections have been demonstrated in nocturnal rodents (Hallanger et al., 1987; Harting et al., 1991b), but additional studies are needed to map specific sources of these inputs and to understand their role in signal processing in rodents.
Finally, the last significant source of nonretinal inputs to dLGN are inhibitory GABAergic inputs that arise from both local inhibitory neurons and projection neurons in the TRN, a region that forms a lateral shell around dorsal thalamus in nocturnal rodents (Hale et al., 1982; Guillery & Harting, 2003; Pinault, 2004). Inhibitory neurons in the ipsilateral pretectum also project to dLGN (Born & Schmidt, 2007), however evidence suggests that these projections innervate dLGN interneurons not TC relay cells (Wang et al., 2002; Born & Schmidt, 2007), adding further complexity to dLGN circuitry.
An interesting facet of the convergence of retinal and nonretinal inputs in dLGN is that their development appears tightly coordinated. Retinal axons target and innervate dLGN prior to the arrival of non-retinal inputs and play instructive roles in the establishment of nonretinal circuitry (Brooks et al., 2013; Seabrook et al., 2013a; Golding et al., 2014; Grant et al., 2016). Likewise, nonretinal inputs contribute to the development and function of retinogeniculate synapses. For example, the presence of corticothalamic axons and corticogeniculate synapses play essential roles in the establishment, refinement, and maintenance of retinal inputs (Shanks et al., 2016; Thompson et al., 2016).
vLGN and IGL: Retinal afferents
Several features of retinal projections to vLGNe are similar to those in dLGN: retinal afferents provide a main excitatory drive to vLGNe; the arrival of retinal inputs in vLGNe occurs neonatally and precedes nonretinal inputs (Su et al., 2011); retinal inputs are mapped topographically in vLGNe and these inputs are segregated into nonoverlapping eye-specific domains (Holcombe & Guillery, 1984; Hammer et al., 2014; Morin & Studholme, 2014). On this last point, it warrants mention that ipsilateral retinal projections occupy a region of vLGN that is more complex and less stereotyped than its counterparts in dLGN. For this reason, activity-dependent refinement of eye-specific retinal projections has not been thoroughly characterized in vLGNe, nor has it served as an anatomical readout of activity-dependent refinement as has been the case in dLGN (Jaubert-Miazza et al., 2005; Demas et al., 2006; Stevens et al., 2007; Huberman et al., 2008b; Rebsam et al., 2009; Xu et al., 2011; Rebsam et al., 2012; Dilger et al., 2015).
There are, however, several dramatic differences between retinal projections in dLGN and vLGNe. First, the majority of dLGN-projecting classes of RGCs fail to send collateral axon branches into vLGNe despite having to pass by it (or through it) on the way to dLGN (Huberman et al., 2008b; Kim et al., 2008; Huberman et al., 2009; but see also; Rivlin-Etzion et al., 2011). Instead, sets of nonimage-forming classes of RGCs, including the M1 class of melanopsin-expressing intrinsically photosensitive RGCs (ipRGCs; labeled in Opn4 taulacz/taulacz mice) and RGCs labeled in Cdh3-GFP mice, innervate vLGNe (Hattar et al., 2006; Osterhout et al., 2011). It is worth noting that a small subset of ipRGC terminals have been reported in the medial-most region of dLGN in Opn4 taulacz/taulacz mice. While these may reflect projections from M1 ipRGCs, it is also possible that they belong to axons from other ipRGCs, such as M3 ipRGCs (Schmidt et al., 2011). Indeed other classes of ipRGCs innervate dLGN and mediate image-forming visual signals in nocturnal rodents (Ecker et al., 2010; Estevez et al., 2012). Projections of M1 ipRGCs and Cdh3-GFP RGCs arborize broadly across all regions of vLGNe, raising questions as to whether hidden lamina exist in vLGNe. However, it is important to point out that studies in diurnal rats identified distinct lamination of retinal projections in this region (Gaillard et al., 2013). Moreover, only a small set of the RGCs that likely innervate rodent vLGNe have been identified and studied to date, leaving open the possibility that additional RGC classes will be identified whose projections are regionally restricted to specific sublamina of vLGNe. In support of this, there is a small region of vLGNe underlying the optic tract (OT) that contains a region with morphologically distinct retinal arbors (Hammer et al., 2014), much like that observed in the dorsolateral shell of dLGN (Reese, 1988; Grubb & Thompson, 2004).
Significant differences also exist in the anatomy and physiology of retinal synapses in vLGN compared to dLGN. Retinal terminals in rodent vLGNe are remarkably smaller and less morphologically complex than those in dLGN, and this difference is reflected in their ability to elicit considerably weaker EPSPs (Mize & Horner, 1984; Hammer et al., 2014). While several features of retinogeniculate synapses in vLGNe more closely resemble features of modulatory glutamatergic inputs (including their size, synaptic strength, and relative level of convergence on postsynaptic neurons), retinal inputs onto vLGN principal neurons exhibit paired-pulse depression and are likely to be “driver” inputs (Hammer et al., 2014). Ultrastructural analysis further suggests that retinal terminals in vLGNe do not form “complex encapsulated” RG synapses and are not typically ensheathed by glial processes (Stelzner et al., 1976; Hammer et al., 2014), both of which are features of RG synapses in rodent dLGN (Hammer et al., 2014; Hammer et al., 2015). These differences in retinal input type, synaptic morphology, and synaptic physiology suggest that light-derived information is processed differently in vLGNe.
Characteristics of retinal afferents in the nocturnal rodent IGL diverge even farther from their analogues in dLGN. Retinal projections to IGL are not segregated into nonoverlapping eye-specific domains (Su et al., 2013; Hammer et al., 2014; Morin & Studholme, 2014) nor are they topographically mapped (Harrington, 1997) (Fig. 2). These two features of retinal inputs distinguish IGL from vLGNe, which is surprising given that the only known classes of RGCs that project to IGL, M1 ipRGCs, and Cdh6-expressing RGCs, also project to vLGNe (Hattar et al., 2006; Osterhout et al., 2011). It is possible that subsets of RGCs in these classes differentially target IGL and vLGNe, or that each retinorecipient region has unique target-derived signals that allow for differential nonimage- forming RGC axon targeting mechanisms (Fox & Guido, 2011).
Retinal terminals in IGL do share ultrastructural similarities with retinal terminals in dLGN and vLGNe, such as the presence of pale mitochondria and round synaptic vesicles (Moore & Card, 1994). In contrast to retinal terminals in dLGN, which reside on large proximal dendrites (Rafols & Valverde, 1973; Wilson et al., 1984), retinal inputs appear to contact small diameter, distal dendrites in IGL (Moore & Card, 1994). Analysis of retinal terminal size by anterograde labeling suggests that these terminals are similar in size to those in vLGNe, but are much less densely distributed than those in other major retinorecipient nuclei (Hammer et al., 2014). Some peculiar features of retinal terminals in IGL have been noted in the literature and warrant mention here. For example, while retinal terminals in vLGNe, dLGN, and all other retinorecipient nuclei contain Vesicular Glutamate Transporter 2 (VGluT2), little, if any, of this transporter (or its closely related family member VGluT1) is present in IGL (Fujiyama et al., 2003; Su et al., 2013; Hammer et al., 2014). The limited level of VGluT expression in IGL appears unchanged following surgical or genetic enucleation (Fujiyama et al., 2003; Hammer et al., 2014), further suggesting retinal terminals in IGL may lack machinery for glutamate release. Despite this apparent lack of machinery for glutamate packaging and release, Blasiak et al. (2009) showed that glutamate receptor antagonists impair excitatory responses to OT stimulation in IGL neurons. How do we reconcile such differences? It is possible that VGluT2 is present in retinal terminals in IGL but is below the limit of detection by immunostaining. Would such low levels of vGluT2 allow faithful transmission of signals at retinal synapses in IGL? Perhaps. Retinal terminals in IGL contain pituitary adenylate cyclase-activating peptide (PACAP) (Engelund et al., 2010), a neurotransmitter that can be co-released with glutamate and amplifies glutamatergic signaling (Kopp et al., 2001; Michel et al., 2006). Co-release of PACAP may reduce the necessity of retinal terminals to package and release large quantities of glutamate and therefore retinal terminals may require minimal levels of VGluTs.
In addition to differences in synapse size and neurotransmitters released, a final asymmetry between retinal connections in IGL and other retinorecipient nuclei is that a considerable fraction of principle projection neurons in IGL (such as NPY + neurons) are not directly innervated by retinal inputs. Instead, the ability of these projection neurons to propagate light-derived signals requires yet-to-be identified interneurons (Thankachan & Rusak, 2005; Morin, 2013), and suggests the existence of a unique circuitry for the transmission of sensory information in IGL.
vLGN and IGL: Nonretinal afferents
Despite some differences in retinal connectivity with vLGNe and IGL, there appears to be a high degree of similarity in the nonretinal afferents innervating these structures. It is worth noting three distinctions between sources of nonretinal afferents to vLGNe and IGL when compared with dLGN. First, the number of nuclei that project afferents to rodent vLGNe and IGL far exceed and are far more diverse than those to dLGN (Figs. 4 and 5). An incomplete list of these sources includes superior colliculus, visual cortex, olivary pretectal nucleus, anterior pretectal nucleus, posterior pretectal nucleus, locus coeruleus, dorsal raphe nucleus, subparafasicular thalamic nucleus, mesencephalic nucleus, lateral dorsal tegmental nucleus, medial and lateral terminal nuclei, supraoculomotor periaqueductal gray, retrorubral nucleus, pontine reticular nucleus, pararubral nucleus, and medial vestibular nucleus (Cosenza & Moore, 1984; Moore & Card, 1994; Moore et al., 2000; Vrang et al., 2003; Horowitz et al., 2004) (Figs. 4 and 5). In addition, neurons in rodent IGL (but not vLGNe) receive afferents from a variety of sources which include (but are not limited to) prefrontal cortex, ZI, suprachiasmatic nucleus, cuneiform nucleus, and superior and lateral vestibular nuclei (Morin & Blanchard, 1998, 1999; Vrang et al., 2003; Horowitz et al., 2004) (Fig. 5). Second, subcortical projections to vLGNe and IGL arise from both ipsilateral and contralateral sources in nocturnal rodents (Moore & Card, 1994; Vrang et al., 2003; Horowitz et al., 2004). For example, IGL neurons receive bilateral input from the olivary pretectal nucleus (OPN) and suprachiasmatic nucleus (SCN), and contralateral inputs from the other IGL (Vrang et al., 2003); likewise, vLGNe neurons receive input from the contralateral vLGNe (Cosenza & Moore, 1984). Third, few sources of afferents are shared with dLGN, strongly inferring diverse roles of these thalamic regions in processing light-derived information (Horowitz et al., 2004). Even in cases when projections to all three regions of the lateral geniculate complex arise from a single brain region, they originate from different cellular sources. For example while dLGN, vLGNe, and IGL all receive input from corticothalamic cells in primary visual cortex, inputs to dLGN arise from layer VI cells whereas those innervating vLGNe and IGL arise from layer V (Cosenza & Moore, 1984; Bourassa & Deschênes, 1995; Jacobs et al., 2007; Seabrook et al., 2013a; Hammer et al., 2014).
Efferent projections of retinorecipient thalamic nuclei
dLGN efferents
Of the retinorecipient thalamic nuclei discussed here, the dLGN has by far the fewest targets of efferent projections. In fact, the relative simplicity of efferent projections from dLGN is striking and emphasizes a singular function of dLGN in processing and transferring image-forming visual information. TC relay cells project axons to only two ipsilateral regions in nocturnal rodents: primary visual cortex and TRN (Rafols & Valverde, 1973; Towns et al., 1982; Reese & Cowey, 1983; Crabtree & Killackey, 1989; López-Bendito & Molnár, 2003; Jurgens et al., 2012). Recent studies in mice have demonstrated that projections to visual cortex exhibit class-specificity, with W-like relay cells in the dorsolateral shell of dLGN, conveying direction-selective visual information to layer I and Y-like and X-like relay cells projecting to layer IV of primary visual cortex (Cruz-Martín et al., 2014; Bickford et al., 2015). At present, it remains unclear whether these three classes of TC relay cells make unique connections with TRN neurons in nocturnal rodents. It is worth mentioning that, in cat, Y-cells provide the predominant dLGN input to the perigeniculate nucleus, the visual sector of cat TRN which overlies dLGN (Dubin & Cleland, 1977; Friedlander et al., 1980).
vLGN and IGL efferents
Efferents from vLGNe and IGL target many of the same brain regions and, in contrast to the simplicity of the dLGN efferents, are diverse and far-reaching. Importantly, neither vLGNe nor IGL project efferents to visual cortex or any other cortical region (Harrington, 1997). Instead, their efferents innervate regions that regulate visuomotor function, eye movement, vestibular function, and circadian function (Moore et al., 2000) (Figs. 4 and 5). A noteworthy and major target of efferents from vLGNe and IGL is the superior colliculus, a region intimately involved in multisensory integration, visuomotor function, and coordination of eye movements. Projections from vLGNe and IGL arborize in all layers of the ipsilateral SC and represent the largest thalamic source of afferents to SC in nocturnal rodents (Matute & Streit, 1985; Taylor et al., 1986). However, whether these projections are excitatory, inhibitory, or modulatory remains unresolved. Efferents from both vLGNe and/or IGL also target other midbrain structures, including the ipsilateral OPN, the nucleus of the OT, and the anterior pretectal nucleus (Cadusseau & Roger, 1991; Harrington, 1997; Moore et al., 2000). Other regions associated with eye movements, visuomotor function, and attention innervated by vLGNe and IGL include two of the accessory optic system nuclei (lateral terminal nucleus and medial terminal nucleus; Swanson et al., 1974; Ribak & Peters, 1975), zona incerta (Brauer & Schober, 1982), and nuclei within the pons (Harrington, 1997).
In addition to visuomotor functions, vLGNe and IGL efferents project to both hypothalamic and thalamic regions (Moore et al., 2000). The largest of these projections innervates the SCN, and is referred to as the geniculohypothalamic (GH) tract. GH projections are GABAergic, are important for modulating circadian function (Harrington, 1997), and originate from NPY + or Enk + neurons in the IGL (Card & Moore, 1982; Harrington et al., 1987; Card & Moore, 1989). A separate set of neurons in vLGNe and IGL innervate contralateral vLGNe and IGL (Harrington, 1997), contralateral dLGN (Mikkelsen, 1992; Kolmac et al., 2000), and, at least in higher mammals, pulvinar (Nakamura & Kawamura, 1988).
Diverse connectivity leads to diverse functions of retinorecipient thalamic nuclei
Retinorecipient nuclei within the thalamus exemplify the diverse roles these brain regions play in sensory processing. Despite residing adjacent to each other in the lateral geniculate complex and receiving light-derived signals directly from the retina, there are few similarities in their cytoarchitecture, connectivity, or function of dLGN, vLGN, and IGL.
Based upon its efferent projections to cortex and early studies showing near unitary matching of retinal afferents to TC relay cells (Glees & le Gros Clark, 1941), the dLGN was initially characterized as a simple relay of visual information. Certainly, the relative simplicity of its efferent projections suggests a near singular role in transmitting image-forming visual information to visual cortex. However, describing the dLGN as a simple relay underestimates its role in processing image-forming visual information. Modulatory feedback from cortex, cholinergic inputs from a subset of brainstem nuclei, and inhibition from interneurons, endows the dLGN with the ability to shape visual information before transmitting it to higher cortical centers (Piscopo et al., 2013; Roth et al., 2016; Weyand, 2016; Rompani et al., 2017). For example, top-down feedback from corticothalamic inputs is thought to increase the selectivity of TC relay cells, sharpen TC relay cell receptive field properties, enhance synchronicity among TC relay cells, and influence the gain of retinogeniculate transmission (Sherman & Guillery, 2002; Briggs & Usrey, 2008; Weyand, 2016). In nocturnal rodents (and higher mammals) the manner in which retinal inputs innervate dLGN offers the possibility of modifying light-derived signals: feed forward inhibition of retinal inputs through local interneurons can either enhance temporal specificity of RG transmission or can enhance lateral inhibition (Martinez et al., 2014; Weyand, 2016), single retinal axons innervating multiple TC relay cells can amplify visual signals (Weyand, 2016), and the convergence of numerous retinal axons on single relay cell dendrites can produce TC receptive fields that are not present in retina (Hammer et al., 2015; Morgan et al., 2016; Weyand, 2016; Rompani et al., 2017). Thus, dLGN is more likely an active component of the machinery required to transform image-forming information into vision and not a passive relay.
In contrast, vLGNe and IGL have little (if any) role in vision. Despite not innervating visual cortex, neurons in these thalamic regions do innervate visual system centers upstream of dLGN (e.g., SC) and even provide inputs to dLGN. Lesion experiments also suggest a potential role for vLGNe and IGL in visual intensity discrimination (Horel, 1968; Legg & Cowey, 1977a, b; Harrington, 1997), however, these studies (and, in fact, all lesion studies of these regions) need to be interpreted cautiously as the lesions disrupt the overlying OT and may have secondary effects on other retinorecipient nuclei. Based upon input from classes of RGCs that convey nonimage-forming visual information, and projections to a variety of subcortical structures, roles for vLGNe and IGL in modulating circadian rhythms, visuomotor function, eye movements, and vestibular function seem likely. While lesion studies have addressed some of these possibilities in nocturnal rodents (Harrington & Rusak, 1986; Lewandowski & Usarek, 2002) more elegant and specific genetic approaches to lesion or silence activity in vLGNe and IGL have yet-to-be applied. Such studies are needed to definitively identify the functions of vLGNe and IGL, and to identify any potential differences in these two nuclei.
Acknowledgments
We apologize to those whose work we excluded from this review due to space constraints. Work in the Fox laboratory is supported by the National Institutes of Health (EY021222, EY024712, AI124677) and by a Brain and Behavior Research Foundation NARSAD Independent Investigator Award. A.M. is supported by a Virginia Tech Carilion Research Institute Medical Research Scholar fellowship.
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