Ординатура / Офтальмология / Английские материалы / Eye, Retina, and Visual System of the Mouse_Chalupa, Williams_2008

the presumptive corticotectal cells are characterized by larger than average RFs (Mangini and Pearlman, 1980). Apart from the lack of orientation and direction selectivities, identified corticotectal cells are characterized by very large RFs (mean, 66.5°; range, 30–95°), high background activity (6 spikes/s; range, 4–17 spikes/s), good responsiveness over a wide range of stimulus velocities (10–1,000 deg/s; mean preferred velocity ca. 250 deg/s), and relatively little spatial summation (Mangini and Pearlman 1980; Lemmon and Pearlman, 1981). RF characteristics of the corticotectal cells of the mouse (with the exception of apparent lack of orientation selectivity) are remarkably similar to those of the cat (Palmer and Rosenquist, 1974). Overall, corticotectal cells in the mouse (Mangini and Pearlman, 1980), as in the rat (see Sefton et al., 2004) and cat, are large pyramidal neurons located in layer V. This is in contrast to the situation in primates, where corticotectal cells are located in both layers V and VI (Finlay et al., 1976; Fries et al., 1985; Cusick and Lund, 1981; Lia and Olavarria, 1996).

Orientation selectivity. A substantial minority of cells in mouse striate cortex are orientation selective (34%–43%; Dräger,

1975; Mangini and Pearlman, 1980; Métin et al., 1988). They tend to have a very low level (0–1 spikes/s) of spontaneous activity (Mangini and Pearlman, 1980), and about half of them exhibit a substantial degree of direction selectivity (Métin et al., 1988). Applying the criteria developed for classification of oriented cortical cells in cats and primates (Hubel and Wiesel, 1962, 1968; Gilbert, 1977; Henry, 1977), orientation-selective cells in the mouse are classified as simple if they contain spatially distinct, mutually antagonistic ON and OFF discharge regions in their classical RFs or as complex if the ON and OFF discharge regions in their classical RFs spatially overlap (Dräger, 1975; Mangini and Pearlman, 1980; Métin et al., 1988). Simple and complex cells constitute respectively about half of orientation-selec- tive cells, that is, about 20% of all neurons in the mouse striate cortex (Dräger, 1975; Métin et al., 1988). The diameter of simple RFs varies from 6° to 55° (mean, 23.5°; Dräger, 1975). It is worth pointing out that simple and complex cells have been reported in V1 in virtually all orders of mammals, both eutherian and noneutherian (for a review, see Van Hooser et al., 2005). The only known exception is the tree shrew, in which simple cells appear to be lacking (Mooser et al., 2004).

As indicated in table 3.2, in the striate cortex of carnivores, virtually all primates, including both Old World (Hubel and Wiesel, 1968; Leventhal et al., 1995, Schiller et al., 1976b) and New World diurnal monkeys (Forte et al., 2005), tree shrews (Humphrey et al., 1977), and in highly visual diurnal rodents such as gray squirrel (Van Hooser et al., 2005), the majority of cells are orientation selective. The relative paucity of orientation-selective cells in the mouse striate cortex is consistent with the relative paucity (ca. 30%) of orientation-selective neurons in the striate cortex of the golden hamster (Tiao and Blakemore, 1976a) and the rabbit (Chow et al., 1971, Murphy and Berman, 1979). Surprisingly, however, in the closely related murid rodent, the laboratory rat, at least 70%–80% of neurons in area 17 exhibit a clear orientation selectivity (Burne et al., 1984; Girman et al., 1999) and if one includes cells broadly tuned for orientation (orientation biased), about 93% of neurons in rat’s striate cortex exhibit orientation tuning (Girman et al., 1999). In a number of species, cells that prefer a range of similar orientations are grouped together in radial columns referred to as orientation columns (or domains). This type of organization is present in cats and primates but has not been found in rodents, including the highly visual diurnal squirrels (see table 3.2).

The range of contour orientations over which orientationselective, simple or complex cells in mouse striate cortex respond (orientation tuning width) varies from 60° to 180°, with an average of 120° (Métin et al., 1988). The overall range and average values of the orientation tuning width are rather similar to those for orientation-selective cells in the striate cortex of the rat (Girman et al., 1999) but broader than those of orientation-selective cells in striate cortex of the hamster (Tiao and Blakemore, 1976a). Large proportions of orientation selective simple (orientation tuning range 10–180°, with a median of 55°) or complex (orientation tuning range 15–180°, with a median of 68°) cells in cat’s striate cortex (Payne and Berman, 1983) exhibit a substantially higher degree of orientation selectivity than those observed in the striate cortex of the mouse. The range of orientation tuning widths and the average orientation tuning widths of cells in the striate cortex of the mouse are also greater than those for neurons recorded from area 18 in the cat (range, 20–140°, with the 40–60° range most common; Dreher, Michalski, et al., 1992). Another measure of orientation selectivity (half-width at half-height of orientation tuning curves) also suggests that the orientation selectivity in carnivores (cat: Henry et al., 1974a, 1974b; Rose and Blakemore, 1974; ferret: Usrey et al., 2003) and primates (Ringach et al., 2002; Schiller et al., 1976a; De Valois et al., 1982; Leventhal et al., 1995) is sharper than that in mice.

Substantial evidence indicates that orientation selectivity of neurons in the striate cortex of the cat at least, is determined by a network of excitatory feedforward thalamocorti-

cal and intrinsic recurrent connections as well as intrinsic GABAergic inhibitory connections (for reviews, see Henry et al., 1994; Vidyasagar et al., 1996; Eysel, 2002; Somers et al., 2002). It is worth noting in this context that in the mouse striate cortex, almost all of the cortical neurons expressing γ-aminobutyric acid (GABA) are orientation insensitive, while most of the excitatory neurons are orientation selective (Sohya et al., 2007).

The reported difference in proportion of orientationselective cells between rats and mice might, however, be more apparent than real, and could be related to the fact that the classical RFs of cells recorded from the mouse striate cortex tend to be much larger than the elongated bars used to determine cells’ orientation selectivity (Dräger, 1975, 1981; Mangini and Pearlman, 1980; Métin et al., 1988). First, it has been clearly demonstrated in the striate cortex of cat (see Henry et al., 1974a, 1974b; Chen et al., 2005) and macaque (Schiller et al., 1976a) that when elongated stimuli shorter than the minimum discharge field (classical RF) of the cell, and therefore not encroaching onto the silent, extraclassical area surrounding the classical RF, were used to determine the orientation selectivity, orientation tuning became rather broad. As mentioned earlier, a substantial proportion of nonoriented cells in mouse area 17 have silent, suppressive regions in their RFs (Mangini and Pearlman, 1980; Simmons and Pearlman, 1983; Schuett et al., 2002; see also the discussion of hypercomplex cells in Dräger, 1975). Girman and colleagues (1999) determined the sharpness of orientation tuning of cells in the striate cortex of the rat using luminance-contrast-sinusoidally modulated gratings, presumably encroaching onto the silent, extraclassical RFs. Second, in both cats (Andrews and Pollen, 1979) and ferrets (Chapman et al., 1991; but see Usrey et al., 2003) the orientation tuning tends to be sharper when gratings rather than single elongated bars are used. Third, in the case of macaque striate cortex, the cells located in the “blobs” (regions in the supragranular layers II and III that express high levels of activity of mitochondrial enzyme cytochrome oxidase) tend to show very little orientation selectivity when elongated bars are used (Livingstone and Hubel, 1984; Leventhal et al., 1995). However, when luminance-contrast, sinusoidally modulated gratings were used, the cells located in the blobs exhibited a substantial degree of orientation selectivity (Leventhal et al., 1995).

Binocularity in the Primary Visual Cortex The binocular segment of mouse area 17, in which the binocular part of the visual field (nasal 30–40° of the visual field) is represented, occupies the lateral third of area 17 (see figure 3.3). It can be distinguished histologically from the more medial monocular segment by its more intense staining for acetylcholinesterase activity (Antonini et al., 1999). As mentioned in the section on dLGN, virtually all cells in the

mouse dLGN are monocular. By contrast, about 70% of cells recorded from the binocular segment of the striate cortex respond to appropriate visual stimuli presented via either eye (Dräger, 1975, 1978; Métin et al., 1988; see table 3.1). This is somewhat surprising given that in mice, the overall proportion of all RGCs projecting ipsilaterally is very small (2%–3%; Dräger and Olsen, 1980; Godement et al., 1984). The ipsilateral projection to the dLGN is relatively enhanced, however, as 14%–18% of the dLGN volume is occupied by terminals from the ipsilateral eye (LaVail, 1991; Godement et al., 1984). Not surprisingly, as indicated in figure 3.8, the proportion of monocular cells in the binocular region of area 17 that can be activated only by stimuli presented through the contralateral eye is much larger than the proportion of monocular cells that can be activated only by the stimuli presented through the ipsilateral eye (ca. 25% vs. ca. 5%; Dräger, 1975, 1978; Métin et al., 1988). The amplitude of VEPs recorded from the binocular segment of area 17 is approximately threefold greater than when the stimuli are presented via the ipsilateral eye (Porciatti et al., 1999). Similarly, the magnitude of signals recorded using intrinsic optical imaging in the binocular segment of area V1 generated by square-wave gratings of low spatial frequency presented to the contralateral eye is about twice that generated by stimuli presented to the ipsilateral eye (Kalatsky and Stryker, 2003).

As indicated in table 3.1, in the striate cortex of mammals with frontally positioned eyes, such as most primates or cats, monocular cells responding only to stimuli presented via a particular eye or binocular cells responding preferentially to visual stimuli presented via a particular eye, cluster in radially oriented ocular dominance columns (see table 3.1; for reviews, see LeVay and Nelson, 1991; Casagrande and Kaas, 1994). Ocular dominance columns are also apparent in ferrets (Law et al., 1988), even though ferrets, unlike cats, have fairly laterally positioned eyes and a relatively small proportion of RGCs (ca. 7%) project ipsilaterally (Morgan et al., 1987). Similarly, in the striate cortex of ungulates such as sheep, with their relatively laterally positioned eyes, there appear to be clear eye dominance columns (Clarke et al., 1976). By contrast, in the striate cortex of small nocturnal murid rodents with laterally positioned eyes (and a small proportion of ipsilaterally projecting RGCs), such as the mouse (Dräger, 1975, 1978) and rat (Fagiolini et al., 1994; Sefton et al., 2004), there is no evidence of clustering of cells into radial columns based on eye preference. This is also the case for small diurnal mammals with laterally positioned eyes such as tree shrews (Humphrey et al., 1977). Indeed, in these species, monocular cells responding only to the stimuli presented to one eye, or binocular cells dominated by one eye, are intermingled with cells that preferentially (or solely) respond to stimuli presented to the other eye. In the mouse, the lack of ocular dominance columns reported physiologi-

number of cells

OCULAR DOMINANCE

Figure 3.8 Ocular dominance distribution of cells recorded from cortical area 17 of the mouse. Class 1 and class 5 cells are monocular cells that could be activated by appropriate visual stimuli presented via the contralateral or ipsilateral eyes, respectively. Class 2 and class 4 cells are binocular cells dominated by the contralateral and ipsilateral eyes, respectively. Class 3 cells are binocular cells that respond equally strongly to stimuli presented via either eye. (From Dräger, 1975, with permission.)

cally is consistent with the results of transneuronal tracing (Dräger, 1974; Antonini et al., 1999). Even though mice and other rodents do not have anatomically distinct ocular dominance columns, they do, nevertheless, have a critical period during early postnatal life in which the relative representations of the two eyes in the binocular region of cortex are sensitive to monocular deprivation (Dräger, 1978; Gordon and Stryker, 1996; Antonini et al., 1999). This bears many similarities to the phenomenon of ocular dominance plasticity, which has been extensively studied in cats (Wiesel and Hubel, 1963, 1965; LeVay et al., 1978; Shatz and Stryker, 1978) and primates (LeVay et al., 1975, 1980; Hubel and Wiesel, 1977).

Transcallosal cells. Transcallosal cells in area 17 can be activated antidromically by electrical stimulation of the contralateral visual cortex. They are predominantly located in layer III and to a lesser extent in layer II and in layers V and VI in the binocular part of area 17 in close vicinity of the border between areas 17 and 18a (Simmons and Pearlman, 1983). Transcallosal cells can be activated by visual stimuli presented through either eye, but tend to respond more vigorously to stimuli presented via the contralateral eye and their RFs were within 20° on either side of the representation of the vertical meridian (Simmons and Pearlman, 1983). Unlike the general population of mouse area 17 neurons, most transcallosal cells are orientation selective or

orientation biased. They also have silent suppressive surround regions in their RFs and therefore respond poorly to large stimuli (Simmons and Pearlman, 1983).

Spatial Acuity and Temporal Resolution Probably only about a third of the RGCs project to the dLGN in the mouse, and hence V1 receives information only from a subpopulation of the RGCs. Nevertheless, visual acuity as determined by recording pattern VEPs from the binocular segment of mouse area 17 is about 0.6 c/deg (Porciatti et al., 1999). Similarly, the visual acuity of adult pigmented mice as determined by transcranial imaging of intrinsic signal in mouse area 17 is about 0.5 c/deg (Heimel et al., 2007). Those values are in very good agreement with the high cutoff limits of spatial resolution of the mouse visual system as determined by testing optokinetic reflexes (Sinex et al., 1979) or using behavioral techniques (Gianfranceschi et al., 1999, Prusky et al., 2000). This agreement is consistent with the fact that the visual acuity determined by recording VEPs to temporally countermodulated sine-wave gratings from area 17 of anesthetized macaque monkeys was virtually identical to that determined by recording the pattern electroretinogram responses (Ver Hoeve et al., 1999).

The VEPs recorded from the surface of the mouse area 17 are generated by a major dipole localized toward pyramidal cells in layers II and III (Porciatti et al., 1999). It is not surprising, then, that the peak spatial frequency of pattern VEPs recorded from the binocular segment of mouse area 17 at 0.06 c/deg (grating bars of ca. 8°) corresponds closely to the average size of RFs of neurons recorded from binocular segment of area 17 (Dräger, 1975; Mangini and Pearlman, 1980; Métin et al., 1988; Gordon and Stryker, 1996; Hensch et al., 1998). It is worth noting that in the rat, ablation of area 17 (plus some extrastriate cortices), with accompanying retrograde degeneration of the dLGN, results in transient disruption of animal’s ability to detect high-con- trast, low spatial frequency square-wave gratings, and after extensive retraining behaviorally measured visual acuity is reduced to about a third of the preablation value (Dean, 1978).

Based on the pattern VEP (to sinusoidally modulated luminance grating), the cells in binocular segment of mouse striate cortex appear to be most sensitive to temporal frequencies in the 2–4 Hz range, with a high cutoff at about 12 Hz and poor responsiveness at frequencies below 1 Hz (Porciatti et al., 1999). A high temporal frequency cutoff determined by transcranial imaging of intrinsic signal in mouse area 17 is even higher (16 Hz; Heimel et al., 2007). Consistent with the small axial length of mouse eye and its relatively large lens (Remtulla and Hallett, 1985), area 17 is more strongly activated strongly by fast rather than slowly moving visual stimuli, whether activity is measured by single unit recordings or VEPs (Dräger, 1975; Mangini and

Pearlman, 1980, Porciatti et al., 1999). To our knowledge, the spatiotemporal tuning of single neurons in mouse visual cortex has not been examined, so we do not know if there is a spatial frequency invariant representation of stimulus velocity in mouse area 17.

Extrastriate visual cortices. In highly visual mammals such as primates (Payne, 1993; Rosa, 1997) or carnivores such as cats (for reviews, see Rosenquist, 1985; Burke et al., 1998) and ferrets (Manger et al., 2002a, 2002b, 2004), a large proportion of neocortex processes visual information. Furthermore, in both primates and carnivores (for reviews, see Maunsell and Newsome, 1987; Rosa, 1997; Burke et al., 1998), there are a large number of topographically organized cortical visual areas. These are generally considered to constitute the parts of at least two distinct streams, which process information about visual motion or pattern (and color in case of diurnal primates), respectively. In rodents, two cytoarchitectonically distinct areas, 18a and 18b, abut area 17 (see Sefton et al., 2004). Area 18a abuts area 17 laterally and rostrally, whereas area 18b abuts area 17 medially and rostrally. These areas also differ in terms of their primary thalamic input, which in the case of area 18a arises from the rostral part of the LP nucleus and in the case of area 18b arises from the L nucleus (Caviness and Frost, 1980). Wagor and colleagues (1980) distinguished at least two distinct topographically organized representations of parts of the contralateral visual fields in area 18a and two distinct topographic representations in area 18b (see figure 3.6). When combined, two representations within area 18a appear to form one complete representation of the contralateral visual field. As in the rat (Sefton et al., 2004), the border between area 17 and area 18a located lateral to area 17 contains dense aggregates of callosal cells and terminals (Olavarria and Montero, 1989). Since it was originally believed that the vertical meridian is represented along the entire border between area 17 and area 18a, the part of area 18a immediately abutting area 17 was designated area V2 (Wagor et al., 1980; Rosa and Krubitzer, 1999). Recently, however, evidence has been presented that the vertical meridian is represented only at the part of the border between areas 17 and 18a, that is, at the border of area V1 and one of the visuotopically organized areas within area 18a, the lateromedial (LM) area (Wang and Burkhalter, 2007). Since in almost all mammalian species studied to date, including some rodents (Rosa and Krubitzer, 1999; Sefton et al., 2004; Rosa and Tweedale, 2005), the representation of the vertical meridian delineates the border between areas V1 and V2, it appears that in the mouse only area LM, rather than the entire area V2 as designated by Wagor and colleagues (1980), is homologous to area V2 in other mammals (Wang and Burkhalter, 2007; figure 3.9). Thus, area V1 is adjoined laterally not only by

area V2 (area LM) but also by several other visuotopically organized areas, specifically, the anterior (A), rostrolateral (RL), and posterior (P) areas (Wang and Burkhalter, 2007). As the zero horizontal meridian rather than the zero vertical meridian is represented at the border of presumptive V2 and the more lateral part of area 18a, the lateral part of area 18a has been designated area V3 (Wagor et al., 1980; see also Rosa and Manger, 2005, for presumptive homologous areas in other mammals). The area designated by Wagor and colleagues as area V3 appears to correspond to the laterointermediate (LI) area of Wang and Burkhalter (2007). The cortical neurons in 18a that are just rostral rather than lateral to area 17 (presumably corresponding to areas A and RL of Wang and Burkhalter, 2007) are bimodal, that is, they have clearly defined visual RFs and somewhat less welldefined somatosensory (vibrissal) RFs (Wagor et al., 1980). Rostrally, area 18a abuts somatosensory cortex, and bimodal area 18a neurons located in close proximity to somatosensory cortices are characterized by clearly defined vibrissal RFs and poorly defined visual RFs.

Similarly, in area 18b, which abuts area 17 medially and rostrally, two topographically organized areas were designated areas Vm-r and Vm-c (Wagor et al., 1980). Both of

Figure 3.9 Schematic diagram depicting the relationship between striate and extrastriate visual cortical areas in the mouse. The cytoarchitectonically defined areas 18a (lateral to V1) and 18b (medial to V1) contain nine distinct, visuotopically organized areas. The lateromedial area (LM) abuts V1 laterally and is considered the homologue of V2. The laterointermediate area (LI) is probably the homologue of V3. Other areas are the posterior (P), postrhinal (POR), anterolateral (AL), rostrolateral (RL), anterior (A), anteromedial (AM), and posteromedial (PM). A number of other regions also receive V1 input but are not visuotopically organized. These regions include but are not limited to the mediomedial (MM), retrosplenial (RSA), and primary somatosensory (S1) areas shown. The entorhinal area (Ent) does not have direct connections with V1. (Figure based on Wang and Burkhalter, 2007.)

these areas contain distinct, approximately mirror representations of the temporal but not the nasal parts of the visual hemifield, and the visual RFs of neurons in both areas are poorly defined (Wagor et al., 1980). Consistent with the visuotopic subdivision of area 18b into areas Vm-r and Vm- c, each area receives partially distinct inputs from different parts of the lateral nucleus. Thus, while the lateral part of caudal lateral nucleus projects to area Vm-c, the medial part of caudal lateral nucleus projects mainly to area Vm-r (Caviness and Frost, 1980). Whereas in both carnivores and primates the polysensory cortical areas also abut purely visual cortices, unlike in the mouse, they appear to be separated from area 17 by numerous purely visual areas (see Stein and Meredith, 1993). However, it has recently been shown that multisensory integration in primates such as common marmosets occurs in the visual, somatosensory, and auditory cortical areas that were previously believed to be unisensory (Cappe and Barone, 2005).

As mentioned earlier, the visuotopic subdivisions of cytoarchitectonic areas 18a and 18b of the mouse are strongly supported by the patterns of associational corticocortical connections between area 17 and clusters of cells within area 18a and 18b (Olavarria and Montero, 1989; Wang and Burkhalter, 2007). Furthermore, the callosally projecting cells and callosal terminals concentrate not only at the border between areas 17 and 18a but also in several distinct regions within area 18a and, to a lesser extent, within area 18b (see figure 3.7 after Olavarria and Montero, 1989). Since the number and general location of callosally connected regions in the mouse extrastriate visual cortices are similar to those in the laboratory rat (for a review, see Sefton et al., 2004), it has been suggested that multiple visual cortical areas in murid rodents are arranged according to a common plan (Olavarria and Montero, 1989). Indeed, the pattern of callosal and associational striate-extrastriate connections in mice and rats is also very similar to that in hamsters (Olavarria and Montero, 1990). Consistent with findings in carnivores and primates, at any given eccentricity, the classical excitatory RFs of cells in all visuotopically organized extrastriate areas of the mouse tend to be larger than those of neurons in area V1 (Wang and Burkhalter, 2007). Furthermore, there is a type of receptive field size hierarchy in mouse extrastriate areas, with the mean size of RFs of area LM or V2 neurons being smallest, about 30°, and that of area A being largest, at around 60° (Wang and Burkhalter, 2007). Interestingly, as in V1, the RF sizes of neurons located in a given putative extrastriate visual area do not increase with eccentricity (Wang and Burkhalter, 2007). The paucity of detailed information concerning the RF properties (other than size) of these putative extrastriate visual cortical areas, however, prevents us from speculating about the possible homologues of these areas in carnivores and primates.

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