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PLOS One logoLink to PLOS One
. 2013 Nov 19;8(11):e79585. doi: 10.1371/journal.pone.0079585

Functional Implications of Ubiquitous Semicircular Canal Non-Orthogonality in Mammals

Jeri C Berlin 1,*, E Christopher Kirk 1,2, Timothy B Rowe 1,3
Editor: Andrew A Farke4
PMCID: PMC3834179  PMID: 24260256

Abstract

The ‘canonical model’ of semicircular canal orientation in mammals assumes that 1) the three ipsilateral canals of an inner ear exist in orthogonal planes (i.e., orthogonality), 2) corresponding left and right canal pairs have equivalent angles (i.e., angle symmetry), and 3) contralateral synergistic canals occupy parallel planes (i.e., coplanarity). However, descriptions of vestibular anatomy that quantify semicircular canal orientation in single species often diverge substantially from this model. Data for primates further suggest that semicircular canal orthogonality varies predictably with the angular head velocities encountered in locomotion. These observations raise the possibility that orthogonality, symmetry, and coplanarity are misleading descriptors of semicircular canal orientation in mammals, and that deviations from these norms could have significant functional consequences. Here we critically assess the canonical model of semicircular canal orientation using high-resolution X-ray computed tomography scans of 39 mammal species. We find that substantial deviations from orthogonality, angle symmetry, and coplanarity are the rule for the mammals in our comparative sample. Furthermore, the degree to which the semicircular canals of a given species deviate from orthogonality is negatively correlated with estimated vestibular sensitivity. We conclude that the available comparative morphometric data do not support the canonical model and that its overemphasis as a heuristic generalization obscures a large amount of functionally relevant variation in semicircular canal orientation between species.

Introduction

Detection of angular head accelerations is mediated by the semicircular canals of the inner ear. Each semicircular canal consists of a toroidal bony passage within the petrous portion of the temporal bone and contains an endolymph-filled duct. When the head rotates, inertial drag of endolymph within the duct acts upon sensory hair cells that modulate the firing rates of primary vestibular afferent neurons. Firing rates are either increased or decreased depending on the direction of head rotation [1]. The excitatory and inhibitory signals from all six semicircular canals are combined in the brain to generate reflexive movements that help to stabilize the eyes and head when the body is in motion [2].

In contrast with more readily accessible peripheral sense organs like the eye, the fact that the inner ear is encased within dense bone has hampered the comparative study of semicircular canal anatomy. This limitation, combined with the assumption that the three canals in each inner ear evolved to optimally detect rotations in each of the three orthogonal spatial dimensions, led researchers to rely on a series of simplifying assumptions about semicircular canal anatomy that are seldom critically examined. According to this “canonical model” of semicircular canal morphology, the plane of each canal is orthogonal to the planes of the other two ipsilateral canals so that all three canals in a single inner ear intersect at 90° angles [3][9]. Furthermore, contralateral semicircular canals are assumed to be essentially identical in dimension and orientation [4], [10]. As a result, corresponding left and right canal pairs are expected to have equivalent angles and contralateral synergistic canals are expected to occupy parallel planes (Figure 1). These three basic components of the model, including orthogonality, angle symmetry, and coplanarity, are stated explicitly or implicitly in nearly every textbook or academic review covering the vestibular system [11][16]. Nonetheless, some empirical studies that measured semicircular canal orientation in a limited range of species reported results that are considerably divergent from the canonical model [e.g. 17], [18][23]. Humans, for example, are reported to have ipsilateral canal pairs that differ by as much as 22° from orthogonality [17].

Figure 1. Bony inner ear endocast of Petauroides volans (AMNH 150055) showing embedded head-centered reference planes and SCC canal pair types.

Figure 1

A, dorsal view showing X, Y, and Z axes. Center point occurs at intersection of all three planes. Axial plane = YZ reference plane passing through the interaural line; frontal plane = XY reference plane defined by Reid's Plane (perpendicular to viewer); sagittal plane = XZ reference plane passing through central features. B, Left lateral view with sagittal plane perpendicular to viewer. Abbreviations: A, ampulla; C, cochlea; CC, common crus; LASC, left anterior semicircular canal; LLSC, left lateral semicircular canal; LPSC, left posterior semicircular canal; R, arc radius of curvature of the left anterior semicircular canal; S, saccule; U, utricle.

The comparative morphology of semicircular canals is important because canal orientation ostensibly influences vestibular function [24][26]. However, most comparative analyses have examined the relationship between semicircular canal radius of curvature and locomotor agility [27][31]. Although radius of curvature is a major determinant of the sensitivity in each canal, the orientations of all six canals also help determine the relative sensitivity of the vestibular system to angular accelerations in three dimensions [15], [24][26], [32].

As a result, some authors have incorporated canal orientation in their calculations of vestibular sensitivity to angular accelerations [25], [33], [34]. To date, the largest comparative analysis of three-dimensional vestibular sensitivity focused on semicircular canal morphology and locomotor kinetics in 11 species of strepsirrhine primates [35]. This study found substantial variation between species in the homogeneity of three dimensional sensitivity maps, and demonstrated that strepsirrhines with more orthogonal canals tend to encounter higher angular head velocities during locomotion. More broadly, this analysis also provided evidence that deviations from canal orthogonality have important consequences for vestibular function.

In contrast to early studies of vestibular anatomy that relied on gross dissection or histology (11, 12, 19, 22, 28–30), computed tomography is now the standard for studies of semicircular canal morphology because it is nondestructive, quantitative, and can provide excellent resolution of internal cranial spaces [36], [37]. We used high-resolution x-ray computed tomography scans of bilateral inner ear labyrinths to quantify semicircular canal size and orientation in 39 extant species from 11 mammalian orders (Table 1). For each taxon in our sample, these data were used to quantify mean deviations of ipsilateral semicircular canal pairs from orthogonality (90var), the degree to which corresponding contralateral canal pair angles differ (Angle Symmetrydev), and the degree to which synergistic canal pairs deviate from coplanarity (Coplanaritydev). The term 90var was introduced by Malinzak et al. as the sum of the absolute value of the difference between each of three unilateral ipsilateral canal pair angle and 90° [35]. Here we calculate 90var by summing the absolute value of the difference between all six ipsilateral semicircular canal pair angles and 90°, and taking the mean (see below).

Table 1. Taxa, museum specimen number, High Resolution X-ray Computed Tomography image slices used for skull images, spacing between image slices in image stack, Field of Reconstruction, and image slice pixel size.

Taxon Common Name Museum Specimen Number Number of slices Interslice Spacing (mm) Field of Recon-struction (mm) File size (pixels)
Acrobates pygmaeus Pygmy Gliding Possum AMNH 155057 406 0.03 28.0 1024×1024
Allactaga major Five-toed Jerboa AMNH 178795 1170 0.04 37.0 1024×1024
Anomalurus beecrofti Scaly-tailed Flying Squirrel AMNH 50483 1270 0.04 39.0 1024×1024
Caluromys sp. Woolly Opossum AMNH 95526 746 0.08 38.0 1024×1024
Cavia porcellus Guinea Pig TMM M-7283 1524 0.04 42.0 1024×1024
Cercartetus caudatus Dormouse Possum AMNH 155090 705 0.04 18.0 1024×1024
Chinchilla laniger Chinchilla Hullar 1887 0.04 40 1024×1024
Chironectes minimus Water Opossum AMNH 129701 1522 0.04 33.0 1024×1024
Chrysochloris sp. Golden Mole AMNH 82372 513 0.05 31.0 1024×1024
Crocuta crocuta Hyena UCMVZ 184551 528 0.50 166.0 512×512
Dactylopsila trivirgata Striped Possum AMNH 104040 1301 0.05 45.0 1024×1024
Dolichotis patagonum Patagonian Hare AMNH 80078 1705 0.07 56.2 1024×1024
Dromiciops gliroides Monito del Monte FMNH 127463 711 0.04 16.6 1024×1024
Enhydra lutris Sea Otter SO 2853-97 645 0.22 106.0 1024×1024
Felis catus Domestic Cat TMM M-628 606 0.15 70.0 1024×1024
Glaucomys volans Eastern Flying Squirrel TMM M-6332 474 0.08 22.9 522×522
Hemibelideus lemuroides Brush-tipped Ring-tailed Possum AMNH 154375 1207 0.05 40.0 1024×1024
Heterocephalus glaber Naked Mole Rat AMNH 113974 1050 0.02 21.0 1024×1024
Lepus californicus Hare TMM M-7500 660 0.14 67.0 1024×1024
Meriones unguiculatus Gerbil TMM M-05306 1394 0.02 23.0 1024×1024
Monodelphis domestica Short-tailed Opossum TMM M-9039 885 0.14 21.0 1024×1024
Mus musculus House Mouse TMM M-3196 737 0.03 13.5 1024×1024
Notoryctes typhlops Marsupial Mole AMNH 202107 705 0.04 18.0 1024×1024
Ornithorhynchus anatinus Duck-billed Platypus TMM M-5899 1998 0.05 43.0 1024×1024
Pedetes capensis Springhare AMNH 42016 1145 0.07 67.0 1024×1024
Petauroides volans Greater Gliding Possum AMNH 150055 1251 0.05 48.0 1024×1024
Petaurus breviceps Sugar Glider TMM M-8226 555 0.07 33.0 1024×1024
Petropseudes dahli Rock Possum AMNH 183391 1424 0.05 46.0 1024×1024
Potorous tridactylus Long-nosed Potoroo AMNH 65337 915 0.01 48.0 1024×1024
Pseudocheirus peregrinus Common Ring-tailed Possum TMM M-847 795 0.09 43.0 1024×1024
Pseudochirops cupreus Coppery Ring-tailed Possum AMNH 151829 1289 0.05 49.5 1024×1024
Pseudochirulus forbesi New Guinean Ring-tailed Possum AMNH 104136 1339 0.03 33.0 1024×1024
Rattus norvegicus Brown Rat TMM M-2272 1571 0.03 28.0 1024×1024
Saimiri sciureus Squirrel Monkey NSm7 310 0.07 64.0 1024×1024
Sciurus niger Fox Squirrel UMMZ 123729 450 0.16 44.4 512×512
Talpa europaea Old World Mole UCLGMZ 5437 585 0.06 18.5 1024×1024
Tarsipes rostratus Honey Possum AMNH 119717 921 0.03 13.0 1024×1024
Vulpes vulpes Red Fox UCLA 13112 825 0.17 80.0 1024×1024
Wallabia bicolor Swamp Wallaby TMM M-4169 885 0.16 74.5 1024×1024

Museum Abbreviations: AMNH, American Museum of Natural History, New York; FMNH, Field Museum of Natural History, Chicago; TMM, Texas Natural Science Centers, Vertebrate Paleontology, Austin; UCL GMZ, University College, London Grant Museum of Zoology; SO, University of California Los Angeles Museum; UCLA, University of California Los Angeles; UCMVZ, University of California Museum of Vertebrate Zoology, Berkeley; UMMZ, University of Michigan Museum of Zoology, Ann Arbor.

We also used bilateral measurements of the size and orientation of all six semicircular canals to estimate the maximum (Sensitivitymax) and average (Sensitivityave) sensitivity of the vestibular system to angular accelerations in three dimensions. These data for a large and taxonomically diverse sample allowed us to examine the degree to which orthogonality, symmetry, and coplanarity are characteristic of mammalian semicircular canals and to determine whether deviations from these norms are correlated with interspecific differences in estimated vestibular sensitivity.

Materials and Methods

The crania of 39 extant mammals, each representing a different genus, were scanned at the University of Texas High-Resolution X-ray Computed Tomography Facility (Austin, Texas). This facility maintains an archive of all scans used in this analysis. Taxon, museum specimen number, and scan parameters for each cranium used in this study are listed in Table 1. With the exception of Chinchilla, for which a preexisting scan was made available by Dr. Timothy Hullar, all cranial specimens used in this analysis were scanned with the permission of the museums listed in Table 1. All crania were scanned bilaterally, ensuring that both the right and left semicircular canals were scanned in situ. This bilateral scanning protocol allowed measurements of contralateral canal pairs, a parameter that is rarely measured. Bilateral scanning also permitted the calculation of the vestibular sensitivity of each specimen to head rotations in three dimensions. The resulting image stacks were imported into VGStudioMax© (Versions 1.2 and 2.0; Volume Graphics GmbH, 2004 and 2007) for 3D imaging and analysis.

For the present study, canal angle comparisons required stable head-centered reference planes, especially for angle comparison of contralateral canals. Three reference planes were determined and segmented into the 3D digital images before any other analysis was undertaken. The terminology follows that of vestibular researchers [e.g.], [ 22], [24,26]. Approximately eight small reference segments along the median sutures of the skull images (e.g., nasals, nasion, bregma, and medial palatine sutures) were aligned in a best-fit plane to define the vertical sagittal (XZ) plane. Numerous previous authors assumed that the LSC represents the horizontal plane of a live animal's head orientation, thus the alternative designation of the canal as the horizontal semicircular canal [e.g.], [ 26], [38,39], but that also assumed that both the left and right lateral canals lie within the same horizontal plane. Because this assumption is not correct (see below), we used bilateral measurements of Reid's line (the line extending from the lower edge of the orbit to the center of the aperture of the external auditory canal [40] to define the horizontal/frontal plane (XY). The axial (YZ) plane contained the line connecting the two external auditory meatuses (interaural line) perpendicular to the frontal and sagittal reference planes. The positive X axis of the resultant head-centered reference system passed through the rostrum, the positive Y axis passed through the left meatus, and the positive Z axis passed dorsally through the skull. Such a coordinate system was fitted successfully to all specimens except a Thylacinus, which was discarded for phylogenetic purposes.

Images were thresholded in VGStudioMax based on the density of the petrosal using the VGStudio density averaging tool. The selected region of the bony labyrinth was subsequently outlined for each CT slice image in VGStudioMax and added together to produce segments representing endocasts of both bony labyrinths in each specimen. A resulting file of the reference planes and bony labyrinth endocasts for Petauroides volans is shown in Figure 1. For our determination of canal orientations with regard to the reference planes in VGStudioMax, we used a measurement tool to select an array of points (∼60–100 per canal) representing the lumen centers of a canal from the end of the ampulla, around the canal and including the common crus. A circle circumference for each canal was calculated by a linear regression best-fit of the selected lumen points. The radius to the semicircular canal circumference (R, in mm) was recorded for use in sensitivity calculations. The fitpoints were imported into a VGStudioMax best-fit calculation to obtain the plane containing that semicircular canal [19], defined by coordinates of the unit normal axis perpendicular to that plane. A plane's normal line has no polarity, but each semicircular canal can be rotated in a direction that provides an increase in afferent neuron firing rate (excitatory direction) or it may be rotated in the opposite direction to produce a decrease in afferent neuron firing rate (inhibitory direction). To express this additional information, the normal line, serving as an axis of rotation, was polarized to give a vector (V) showing excitatory sensitivity direction according to the right-hand rule as described by Ezure and Graf [19] and utilized by Calabrese and Hullar [22]. Mathematical calculation of angles between all canals was performed in VGStudioMax, with corrections to ensure all angles are internal (in lateral direction of skull) [see 19,41]. Naming convention of the angles closely follows that of Spoor and Zonneveld [42]. For example, LASC∡LLSC refers to the angle between the left anterior semicircular canal and the left lateral semicircular canal. All angles measured for each species are listed in Table 2, and summary data for ipsilateral canal angles and synergistic contralateral canals are provided in Table 3. The summary angular data in Table 3 includes both arithmetic means with standard deviations, as well as mean directions with circular standard deviations calculated by treating our data as vectors [43]. The arithmetic mean and mean direction for these data demonstrated negligible differences (i.e., ≦0.02°), while the circular standard deviation is less than the arithmetic standard deviation (Table 3). In all analyses, our angular measurements were quantified as the absolute value of the deviation from an expected value (either 90° or 180°; see below). Although these measurements are expressed in degrees, the data used in all analyses are scalar and do not require the use of circular statistics.

Table 2. Summary of semicircular canal angle relationships.

Taxon LASC ∡LLSC IPS LASC ∡LPSC IPS LLSC ∡LPSC IPS RASC ∡RLSC IPS RASC ∡RPSC IPS RLSC ∡RPSC IPS LASC ∡RPSC SYN LPSC ∡RASC SYN LLSC ∡RLSC SYN
Acrobates 103.86 90.54 81.01 98.35 89.17 86.43 7.63 9.86 8.95
Allactaga 72.26 82.03 86.86 71.09 83.50 84.69 19.58 19.55 10.55
Anomalurus 86.65 104.52 97.34 88.10 102.05 97.77 4.39 7.52 1.44
Caluromys 83.19 96.48 89.63 77.14 97.75 87.54 10.36 10.03 26.72
Cavia 82.29 86.47 85.12 88.99 87.10 84.44 7.11 6.69 1.19
Cercartetus 84.15 91.73 87.35 81.53 87.41 84.80 9.97 7.99 25.90
Chinchilla 86.19 84.87 83.58 74.51 87.09 81.58
Chironectes 82.09 104.33 91.91 77.84 93.55 93.34 19.10 11.69 20.25
Chrysochloris 58.82 86.41 103.87 71.65 84.12 91.58 15.48 10.06 14.71
Crocuta 80.54 95.71 99.05 81.39 94.32 90.01 3.59 8.48 13.20
Dactylopsila 82.82 89.83 94.77 88.04 95.08 96.03 9.25 2.69 7.16
Dolichotis 88.13 89.25 88.36 74.61 75.16 89.79 14.26 1.58 17.54
Dromiciops 92.87 89.71 92.39 88.75 101.19 94.69 19.17 14.68 15.72
Enhydra 89.35 98.42 91.64 91.16 102.79 83.18 3.91 0.51 8.55
Felis 87.27 83.62 81.94 83.79 84.62 81.65 12.57 11.53 10.75
Glaucomys 86.71 90.28 94.48 82.19 87.17 89.96 5.66 12.71 18.26
Hemibelideus 83.86 105.74 91.00 78.14 102.18 85.44 10.91 9.13 3.27
Heterocephalus 79.61 96.08 96.45 77.65 90.61 97.21 10.84 10.96 20.34
Lepus 87.92 93.87 87.13 87.87 95.84 87.45 4.60 5.19 0.61
Meriones 88.92 87.66 82.46 84.03 89.03 86.05 1.66 2.55 4.49
Monodelphis 83.90 95.99 91.06 81.31 99.56 89.32 15.05 17.04 24.19
Mus 85.82 78.08 85.21 85.84 84.89 85.26 6.09 10.45 9.91
Notoryctes 78.61 121.21 93.47 68.23 107.69 82.78 6.74 9.29 17.44
Ornithorhynchus 82.12 80.10 82.98 75.70 82.23 88.63 4.56 6.70 21.67
Pedetes 94.52 93.63 89.23 91.36 93.12 89.25 6.64 2.63 3.00
Petauroides 82.95 98.23 85.29 79.67 93.42 86.31 11.04 15.03 22.29
Petaurus 80.42 89.18 98.58 86.01 91.33 102.68 2.00 4.85 3.21
Petropseudes 76.77 89.07 93.20 89.48 89.09 90.86 15.74 14.14 3.61
Potorous 91.64 88.35 88.41 94.76 87.65 88.32 5.74 4.63 5.01
Pseudocheirus 84.86 93.67 92.90 84.10 98.52 90.41 19.13 24.15 6.42
Pseudochirops 93.28 83.83 104.81 87.93 87.37 85.92 11.87 15.29 9.53
Pseudochirulus 92.18 104.50 98.10 89.71 101.19 103.14 9.93 2.32 7.64
Rattus 88.64 87.63 79.72 84.10 87.33 81.97 11.65 9.96 8.22
Saimiri 85.97 79.77 89.55 87.26 76.24 88.10 7.97 12.29 5.52
Sciurus 79.26 86.88 90.60 84.04 82.88 91.93 5.54 1.71 6.10
Talpa 76.67 105.11 89.71 78.48 91.73 100.71 7.09 7.47 8.21
Tarsipes 97.36 104.25 92.06 101.85 98.42 90.51 10.04 4.21 10.24
Vulpes 87.46 83.76 97.34 88.49 91.52 102.77 8.02 12.97 5.14
Wallabia 85.39 87.79 92.37 89.71 93.25 91.73 11.82 18.59 19.54
Mean 85.01 92.27 90.79 83.97 91.47 89.85 9.65 9.40 11.22
Standard Deviation 7.40 8.91 5.97 7.32 7.38 5.89 4.90 5.52 7.51

Includes angles between all three pairs of ipsilateral for left and right sides, angles between left and right contralateral angle pairs, and angles between three synergistic canal pairs, all in degrees. IPS: ipsilateral canal pair angle, SYN: synergistic canal pair angle.

Table 3. Summary data for the 39 mammalian species in the comparative sample.

ASC ∡LSC IPS ASC ∡PSC IPS LSC ∡PSC IPS ASC ∡PSC SYN LSC ∡LSC SYN
Arithmetic Mean 84.49 91.87 90.32 9.52 11.22
Arithmetic Standard Deviation 7.33 8.14 5.91 5.19 7.51
Mean Direction 84.50 91.85 90.32 9.52 11.21
Circular Standard Deviation 4.80 5.32 3.87 3.40 4.88

IPS: ipsilateral canal pair angle, SYN: synergistic canal pair angle. All angles in degrees.

Orthogonality, Symmetry, and Coplanarity Calculations

We quantified semicircular canal orientation by comparing the deviations of canal pair angles from the expected normative values. Deviation from orthogonality (90var) [35] was calculated by taking the absolute value of the difference between each canal pair angle and 90°, adding those difference for all six ipsilateral canal pairs, and dividing by six. Deviation from side to side semicircular canal angle symmetry (Angle Symmetrydev) was calculated as the absolute value of the difference between the left canal pair angle and the corresponding right canal pair angle. To quantify deviation from coplanarity (Coplanaritydev) we first subtracted the angle between each synergistic contralateral canal pair from 180°. We then summed the absolute value of this difference for each of the three synergistic canal pairs and divided by 3. Values for these variables are given in Table 4.

Table 4. Deviations from orthogonality (90var), side-to-side angle symmetry (Angle Symmetrydev), and synergistic canal coplanarity (Coplanaritydev).

Taxon 90var Angle Symmetrydev Coplanaritydev Smax Save OSmax OSave
Acrobates 6.02 4.10 8.83 0.42 0.34 0.39 0.34
Allactaga 9.93 1.60 16.56 1.35 1.05 1.22 1.05
Anomalurus 7.82 1.45 4.44 1.23 0.99 1.14 0.99
Caluromys 6.12 3.13 15.70 0.68 0.56 0.65 0.56
Cavia 4.27 2.67 5.00 1.17 0.97 1.12 0.97
Cercartetus 4.42 3.16 14.32 0.49 0.34 0.40 0.34
Chinchilla 7.03 5.30 1.39 1.10 1.27 1.1
Chironectes 7.20 5.49 17.01 0.71 0.59 0.68 0.59
Chrysochloris 12.41 9.13 13.41 0.38 0.27 0.32 0.27
Crocuta 6.20 3.76 8.41 2.17 1.78 2.07 1.78
Dactylopsila 4.20 3.91 6.40 0.87 0.72 0.84 0.72
Dolichotis 5.78 9.68 11.13 1.62 1.30 1.50 1.3
Dromiciops 3.78 5.97 16.53 0.38 0.32 0.37 0.32
Enhydra 5.25 4.88 4.36 1.62 1.30 1.50 1.3
Felis 6.19 1.59 11.62 1.42 1.07 1.24 1.07
Glaucomys 3.12 4.05 12.21 0.88 0.74 0.85 0.74
Hemibelideus 8.58 4.95 7.79 1.52 1.17 1.37 1.17
Heterocephalus 7.18 2.73 14.04 0.41 0.33 0.39 0.33
Lepus 3.22 0.78 3.48 1.35 1.13 1.31 1.13
Meriones 3.64 3.28 2.90 0.83 0.68 0.78 0.68
Monodelphis 5.35 2.64 18.76 0.46 0.37 0.44 0.37
Mus 5.82 2.29 8.82 0.26 0.21 0.25 0.21
Notoryctes 15.45 11.55 11.14 0.38 0.27 0.32 0.27
Ornithorhynchus 8.04 4.73 10.98 1.12 0.90 1.05 0.9
Pedetes 2.36 1.23 4.05 1.58 1.32 1.53 1.32
Petauroides 6.24 3.04 16.12 1.11 0.92 1.07 0.92
Petaurus 6.16 3.95 3.39 0.73 0.58 0.67 0.58
Petropseudes 3.27 5.02 11.16 1.16 0.93 1.08 0.93
Potorous 2.28 1.31 5.11 1.20 0.99 1.15 0.99
Pseudocheirus 4.42 2.70 16.57 1.16 0.95 1.11 0.95
Pseudochirops 5.51 9.26 12.23 1.11 0.92 1.07 0.92
Pseudochirulus 8.24 3.61 6.63 1.00 0.79 0.92 0.79
Rattus 5.10 2.36 9.94 0.75 0.63 0.73 0.63
Saimiri 5.52 2.09 10.13 1.32 1.05 1.21 1.05
Sciurus 4.91 3.37 4.47 1.65 1.32 1.53 1.32
Talpa 8.78 8.73 7.57 0.59 0.48 0.56 0.48
Tarsipes 7.41 8.86 8.15 0.26 0.20 0.23 0.2
Vulpes 5.32 4.74 8.72 1.62 1.30 1.51 1.3
Wallabia 2.41 3.47 16.66 1.81 1.55 1.81 1.55

Sensitivities calculated from canal dimensions [32] and angles from Table 2. Hypothetical ‘Orthogonal Sensitivity’ calculated by forcing all canal angles to be orthogonal and symmetrical, but keeping all R dimensions as originally measured.

Sensitivity Calculations

A rotation of the head in the plane of a given semicircular canal (i.e. around V) increases the firing rate of the vestibular nerve cells in that canal above a resting rate (in spikes · sec−1), or decreases the firing rate (axis opposite to V). The rate of nerve cell firing change is proportional to R and the speed of rotation (in degrees · sec−1), and is referred to as the sensitivity of the canal to rotation (in spikes · sec−1/degrees · sec−1) [16], [24], [25], [32]. A head rotation around an axis with orientation X changes the sensitivity of the canal nerve responses in proportion to the cosine of the angle between X and V. The responses of all six individual semicircular canals to rotation along X can be determined with R and V for each canal, and the orientation of X. Therefore, for a head rotation along any head-centered axis X, the sensitivities of all six canals can be summed to provide a global sensitivity to the rotation (S, in spikes · sec−1/degrees · sec−1). By calculating such global sensitivities for a high number of rotational axes, an axis of rotation resulting in the maximum summed sensitivity of all six canals can be determined (Sensitivitymax). The average sensitivity for a high number of rotational axes can also be calculated (Sensitivityave). The Sensitivitymax and Sensitivityave values calculated for specimens used in this study are listed in Table 4. Both sensitivity values were calculated using Bubbles.mat [35] software, which is described in detail by Yang and Hullar [25], Rodgers [32], and Malinzak et al. [32]. Bubbles.mat uses both the orientation and radius of curvature of the six semicircular canals to calculate estimated sensitivity of the vestibular system to angular accelerations in three dimensions. According to the Bubbles.mat results, the calculated Sensitivitymax is a function of both canal orientations and canal radii but Sensitivityave is entirely determined by canal radii. These effects are illustrated in Figure 2, which shows the relationship between 90var and the ratio of our observed sensitivities to sensitivity calculated with canals constrained to strict orthogonality (OSensitivitymax and OSensitivitymin) through setting all ipsilateral canal angles as 90° bilaterally, and setting ASC and PSC 45° away from the sagittal plane for Bubbles.mat calculations. In Figure 2, the ratio of Sensitivityave to OSensitivityave is always 1.0 across a range of 90var values which indicates that Sensitivityave is solely a function of R. By comparison, the ratio of Sensitivitymax to OSensitivitymax is always greater than 1.0 and tends to increase with increases in 90var (Figure 2). This ratio of Sensitivitymax ∶ OSensitivitymax reflects the fact that artificially constraining strict orthogonality leads to a decrease in the maximum estimated sensitivity of the vestibular system according to the Bubbles.mat calculations. The implications of these effects for our analyses of canal orientation an estimated sensitivity are discussed below.

Figure 2. Effect of constraining semicircular canals to strict orthogonality.

Figure 2

This plot shows the relationship between 90var (x-axis) and two ratios (y-axis): (1) Maximum observed sensitivity (Smax) : Maximum sensitivity with orthogonality constrained (OSmax) (blue diamonds), and (2) Average observed sensitivity (Save) : Average sensitivity with orthogonality constrained (OSave) (green squares). Data from Table 4.

Statistical Analysis

All statistical tests were performed in R using the ape and nlme packages [44][46]. A normal distribution for all continuous data was confirmed using Shapiro-Wilk tests for normality. Raw data for 90var and Angle Symmetrydev deviated significantly from normality, so these data were log10 transformed to satisfy the assumptions of parametric statistical tests. A normal distribution for both 90var and Angle Symmetrydev following log10 transformation was confirmed with a Shapiro-Wilk test. Data for Coplanaritydev, Sensitivitymax, and Sensitivityave did not deviate significantly from normality and were therefore included in analyses without transformation.

Two types of statistical tests were used assess the relationship between the morphology and estimated sensitivity of the semicircular canals. First, Pearson product-moment correlations were calculated for our three measures of canal morphology (90var, Angle Symmetrydev, and Coplanaritydev) and our two estimates of sensitivity to angular accelerations in three dimensions (Sensitivitymax and Sensitivityave). (Table 5). Because we expect deviations from orthogonality (i.e., greater 90var values), deviations from equality in corresponding contralateral angle pairs (i.e., greater Angle Symmetrydev values), and deviations from coplanarity in synergistic canal pairs (i.e., greater Coplanaritydev values) to be negatively correlated with vestibular sensitivity, all correlations were one-tailed. Second, phylogenetic generalized least-squares regression (PGLS) [47] was used to examine the relationships between canal morphology and estimated sensitivity while controlling for phylogenetic relationships. Tree topology and branch lengths for the included taxa follow Bininda-Emonds et al. [48], [49]. The strength of the phylogenetic signal (i.e., the degree to which data approximate a Brownian-motion model of evolution) in each PGLS analysis was quantified using Pagel's lambda (λ) [50].

Table 5. Results of Statistical Tests.

90var Angle Symmetrydev Coplanaritydev
Save Pearson: P = 0.019*; r = −0.335 PGLS: P = 0.029*; λ = 0.648 Pearson: P = 0.047*; r = −0.272 PGLS: P = 0.236; λ = 0.636 Pearson: P = 0.041*; r = −0.286 PGLS: P = 0.363; λ = 0.762
Smax Pearson: P = 0.036*; r = −0.292 PGLS: P = 0.060; λ = 0.682 Pearson: P = 0.054; r = −0.262 PGLS: P = 0.273; λ = 0.684 Pearson: P = 0.046*; r = −0.276 PGLS: P = 0.372; λ = 0.791

P-values for significant results and non-significant trends shown in bold; Results significant at P<0.05 marked with an asterisk. “Pearson” = one-tailed Pearson product-moment correlation, “PGLS” = phylogenetic generalized least-squares regression.

Results

Deviations from orthogonality, angle symmetry, and coplanarity

We find that the angle between two ipsilateral canals ranges between 58.8° and 121.2° for the species in our sample (Table 2; Figure 3). The smallest canal pair angle in our sample (LASC∡LLSC in Chrysochloris) is 31.2° less than 90°, while the largest canal pair angle in our sample (LASC∡LPSC in Notoryctes) is 31.2° greater than 90°. The mean angle for all ipsilateral canal pairs across all taxa is 88.9° (st. dev. = 7.8°) and the average deviation from orthogonality for all ipsilateral canal pairs is 6.0° (st. dev. = 5.1°). Similarly, 90var ranges from a low value of 2.3° in Potorous to a high value of 15.5° in Notoryctes (mean = 6.0°, st. dev. = 2.6°). Of the ipsilateral canal pairs, ASC∡LSC is smallest, with a mean angle of 84.5° (st. dev. = 7.3°) and a 95% mean confidence interval of 83°–86° (i.e., excluding orthogonality). By comparison, mean ASC∡PSC is 91.9° (st. dev. = 8.1°) and mean LSC∡PSC is 90.3° (st. dev. = 5.9°) (Table 3).

Figure 3. Comparison of ipsilateral canal pair angles from left and right inner ears.

Figure 3

Data from Table 2.

In addition to these deviations from orthogonality, our data demonstrate that ipsilateral canal pair angles differ by an average of 4.3° (st. dev. = 2.6°) between the right and left sides of individual specimens. Mean Angle Symmetrydev values range from a low of 0.8° in Lepus to a high of 11.6° in Notoryctes. Angles between synergistic canal pairs range from 0.5° (Enhydra LPSC ∡RASC) to 27.7° (Caluromys LLSC ∡RLSC). The mean deviation from coplanarity is 9.5° (st. dev. = 5.2°) for the two ASC∡PSC pairs and 11.2° (st. dev. = 7.5°) for the LSC∡LSC pair (Table 3). The mean deviation of all three synergistic canal pair angles from coplanarity is 10.1° (st. dev. = 6.1°).

Canal orientation and vestibular sensitivity

As expected, there is a negative correlation between the two estimates of vestibular sensitivity and the three measures of semicircular canal orientation (Table 5). This relationship is significant at P<0.05 for all comparisons except that of Angle Symmetrydev and Sensitivitymax, which are negatively correlated at P = 0.054. These data demonstrate that species with lower estimated sensitivity to angular accelerations tend to have semicircular canals that deviate more from orthogonality, angle symmetry, and coplanarity. However, the strength of these negative correlations is relatively modest, with correlation coefficients ranging between −0.262 and −0.335 (Table 5). Furthermore, when these relationships are analyzed using PGLS regression to control for phylogenetic non-independence, the results for Angle Symmetrydev and Coplanaritydev are non-significant. By contrast, the PGLS regression of 90var and Sensitivityave remains significant at P = 0.029 (Figure 4) and the PGLS regression of 90var and Sensitivitymax is near significance at P = 0.060. Lambda values for all six comparisons demonstrate that the relationships between these variables do not follow a strict Brownian motion model of evolution, nor are they completely free of the influence of phylogeny (Table 5). According to these results, phylogenetic proximity has the smallest influence on the relationship between Angle Symmetrydev and vestibular sensitivity (λ∼0.64–0.68) and the greatest influence on the relationship between Coplanaritydev and vestibular sensitivity (λ∼0.76–0.79).

Figure 4. Regressions of mean estimated semicircular canal sensitivity (Sensitivityave) on Log10 90var.

Figure 4

Discussion

Our results reveal that the canonical model of semicircular canal orientation is not strictly correct for a wide range of mammalian species. In our comparative sample, angles between pairs of ipsilateral semicircular canals deviate from orthogonality by an average of 6.0°, corresponding left-right canal pair angles differ by an average of 4.3°, and synergistic canals deviate from coplanarity by an average of 10.1°. Although the angle between any two ipsilateral semicircular canals does approach 90° when data are averaged for all canal pairs across all taxa, it is nevertheless clear that all mammals deviate from canal orthogonality to some degree. For example, Potorous, Pedetes, and Wallabia all have ipsilateral canal pair angles that diverge from 90° by an average of between only 2° and 3°. By contrast, Notoryctes, Chrysochloris, and Allactaga all have ipsilateral canal pair angles that diverge from 90° by an average of nearly 10° or more. These data further underscore the fact that none of the taxa considered in this analysis has truly orthogonal semicircular canals, and that substantial deviations from orthogonality, symmetry, and coplanarity appear to be a common feature of vestibular anatomy in mammals. However, it is also important to acknowledge that our comparative sample does not address questions related to intraspecific variation in canal orientation, so it is currently unclear how representative the values reported here are for each species in our dataset (Tables 1, 2). Our results also demonstrate that the mean angle between the anterior and lateral canals is considerably less than 90° and is 6.4°–7.4° lower than the mean angle between the other two ipsilateral canal pairs. In a functional context, is not presently clear why the angle between ipsilateral anterior and lateral canals is systematically lower than that for other ipsilateral canal pairs, but this finding further reinforces the inaccuracy of general characterizations of semicircular canals as orthogonal [3][16].

Previously published studies of semicircular canal morphology in 43 living and fossil species support our general finding that substantial deviations from the canonical model are the norm for mammals (Table 6). When unilateral measurements are considered, these analyses document a range of ipsilateral canal pair angles between 52.2° and 117.0° and an average 90var for all ipsilateral canal pairs of 7.9° (st. dev. = 4.4°). As in the species we examined, the published data also show that across taxa the angle between the anterior and lateral canals (ASC∡LSC mean = 82.6°, st. dev. = 11.3°) is considerably smaller than the angle between the other two ipsilateral canal pairs (ASC∡PSC mean = 93.6°, st. dev. 9.7°; LSC∡PSC mean = 91.4°, st. dev. = 7.4°). The published taxa also show a mean deviation from coplanarity of 16.9° (st. dev. = 6.7°) for both ASC∡PSC pairs and 13.3° (st. dev. = 6.9°) for the LSC∡LSC pair. The mean deviation of all three synergistic canal pair angles from coplanarity is 15.8° (st. dev. = 6.9°).

Table 6. Previous semicircular canal pair angle research results.

Taxon LASC ∡LLSC IPS LASC ∡LPSC IPS LLSC ∡LPSC IPS RASC ∡RLSC IPS RASC ∡RPSC IPS RLSC ∡RPSC IPS LASC ∡RASC CON LPSC ∡RPSC CON LASC ∡RPSC SYN RASC ∡LPSC SYN LLSC ∡RLSC SYN n Sources and Notes
Atelerix albiventris 82.20 91.70 92.10 1 Ekdale (2009) [3]c
Balaenopteridae† 71.60 105.00 75.60 1 Ekdale (2009) [3]c
Bathygenys reevesi† 86.00 99.60 91.30 1 Ekdale (2009) [3]c
Canis familiaris 80.40 101.00 89.10 1 Ekdale (2009) [3]c
Cavia porcellus 57.85 76.71 82.36 57.85 76.71 82.36 32.17 36.16 30.82 10 Curthoys et al (1975)* [1] a
±6.13 ±5.49 ±4.74 ±6.13 ±5.49 ±4.74 ±4.42 ±4.86 ±10.05
10.6 7.16 5.76 10.60 7.16 5.76 13.74 13.44 32.61
Cavia porcellus 91.22 91.20 85.88 8 Cox and
±6.97 ±5.78 ±5.3 Jeffery
7.64 6.34 6.17 (2008) [2]a
Cavia porcellus 77.20 105.00 85.50 1 Ekdale (2009) [3]c
Chinchilla 76.30 90.90 103.00 78.70 91.00 101.00 15.60 14.80 14.60 3 Hullar and Williams (2006)*a
lanigera ±2.7 ±1.7 ±5.7 ±5.7 ±2.3 ±6.9 ±1.3 ±0.3 ±12
3.54 1.87 5.53 7.24 2.53 6.83 8.33 2.03 82.19
Chrysochloris sp. 65.60 86.90 96.70 1 Ekdale (2009) [3]c
Cynocephalus volans 92.20 90.00 91.80 1 Ekdale (2009) [3]c
Dasypus novemcinctus 62.40 67.70 87.30 1 Ekdale (2009) [3]c
Didelphis virginiana 109.00 102.00 104.00 1 Ekdale (2009) [3]c
Elephas† 66.30 73.70 96.70 1 Ekdale (2009) [3]c
Equus caballus 84.70 93.30 90.10 1 Ekdale (2009) [3]c
Eumetopias jubatus 79.70 105.00 90.60 1 Ekdale (2009) [3]c
Felis catus 95.60 87.90 94.10 95.60 87.90 94.10 81.10 103.80 13.90 13.90 14.40 3 Ezure & Graf (1984) [1]a
Felis catus 89.62 90.21 94.23 89.62 90.21 94.23 13.92 14.49 12.49 7 Blanks et al.
±8.71 ±4.05 ±3.84 ±8.71 ±4.05 ±3.84 ±3.99 ±4.52 ±9.21 (1972) [1]a
9.72 4.49 4.08 9.72 4.49 4.08 28.66 31.19 73.74
Felis catus 78.36 103.34 89.49 8 Cox and
±10.05 ±9.7 ±6.94 Jeffery
12.83 9.39 7.76 (2008) [2]a
Felis catus 76.80 91.40 96.70 1 Ekdale (2009) [3]c
Hemicentetes semispinosum 85.40 117.00 92.60 1 Ekdale (2009) [3]c
Homo sapiens 90.60 94.40 90.40 90.60 94.40 90.40 103.40 83.20 15.30 15.30 11.30 10 Della
±6.2 ±1.85 ±4.9 ±6.2 ±4 ±4.9 ±9.5 ±9.7 ±7.2 ±7.2 ±6.9 Santina et
6.84 2.02 5.42 6.84 4.24 5.42 9.19 11.66 47.06 47.06 61.06 al. (2005)
[1]c
Homo sapiens 68.24 86.16 95.75 68.24 86.16 95.75 24.56 23.73 19.82 10 Blanks et al.
±7.55 ±4.72 ±4.66 ±7.55 ±4.72 ±4.66 ±7.19 ±6.71 ±14.93 (1975)* [1]a
11.06 5.48 4.87 11.06 5.48 4.87 29.28 28.28 75.33
Homo sapiens 90.50 91.70 94.52 90.50 91.70 94.52 7 Hashimoto
±2.98 ±1.85 ±3.32 ±2.98 ±1.85 ±3.32 et al. 2005a
3.29 2.02 3.51 3.29 2.02 3.51
Homo sapiens 85.30 97.14 88.96 6 Cox and
±5.81 ±4.82 ±6.33 Jeffery
6.81 4.96 7.12 (2008) [2] a
Homo sapiens 98.90 100.00 89.80 1 Ekdale (2009) [3]c
Kulbeckia kulbecke 79.90 79.90 89.60 4 Ekdale (2009) [1]
Lepus californicus 84.20 94.00 88.60 1 Ekdale (2009) [3]c
Macaca mulatta 98.73 86.48 88.49 98.73 86.48 88.49 10.67 11.18 2.24 10 Blanks et al.
±5.39 ±3.43 ±3.91 ±5.39 ±3.43 ±3.91 ±3.55 ±3.12 ±0.77 (1985) [1] a
5.46 3.97 4.42 5.46 3.97 4.42 33.27 27.91 34.38
Macaca mulatta 83.10 100.00 89.00 1 Ekdale (2009) [3]c
Macroscelides proboscideus 100.00 90.70 73.50 1 Ekdale (2009) [3]c
Manis tricuspis 77.00 84.80 88.60 1 Ekdale (2009) [3]c
Mus C57BL/6J 92.56 99.02 101.17 91.55 99.26 101.26 17.61 17.66 9.14 4 Calabrese
±1.93 ±1.46 ±0.97 ±1.02 ±1.29 ±0.96 ±2.73 ±1.43 ±0.98 and Hullar
2.09 1.47 0.96 1.11 1.30 0.95 15.50 8.10 10.72 (2006)a
Mus CBA/CaJ 96.82 89.65 102.29 95.47 88.94 102.05 11.00 14.79 10.42 4 Calabrese
±5.73 ±2.51 ±1.86 ±1.94 ±1.98 ±2.14 ±1.24 ±2.11 ±3.8 and Hullar
5.92 2.80 1.82 2.03 2.23 2.10 11.27 14.27 36.47 (2006)a
Mus musculus 76.63 101.54 96.08 9 Cox and
±6.02 ±6.32 ±6.06 Jeffery
7.86 6.22 6.31 (2008) [2]a
Mus musculus 88.80 94.40 95.60 1 Ekdale (2009) [3]c
Nycteris grandis 85.90 112.00 94.90 1 Ekdale (2009) [3]c
Nycticebus coucang 88.60 88.60 68.20 114.40 23.10 23.10 3 Matano et al. (1985) [1]
Orycteropus afer 78.50 91.90 95.70 1 Ekdale (2009) [3]c
Oryctolagus cuniculus 79.80 76.60 75.50 79.80 76.60 75.50 90.50 116.50 13.60 13.60 8.60 3 Ezure & Graf (1984) [1]a
Oryctolagus 79.36 71.36 75.85 79.36 71.36 75.85 85.76 47.54 26.78 26.78 15.32 7 Mazza and
cuniculus ±9.4 ±4.4 ±6.7 ±9.4 ±4.4 ±6.7 ±5.6 ±5.3 ±6.8 ±6.8 ±7.2 Winterson
11.84 6.17 8.83 11.84 6.17 8.83 6.53 11.15 25.39 25.39 47.00 (1984)* [1]a
Oryctolagus 81.73 97.05 97.52 9 Cox and
cuniculus ±11 ±5.6 ±9.82 Jeffery
13.46 5.77 10.07 (2008) [2]a
Procavia capensis 87.40 112.00 87.40 1 Ekdale (2009) [3]c
Pteropus lyelli 84.90 98.30 90.40 1 Ekdale (2009) [3]c
Rattus norvegicus 73.35 97.57 98.12 8 Cox and
6.37 4.80 10.89 Jeffery
8.68 4.92 11.10 (2008) [2]a
Rattus norvegicus 97.60 94.20 93.50 97.60 94.20 93.50 9.90 9.90 8.00 14 Blanks and Torigoe (1989) [1]b
Rhinolophus ferrumequinum 79.90 104.00 87.90 1 Ekdale (2009) [3]c
Saimiri sciureus 90.43 87.02 89.95 90.43 87.02 89.95 12.53 14.80 15.45 10 Blanks et al.
±6.94 ±4.22 ±5.08 ±6.94 ±4.22 ±5.08 ±5.55 ±5.37 ±5.98 (1985) [1]a
7.67 4.85 5.65 7.67 4.85 5.65 44.29 36.28 38.71
Sciurus 78.97 89.52 104.41 5 Cox and
carolinensis ±6.61 ±4.4 ±9.64 Jeffery
8.37 4.92 9.23 (2008) [2]a
Sorex monticolus 75.30 89.60 89.30 1 Ekdale (2009) [3]c
Sus scrofa 82.80 96.00 87.90 1 Ekdale (2009) [3]c
Sylvilagus floridanus 92.70 97.50 77.90 1 Ekdale (2009) [3]c
Tadarida brasiliensis 74.70 98.40 98.40 1 Ekdale (2009) [3]c
Tarsius bancanus 91.80 91.80 73.80 102.80 14.50 14.50 3 Matano et al. (1985) [1]
Trichechus manatus 52.20 84.90 86.30 1 Ekdale (2009) [3]c
Tupaia glis 82.30 106.00 102.00 1 Ekdale (2009) [3]c
Tursiops truncatus 52.20 84.90 77.50 1 Ekdale (2009) [3]c
Ukhaatherium gobiensis 88.80 105.00 88.40 1 Ekdale (2009) [3]c
Zalambdalestes lechei 81.00 93.60 85.60 4 Ekdale (2009) [3]c
Zhelestid 88.80 96.80 93.10 7 Ekdale (2009) [3]c
Mean 82.46 93.21 90.37 84.27 90.42 92.35 83.79 94.71 17.01 17.65 13.28
Standard Dev. ±11.87 ±10.14 ±7.19 ±10.41 ±7.82 ±7.85 ±12.52 ±25.95 ±6.59 ±6.94 ±6.85
Coeff. Variation 14.39 10.88 7.96 12.35 8.64 8.50 14.94 27.40 38.77 39.35 51.63
95% Confidence 80.78 91.80 89.35 82.00 88.79 90.64 78.68 84.11 15.31 15.85 11.38
Interval of Mean 84.13 94.61 91.39 86.54 92.05 94.07 88.90 105.30 18.71 19.44 15.88

Where sides were averaged for results, those results were recorded in both the right and left sides. Each entry includes standard deviation and coefficient of variation (in italics) if available. Total specimens measured, 199; 44 different species reported. Abbreviations for notes: [1] sides averaged, [2] MRI study based on one side only, [3] mostly left labyrinths used, but specimens with right sides indeterminate,

a least squares fit and eigenvector analysis, b null point technique - mounting and orientation that gives no afferent response from a particular canal; c visual fit,

CON contralateral canals, IPS ipsilateral canals, n number of specimens examined, SYN synergistic canals,

*

ASC∡LSC corrected for internal angles.

From a practical standpoint, these data have important implications for the use of lateral canal orientation as an indicator of the horizontal plane in reconstructions of head posture in fossil mammals [31], [39], [51][53]. In our comparative sample, 7 of the 39 species have right and left lateral canals that deviate from coplanarity by more than 20° (Table 2). This large amount of bilateral variation in lateral canal orientation within individual specimens suggests that the lateral canal is an imprecise indicator of habitual head orientation (resting or active) in fossil species, particularly if reconstructions are based on unilateral measurements of semicircular canals [54].

Our data also generally confirm the expectation that there are important functional consequences of the degree to which a species' vestibular anatomy deviates from the canonical model. In particular, deviations from canal orthogonality (as measured by 90var) are negatively correlated with both of our estimates of vestibular sensitivity (Table 5). This result is most pronounced for the relationship between 90var and mean sensitivity (Sensitivityave, Figure 4). As noted previously, the values for Sensitivityave reported here are determined entirely by canal radii of curvature (Figure 2), so the significant negative relationship between 90var and Sensitivityave is unrelated to our methods for estimating canal sensitivity. By the same token, deviations from orthogonality tend to increase the maximum vestibular sensitivity (i.e., result in higher Senstivitymax ∶ OSensitivitymax ratio; Figure 2) according to the methods employed here. In other words, based on our estimates of canal sensitivity, constraining canals to be perfectly orthogonal always decreases Senstivitymax (Figure 2, Table 4). Accordingly, our results for 90var and Sensitivitymax (Table 5) should be interpreted with caution because estimated maximum vestibular sensitivity is determined both by the radii and orientations of canals. Nevertheless, our analysis demonstrates that as the average deviation from canal orthogonality in our interspecific comparative sample increases (i.e., higher 90var), the mean estimated sensitivity to angular head accelerations tends to decrease. As a result, species with more orthogonal semicircular canals tend to have higher mean vestibular sensitivity than species with less orthogonal semicircular canals (Figure 4). Although canal radius of curvature remains a major determinant of semicircular canal sensitivity, these findings imply that selection for greater sensitivity to angular head accelerations may influence semicircular canal orthogonality.

We also find that deviations from canal angle symmetry and coplanarity are negatively correlated with estimated vestibular sensitivity. However, these correlations are weaker and more strongly influenced by phylogeny compared to the results for orthogonality. As a result, phylogenetically controlled analyses of the relationship between estimated vestibular sensitivity and both angle symmetry and coplanarity are not significant (Table 5). These results do not necessarily imply the absence of a functional relationship between canal angle symmetry or coplanarity and vestibular sensitivity, but they do indicate that there is a strong phylogenetically correlated influence on these relationships.

In this context, it is also noteworthy that the obligate fossorial genera in our analysis (Notoryctes, Chrysochloris, Talpa, and Heterocephalus) show greater deviations from canal orthogonality than most non-fossorial genera (Table 2). Indeed, the average 90var value for the 4 fossorial taxa in our sample (mean = 11.0°; st. dev. = 3.2°) is twice that of non-fossorial taxa (mean = 5.5°; st. dev. = 1.8°). Notoryctes, Chrysochloris, Talpa, and Heterocephalus also share comparatively low estimates of semicircular canal sensitivity (fossorial taxa: Sensitivityave = 0.27–0.48; Sensitivitymax = 0.38–0.59; non-fossorial taxa: Sensitivityave mean = 0.89, st. dev. = 0.38; Sensitivitymax mean = 1.10, st. dev. = 0.47; Table 4). While this sample of fossorial genera is small, it is also taxonomically diverse, including a marsupial (Notoryctes), an afrothere (Chrysochloris), a eulipotyphlan (Talpa), and a rodent (Heterocephalus). These data therefore suggest that low degrees of semicircular canal orthogonality and relatively low sensitivity to angular accelerations may have evolved concurrently with a fossorial lifestyle at least 4 times in mammals. Nonetheless, it is not functionally clear why lower degrees of canal orthogonality would be associated with a burrowing lifestyle.

Our findings are consistent with those of Billet et al. [55], who report highly variable and non-orthogonal ipsilateral canal pair angles in three-toed sloths (Bradypus variegatus). Billet et al. suggested that such high variability is the result of diminished selection pressure in slower-moving mammals to maintain orthogonal semicircular canals. Furthermore, the negative relationship between angular head velocities and 90var observed by Malinzak et al. [33] accords well with our finding of a negative relationship between mean vestibular sensitivity and 90var (Figure 4). The combined results of both studies thus show that species with the greatest deviations from canal orthogonality tend to experience slower head rotations during locomotion [33] and to have less sensitive semicircular canals (Figure 4). Although Malinzak et al. [33] based their conclusions on a smaller sample of 11 primate species, their analysis is the only comparative study to date that directly measured angular head velocities produced during locomotion. These authors further concluded that species which regularly encounter higher angular head accelerations during locomotion require more orthogonal canals in order to have more uniform sensitivity to angular accelerations in three dimensions. Here we have shown that the degree to which semicircular canals approach orthogonality is correlated with mean estimated sensitivity to angular accelerations, and that mean sensitivity in turn is solely determined by canal radius of curvature. These findings reinforce the conclusion that both the radii and orientations of the semicircular canals may be influenced by selection related to forces generated during locomotion.

Acknowledgments

This research was greatly facilitated by Chris Bell, James Sprinkle and Larry Witmer who reviewed it in dissertation form. Special thanks are due to Tim Hullar, who helped immensely in providing and implementing Bubbles.mat, and for conversations describing calculation of sensitivity. We thank editor Andrew Farke and reviewers Justin Georgi and Rich Kay for their assistance in revising the first submission of this manuscript. Thanks also to Charlie Nunn, Denné Reed, and Sally Amen for statistical advice. Scanning help was graciously provided by Jessie Maisano, Matt Colbert, Rich Ketcham and the staff of the UTCT lab. Mark Coleman, Tim Hullar, Ted Macrini, and Blaire Van Valkenburgh gave permission to use high resolution X-ray computed tomographic scans of their specimens for this study.

Funding Statement

Funding for this research was provided by grants NSFIIS-0208675 (http://www.nsf.gov/cise/iis/hcc_pgm.jsp), and EAR-0948842 (http://www.nsf.gov/awards/award_visualization.jsp?org=EAR). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1. Hullar TE (2006) Semicircular canal geometry, afferent sensitivity, and animal behavior. Anatomical Record Part A 288A: 466–472. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Graf W (1988) Motion detection in physical space and its peripheral and central representation. Annals of the New York Academy of Sciences 545: 154–169. [DOI] [PubMed] [Google Scholar]
  • 3.Agur AM (1999) Grant's Atlas of Anatomy. Baltimore, MD: Lippincott, Williams and Wilkins. 760 p. [Google Scholar]
  • 4.Gray H (1918) Anatomy of the Human Body. Philadelphia, PA: Lea & Febiger. 1396 p. [Google Scholar]
  • 5.Gulya AJ (2007) Gulya and Schuknecht's Anatomy of the Temporal Bone with Surgical Implications. New York, NY: Informa Healthcare. 356 p. [Google Scholar]
  • 6. Clarke AH (2005) On the vestibular labyrinth of Brachiosaurus brancai . Journal of Vestibular Research 15: 65–71. [PubMed] [Google Scholar]
  • 7.Kaas J (2009) Evolutionary Neuroscience. Oxford, UK: Academic Press. 1038 p. [Google Scholar]
  • 8. Marugán-Lobón J, Chiappe LM, Farke AA (2013) The variability of inner ear orientation in saurischian dinosaur: testing the use of semicircular canals as a reference system for comparative anatomy. PeerJ 1: 16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Romer AS, Parsons TS (1986) The Vertebrate Body. Saunders: Philadelphia. 679 p.
  • 10. Spoor F, Zonneveld F (1995) Morphometry of the primate bony labyrinth: a new method based on high-resolution computed tomography. Journal of Anatomy 186: 271–286. [PMC free article] [PubMed] [Google Scholar]
  • 11. Oman CM, Marcus EN, Curthoys IS (1987) The influence of semicircular canal morphology on endolymph flow dynamics. Acta Otolaryngolica 103: 1–13. [DOI] [PubMed] [Google Scholar]
  • 12. Spoor F (2003) The semicircular canal system and locomotor behaviour, with special reference to hominin evolution. Courier Forschungsinstitut Senckenberg 243: 93–104. [Google Scholar]
  • 13.Haines DE (2012) Fundamental Neuroscience for Basic and Clinical Applications. Philadelphia: Elsevier. 492 p. [Google Scholar]
  • 14.Lessard C (2009) Basic Feedback Controls in Biomedicine; Enderle JD, editor. Connecticut: Morgan and Claypool Publishers. 209 p. [Google Scholar]
  • 15. Highsteen SM, Rabbitt RD, Holstein GR, Boyle RD (2005) Determinants of spatial and temporal coding by semicircular canal afferents. Journal of Neurophysiology 93: 2359–2370. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Rabbitt RD, Damiano ER, Grant JW (2004) Biomechanics of the vestibular semicircular canals and otolith organs. In: Highstein SM, Popper A, Fay R, editors. The Vestibular System. Berlin, Germany: Springer-Verlag. pp. 153–201. [Google Scholar]
  • 17. Blanks RHI, Curthoys IS, Markham CH (1975) Planar relationships of the semicircular canals in man. Acta Otolaryngolica 80: 185–196. [DOI] [PubMed] [Google Scholar]
  • 18. Curthoys IS, Curthoys EJ, Blanks RHI, Markham CH (1975) The orientation of the semicircular canals in the guinea pig. Acta Otolaryngolica 80: 197–205. [DOI] [PubMed] [Google Scholar]
  • 19. Ezure K, Graf W (1984) A quantitative analysis of the spatial organization of the vestibulo-ocular reflexes in lateral- and frontal-eyed animals – I. Orientation of semicircular canals and extraocular muscles. Neuroscience 12: 85–93. [DOI] [PubMed] [Google Scholar]
  • 20. Mazza D, Winterson BJ (1984) Semicircular canal orientation in the adult resting rabbit. Acta Otolaryngolica 98: 472–480. [DOI] [PubMed] [Google Scholar]
  • 21. Blanks RHI, Torigoe Y (1989) Orientation of the semicircular canals in the rat. Brain Research 487: 278–287. [DOI] [PubMed] [Google Scholar]
  • 22. Calabrese DR, Hullar TE (2006) Planar relationships of the semicircular canals in two strains of mice. Journal of the Association for Research in Otolaryngology 7: 151–159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Ekdale EG (2009) Variation within the bony labyrinth of mammals [PhD Dissertation]. Austin: The University of Texas. 439 p. [Google Scholar]
  • 24. Ifediba MA, Rajguru SM, Hullar TE, Rabbitt RD (2007) The role of 3-canal biomechanics in angular motion transduction by the human vestibular labyrinth. Annals of Biomedical Engineering 35: 1247–1263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Yang A, Hullar TE (2007) Relationship of semicircular canal size to vestibular-nerve afferent sensitivity in mammals. Journal of Neurophysiology 98: 3197–3205. [DOI] [PubMed] [Google Scholar]
  • 26. Rabbitt RD (1999) Directional coding of three-dimensional movements by the vestibular semicircular canals. Biological Cybernetics 80: 417–431. [DOI] [PubMed] [Google Scholar]
  • 27. Jones GM, Spells KE (1963) A theoretical and comparative study of the functional dependence of the semicircular canal upon its physical dimensions. Proceedings of the Royal Society 157: 403–419. [DOI] [PubMed] [Google Scholar]
  • 28. Silcox MT, Bloch JI, Boyer DM, Godinot M, Ryan TM, et al. (2009) Semicircular canal system in early primates. Journal of Human Evolution 56: 315–327. [DOI] [PubMed] [Google Scholar]
  • 29. Spoor F, Garland T, Krovitz G, Ryan TM, Silcox MT, et al. (2007) The primate semicircular canal system and locomotion. Proceedings of the National Academy of Science of the United States of America 104: 10808–10812. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. ten Kate JH, van Barneveld HH, Kuiper JW (1970) The dimensions and sensitivities of semicircular canals. Journal of Experimental Biology 53: 501–514. [DOI] [PubMed] [Google Scholar]
  • 31. Spoor F, Wood BA, Zonneveld F (1994) Implications of early hominid labyrinthine morphology for evolution of human bipedal locomotion. Nature 369: 645–648. [DOI] [PubMed] [Google Scholar]
  • 32.Rodgers J (2011) Comparative morphology of the metatherian and eutherian bony labyrinth. Austin: University of Texas at Austin. 400 p. [Google Scholar]
  • 33.Malinzak MD (2010) Experimental analyses of the relationship between semicircular canal morphology and locomotor head rotations in primates [Dissertation]. Durham, North Carolina: Duke University. 236 p. [Google Scholar]
  • 34. Malinzak M, Kay RF, Hullar TE (2011) Semicircular canal orthogonality, not radius, best predicts mean speed of locomotor head rotation: a new hypothesis with implications for reconstructing behaviors in extinct species. American Journal of Physical Anthropology 144: 204.20740658 [Google Scholar]
  • 35. Malinzak MD, Kay RF, Hullar TE (2012) Locomotor head movements and semicircular canal morphology in primates. Proceedings of the National Academy of Science 109: 17914–17919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Rowe T, Kappelman J, Carlson WD, Ketcham RA, Denison C (1997) High-Resolution Computed Tomography: a breakthrough technology for Earth scientists. Geotimes 42: 23–27. [Google Scholar]
  • 37.Carlson WD, Rowe T, Ketcham RA, Colbert MW (2003) Geological applications of high-resolution X-ray computed tomography in petrology, meteoritics and paleontology. In: Mees F, Swennen R, Van Geet M, Jacobs P, editors. Applications of X-ray computed tomography in the geosciences. London: Geological Society. pp. 7–22. [Google Scholar]
  • 38.Romer AS (1962) The Vertebrate Body. Philadelphia, Pennsylvania: W. B. Saunders Company. 627 p. [Google Scholar]
  • 39. David R, Droulez J, Allain R, Berthoz A, Janvier P, et al. (2010) Motion from the past. A new method to infer vestibular capacities of extinct species. Comptes Rendus Palevol 9: 397–410. [Google Scholar]
  • 40.Venes D, editor (2005) Taber's Cyclopedic Medical Dictionary, 20th Edition. 20 ed. Philadelphia, Pennsylvania: F. A. Davis Company. 2788 p. [Google Scholar]
  • 41. Cox PG, Jeffery N (2008) Geometry of the semicircular canals and extraocular muscles in rodents, lagomorphs, felids, and modern humans. Journal of Anatomy 213: 583–596. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Spoor F, Zonneveld F (1998) Comparative review of the human bony labyrinth. Yearbook of Physical Anthropology 41: 211–251. [DOI] [PubMed] [Google Scholar]
  • 43.Fisher NI (1995) Statistical analysis of circular data. Melbourne, Australia: University of Cambridge. 277 p. [Google Scholar]
  • 44. Paradis E, Claude J, Strimmer K (2004) APE: analyses of phylogenetics and evolution in R language. Bioinformatics 20: 289–290. [DOI] [PubMed] [Google Scholar]
  • 45.R-Development-Core-Team (2011) R: A language and environment for statistical computing. Vienna, Austria.
  • 46. Pinheiro J, Bates D, DebRoy S, Sarkar D, Team RDC (2011) nlme: Linear and Nonlinear Mixed Effects Models. R package version 3: 1–101. [Google Scholar]
  • 47. Freckelton RP, Harvey PH, Pagel M (2002) Phylogenetic analysis and comparative data: a test and review of evidence. American Naturalist 160: 712–726. [DOI] [PubMed] [Google Scholar]
  • 48. Bininda-Emonds ORP, Cardillo M, Jones KE, MacPhee RDE, Beck RMD, et al. (2007) The delayed rise of present-day mammals. Nature 446: 507–512. [DOI] [PubMed] [Google Scholar]
  • 49. Bininda-Emonds ORP, Cardillo M, Jones KE, MacPhee RDE, Beck RMD, et al. (2008) Corrigendum. The delayed rise of present-day mammals. Nature 256: 274. [DOI] [PubMed] [Google Scholar]
  • 50. Pagel M (1999) Inferring the historical patterns of biological evolution. Nature 401: 877–844. [DOI] [PubMed] [Google Scholar]
  • 51. Ryan TM, Silcox MT, Walker A, Mao X, Begun DR, et al. (2012) Evolution of locomotion in Anthropoidea: the semicircular canal evidence. Proceedings of the Royal Society B 279: 3467–3475. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Sereno PC, Wilson JA, Witmer LM, Whitlock JA, Maga A, et al. (2007) Structural extremes in a Cretaceous dinosaur. PLoS ONE 11: 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Witmer LM, Chatterjee S, Franzosa J, Rowe T (2003) Neuroanatomy of flying reptiles and implications for flight, posture and behaviour. Nature 425: 950–953. [DOI] [PubMed] [Google Scholar]
  • 54. Davies KTJ, Bates PJJ, Maryanto I, Cotton JA, Rossiter SJ (2013) The evolution of bat vestibular systems in the face of potential antagonistic selection pressures for flight and echolocation. PLoS One 8: e61998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Billet G, Hautier L, Asher RJ, Schwarz C, Crumpton N, et al. (2012) High morphological variation of vestibular system accompanies slow and infrequent locomotion in three-toed sloths. Proceedings of the Royal Society B 279: 2932–2939. [DOI] [PMC free article] [PubMed] [Google Scholar]

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