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ORIGINAL RESEARCH article

Front. Neuroanat., 20 October 2016
Volume 10 - 2016 | https://doi.org/10.3389/fnana.2016.00099

Big Cat Coalitions: A Comparative Analysis of Regional Brain Volumes in Felidae

Sharleen T. Sakai1,2* Bradley M. Arsznov3 Ani E. Hristova1 Elise J. Yoon1 Barbara L. Lundrigan4
  • 1Department of Psychology, Michigan State University, East Lansing, MI, USA
  • 2Neuroscience Program, Michigan State University, East Lansing, MI, USA
  • 3Department of Psychology, Minnesota State University, Mankato, Mankato, MN, USA
  • 4Department of Integrative Biology and Michigan State University Museum, Michigan State University, East Lansing, MI, USA

Broad-based species comparisons across mammalian orders suggest a number of factors that might influence the evolution of large brains. However, the relationship between these factors and total and regional brain size remains unclear. This study investigated the relationship between relative brain size and regional brain volumes and sociality in 13 felid species in hopes of revealing relationships that are not detected in more inclusive comparative studies. In addition, a more detailed analysis was conducted of four focal species: lions (Panthera leo), leopards (Panthera pardus), cougars (Puma concolor), and cheetahs (Acinonyx jubatus). These species differ markedly in sociality and behavioral flexibility, factors hypothesized to contribute to increased relative brain size and/or frontal cortex size. Lions are the only truly social species, living in prides. Although cheetahs are largely solitary, males often form small groups. Both leopards and cougars are solitary. Of the four species, leopards exhibit the most behavioral flexibility, readily adapting to changing circumstances. Regional brain volumes were analyzed using computed tomography. Skulls (n = 75) were scanned to create three-dimensional virtual endocasts, and regional brain volumes were measured using either sulcal or bony landmarks obtained from the endocasts or skulls. Phylogenetic least squares regression analyses found that sociality does not correspond with larger relative brain size in these species. However, the sociality/solitary variable significantly predicted anterior cerebrum (AC) volume, a region that includes frontal cortex. This latter finding is despite the fact that the two social species in our sample, lions and cheetahs, possess the largest and smallest relative AC volumes, respectively. Additionally, an ANOVA comparing regional brain volumes in four focal species revealed that lions and leopards, while not significantly different from one another, have relatively larger AC volumes than are found in cheetahs or cougars. Further, female lions possess a significantly larger AC volume than conspecific males; female lion values were also larger than those of the other three species (regardless of sex). These results may reflect greater complexity in a female lion’s social world, but additional studies are necessary. These data suggest that within family comparisons may reveal variations not easily detected by broad comparative analyses.

Introduction

One hypothesis proposed to explain the evolution of large brains is the social brain hypothesis, which posits that social information processing demands enhanced neural computational capabilities leading to larger brains (Dunbar, 1992). In primates, larger brains over and above that expected for a given body size, larger relative neocortical volume and, in particular, larger relative volume of the frontal lobes all positively correlate with social group size (Dunbar and Bever, 1998; Dunbar, 2011). However, whether these findings are unique to primates or apply more generally to other mammalian orders remains unclear. One prediction of the social brain hypothesis is that non-primate species living in large, complex societies also process social information and should exhibit comparable enlargement of brain areas as those found in primate species. The order Carnivora offers a unique opportunity to evaluate the relationship between brain size and sociality since this group consists of more than 280 species in which social complexity ranges from strictly solitary species to highly social species living in large complex groups.

A broad analysis examining brain variation relative to ecological, life history and behavioral factors across Carnivora suggested that a number of factors, most notably, diet and breeding group size, might influence brain size among carnivores (Gittleman, 1986). Support for the social brain hypothesis was provided by three subsequent studies which found positive correlations between sociality in carnivores and relative brain size (Perez-Barberia et al., 2007), relative cerebrum volume (Swanson et al., 2012), and relative neocortex size (Dunbar and Bever, 1998). However, others have emphasized that both social and non-social variables likely influence brain size in carnivores (Holekamp, 2007), including general cognitive abilities as demonstrated by puzzle box problem solving (Benson-Amram et al., 2016). Moreover, Finarelli and Flynn (2009) noted that the positive relationship between sociality and brain size in carnivores is driven mostly by a single family, Canidae, which consists primarily of social species. They found no relationship between brain size and sociality in either Felidae or Hyaenidae (Finarelli and Flynn, 2009). In contrast, a later study that focused on the four extant hyaenid species (Sakai et al., 2011a,b) found that social group size was positively correlated with relative frontal cortex volume. While these last two studies differ somewhat with respect to the variables measured, this discrepancy suggests that analyses at lower taxonomic levels may reveal patterns not easily detectable in broad species comparisons.

Several studies have demonstrated that the relative proportions of brain structures vary uniquely between taxa and suggest that this is a result of grade specific shifts in brain evolution (Barton and Harvey, 2000; Clark et al., 2001; Bush and Allman, 2004; Iwaniuk and Arnold, 2004; Reep et al., 2007; Smaers et al., 2012). It has further been argued that analyses at lower taxonomic levels (e.g., within species and families) may reveal details of brain size variation not observed in comparisons across mammalian orders (Willemet, 2012). Closely related species are expected to possess a characteristic brain cerebrotype, a generalized pattern of weighted brain structures. Deviations from that characteristic cerebrotype can aid in identifying how various selection pressures impact brain evolution. Here, we examine variation in total and regional brain size within the family Felidae in hopes of revealing patterns that are not detected in more inclusive comparative studies.

We investigate the relationship between relative regional brain volumes and sociality in 13 felid species, while controlling for the non-independent effect of phylogeny. In addition, a more detailed species level analysis was conducted of four focal species, including two that differ in sociality by sex (i.e., lions, Panthera leo, and cheetahs, Acinonyx jubatus) and two that are solitary (i.e., leopards, Panthera pardus, and cougars, Puma concolor). Lions are the only truly social felids, living in groups (prides) of as many as 21 females and a dominant male (Mosser and Packer, 2009). Females typically stay in the pride to which they were born, while males leave their birth pride and attempt to take over another, often working with other males to overthrow the resident male. The only other social felids are male cheetahs, which often form small groups (Caro and Collins, 1987); female cheetahs, leopards and cougars are typically solitary. This comparison expands on a previous study comparing brain volumes in lions and cougars (Arsznov and Sakai, 2012). Here, three predictions regarding inter- and intraspecific differences and regional brain volumes were evaluated: (1) if sociality presents a greater neural computational demand, then relative brain size is expected to be larger in lions and cheetahs than in other felid species; (2) similarly, since the frontal cortex has been implicated in social information processing, proportionately greater frontal cortex volume should be found in social compared to solitary felids; (3) finally, given that males and females experience very divergent social life histories in lions and cheetahs, but not in leopards and cougars, relative frontal cortex volume should be sexually dimorphic in the former, but not the latter. Here, virtual endocasts were created from computed tomographic (CT) scans of the skulls. Quantitative assessments of total and regional brain volumes were obtained in order to examine both inter- and intra-specific brain variations in selected felid species.

Materials and Methods

Sample

A total of 75 adult skulls, representing 13 felid species, were examined. Each species was represented by at least one male (m) and one female (f). Additional skulls were included in a focal species level inquiry: lions (8 males, 6 females), leopards (10 males, 6 females), cougars (6 males, 7 females), and cheetahs (9 males, 5 females). The skulls were obtained from the collections of Michigan State University Museum, University of Michigan Museum of Zoology, American Museum of Natural History and Field Museum of Natural History (see Appendix 1). Data on 11 felid species new to this study are combined with previously collected lion and cougar CT scans (Arsznov and Sakai, 2012). New regional brain volume and skull length data for each skull were collected for this study. Our sampling attempted to avoid, inasmuch as possible, captive status and conspecifics collected from different geographical regions, as captivity and geography are known to contribute to intraspecific variation in brain size in both lions and tigers (Yamaguchi et al., 2009). However, an additional requirement for undamaged skulls with intact tentoriums necessarily limited the selection pool. In our sample, lions, cheetahs and leopards originated primarily from Africa. Although a number of leopard subspecies have been named in Africa, only one (Panthera pardus pardus) is supported by genomic analysis (Uphyrkina et al., 2001). Three male leopards were from Sri Lanka and represent an additional leopard subspecies, Panthera pardus fusca. Our cougar sample includes individuals from both North and South America. Our analysis did not reveal consistent species level variation related to either captive status or geographical origin.

Computed Tomography

All skulls were scanned in a General Electric Discovery ST 16 or 64 slice scanner along the rostral-caudal axis in the Department of Radiology, Michigan State University. The following scanning parameters were used: 0.625 mm slice thickness, DFOV 18, 0.531:1 pitch, and 0.5 s scan rotation. Data were saved as Digital Imaging and Communications in Medicine Centricity (DICOM) images and imported to MIMICS 15.0 software (Materialise, Inc., Plymouth, MI, USA), which was used to create the 3D endocasts. These procedures were previously described in detail (Sakai et al., 2011a,b). To summarize, the endocranial air space deep to bone was selected in each coronal section from the cribriform plate rostrally to the opening of the foramen magnum caudally. Sections were subsequently compiled to create a three dimensional virtual endocast. Total endocranial volume and regional volumes were obtained using the MIMICS 3D volume measurement operation.

The endocast was subdivided into four brain regions based on both bony landmarks and the gyral and sulcal pattern. These subdivisions are: olfactory bulb (OB), anterior cerebrum (AC), posterior cerebrum (PC), and cerebellum/brain stem (CB+BS) (Figure 1A). OB volume was defined as the region extending from the cavity posterior to the nasal turbinates to the point of the greatest constriction of this cavity (Figure 1D). The region AC extends from OB posteriorly to the cruciate sulcus at midline and ventrally to the optic canal (Figure 1E). The cruciate sulcus is used here as a boundary since it is found reliably and is known to coincide with the premotor and motor areas in many carnivores studied (Hassler and Muhs-Clement, 1964; Stanton et al., 1986; Sakai, 1990; Arsznov et al., 2010; Arsznov and Sakai, 2012). Although frontal cortex is defined in primates as the cortex anterior to the central sulcus, the boundary between motor and somatosensory cortex, a similar sulcal boundary is highly variable in both size and shape and is not present in all carnivores (Radinsky, 1969). The AC volume here is thus comprised of the frontal cortex and subcortical structures, including a small portion of the rostral-most head of the caudate nucleus, ventral pallidum, olfactory tubercle and prepiriform cortex. PC volume includes the region caudal to the cruciate sulcus but rostral to the cerebellar tentorium (Figure 1F). This region includes cortex caudal to the cruciate sulcus, underlying diencephalic and rostral mesencephalic structures. Lastly, the CB+BS volume lies between the foramen magnum and the cerebellar tentorium. Thus, the CB+BS volume measurement includes cerebellum, caudal mesencephalon, pons and medulla. Body weight data were not available for each individual specimen. Instead, skull basal length, the distance from the anterior border of the median incisive alveolus to the mid-ventral border of the foramen magnum, served as a proxy for body size (Figure 2A). Skull basal length strongly correlates with body weight (Radinsky, 1984) and is a reasonable substitute for body size when individual body weight is not available (Janis, 1990; Van Valkenburgh, 1990).

FIGURE 1
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FIGURE 1. (A–C) Three dimensional reconstructions of virtual endocasts from computed tomography (CT) scanned skull and whole brain view of the leopard (Panthera pardus). (A) Dorsolateral view of a virtual endocast (FMNH specimen 135077) showing the regional brain volumes: Olfactory bulb (OB) in gold, anterior cerebrum (AC) in yellow, posterior cerebrum (PC) in green, and cerebellum and brain stem (CB+BS) in blue. (B) Virtual endocast of the same specimen showing the prominent sulci. (C) Dorsolateral view of whole brain from the Comparative Mammalian Brain Collection. Abbreviations: an, ansate sulcus; cr, cruciate sulcus; pl, postlateral sulcus; la, lateral sulcus; pr, proreal sulcus; ss, suprasylvian sulcus. Scale bar = 1 cm. (D–F) Sagittal CT scans showing bony landmarks used to demarcate brain regions shown in (A). (D) Arrows (gold) denote the narrow constriction that demarcates the caudal boundary of OB and the rostral edge of AC. (E) Arrows (yellow) indicate the cruciate sulcus at midline (dorsal) and optic canal (ventral), the boundary between caudal AC and rostral PC. (F) Arrow (blue) shows the cerebellar tentorium, the boundary separating the caudal PC from rostral CB+BS.

FIGURE 2
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FIGURE 2. (A) Ventral view of a leopard skull showing the linear measure of skull basal length (SBL), the distance from the median incisive alveolus to the mid-ventral border of the foramen magnum (arrow). (B) Plot of log cube root of endocranial volume regressed against log skull basal length of 13 felid species. (Pearson’s r = 0.96, p < 0.001).

Statistical Analysis

Statistical analysis was based on 75 endocasts representing 13 felid species. The relationship between total endocranial volume and skull basal length was evaluated using Pearson’s r correlation coefficient. A phylogenetic least squares regression analysis (PGLS) was performed (Grafen, 1989) on total endocranial volume (species averages) as a function of skull basal length (species averages) and sociality (social vs. solitary). This analysis assumed a Brownian motion model of evolution, using the nlme (Pinheiro et al., 2014) and ape (Paradis et al., 2004) packages in R version 3.1.0 (R Core Team, 2014). Briefly, a felid phylogeny was constructed for the 13 species using estimated divergence times presented in Johnson et al. (2006) (Figure 3). Divergence time for Felis lybica was used for F. silvestris in our analysis because subspecies information was not available and these skulls originated from Africa. PGLS regressions were also performed on three regional endocranial volumes (AC, PC, and CB+BS), in each case looking at regional volume (species averages) as a function of the rest of endocranial volume (i.e., total endocranial volume minus the volume of that region) and sociality. Additionally, the subfamilies Pantherinae and Felinae (Figure 3) were compared with respect to regional endocranial volumes [as a proportion of rest of endocranial volume using phylogenetic analyses of variance (ANOVA) in the geiger package (Harmon et al., 2008)].

FIGURE 3
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FIGURE 3. Phylogeny of selected felid species adapted from Johnson et al. (2006). A dorsal view of each species’ virtual endocast is shown to scale on the right.

For the species-level comparisons of lions, leopards, cougars, and cheetahs, differences in proportional regional brain volumes were examined among species (ANOVA) and between sexes (t-tests) using the statistical software package IBM SPSS 20.0 (IBM corporation, Armonk, NY, USA).

Results

Interspecies Differences

Whole Brain Endocasts

Major features of external brain morphology are visible in the virtual endocasts, as evidenced by comparing a leopard whole brain photograph (Figure 1C) to the virtual endocast from the same species (Figure 1B). Prominent sulci including the cruciate sulcus, lateral sulcus, ansate sulcus, suprasylvian sulcus, anterior and posterior limbs of the ectosylvian sulcus and sylvian sulcus are all clearly visible in the endocast (see Figure 1 in Arsznov and Sakai, 2012, for lion and cougar brain-to-endocast comparisons). Gross examination of species differences in brain structure (based on endocasts) indicate that the orientation of, and patterns formed by the sylvian sulcus, suprasylvian sulcus, lateral sulcus, and cruciate sulcus are similar across felids. However, interspecific differences were observed in the presence of small sulci along the midline and in the pattern formed by the postlateral sulcus. Further, while the ectosylvian sulcus divides into an anterior and posterior limb in the same general location in most species studied, it is variably present as a single arched sulcus dorsal to the sylvian sulcus and ventral to the lateral sulcus in lions and cougars. In addition, most felids possess a small post-cruciate sulcus located posterior to the cruciate sulcus and anterior to the limbs of the ansate sulcus, however, this post-cruciate sulcus was not readily identifiable in cheetahs. Line drawings of a dorsolateral view of cheetah and leopard brains are shown in Figures 4A,B, respectively. The cruciate sulcus is located quite rostrally and is barely visible in a dorsal view of the cheetah endocast and the most rostral part of the cheetah brain appears flexed in comparison to the more horizontal slope of the dorsal surface of the brain in other felids (see Figures 4C,D). When viewed dorsally, the cheetah brain is globose in shape and notably more rounded in appearance than observed in other felids, such as leopards (Panthera pardus), ocelots (Leopardus pardalis), wildcats (F. silvestris), bobcats (Lynx rufus), Geoffrey’s cats (Leopardus geoffroyi), and kodkods (Leopardus guigna) (Figure 3).

FIGURE 4
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FIGURE 4. Line drawings of a lateral view of the endocasts of the cheetah, Acinonyx jubatus (A) and leopard, Panthera pardus (B). Abbreviations as in Figure 1. In situ reconstructions of the skull and endocast for each species are shown in (C) and (D).

Endocranial Volume and Regional Brain Differences

Skull basal length (the proxy for body size) and total endocranial volume are highly correlated in the 13 felid species examined here (Pearson’s r = 0.96, p < 0.001) (Figure 2B). A PGLS analysis revealed that skull basal length significantly predicts total endocranial volume (β = 0.55, p < 0.001), but found no significant effect of sociality on relative endocranial volume (β = 0.28, p = 0.22), and no significant interaction (β = -0.13, p = 0.20).

Phylogenetic least squares analyses of regional volumes showed that both the rest of endocranial volume (β = 0.065, p < 0.001) and the sociality/solitary variable (β = -5891.78, p = 0.003) significantly predict AC volume (Figure 5). Additionally, there is a significant interaction for AC volume between rest of endocranial volume and sociality/solitary (β = 0.032, p = 0.004) wherein rest of endocranial volume is a significant predictor of AC volume in solitary species. Rest of endocranial volume also significantly predicts PC volume (β = 2.60, p < 0.001) and CB+BS volume (β = 0.23, p < 0.001) (Figure 5). However, sociality was not a significant predictor in either analysis: PC (β = 23264.90, p = 0.07), CB+BS volumes (β = -1521.80, p = 0.60). Averaged endocranial and regional brain volumes for each species are shown in Table 1.

FIGURE 5
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FIGURE 5. Scatter plot showing the relationship between anterior cerebrum volume, AC, and rest of endocranial volume (A), posterior cerebrum volume, PC, and rest of endocranial volume (B), and cerebellum and brain stem volume, CB+BS, and rest of endocranial volume (C) for 13 felid species.

TABLE 1
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TABLE 1. Average endocranial and regional brain volumes by species.

Phylogenetic ANOVAs found no significant difference between subfamilies Felinae and Pantherinae in relative proportions of AC [F(1,11) = 2.08, p = 0.69], PC [F(1,11) = 0.05, p = 0.94)], or CB+BS [F(1,11) = 2.43, p = 0.65].

Regional Brain Volume Differences in Four Felid Species

One-way ANOVAs comparing the four focal species (lions, leopards, cougars, and cheetahs) yielded significant effects of both AC and PC to the rest of endocranial volume [F(3,53) = 53.60, p < 0.001 and F(3,53) = 30.72, p < 0.001, respectively] (Figure 6). Bonferroni post hoc comparisons revealed that both lions and leopards have a significantly larger relative AC than cougars (p < 0.001, p = 0.001, respectively) or cheetahs (p < 0.001, p < 0.001, respectively). Additionally, while lions have a relatively larger AC than leopards, this difference is not statistically significant (p = 0.71). Cheetahs have the smallest AC to rest of endocranial volume of the four species (p < 0.001; Figure 6). Post hoc comparisons of relative PC to rest of endocranial volume revealed that both cougars and cheetahs have a significantly larger relative PC than lions (p < 0.001, p < 0.001, respectively) or leopards (p < 0.001, p < 0.001, respectively). However, there were no significant differences in relative PC between cougars and cheetahs (p = 0.05) or between lions and leopards (p = 0.74). No significant main effect of the relative volume of CB+BS was present between the species [F(3,53) = 1.34, p = 0.27].

FIGURE 6
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FIGURE 6. Pairwise comparisons of anterior cerebrum volume, AC (A) and posterior cerebrum volume, PC (B) relative to the rest of endocranial volume in four felid species. Bars indicate 95% CI. Lions and leopards have significantly larger relative ACs than either cougars (p < 0.001, p = 0.001, respectively) or cheetahs (p < 0.001, p < 0.001, respectively), and cougars have a significantly larger relative AC than cheetahs (p < 0.001). Although relative AC volume is greater in lions than in leopards, this difference is not statistically significant (p = 0.71). Relative PC volume is significantly greater in cheetahs and cougars than in lions (p < 0.001, p < 0.001, respectively) or leopards (p < 0.001, p < 0.001, respectively), but does not differ significantly between lions and leopards (p = 0.74) or between cougars and cheetahs (p = 0.05).

Sex Differences in Regional Brain Volume in Four Felid Species

Independent t-tests for sex differences in proportional regional brain volumes of the four focal species (lions, leopards, cougars, and cheetahs) revealed significant sex differences in lions and cougars, but not in cheetahs or leopards. In lions, females possess a significantly larger AC to rest of endocranial volume than males [t(12) = 2.54, p = 0.03] (Figure 7A). This difference is evident from gross examination of the dorsal brain surface of adult male and female lions (Figures 7B,C). No significant sex differences in relative PC or CB+BS were found in lions [t(12) = 0.57, p = 0.58 and t(12) = 0.68, p = 0.51, respectively]. For cougars, no significant sex difference was identified in relative AC [t(11) = 0.20, p = 0.84], but females had a significantly larger relative PC than males [t(11) = 3.32, p = 0.007], while males had a significantly larger relative CB+BS than females [t(11) = 2.67, p = 0.02].

FIGURE 7
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FIGURE 7. Sex differences in AC volume relative to rest of endocranial volume in four felid species (A). Females lions possess a significantly larger relative AC than males [t(12) = 2.54, p = 0.03]. Relative AC volume did not differ by sex in the leopard, cougar or cheetah. Dorsal view of male (B) and female (C) lion endocasts. Bars indicate 95% CI.

Discussion

The relationship between regional brain volumes and sociality was examined in wild-caught representatives of 13 felid species. We found that sociality does not correspond with larger relative brain size in these species. However, a PGLS regression analysis revealed that the interaction of the sociality/solitary variable and rest of endocranial volume has a significant effect on AC volume. Relative AC volume is significantly predicted by rest of endocranial volume in solitary species. The two social felid species, lions and cheetahs, possess the largest and smallest relative AC volumes, respectively. Inter- and intra-specific comparisons of regional brain volumes in four focal species (lions, leopards, cougars, and cheetahs) revealed that lions and leopards have the largest relative AC volumes, and lions exhibit significant sexual dimorphism in relative AC, with larger volumes in females than in males. Based on these results, the functional role in felid behavior of frontal cortex, a major component of AC volume, remains largely unknown and requires further investigation. Nonetheless, these data suggest that within family and within species comparisons reveal patterns not easily detected by broader comparative analyses.

Toward a Felid Cerebrotype

Our observations of a general felid cerebrotype, reflected in characteristic regional brain morphology, is consistent with the remarkable similarities in behavior, diet and ecology noted across the family Felidae (Eaton, 1979; Bekoff et al., 1984; Mellen, 1993). Most member species are found in woodland or woodland fringe terrain, most are nocturnal, most are meat eaters and typically stalk and ambush prey (Eaton, 1979; Bekoff et al., 1984; Mellen, 1993). An inspection of the endocasts and 3D printed models created for each of the 13 species revealed remarkable similarity in gross external brain morphology. The general pattern formed by sulci and gyri exhibited little variation despite a large range in brain size and species relatedness. The configuration and location of major sulci including the lateral sulcus, suprasylvian sulcus, and sylvian sulcus were very similar across species (Figure 3). For example, the anterior and posterior limbs of the ectosylvian sulcus typically remain separate in felids and the pattern formed by, and orientation of, the cruciate sulcus are also relatively constant. The cruciate sulcus is an important sulcus delimiting caudal area 4, the primary motor cortex, from rostral area 4 and the premotor area 6 based on cytoarchitectonic analysis in the cat (Hassler and Muhs-Clement, 1964), dog (Tanaka et al., 1981; Stanton et al., 1986), ferret (McLaughlin et al., 1998), and raccoon (Sakai, 1990). Although this is a limited sample, it is reasonable to infer that the cruciate sulcus similarly demarcates the premotor and rostral motor areas from the caudal motor area in wild felids. Another relatively constant feature of the felid pericruciate region found in most of the studied species is the presence of a post-cruciate sulcus, a small sulcus located posterior to the cruciate sulcus and rostral to the medial and lateral limbs of the ansate sulcus. This sulcus is often quite variable in carnivores, but when present, demarcates the boundary between the somatosensory cortex caudally and the motor cortex rostrally based on electrophysiological mapping studies in the cat (Nieoullon and Rispal-Padel, 1976), dog (Gorska, 1974), and raccoon (Welker and Seidenstein, 1959; Hardin et al., 1968). The remarkable similarities in brain morphology and sulcal patterns among extant felids were previously noted by Radinsky (1969, 1975) and our present observations largely support his descriptions.

Some deviations from the general felid plan were also noted. For example, although the two limbs of the ectosylvian sulcus are typically separate, it is a single complete arch uniting the anterior and posterior ectosylvian sulci inconsistently either between cerebral hemispheres or between individuals in lions and less often in cougars. The middle ectosylvian gyrus contains the primary auditory cortex in the cat (Reale and Imig, 1980) and dog (Tunturi, 1962; Lyras and Van Der Geer, 2003), but it is unclear how the presence of a single complete ectosylvian arch in these species might be functionally related. Second, overall brain shape ranged from a rounded, globose morphology, to a more elongated form across the felid species. In the globose form, the temporal lobes appear more distinct and broader than those found in the elongated form. Radinsky (1975) noted the globose brain shape of cheetahs and Lynx sp. (including Lynx canadensis) and suggested that this form may be more characteristic of smaller felids. Our data confirm that the globose form is found in cheetahs and Lynx canadensis, but also in lions, tigers, cougars, and jaguars. A more elongated brain shape is evident in leopards, ocelots, wildcats, bobcats, Geoffrey’s cats and kodkods. Whether this difference in brain shape is related to felid brain evolution or a consequence of variation in skull morphology is beyond the scope of the present study. However, a recent analysis using geometric morphometrics to examine brain shape evolution in New World monkeys (Aristide et al., 2016) promises to be a useful method in future studies examining convergence of brain phenotypes.

Exceptions to the Rule: Cheetahs and Lions

Despite the relative conservation of behavior, diet, and ecology, along with the remarkable similarities in sulcal and gyral patterns and overall brain shape among felids, two species stand out from the others: cheetahs and lions. These are the only social species in the family, and while relative AC volume is predicted by rest of endocranial volume for solitary species, that was not the case for these social cats. Relative regional brain volumes differ significantly between lions and cheetahs, and also between each of these species and other felids.

The brain morphology of cheetahs is distinctive in at least three respects. First, the post-cruciate sulcus that typically separates motor and somatosensory cortex in felids is absent in cheetahs. Radinsky (1975) first noted this difference and speculated that the absence of this sulcus might be related to limited motor control of limb musculature. Cheetahs are limited in forepaw use (Van Valkenburgh, 1996). The ability to climb trees and manipulate prey is diminished compared to other felids. In tests of forepaw dexterity, cheetahs rank the lowest among felids studied (Iwaniuk et al., 2000). Second, overall brain shape is more globular in cheetahs than in other felids; this appears to reflect the broad expanse of the temporal lobes. Finally, the brain of cheetahs exhibits a distinctive rostral dorsiflexion not found in other cats (Figures 3 and 4C). This dorsiflexion and the associated domed skull likely reflect the cheetah’s unusually large frontal sinuses (O’Regan, 2002; Sicuro and Oliveira, 2011; Curtis and Van Valkenburgh, 2014), which are hypothesized to act as a vascular cooling mechanism facilitating the ability to engage in high speed chases (Salles, 1992; Sicuro and Oliveira, 2011). The unique skull morphology of cheetahs is also thought to improve biting efficiency, allowing the animal to use less muscle force to achieve killing bite strength (Chamoli and Wroe, 2011; Sicuro and Oliveira, 2011). The reduced muscle and bone mass contribute to a lighter body, which may also facilitate increased speed in chase pursuits.

Social life history is sexually divergent in cheetahs. As in most other felids, female cheetahs are typically solitary except when raising young. However, male cheetahs are considered semi-social. They may be solitary (41%) or form coalitions comprised of two (40%) or three (19%) (usually related) individuals (Caro and Collins, 1987; Durant et al., 2004). These male coalitions can last a lifetime. Male coalitions gain a territorial and reproductive advantage in regions where coalitions are common (Durant et al., 2004). Although male coalitions may hunt larger prey than solitary cheetahs, they cooperate little during a hunt (Caro and Kelly, 2001). We expected that the social behavior exhibited by male cheetahs might be reflected in its having a larger relative AC volume than non-social cats (including female cheetahs), similar to the effect found previously in social carnivores such as spotted hyenas (Arsznov et al., 2010), coatimundis (Arsznov and Sakai, 2013), and lions (Arsznov and Sakai, 2012). However, we found that cheetahs possess the smallest anterior cerebrum volume of all species studied here and exhibit no significant sexual dimorphism.

Cheetahs also possess the smallest relative brain volume of the species we sampled. Small brains weigh less and require less energy, factors that might contribute to the remarkable running speeds that cheetahs achieve. The unique morphology of cheetahs might also reflect, at least in part, their unusual genetic history. Cheetahs experienced two severe population bottlenecks, one as many as 10,000 years ago, and a second, as recently as within the last 100 years (O’Brien et al., 1987), resulting in a 95–98% reduction in genetic diversity compared to other (selected) wild felids (Dobrynin et al., 2015). In our sample, the closest relative to cheetahs, cougars, possess both larger relative brain size and larger relative AC volume.

The largest relative AC volume was found in female lions, which are, by far, the most gregarious of felids. The social group, the pride, consists of as many as 21 adult females, offspring and male coalitions (Mosser and Packer, 2009; VanderWaal et al., 2009). Female lions are primarily philopatric and remain social throughout their lives. The pride is a stable social unit lacking a dominance hierarchy. Pride females communally rear their young and may nurse offspring of other pride members. They work together to protect cubs from invading males (Packer et al., 2001) and will also coordinate their movements in hunting large prey and defending their territory (Packer and Pusey, 1997). Male lions, in contrast, disperse upon reaching sexual maturity and live alone or as part of a small coalition of usually brothers or cousins (Packer and Pusey, 1997; VanderWaal et al., 2009). A nomadic male lion may challenge a dominant male to take over a pride, then aggress, often lethally, against young cubs. Typically, a male lion is dominant in the pride for 2–3 years before being displaced. Solitary male lions are less successful hunters than group hunting female lions. Although the lion pride is a fission–fusion society with individuals dispersing and returning to the group (VanderWaal et al., 2009), it is socially cohesive. Social network analysis of both captive origin and wild prides indicate that female lions are central to the social network with adult male lions most likely to receive and least likely to initiate social interactions (Dunston et al., 2016a,b). Male lions are not only less social than female lions, but are also larger and more aggressive than female lions. The cognitive demands associated with social information processing are expected to be greater in female than male lions. Appropriate behavior in response to dominance and aggression demands impulse control and behavioral inhibition. These behaviors are associated with frontal cortex functions in other species, particularly primates (Hauser, 1999; for review, see Passingham and Wise, 2012). Although the role of frontal cortex in felids is not yet known, the finding of a larger relative AC volume in female lions than in other cats (including male lions) might similarly reflect the unusual social demands they encounter.

An association between relative AC volumes and sociality has been found in other carnivore families. The highly social spotted hyena has a larger relative AC volume than other, less social hyenids (Sakai et al., 2011a,b). Similarly, a larger relative AC volume was found in the social coatimundis than in less social procyonids (Arsznov and Sakai, 2013). Moreover, sex differences in relative AC volume were found in both spotted hyenas (Arsznov et al., 2010) and coatimundis (Arsznov and Sakai, 2013), consistent with enhanced social processing demands.

Despite much inquiry, it remains unclear whether enhanced cognitive skills or the cognitive demands of social information processing selectively drive frontal cortex size and/or relative or absolute brain size (Gittleman, 1986; Dunbar, 2011; Smaers et al., 2012; MacLean et al., 2014). A recent study examined performance in 39 carnivore species across nine families and reported that problem solving capabilities corresponded with larger relative brain size but failed to find an association with sociality (Benson-Amram et al., 2016). However, large-scale comparisons can overlook variation occurring at a family level. A similar problem-solving task was applied to study social and solitary felids and found that lions exceeded the performance of leopards and tigers on measures of innovation and exploration in solving a puzzle box problem (Borrego and Gaines, 2016). These authors suggest that the superior cognitive performance exhibited by lions is related to selection pressures associated with sociality. In this regard, it is of interest that here relative AC volume in leopards, a solitary species, did not differ significantly from that found in lions, and was larger than that found in cheetahs, suggesting that factors other than sociality drive AC volume. Of all the wild felids, leopards are especially noted for their behavioral flexibility and adaptability (Hayward and Kerley, 2008; Pitman et al., 2013), behaviors associated with enhanced cognitive processing (Sol, 2009). These results suggest that taxon level analysis as well as within species comparisons lead to results not easily detected by broader comparative analyses. Additional studies examining social, ecological and life history variables associated with regional brain volume differences within carnivoran families are needed. Other carnivoran families such as Mustelidae, Canidae, and Herpestidae exhibit greater variation in social behavior than that found in Felidae. Parallel regional brain analyses within these families are expected to further elucidate the association between sociality and relative frontal cortex volume.

Author Contributions

Conceived and designed study: SS and BL. Collected, analyzed, and interpreted data: AH, EY, BA, BL, and SS. Wrote, revised, and edited: SS, BL, BA, AH, and EY.

Funding

This work was supported by the National Science Foundation (IOS 1146614 to SS).

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The authors are most grateful to the Department of Radiology, Michigan State University, and the University of Wisconsin and Michigan State University Comparative Mammalian Brain Collections (supported by the National Science Foundation). We thank the staff at the following museums for making their specimens available for this study: Field Museum of Natural History (FMNH), Michigan State University (MSU) Museum, University of Michigan Museum of Zoology (UMMZ), and National Museum of Natural History (NMNH). We are especially indebted to the late William Stanley, FMNH collections manager, for facilitating repeated access to those collections.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/article/10.3389/fnana.2016.00099

References

Aristide, L., Dos Reis, S. F., Machado, A. C., Lima, I., Lopes, R. T., and Perez, S. I. (2016). Brain shape convergence in the adaptive radiation of new world monkeys. PNAS 113, 2158–2163. doi: 10.1073/pnas.1514473113

PubMed Abstract | CrossRef Full Text | Google Scholar

Arsznov, B. M., Lundrigan, B. L., Holekamp, K. E., and Sakai, S. T. (2010). Sex and the frontal cortex: a developmental CT study in the spotted hyena. Brain Behav. Evol. 76, 185–197. doi: 10.1159/000321317

PubMed Abstract | CrossRef Full Text | Google Scholar

Arsznov, B. M., and Sakai, S. T. (2012). Pride diaries: sex, brain size and sociality in the African lion (Panthero leo) and cougar (Puma concolor). Brain Behav. Evol. 79, 275–289. doi: 10.1159/000338670

PubMed Abstract | CrossRef Full Text | Google Scholar

Arsznov, B. M., and Sakai, S. T. (2013). The Procyonid Social Club: comparison of brain volumes in the coatimundi (Nasua nasua, N. narica), kinkajou (Potos flavus), and raccoon (Procyon lotor). Brain Behav. Evol. 82, 129–145. doi: 10.1159/000354639

PubMed Abstract | CrossRef Full Text | Google Scholar

Barton, R. A., and Harvey, P. (2000). Mosaic evolution of brain structure in mammals. Nature 405, 1055–1058. doi: 10.1038/35016580

PubMed Abstract | CrossRef Full Text | Google Scholar

Bekoff, M., Daniels, T. J., and Gittleman, J. L. (1984). Life history patterns and the comparative social ecology of carnivores. Annu. Rev. Ecol. Syst. 15, 191–232. doi: 10.1159/000338670

PubMed Abstract | CrossRef Full Text | Google Scholar

Benson-Amram, S., Dantzer, D., Stricker, G., Swanson, E. M., and Holekamp, K. E. (2016). Brain size predicts problem-solving ability in mammalian carnivores. PNAS 113, 2532–2537. doi: 10.1073/pnas.1505913113

PubMed Abstract | CrossRef Full Text | Google Scholar

Borrego, N., and Gaines, M. (2016). Social carnivores outperform asocial carnivores on an innovative problem. Anim. Behav. 114, 21–26. doi: 10.1016/j.anbehav.2016.01.013

CrossRef Full Text | Google Scholar

Bush, E. C., and Allman, J. M. (2004). The scaling of frontal cortex in primates and carnivores. PNAS 101, 3962–3966. doi: 10.1073/pnas.0305760101

PubMed Abstract | CrossRef Full Text | Google Scholar

Caro, T. M., and Collins, D. A. (1987). Male cheetah social organization and territoriality. Ethology 74, 52–64. doi: 10.1111/j.1439-0310.1987.tb00921.x

CrossRef Full Text | Google Scholar

Caro, T. M., and Kelly, M. J. (2001). “Cheetahs and their mating system,” in Model Systems in Behavioral Ecology: Integrating Conceptual, Theoretical and Empirical Approaches, ed. I. A. Dugatkin (Princeton, NJ: Princeton University Press), 512–532.

Google Scholar

Chamoli, U., and Wroe, S. (2011). Allometry in the distribution of material properties and geometry of the felid skull: why larger species may need to change and how they may achieve it. J. Theor. Biol. 283, 217–226. doi: 10.1016/j.jtbi.2011.05.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Clark, D. A., Mitra, P. P., and Wang, S. S. (2001). Scalable architecture in mammalian brains. Nature 411, 189–193. doi: 10.1038/35075564

PubMed Abstract | CrossRef Full Text | Google Scholar

Curtis, A. A., and Van Valkenburgh, C. (2014). Beyond the sniffer: frontal sinuses in Carnivora. Anat. Rec. (Hoboken) 297, 2047–2064. doi: 10.1002/ar.23025

PubMed Abstract | CrossRef Full Text | Google Scholar

Dobrynin, P., Liu, S., Tamazian, G., Xiong, Z., Yurchenko, A. A., Krasheninnikova, K., et al. (2015). Genomic legacy of the African cheetah, Acinonyx jubatus. Genome Biol. 16, 277–296. doi: 10.1186/s13059-015-0837-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Dunbar, R. I. M. (1992). Neocortex size as a constraint on group size in primates. J. Hum. Evol. 20, 469–493. doi: 10.1016/0047-2484(92)90081-J

CrossRef Full Text | Google Scholar

Dunbar, R. I. M. (2011). “Evolutionary basis of the social brain,” in Oxford Handbook of Social Neuroscience, eds J. Decety and J. Cacioppo (Oxford: Oxford University Press), 28–38.

Google Scholar

Dunbar, R. I. M., and Bever, J. (1998). Neocortex size predicts group size in carnivores and some insectivores. Ethology 104, 695–708. doi: 10.1111/j.1439-0310.1998.tb00103.x

CrossRef Full Text | Google Scholar

Dunston, E. J., Abell, J., Doyle, R. E., Evershed, M., and Freire, R. (2016a). Exploring African lion (Pantera leo) behavioural phenotypes: individual differences and correlations between sociality, boldness and behavior. J. Ethol. 34, 277–290. doi: 10.1007/s10164-016-0473-9

CrossRef Full Text | Google Scholar

Dunston, E. J., Abell, J., Doyle, R. E., Krik, J., Hilley, V. B., Forsyth, A., et al. (2016b). An assessment of African lion Panthera leo sociality via social network analysis: prerelease monitoring for an ex situ reintroduction program. Curr. Zool. zow012, 1–11. doi: 10.1093/cz/zow012

CrossRef Full Text | Google Scholar

Durant, S. M., Kelly, M., and Caro, T. M. (2004). Factors affecting life and death in Serengeti cheetahs: environment, age, and sociality. Behav. Ecol. 15, 11–22. doi: 10.1093/beheco/arg098

CrossRef Full Text | Google Scholar

Eaton, R. L. (1979). The evolution of sociality in the Felidae. Carnivore 2, 82–89.

Google Scholar

Finarelli, J. A., and Flynn, J. J. (2009). Brain size evolution and sociality in Carnivora. PNAS 106, 9345–9349. doi: 10.1073/pnas.0901780106

PubMed Abstract | CrossRef Full Text | Google Scholar

Gittleman, J. L. (1986). Carnivore brain size, behavioral ecology, and phylogeny. J. Mammal. 67, 23–36. doi: 10.2307/1380998

CrossRef Full Text | Google Scholar

Gorska, T. (1974). Functional organization of cortical motor areas in adult dogs and puppies. Acta Neurobiol. Exp. 34, 171–203.

PubMed Abstract | Google Scholar

Grafen, A. (1989). The phylogenetic regression. Philos. Trans. R. Soc. Lond. B Biol. Sci. 326, 119–157. doi: 10.1098/rstb.1989.0106

CrossRef Full Text | Google Scholar

Hardin, W. B. Jr., Arumugasamy, N., and Jameson, H. D. (1968). Pattern of localization in ‘precentral’ motor cortex of raccoon. Brain Res. 11, 611–627. doi: 10.1016/0006-8993(68)90149-2

CrossRef Full Text | Google Scholar

Harmon, L. J., Weir, J. T., Brock, C. D., Glor, R. E., and Challenger, W. (2008). GEIGER: investigating evolutionary radiations. Bioinformatics 24, 129–131. doi: 10.1093/bioinformatics/btm538

PubMed Abstract | CrossRef Full Text | Google Scholar

Hassler, R., and Muhs-Clement, K. (1964). Architectonic construction of the sensomotor and parietal cortex in the cat. J. Hirnforsch. 20, 377–420.

PubMed Abstract | Google Scholar

Hauser, M. D. (1999). Perseveration, inhibition and the prefrontal cortex: a new look. Curr. Opin. Neurobiol. 9, 214–222. doi: 10.1016/S0959-4388(99)80030-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Hayward, M. W., and Kerley, G. I. H. (2008). Prey preferences and dietary overlap amongst Africa’s large predators. S. Afr. J. Wildlife Res. 38, 93–108. doi: 10.3957/0379-4369-38.2.93

CrossRef Full Text | Google Scholar

Holekamp, K. E. (2007). Questioning the social intelligence hypothesis. Trends Cogn. Sci. 11, 65–69. doi: 10.1016/j.tics.2006.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Iwaniuk, A. N., and Arnold, K. E. (2004). Is cooperative breeding associated with bigger brains? A comparative test in the Corvida (Passeriformes). Ethology 110, 203–220. doi: 10.1016/j.physbeh.2012.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Iwaniuk, A. N., Pellis, S. M., and Whishaw, I. Q. (2000). The relative important of body size, phylogeny, locomotion and diet in the evolution of oforelimb dexterity in fissiped carnivores (Carnivora). Can. J. Zool. 78, 1110–1125. doi: 10.1139/z00-023

CrossRef Full Text | Google Scholar

Janis, C. (1990). “Correlation of cranial and dental variables with body size in ungulates and macropodoids,” in Body Size in Mammalian Paleobiology, Estimations and Biological Implications, eds J. Damuth and B. J. MacFadden (Cambridge: Cambridge University Press), 255–300.

Johnson, W. E., Eizirik, E., Pecon-Slattery, J., Murphy, W. J., Antunes, A., Teeling, E., et al. (2006). The late Miocene radiation of modern Felidae: a genetic assessment. Science 311, 73–77. doi: 10.1126/science.1122277

PubMed Abstract | CrossRef Full Text | Google Scholar

Lyras, G. A., and Van Der Geer, A. A. E. (2003). External brain anatomy in relation to the phylogeny of Caninae (Carnivora: Canidae). Zool. J. Linn. Soc. 138, 505–522. doi: 10.1046/j.1096-3642.2003.00067.x

CrossRef Full Text | Google Scholar

MacLean, E. L., Hare, B., Nunn, C. L., Addessi, E., Amici, F., and Anderson, R. C. (2014). The evolution of self-control. PNAS 111, E2140–E2148. doi: 10.1073/pnas.1323533111

PubMed Abstract | CrossRef Full Text | Google Scholar

McLaughlin, D. F., Sonty, R. V., and Juliano, S. L. (1998). Organization of the forepaw representation in ferret somatosensory cortex. Somatosens. Mot. Res. 15, 253–268. doi: 10.1080/08990229870673

PubMed Abstract | CrossRef Full Text | Google Scholar

Mellen, J. D. (1993). A comparative analysis of scent-marking, social and reproductive behavior in 20 species of small cats (Felis). Am. Zool. 33, 151–166. doi: 10.1093/icb/33.2.151

CrossRef Full Text | Google Scholar

Mosser, A., and Packer, C. (2009). Group territoriality and the benefits of sociality in the African lion, Panthera leo. Anim. Behav. 78, 359–370. doi: 10.1016/j.anbehav.2009.04.024

CrossRef Full Text | Google Scholar

Nieoullon, A., and Rispal-Padel, L. (1976). Somatotopic localization in cat motor cortex. Brain Res. 105, 405–422. doi: 10.1016/0006-8993(76)90590-4

CrossRef Full Text | Google Scholar

O’Brien, S. J., Wildt, D. E., Caro, T. M., FitzGibbon, C., Aggundey, I., and Leakey, R. E. (1987). East African cheetahs: evidence for two population bottlenecks? PNAS 84, 508–511. doi: 10.1073/pnas.84.2.508

PubMed Abstract | CrossRef Full Text | Google Scholar

O’Regan, H. J. (2002). Defining cheetahs, a multivariate analysis of skull shape in big cats. Mammal Rev. 32, 58–62. doi: 10.1046/j.1365-2907.2002.00093.x

CrossRef Full Text | Google Scholar

Packer, C., and Pusey, A. (1997). Divided we fall: cooperation among lions. Sci. Am. 276, 52–59. doi: 10.1038/scientificamerican0597-52

CrossRef Full Text | Google Scholar

Packer, C., Pusey, A. E., and Eberly, L. E. (2001). Egalitarianism in female African lions. Science 293, 690–693. doi: 10.1126/science.1062320

PubMed Abstract | CrossRef Full Text | Google Scholar

Paradis, E., Claude, J., and Strimmer, K. (2004). APE: analysis of phylogenetics and evolution in R language. Bioinformatics 20, 289–290.

Google Scholar

Passingham, R. E., and Wise, S. P. (2012). The Neurobiology of the Prefrontal Cortex: Anatomy, Evolution, and the Origin of Insight. Oxford: Oxford University Press.

Google Scholar

Perez-Barberia, F. J., Shultz, S., and Dunbar, R. I. M. (2007). Evidence for coevolution of sociality and relative brain size in three orders of mammals. Evolution 61, 2811–2821. doi: 10.1111/j.1558-5646.2007.00229.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Pinheiro, J., Bates, D., DebRoy, S., Sarkar, D., and R Core Team. (2014). nlme: Linear and Nonlinear Mixed Effects Models. R Package v. 3.1-117. Available at http://CRAN.R-project.org/package=nlme

Google Scholar

Pitman, R. T., Kilian, P. J., Ramsay, P. M., and Swanepoel, L. H. (2013). Foraging and habitat specialization by female leopards (Panthera pardus) in the Waterberg Mountains of South Africa. S. Afr. J. Wildlife Res. 43, 167–176. doi: 10.1159/000339644

PubMed Abstract | CrossRef Full Text | Google Scholar

R Core Team (2014). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.

Google Scholar

Radinsky, L. (1969). Outlines of canid and felid brain evolution. Ann. N.Y. Acad. Sci. 167, 277–288. doi: 10.1111/j.1749-6632.1969.tb20450.x

CrossRef Full Text | Google Scholar

Radinsky, L. (1975). Viverrid neuroanatomy: phylogenetic and behavioral implications. J. Mammal. 56, 130–150. doi: 10.2307/1379612

PubMed Abstract | CrossRef Full Text | Google Scholar

Radinsky, L. (1984). Basicranial axis length v. skull length in analysis of carnivore skull shape. Biol. J. Linn. Soc. 22, 31–41. doi: 10.1111/j.1095-8312.1984.tb00797.x

CrossRef Full Text | Google Scholar

Reale, R. A., and Imig, T. J. (1980). Tonotopic organization in auditory cortex of the cat. J. Comp. Neurol. 192, 265–291. doi: 10.1002/cne.901920207

PubMed Abstract | CrossRef Full Text | Google Scholar

Reep, R. L., Finlay, B. L., and Darlington, R. B. (2007). The limbic system in mammalian brain evolution. Brain Behav. Evol. 70, 57–70. doi: 10.1159/000101491

PubMed Abstract | CrossRef Full Text | Google Scholar

Sakai, S. T. (1990). Corticospinal projections from areas 4 and 6 in the raccoon. Exp. Brain Res. 79, 240–248. doi: 10.1007/BF00608232

PubMed Abstract | CrossRef Full Text | Google Scholar

Sakai, S. T., Arsznov, B. M., Lundrigan, B. L., and Holekamp, K. E. (2011a). Brain size and social complexity: a computed tomography study in Hyaenidae. Brain Behav. Evol. 77, 91–104. doi: 10.1159/000323849

PubMed Abstract | CrossRef Full Text | Google Scholar

Sakai, S. T., Arsznov, B. M., Lundrigan, B. L., and Holekamp, K. E. (2011b). Virtual endocasts: an application of computed tomography in the study of brain variation among hyenas. Ann. N. Y. Acad. Sci. 1225(Suppl. 1), E160–E170. doi: 10.1111/j.1749-6632.2011.05988.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Salles, L. O. (1992). Felid Phylogenies: Extant Taxa and Skull Morphology (Felidae, Aeluroidea) American Museum Novitiates no. 3047. New York, NY: American Museum of Natural History.

Sicuro, F. L., and Oliveira, L. F. B. (2011). Skull morphology and functionality of extant Felidae (Mammalia: Carnivora): a phylogenetic and evolutionary perspective. Zool. J. Linn. Soc. Lond. 161, 414–462. doi: 10.1111/j.1096-3642.2010.00636.x

CrossRef Full Text | Google Scholar

Smaers, J. B., Dechmann, D. K. N., Goswami, A., Soligo, C., and Safi, K. (2012). Comparative analyses of evolutionary rates reveal different pathways to encephalization in bats, carnivorans, and primates. PNAS 109, 18006–18011. doi: 10.1073/pnas.1212181109

PubMed Abstract | CrossRef Full Text | Google Scholar

Sol, D. (2009). Revisiting the cognitive buffer hypothesis for the evolution of large brains. Biol. Lett. 5, 130–133. doi: 10.1098/rsbl.2008.0621

PubMed Abstract | CrossRef Full Text | Google Scholar

Stanton, G. B., Tanaka, D. Jr., Sakai, S. T., and Weeks, O. I. (1986). Thalamic afferents to cytoarchitectonic subdivisions of area 6 on the anterior sigmoid gyrus of the dog: a retrograde and anterograde tracing study. J. Comp. Neurol. 252, 446–467. doi: 10.1002/cne.902520403

PubMed Abstract | CrossRef Full Text | Google Scholar

Swanson, E. M., Holekamp, K. E., Lundrigan, B. L., Arsznov, B. M., and Sakai, S. T. (2012). Multiple determinants of whole and regional brain volume among terrestrial carnivorans. PLoS ONE 7:e38447. doi: 10.1371/journal.pone.0038447

PubMed Abstract | CrossRef Full Text | Google Scholar

Tanaka, D., Gorska, T., and Dutkiewicz, K. (1981). Corticostriate projections from the primary motor cortex in the dog. Brain Res. 209, 287–303. doi: 10.1016/0006-8993(81)90154-2

CrossRef Full Text | Google Scholar

Tunturi, A. R. (1962). Frequency arrangement in anterior ectosylvian auditory cortex. Am. J. Physiol. 203, 185–193.

Google Scholar

Uphyrkina, O., Johnson, W. E., Quigley, H., Migquelle, D., Marker, L., Bush, M., et al. (2001). Phylogenetics, genomic diversity and origin of modern leopard, Panthera pardus. Mol. Ecol. 10, 2617–2633. doi: 10.1046/j.0962-1083.2001.01350.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Van Valkenburgh, B. (1990). “Skeletal and dental predictors of body mass in carnivores,” in Body Size in Mammalian Paleobiology: Estimation and Biological Implications, eds J. Damuth and B. J. MacFadden (New York, NY: Cambridge University Press), 181–206.

Google Scholar

Van Valkenburgh, B. (1996). Feeding behavior in free-ranging, large African carnivores. J. Mammal. 77, 240–254. doi: 10.2307/1382725

CrossRef Full Text | Google Scholar

VanderWaal, K. L., Mosser, A., and Packer, C. (2009). Optimal group size, dispersal decisions and posterdispersal relationships in female African lions. Anim. Behav. 77, 949–954. doi: 10.1016/j.anbehav.2008.12.028

CrossRef Full Text | Google Scholar

Welker, W. I., and Seidenstein, S. (1959). Somatic sensory representation in the cerebral cortex of the raccoon (Procyon lotor). J. Comp. Neurol. 111, 469–501. doi: 10.1002/cne.901110306

CrossRef Full Text | Google Scholar

Willemet, R. (2012). Understanding the evolution of mammalian brain structures; the need for a (new) cerebrotype approach. Brain Sci. 2, 203–224. doi: 10.3390/brainsci2020203

PubMed Abstract | CrossRef Full Text | Google Scholar

Yamaguchi, N., Kitchener, A. C., Gilissen, E., and MacDonald, D. W. (2009). Brain size of the lion (Panthera leo) and the tiger (P. tigris): implications for intrageneric phylogeny, intraspecific differences and the effets of captivity. Biol. J. Linn. Soc. 98, 85–93. doi: 10.1111/j.1095-8312.2009.01249.x

CrossRef Full Text | Google Scholar

Keywords: endocast, frontal cortex, computed tomography, lion, cheetah, leopard

Citation: Sakai ST, Arsznov BM, Hristova AE, Yoon EJ and Lundrigan BL (2016) Big Cat Coalitions: A Comparative Analysis of Regional Brain Volumes in Felidae. Front. Neuroanat. 10:99. doi: 10.3389/fnana.2016.00099

Received: 28 July 2016; Accepted: 28 September 2016;
Published: 20 October 2016.

Edited by:

Suzana Herculano-Houzel, Vanderbilt University, USA

Reviewed by:

Rogier B. Mars, University of Oxford, UK
Andrew Iwaniuk, University of Lethbridge, Canada

Copyright © 2016 Sakai, Arsznov, Hristova, Yoon and Lundrigan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sharleen T. Sakai, sakai@msu.edu

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