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Comparison of the Relationship between Cerebral White Matter and Grey Matter in Normal Dogs and Dogs with Lateral Ventricular Enlargement

  • Martin J. Schmidt ,

    Affiliation Department of Veterinary Clinical Sciences, Clinic for Small Animals, Justus-Liebig-University-Giessen, Giessen, Germany

  • Steffi Laubner,

    Affiliation Department of Veterinary Clinical Sciences, Clinic for Small Animals, Justus-Liebig-University-Giessen, Giessen, Germany

  • Malgorzata Kolecka,

    Affiliation Department of Veterinary Clinical Sciences, Clinic for Small Animals, Justus-Liebig-University-Giessen, Giessen, Germany

  • Klaus Failing,

    Affiliation Unit for Biomathematics and Data Processing, Faculty of Veterinary Medicine, Justus Liebig-University-Giessen, Giessen, Germany

  • Andreas Moritz,

    Affiliation Department of Veterinary Clinical Sciences, Clinic for Small Animals, Justus-Liebig-University-Giessen, Giessen, Germany

  • Martin Kramer,

    Affiliation Department of Veterinary Clinical Sciences, Clinic for Small Animals, Justus-Liebig-University-Giessen, Giessen, Germany

  • Nele Ondreka

    Affiliation Department of Veterinary Clinical Sciences, Clinic for Small Animals, Justus-Liebig-University-Giessen, Giessen, Germany

Comparison of the Relationship between Cerebral White Matter and Grey Matter in Normal Dogs and Dogs with Lateral Ventricular Enlargement

  • Martin J. Schmidt, 
  • Steffi Laubner, 
  • Malgorzata Kolecka, 
  • Klaus Failing, 
  • Andreas Moritz, 
  • Martin Kramer, 
  • Nele Ondreka


Large cerebral ventricles are a frequent finding in brains of dogs with brachycephalic skull conformation, in comparison with mesaticephalic dogs. It remains unclear whether oversized ventricles represent a normal variant or a pathological condition in brachycephalic dogs. There is a distinct relationship between white matter and grey matter in the cerebrum of all eutherian mammals. The aim of this study was to determine if this physiological proportion between white matter and grey matter of the forebrain still exists in brachycephalic dogs with oversized ventricles. The relative cerebral grey matter, white matter and cerebrospinal fluid volume in dogs were determined based on magnetic-resonance-imaging datasets using graphical software. In an analysis of covariance (ANCOVA) using body mass as the covariate, the adjusted means of the brain tissue volumes of two groups of dogs were compared. Group 1 included 37 mesaticephalic dogs of different sizes with no apparent changes in brain morphology, and subjectively normal ventricle size. Group 2 included 35 brachycephalic dogs in which subjectively enlarged cerebral ventricles were noted as an incidental finding in their magnetic-resonance-imaging examination. Whereas no significant different adjusted means of the grey matter could be determined, the group of brachycephalic dogs had significantly larger adjusted means of lateral cerebral ventricles and significantly less adjusted means of relative white matter volume. This indicates that brachycephalic dogs with subjective ventriculomegaly have less white matter, as expected based on their body weight and cerebral volume. Our study suggests that ventriculomegaly in brachycephalic dogs is not a normal variant of ventricular volume. Based on the changes in the relative proportion of WM and CSF volume, and the unchanged GM proportions in dogs with ventriculomegaly, we rather suggest that distension of the lateral ventricles might be the underlying cause of pressure related periventricular loss of white matter tissue, as occurs in internal hydrocephalus.


Despite the high diversity of head conformation in dog breeds, differences in canine brain morphology are comparably small [13]. Due to the restricted longitudinal skull growth in brachycephalic dogs their brains show reduced longitudinal extension [2, 4]. As a result the external morphology resembles the juvenile state of canine brains, showing a wide and stocky appearance and ventrally orientated olfactory bulbs [2, 5]. Nevertheless, the general morphology of the brain including the cortical pattern of sulci and gyri is the same amongst dogs with different head conformations [1, 3]. However, a frequent finding in brachycephalic dog brains is relatively large lateral cerebral ventricles in comparison with mesaticephalic dogs [68]. It has been widely accepted that this increase in ventricular volume is not associated with clinical signs and that most small-breed dogs normally have large lateral ventricles as a breed characteristic and are not truly hydrocephalic [912]. As most brachycephalic dogs are small toy-breeds it has been suggested that ventricular size follows negative allometric growth principles [13]. The term “constitutional hydrocephalus” has been used to describe the common association of large ventricles with short stature in brachycephalic dogs [14]. On the other hand the terms “ventricular enlargement” and “ventriculomegaly” have been used to describe the large ventricles in these breeds, which would imply a pathological condition to some extent [11, 15, 16].

Several studies aiming to determine the physiological ventricular dimensions in dogs suggested that ventricular size can vary in individual dogs of the same breed and size [17, 18]. However, the following morphological rule conflict with this suggestion: The expansion of the cerebral cortex is one of the most distinctive morphological features of the mammalian brain. Its functional organization is subject to defined spatial, electro-physiological and metabolic constraints within a limited volume [19]. In the process of evolution this has led to brains with a defined relationship between white matter (WM) and grey matter (GM) mass [19].

As brain size has increased during evolution, the various parts of the brain have not simply increased proportionally. In brains of large animals the WM mass in the neocortex has increased disproportionately relative to GM [2022]. This reflects changes in the diameter of axons, with larger brains having thicker axons and thicker myelin sheaths [23] and more cortico-cortical connections per neuron [20]. Both, the defined relationship between WM and GM and its defined increase with body size are universal in all mammalian species (eutheria) and can be expressed by allometric scaling laws [19, 20, 24, 25]. We would therefore expect a characteristic relationship between WM and GM mass to exist in different dog breeds and that WM would also hyperscale with increasing body weight in dogs. If large ventricles would represent a normal morphologic variation, a WM/GM relationship similar to dogs with normal ventricles should be preserved in dog brains with large ventricular volume. Aberrations from the WM/GM relationship would indicate that ventricular enlargement is associated with a reduction of brain tissue as the sum of brain tissues and CSF is constant (Monroe-Kellie-doctrine). This hypothesis states that CSF and brain tissue (including blood vessels) create a state of volume equilibrium. Any increase in volume of one of the cranial constituents must be compensated by a decrease in volume of another. In clinical analyses of brain images of dogs with subjectively normal lateral ventricles and dogs with ventriculomegaly it was our observation that the periventricular WM is reduced in individuals with larger ventricles, as occurs in hydrocephalus. We therefore hypothesize that the relationship between WM and GM is decreased in dogs with “oversized” ventricles.

Ethics statement

The MRI data were obtained for diagnostic purposes and retrospectively analyzed in this study. Therefore approval from the ethics committee of the Justus Liebig University and government of the county Hessen (Regierungspräsidium) was not sought as it is the policy of the ethics committee not to subject retrospective studies of images stored in the archive to ethical review. The “Deutsches Tierschutzgesetz” (German Animal Protection Law) does not request a written waiver for retrospective studies. MR-imaging data of five healthy Beagles were also taken from an experimental study of brain diffusion and perfusion in normal dogs. This study was carried out in strict accordance with the recommendations in the Guidelines for Care and Use of Laboratory Animals of the German Animal Protection Law. The protocol was approved by the Committee on the Ethics of Animal Experiments of the Justus Liebig University Giessen and Regierungspräsidium Hessen (Permit Number: V54-19c2015(I)Gi18/17 No. 78/2011).

Materials and Methods


The archive of MRI scans of the Justus Liebig University (JLU), Giessen, Germany, was searched retrospectively for MR-imaging reports including the diagnoses “primary or idiopathic epilepsy”, “within normal limits” and “ventriculomegaly” or “enlarged ventricles”. The presence of ventriculomegaly was based on the following criteria: The majority of dogs have very narrow and slit-like horns of the lateral ventricles. In the finding of large ventricles/ventriculomegaly, the interpreter subjectively noted a greater proportion of the intracranial volume occupied by the lateral ventricles. The closely spaced walls of the temporal horns and/or the olfactory recesses were separated by CSF in these brains and the lacking septum pellucidum created a large connection between the first and second ventricle (Fig 1) [26]. MRI reports for each series were obtained by board certified radiologists at the JLU. These dog brain series were assessed for suitability of inclusion in this study using the following criteria. None of the patients was allowed to show evidence of space occupying lesions or other morphological alterations of the brain parenchyma. Transverse scans had to include the whole brain from the cribriform plate rostrally to the first cervical spinal cord segment caudally. Series with inadequate image contrast and spatial resolution or incomplete transverse series were excluded from the study. The finding of “ventriculomegaly” or “enlarged ventricles” had to be judged as an incidental finding. “The breed, gender, age, and body weight of the dog at the time of scanning were recorded, and dogs that were between 1 and 6 years of age and up to 17 kg in bodyweight were included.” Subjects were divided into the following groups: Group one included dogs whose brain and lateral ventricles were assessed as normal by the diagnosis of “within normal limits”. Group two included dogs in which a dilatation of the lateral ventricles was noted on interpretation of the images and ventriculomegaly or enlarged ventricles were recorded as an incidental finding.

Fig 1. Comparison of a canine brain with normal lateral cerebral ventricles (A) and enlarged ventricles (B).

Imaging technique

Imaging was performed using a 1 Tesla MRI scanner (Gyroscan Intera, Phillips, Hamburg, Germany). From the whole MR dataset T2-weighted transverse images of the head were chosen for image segmentation. Images were obtained using T2-Turbospin echo sequences (TE: 120 ms, TR: 2900 ms). Slice thickness varied from 2–3 mm. The field of view measured 180 x 180 mm in small dogs and 210 x 210 mm in large dogs. The matrix was 288 x 288 in small dogs and 384 x 384 in large dogs leading to an in-plane pixel size between 0.625 x 0.625 mm and 0.54 x 0.54 mm.

Morphometric procedures

The mass of GM and WM in the brain was determined based on MRI datasets as described previously [15, 2730]. Study numbers were assigned to dogs so that the observer was blinded to the signalment of the dog and its previous image interpretation. All segmentation procedures were performed by one investigator. Image processing for volume rendering was achieved using specialized graphical software (AMIRA, Mercury Computers Systems, Berlin, Germany), which allows manual image segmentation on a slice-by-slice basis. This program allows interactive segmentation in all image planes (“four-viewer mode”). In this mode, three 2D viewers with different reconstructed orientations and an additional 3D viewer are displayed in which segmentation can be simultaneously performed. Image segmentation in this context describes the manual tracing of the WM and GM in each image based on their differential signal intensity. All voxels corresponding to a single anatomical structure in the images are selected and assigned to the same value in the mask. The final mask thus contains information about all selected anatomical structures and in combination with the original data and polygonal surface reconstruction algorithms, allows the visualization of different structures in the images [29]. Segmentation was performed manually in transverse orientation from individual slices (Fig 2). Only the GM and WM of the cerebrum (neocortex and paleocortex) including the basal ganglia were determined. The ammon`s horn (archicortex) was excluded because nine dogs were examined due to seizures, which can lead to volume loss of this structure.

Fig 2. Volume determination based on MRI-datasets.

Image segmentation of white matter and grey matter using manual segmentation on a slice-by-slice basis from transverse images. Each tissue of interest is labelled red and thereby assigned to a group (mask). All masks are then assembled and the tissues can be depicted in volume form.

In the first step the cerebellum, brainstem, thalamus and hippocampus were segmented, assigned to a mask and excluded from the volume of interest (Fig 3). As the WM of the cerebral hemispheres, i.e. the internal capsules, merges into the thalamus running caudad towards the brainstem, a perpendicular line connecting the caudal border of the optic chiasm and the rostral border of the intermediate mass was drawn in reconstructed sagittal images. This line was automatically represented in all other imaging planes including the 3D model and was used to delineate the internal capsule transition from the cerebral hemispheres to the diencephalon. WM caudal to this line was not included. The lateral ventricles were segmented in a third step. The lateral ventricles included the Monroe`s foramen. The third and fourth ventricle was not included. The segmented WM GM and CSF partitions were calculated and graphically presented by the program (Fig 4 and S1 Table). The calculated volumes were put into relation to the whole cerebral volume and expressed as the relative CSF volume and relative GM- and WM volume. Furthermore the relationship between WM and GM was expressed as the WM/GM ratio.

Fig 3. Volume rendering of brain tissues of interest.

3D viewer mode of the graphical software AMIRA. The voxels of the tissue of interest (white matter/grey matter) of each slice have been assembled and are now displayed as a 3D model. Each tissue can be displayed solid or transparent. The localizer lines support the segmentation process. As they are displayed in both the 2D images and the 3D model, the thalamus, medulla and cerebellum can be accurately separated from the volume of interest.

Fig 4. Volume models of grey matter and white matter.

Frontal (A) and dorsal view of a 3D model of the brain of a Jack Russell Terrier. The white matter is labelled in red and the grey matter is transparent grey.

Statistical analysis

Statistical analysis was performed using the commercial statistical software package BMDP (BMDP Statistical Software, Inc., Los Angeles, USA). To test homogeneity of the groups the relative frequency of male and female animals in the groups was compared using Fisher`s exact test.

Relating the group comparison of target variables, in a first step the relative GM volume, the relative WM volume, relative CSF-volume and the WM/GM ratio was plotted against the body weight of the animals. Then the residuals of the linear regression model including group effects were checked for normality using a Q-Q-plot. If the conditions for its application are given the one-way analysis of covariance (ANCOVA) was used to assess the significance of the difference between the groups including the relationship between the independent variable body weight (X-axis) and the dependent variables relative GM-, WM- and CSF-volume as well as WM/GM ratio, (Y-axis). The slopes of the regression lines were compared between groups, testing the null hypothesis that for a special dependent variable the slopes are all identical (the lines are parallel). In a second part of the analysis the adjusted means (sample means adjusted for the common mean body weight and a common slope) of all groups were calculated and checked for significant differences between groups [30].



The dogs included in this study had been examined for various reasons presented in Table 1 together with breed and bodyweight. Five normal beagles of different body weight that were scanned as a part of another study were included this investigation. Group one included 37 mesaticephalic dogs. Their bodyweight ranged from 2.1 to 17 kg. Their median age was 3.0 years. Twenty of the dogs were male, 17 were female.

Group two included 35 brachycephalic dogs. Their bodyweight ranged from 1.8 to 17 kg. Their median age was 3.6 years. Sixteen dogs were male, 19 were female. A Fisher exact test revealed no differences in the frequency distribution of gender between groups (p = 0.145).

Table 1. Breed, body weight and diagnosis of the dogs included in groups one and two.

The results of the analysis with the ANCOVA model to are presented in Table 2 and Fig 5. All parameters show a significant correlation to bodyweight. Dogs with ventriculomegaly have a significantly higher adjusted means of the relative CSF volume. The WM/GMratio is significantly decreased in dogs with ventriculomegaly. Whereas the adjusted means of the relative GM was not significantly different between groups the adjusted means of the relative WM volume was significantly decreased in the groups with ventriculomegaly. Therefore, the model predicts that at the same bodyweight dogs with oversized ventricles have less WM than dogs with subjectively normal lateral ventricles.

Fig 5. Linear regression model analysis of the changes in relative grey matter (GM), white matter (WM)- and CSF volume and the WM/GMratio with increasing bodyweight in dogs.

The relative grey matter (GM), white matter (WM), and CSF volume of the lateral venmtricles as well as the WM/GM-ratio is plotted against the bodyweight in two groups of dogs. The open circles represent dogs with subjectively normal ventricles, the filled circles represent dogs with enlarged ventricles. The adjusted means in the middle of the regression lines of the groups differs significantly.


The dimensions of the cerebral ventricular volume in dogs have been reported to vary [17, 18]. In brachycephalic dogs in particular, the ventricles can be larger than expected. This has been referred to as ventriculomegaly to differentiate this condition from clinically relevant internal hydrocephalus. However, the designation of normal ventricles and enlarged ventricles remain poorly defined and are usually assessed subjectively [26].

It is unclear whether ventriculomegaly should be interpreted as one variant of a spectrum of ventricular dimensions in dogs or rather as a pathological condition. It was our hypothesis that the larger ventricles in brachycephalic dogs are a pathological condition as indicated by concurrent presence of WM loss due to ventricular distention as found in internal hydrocephalus. To investigate this hypothesis we examined the relative WM, GM, and CSF volume in dogs with different ventricular dimensions as well as their WM/GM ratio in proportion to their body weight and cerebral volume. The age of the animal has an important influence on the volumes of neural tissues, myelination and ventricular size. As cortical atrophy and ventricular enlargement have been identified as characteristic features of the aged canine brain [31], only dogs < 6 years of age were included in the study. Brain volume, myelination and ventricular volume change during brain growth [6, 3234]. Therefore, only dogs with a minimum age of 12 months were included. Testosterone levels are positively correlated with myelinogenesis [35]. This could lead to larger white matter volumes in male dogs. The potential influences of sexual dimorphism can be ignored in our study as the proportion of male and female dogs did not differ significantly between groups.

Epilepsy was one reason for MRI examination in 9 dogs of our control group. Although seizure activity can lead to brain damage, epileptic dogs have previously been used to study brain volumetrics [26, 28] as damage only occurs at the microscopic level [36, 37]. However, the hippocampus was a priori excluded from grey matter volume because variable loss of hippocampal volume identified on MR-images has been linked to seizure activity in dogs [38, 39].

MRI-based volume measurements of the brain parts are routinely performed in human and veterinary medicine [13, 15, 28, 30, 38,40, 41]. The accuracy of the technique even for small volumes has been proven in both veterinary [8, 17, 42] and human neuroradiology [42, 43]. However, manual segmentation approaches can be subject to investigator bias. The validity of our approach would have further increased with multiple examinations but we refrained from the determination of interobserver-variability as the manual segmentation process is extremely time consuming. This is the main limitation of the present study. Large and small dog heads were scanned using different receiver coils (knee coil, surface coil). It is possible that using different coils could have caused a bias in our measurements due to random differences in contrast or resolution. We only included image sets with sufficient resolution and contrast.

Our approach to comparing WM and GM volume in dogs followed the assumption of a basic uniformity of the neocortex and its connections in all dog breeds. We did not consider other non-allometric factors based on selection related to behavioural and environmental factors affecting brain size independently from selection for body size by breeders. Some breeds have been selectively bred for the “quality of learning,” but this has been upstaged in other breeds in favour of other characteristics. Mesaticephalic dogs have been reported to have higher trainability than brachycephalic dogs, which may have an influence on the number and connectivity of neurons [44]. This could influence the calculated relations if such dogs have more GM or WM at a given bodyweight (grade shift of brain mass), especially given that group two exclusively included brachycephalic dogs. Analysis of large homogenous groups of dogs would be necessary to reveal principle differences in brain morphology between dog breeds.

We also not consider the influence of obesity. The fat free body weight would have been the ideal parameter to show the precise allometric change of the brain tissues.

The present study indicates that ventriculomegaly in brachycephalic dogs without morphological abnormalities of the brain parenchyma is linked to a reduction in WM volume in relation to the GM mass of the cerebrum. As the constant relationship between WM and GM is universal in all mammalian brains, the reduced WM in combination with it the larger ventricles in these dogs should not be considered a physiological condition.

The origin of the WM loss is not clear. A primary white matter disease and distension of the ventricles “ex vacuo” would theoretically be possible. Leukencephalitis, leukodystrophies, hypomyelination and spongy degeneration must be considered in this context. However, such diseases would cause distinct MRI-findings beyond white matter atrophy [9]. Moreover, primary white matter diseases would cause severe neurological signs, such as tremor, ataxia, which were not diagnosed in our patients.

Internal hydrocephalus can lead to progressive destruction of WM in dogs [45, 46] as a consequence of high intraventricular pressure. It is reasonable to expect that the degree of intraventricular pressure determines the speed and severity of white matter injury and thereby functional brain deficits. Moderately increased pressure or intermittently high intraventricular CSF pressure might play an important role in the pathogenesis of WM loss in dogs with ventriculomegaly as proposed for normal pressure hydrocephalus (NPH) in humans [47]. It has been suggested that in NPH intermittent CSF pressure waves can produce temporary phases of ischaemia in the periventricular white matter. The chronic cumulative effects of these ischaemic events can produce WM atrophy that does not arise until late adulthood [47, 48]. Brain perfusion studies have revealed reduced regional cerebral blood flow in the periventricular region in human patients with NPH, which has been attributed to disturbances in CSF flow [49].

Ventriculomegaly has also been attributed to disturbances in CSF dynamics in dogs by some authors [15, 50]. Impaired CSF flow can be caused by obstruction of the foramen magnum, as found in dogs with morphological changes in the cranio-cervical junction referred to as Chiari-like malformation [50, 51]. It has been proposed that impaired CSF flow can result in syringomyelia as well as ventricular dilatation [52, 53]. However, this has only been proposed for the Cavalier King Charles spaniel and the Brussels Griffon and the prevalence of Chiari-like malformation in other breeds with ventriculomegaly needs closer evaluation.

Human patients with enlarged ventricles in association with NPH show characteristic signs of neural function deficits. The cardinal symptoms of NPH are gait impairment, dementia and urinary incontinence (“Hakim triad”) [54]. However, it has also been proposed that the full symptom triad represents an advanced stage of the disease and that NPH can be diagnosed in the presence of only two or even just one of the symptoms [54]. In contrast, the association of solitary ventriculomegaly with neurological deficits in dogs has been rejected [911, 13]. The lack of clinical signs as a consequence of ventricular enlargement in dogs as opposed to humans may initially be striking. However, control of locomotion is far more complex in humans and the motor cortex and its connections play a substantial role even during undemanding steady-state walking [55]. The cerebral control of locomotion plays a minor role in dogs and diseases affecting the forebrain may have only minimal influence on locomotion [56]. Urinary incontinence was not reported in the dogs of this study either. Although the control of micturition involves cortical centres in carnivores, pontine micturition centres maintain function without cerebral control [56]. Signs of dementia are difficult to diagnose in dogs. In human medicine, a diagnosis of dementia will be considered based on the occurrence of distinct clinical signs. The most important criteria are memory impairment, disturbed language function, inability to carry out purposeful movement, and failure to recognize people [54]. Such brain functions cannot be assessed in dogs, at least not in a clinical setting, and the real status of canine cognitive abilities cannot be determined with absolute certainty. On the other hand, it has been shown that even severe ventricular dilation is compatible with normal physical and intellectual development in humans and that the ventricular volumes of hydrocephalic patients did not correlate well with their intelligence quotient [57, 58].

The influence of ventriculomegaly on brain function in dogs is unclear. Detailed behavioural studies of the impact of WM loss on the full functional integration of the nervous system are necessary to clarify whether ventriculomegaly might be an indication for CSF shunting procedures in dogs. If clinical or experimental data for cognitive impairment or intermittently high CSF pressure waves could be found, naturally occurring ventriculomegaly in dogs might be an interesting animal model for human NPH.


Brachycephalic dogs with ventriculomegaly can have reduced cerebral white matter. As a predetermined relationship exists between WM and GM mass in the brain of mammals this aberration cannot be interpreted as a physiological condition.

Supporting Information

S1 Table. Calculated volumes of grey matter, white matter, lateral ventricles and the WM/GM ratio for each dog included into the study.


Author Contributions

Conceived and designed the experiments: MJS NO M. Kolecka. Performed the experiments: NO SL M. Kolecka. Analyzed the data: KF MJS SL. Contributed reagents/materials/analysis tools: MJS M. Kramer. Wrote the paper: MJS AM NO.


  1. 1. Seiferle E (1966) Zur Topographie des Gehirns bei lang—und kurzköpfigen Hunderassen. Acta Anat 63: 346–362. pmid:5918444
  2. 2. Roberts T, McGreevy P, Valenzuela M (2010) Human induced rotation and reorganization of the brain of domestic dogs. PLoS One 26: e11946. pmid:20668685
  3. 3. Oboussier H (1955) Behavior of cerebral sulcus formation in crossbreeding of extreme breed types of dogs. Z Mensch Vererb Konstitutionsl 33:1–9. pmid:13248058
  4. 4. Schmidt MJ, Amort K, Kramer M (2012) Postnatal development of the cerebral gyrification in the canine brain. Vet Radiol & Ultrasound 53: 643–649.
  5. 5. Schmidt MJ, Neumann AC, Amort KH,Failin K, Kramer M (2011) Cephalometric measurements and determination of the general skull type of Cavalier King Charles Spaniels. Vet Radiol & Ultrasound 52: 436–440.
  6. 6. Kii S, Uzuka Y, Taura Y, Nakaichi M, Takeuchi A, Inokuma H, et al. (1997) Magnetic resonance imaging of the lateral ventricles in beagle-type dogs. Vet Radiol & Ultrasound 38: 430–433.
  7. 7. Schröder H, Meyer-Lindenberg A, Nolte I (2006) Comparative examination of the lateral cerebral ventricles of different dog breeds using quantitative computed tomography. Berl Munch Tierarztl Wochenschr 119: 506–511. pmid:17172139
  8. 8. Vullo T, Korenman E, Manzo RP, Gomez DG, Deck MD, Cahill PT. (1997) Diagnosis of cerebral ventriculomegaly in normal adult beagles using quantitative MRI. Vet Radiol & Ultrasound 38: 277–281.
  9. 9. Gavin PR, Bagley RS (2011). Practical Small Animal MRI Wiley Blackwell, Iowa USA. 64p
  10. 10. Schwarz T, Saunders J (2012) Veterinary Computed Tomography. Wiley Blackwell Iowa USA. 185 p
  11. 11. Lu D, Lamb CR, Pfeiffer DU, Targett MF (2003) Neurological signs and results of magnetic resonance imaging in 40 cavalier King Charles spaniels with Chiari type 1-like malformations. Vet Rec 153: 60–63. pmid:12885216
  12. 12. Driver CJ, Chandler K, Walmsley G, Shibab N, Volk HA (2013) The association between Chiari-like malformation, ventriculomegaly and seizures in cavalier King Charles spaniels. Vet J 195: 235–237. pmid:22749114
  13. 13. Vite CH, Insko EK, Schotland HM, Panckeri K, Hendricks JC (1997) Quantification of cerebral ventricular volume in English bulldogs. Vet Radiol & Ultrasound 38: 437–443.
  14. 14. Dexler H (1923) Über die konstitutionelle innere Hydrocephalie beim Hunde. Prag Tierärztl Arch 3: 103–268.
  15. 15. Driver CJ, Rusbridge C, Cross HR, McGonnell I, Volk HA (2010) Relationship of brain parenchyma within the caudal cranial fossa and ventricle size to syringomyelia in cavalier King Charles spaniels. J Small Anim Pract 51: 382–386. pmid:20536691
  16. 16. Saito M, Olby NJ, Spaulding K, Muñana K, Sharp NJ (2003) Relationship among basilar artery resistance index, degree of ventriculomegaly, and clinical signs in hydrocephalic dogs. Vet Radiol & Ultrasound 44: 687–694.
  17. 17. De Haan CE, Kraft SL, Gavin PR, Wendling LR (1994) Normal variation in size of the lateral ventricles of the Labrador Retriever dog as assessed by magnetic resonance imaging. Vet Radiol & Ultrasound 35: 83–86.
  18. 18. Spaulding KA, Sharp NJH (1990) Ultrasonographic imaging of the lateral cerebral ventricles in the dog. Vet Radiol & Ultrasound 31: 59–64.
  19. 19. Zhang K, Sejnowski TJ (2000) A universal scaling law between gray matter and white matter of cerebral cortex. Proc Natl Acad Sci USA 97: 5621–5626. pmid:10792049
  20. 20. Frahm HD, Stephan H, Stephan M (1982) Comparison of brain structure volumes in Insectivora and Primates. I. Neocortex. J Hirnforsch 23: 375–389. pmid:7161477
  21. 21. Rilling JK, Insel TR (1999) Differential expansion of neural projection systems in primate brain evolution. Neuroreport 10: 1453–1459. pmid:10380962
  22. 22. Changizi MA (2001) Principles underlying mammalian neocortical scaling. Biol Cybern 84: 207–215. pmid:11252638
  23. 23. Roth G, Dickie U (2005) Evolution of the brain and intelligence. Trends Cogn Sci. 9: 250–257. pmid:15866152
  24. 24. Purves D, Augustine GJ, Fitzpatrick D, Katz LC, LaMantia AS, McNamara JO, Williams SM, editors (2001) Neuroscience. 2nd edition. Sunderland (MA): Sinauer Associates.
  25. 25. Carrera I, Dennis R, Mellor DJ, Penderis J, Sullivan M (2009) Use of magnetic resonance imaging for morphometric analysis of the caudal cranial fossa in Cavalier King Charles Spaniels. Am J Vet Res 70: 340–345. pmid:19254145
  26. 26. Thomas B (2010) Hydrocephalus in dogs and cats. Vet Clin Small Anim 40: 143–159 pmid:19942061
  27. 27. Cross HR, Capello R, Rusbridge C (2009) Comparison of cerebral cranium volumes between Cavalier King Charles Spaniels with Chiari-like malformation, small breed dogs and Labradors. J Small Anim Pract 50: 399–405. pmid:19689667
  28. 28. Schmidt MJ, Biel M, Klumpp S, Schneider M, Kramer M (2009) Evaluation of the volumes of cranial cavities in Cavalier King Charles spaniels with Chiari- like malformation and other brachycephalic dogs as measured via computed tomography. Am J Vet Res. 70: 508–512. pmid:19335107
  29. 29. Shaw TA, McGonnell IM, Driver CJ, Rusbridge C, Volk HA (2012) Increase in cerebellar volume in Cavalier King Charles Spaniels with Chiari-like malformation and its role in the development of syringomyelia. PLoS One 7(4): e33660. pmid:22506005
  30. 30. Barton RA, Harvey PH (2000) Mosaic evolution of brain structure in mammals. Nature 29: 1055–1058. pmid:11193258
  31. 31. Su MY, Head E, Brooks WM (1998) Magnetic resonance imaging of anatomic and vascular characteristics in a canine model of human aging. Neurobiol Ageing 19: 479–485. pmid:9880050
  32. 32. Gross B, Garcia-Tapia D, Riedesel E, Ellinwood NM, Jens JK (2010) Normal canine brain maturation at magnetic resonance imaging. Vet Radiol & Ultrasound 51: 361–373.
  33. 33. Arant BS, Gooch WM (1982) Developmental changes in the mongrel canine brain during postnatal life. Early Hum Dev 7: 179–194. pmid:7151729
  34. 34. Fox MW (1964) The postnatal growth of the canine brain and correlated anatomical and behavioural change during neuro-ontogenesis. Growth 28: 135–141. pmid:14189833
  35. 35. Martini L, Melcangi RC (1991) Androgen metabolism in the brain. J Steroid Biochem Mol Biol 39: 819–828. pmid:1954172
  36. 36. Montgomery DL, Lee AC (1983) Brain damage in the epileptic Beagle dog. Vet Pathol 20: 160–169. pmid:6836872
  37. 37. Morita T, Shimada A, Ohama E, Umemura T, Fukuda S (1999) Oligodendroglial vacuolar degeneration in the bilateral motor cortices and astrocytosis in epileptic Beagle dogs. J Vet Med Sci 61: 107–111. pmid:10081746
  38. 38. Yamasaki H, Furuoka H, Takechi M, Itakura C (1991) Neuronal loss and gliosis in limbic system in an epileptic dog. Vet Pathol 28: 540–542. pmid:1771745
  39. 39. Breitschwerdt EB, Breazile JE, Broadhurst JJ (1979) Clinical and electroencephalographic findings associated with ten cases of suspected limbic epilepsy in the dog. J Am Anim Hosp Assoc 15: 37–50.
  40. 40. Milne ME, Anderson GA, Chow KE, O'Brien TJ, Moffat BA, Long SN (2013) Description of technique and lower reference limit for magnetic resonance imaging of hippocampal volumetry in dogs. Am J Vet Res 74: 224–231. pmid:23363346
  41. 41. Thames R, Robertson ID, Flegel T, Henke D, O'Brien DP, Coates JR, et al. (2010) Development of a morphometric Magnetic Resonance Image parameter suitable for distinguishing between normal dogs and dogs with cerebellar atrophy. Vet Radiol & Ultrasound 51: 246–253.
  42. 42. Rifa H, Bloch I, Hutchinson S, et al. (2000) Segmentation of the skull in MRI volumes using deformable model and taking the partial volume effect into account. Med Image Anal 4: 219–233. pmid:11145310
  43. 43. Vullo T, Deo-Narine V, Stallmeyer MJ, Wiart J, Garnero L (1996) Quantitation of normal canine hippocampus formation volume: correlation of MRI with gross histology. Magn Reson Imaging 14: 657–662. pmid:8897370
  44. 44. Helton WS (2009) Cephalic index and perceived dog trainability. Behav Proc 82: 355–358.
  45. 45. Wünschmann A, Oglesbee M (2001) Periventricular changes associated with spontaneous canine hydrocephalus. Vet Pathol 38: 67–73. pmid:11199166
  46. 46. Yamada H, Yokota A, Haratake J, Horie A (1996) Morphological study of experimental syringomyelia with kaolin-induced hydrocephalus in a canine model. J Neurosurg 84: 999–1005. pmid:8847595
  47. 47. Del Bigio MR (1993) Neuropathological changes caused by hydrocephalus. Acta Neuropathol 85: 573–585. pmid:8337936
  48. 48. Akai K, Uchigasaki S, Tanaka U, Komatsu A (1987) Normal pressure hydrocephalus: neuropathological study. Acta Pathol Jpn 37: 97–110. pmid:3577765
  49. 49. Momjian S, Owler BK, Czosnyka Z, Czosnyka M, Pena A, Pickard JD (2004) Pattern of white matter regional cerebral blood flow and autoregulation in normal pressure hydrocephalus. Brain.127: 965–972. pmid:15033897
  50. 50. Rusbridge C, Knowler SP, Pieterse L Mc Fadyen A (2009) Chiari-like malformation in the Griffon Bruxellosis. J Small Anim Pract 50: 386–393. pmid:19689665
  51. 51. Rusbridge C, MacSweeney JRE, Davies SJChandler K, Fitzmaurice SN, Dennis R, Cappello R, Wheeler SJ. (2000) Syringohydromyelia in Cavalier King Charles Spaniels. J Am Anim Hosp Assoc 36: 34–41. pmid:10667404
  52. 52. Levine DN (2004) The pathogenesis of syringomyelia associated with lesions at the foramen magnum: a critical review of existing theories and proposal of a new hypothesis. J Neurol Sci 220: 3–21. pmid:15140600
  53. 53. Rusbridge C, Knower SP (2004) Inheritance of occipital bone hypoplasia (ChiariI malformation) in Cavalier King Charles spaniels. J Vet Int Med 18:673 678.
  54. 54. Kiefer M, Unterberg A (2012) The differential diagnosis and treatment of normal-pressure hydrocephalus. Dtsch Arztebl Int 109: 15–25. pmid:22282714
  55. 55. Miyai I, Tanabe HC, Sase I, Eda H, Oda I, Konishi I, Tsunazawa Y, Suzuki T, Yanagida T, Kubota K (2001) Cortical mapping of gait in humans: A near-infrared spectroscopic topography study. Neuroimage 141186–1192.
  56. 56. DeLahunta A, Glass E (2009).Veterinary neuroanatomy and clinical neurology. Saunders Elsevier, Missouri. 37p.
  57. 57. Lorber J (1983) Hydrocephalus in frühen Kindersalter. Edited by Stuttgart VD. Enke: 2–14.
  58. 58. Jackson PH, Lorber J (1984) Brain and ventricular volume in hydrocephalus. Z Kinderchir 39 (Suppl 2): 91–93. pmid:6524106