Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2009 Jan 1.
Published in final edited form as: Neurobiol Aging. 2006 Nov 7;29(1):39–50. doi: 10.1016/j.neurobiolaging.2006.09.018

Region specific neuron loss in the aged canine hippocampus is reduced by enrichment

Christina T Siwak-Tapp a,*, Elizabeth Head a,b, Bruce A Muggenburg c, Norton W Milgram d, Carl W Cotman a
PMCID: PMC2198929  NIHMSID: NIHMS35404  PMID: 17092609

Abstract

Neuron loss within the hippocampus and entorhinal cortex occurs as a function of age in humans. We first tested the hypothesis that neuron loss occurs in the aged dog. The total unilateral number of neurons in the canine entorhinal cortex and subdivisions of the hippocampus from the left hemisphere were estimated using the optical fractionator. The brains from 5 old (13.0 – 15.0 years old) and 5 young (3.4 – 4.5 years old) beagle dogs were analyzed. The hilus of the hippocampus showed a significant loss of neurons (~30%) in the aged dog brain compared to young. Differences were not detected in the remaining hippocampal subfields and entorhinal cortex. We further tested the hypothesis that an antioxidant fortified food or behavioral enrichment would reduce the age-related loss of hilar neurons. Behaviorally enriched aged dogs had more neurons in the hilus (~18%) compared to aged controls. These results suggest that the aged canine hippocampus in the left hemisphere shows selective neuron loss and that behavioral enrichment may reduce this loss.

Keywords: dog, brain, aging, hippocampus, neuron loss, antioxidants, enrichment

1. Introduction

The hippocampus and entorhinal cortex are brain regions essential for intact cognitive abilities and appear to be particularly vulnerable to the aging process. In normal human aging, stereological studies have revealed neuron loss in the hilus and subiculum of the hippocampus (70,89,92), and within islands in layer II of the entorhinal cortex (37,69). Neuron loss also occurs in the hilus of the hippocampus of aged rats (7,11,67), but not in any area or layer of the entorhinal cortex, even when cognitive status is considered (45). By contrast, neuron loss has not been reported in any subregion of the hippocampus (41) or any layer of the entorhinal cortex of non-human primates (25,46).

Neuron number and function may be modulated by environmental enrichment. Environmental enrichment involves rearing animals in a socially and physically stimulus-rich environment (86). This typically involves housing animals in groups to increase social contact, and adding novel objects to the immediate environment to stimulate exploratory behavior. Environmental enrichment in mice increases the number of hippocampal dentate gyrus neurons and neurogenesis (40).

Neuron number and function may also be compromised by oxidative damage. Increasing oxidative damage to proteins, lipids and nucleotides may contribute to neuron dysfunction in normal and pathological aging in humans (3,31). Mitochondria are a source of damaging free radicals and they are in turn, particularly vulnerable to free radicals. Oxidative damage produces mutations in mitochondrial DNA, alters membrane fluidity and phospholipid composition, and leads to dysfunctional mitochondrial proteins (68). The result is a loss of biochemical and physiological function of mitochondria in the cell, which impairs normal cellular activities. In support of the hypothesis that oxidative damage may lead to neuron death, providing rats with Vitamin E increases neurogenesis (12,15,18) and improves cell survival in the dentate gyrus (14,18,23).

The aging dog exhibits many features of normal brain aging that develop in humans. Aged dogs show declines in cognitive function (36,47,81,82,83,85), decreased brain volume (77,78,80,84), behavioral alterations (33,72,74,75), and neuropathology including the accumulation of human-type beta-amyloid (34,66,95), increased oxidative damage (35,56,64,76) and apoptosis (4,42). Previous studies that examined neuron number in the canine brain report significant decreases with age in the cingulate gyrus, superior colliculus and claustrum (8,53). Calbindin-positive GABAergic neurons in the prefrontal cortex of the canine brain are also vulnerable to aging (61). No evidence of neuron loss, however, has been reported in other brain regions including the hippocampus in the aged dog.

The goal of the present study was to examine the effect of age on neuron number in the canine hippocampus and entorhinal cortex using the optical fractionator in the left hemisphere. We hypothesized that neuron loss in the canine hippocampus, like that in humans, will be region specific and may also occur in the entorhinal cortex. We further tested the hypothesis that an antioxidant fortified food or behavioral enrichment or both would reduce age-related loss of neurons or increase the number of neurons relative to untreated control animals. We further examined the relationship between neuron number and cognitive function to determine whether changes in neuron number could account for the cognitive enhancing effects of the behavioral enrichment and antioxidant fortified food.

2. Materials and Methods

2.1 Aging study animals

The brains from 5 aged (13.0 – 15.0 years old) and 5 young (3.4 – 4.5 years old) Beagles from the Lovelace Respiratory Research Institute (LRRI, Albuquerque, NM) breeding colony were used to examine age-related differences in neuron number in the hippocampus and entorhinal cortex. Unilateral neuron numbers were acquired for each subregion of the left hippocampus separately. Unilateral neuron numbers were determined for the left entorhinal cortex and in layer II specifically.

2.2 Treatment study animals

Twenty-four reproductively intact dogs aged 7.8–12.1 years at the start of the study were obtained from LRRI and were divided into 4 treatment groups based on cognitive ability (48,49,50,51). All dogs were evaluated at regular intervals over the duration of the study by a veterinarian and determined to be in good health. After 2.8 years of treatment, tissue was available for 6 dogs that received the diet, 5 dogs that received the behavioral enrichment, 6 dogs receiving a combined treatment and 5 dogs that did not receive either treatment. At that time the dogs ranged in age from 10.7–15 years of age. The 5 dogs that did not receive either treatment were also the aged dogs used for the age comparisons. The treatment study animals were cognitively assessed over the course of the study, which provided behavioral correlates to assess the functional significance of neuron numbers. Animals in the treatment study have been described in several publications (48,49,50,51,73) as part of a longitudinal study of aging and the effects of chronic treatment with behavioral enrichment and/or an antioxidant fortified food.

2.3 Dietary intervention

The control and antioxidant fortified foods were formulated to meet the nutrient profile for the American Association of Feed Control Officials recommendations for adult dogs (5). Control and test foods were identical in composition, other than inclusion of a broad-based antioxidant and mitochondrial cofactor supplementation to the test food. The control and fortified foods had the following differences in formulation on an as fed basis respectively: dl-alpha-tocopherol acetate, (120 ppm vs approximately 1000 ppm), l-carnitine (< 20 ppm vs 250–300 ppm), dl-alpha-lipoic acid (<20 ppm vs approximaetly 120 ppm), ascorbic acid as Stay-C (< 30 ppm vs approximately 80–100 ppm), and 1% inclusions of each of the following (1 to 1 exchange for corn): spinach flakes, tomato pomace, grape pomace, carrot granules and citrus pulp. The food was produced by an extrusion process and was fed for no more than 6 months before a new lot was milled.

2.4 Behavioral enrichment

The behavioral enrichment protocol consisted of social enrichment, by housing animals in pairs, environmental enrichment, by providing play toys on a weekly rotation, physical enrichment, by providing two 20-minute outdoor walks per week, and cognitive enrichment, through continuous cognitive testing. The cognitive enrichment consisted of a landmark discrimination task within 2 weeks of starting treatment (47,48), an oddity discrimination task after 6 months of treatment (51), and size concept learning after 1.5 years of treatment (73,85).

All animals, regardless of treatment group were evaluated on a test of spatial memory annually; at baseline, 1 and 2 years after the start of treatment (13), size discrimination and reversal learning at the 1 year timepoint (49,50,82), and black/white discrimination and reversal at the 2 year timepoint (24,49). Dogs were euthanized at the end of the black/white discrimination and reversal learning task.

2.5 Tissue preparation

While under anesthesia (5% isoflurane), dogs were ex-sanguinated by cardiac puncture and within 15 minutes the brain was removed from the skull. The brain was sectioned midsagitally, with the entire left hemisphere being immediately placed in 4% paraformaldehyde for 48–72 hours at 4°C then transferred to phosphate buffered saline with 0.05% sodium azide at 4°C for long term storage. The left hemisphere was sent to NeuroScience Associates for sectioning. NeuroScience Associates treated individual canine hemispheres with 20% glycerol and 2% dimethylsulfoxide to prevent freeze-artifacts and subsequently embedded two hemispheres (i.e. two animals) per block in a gelatin matrix using MultiBrain Technology™ (NeuroScience Associates, Knoxville, TN; www.neuroscienceassociates.com/multibrain.htm). After curing in formaldehyde, the block of embedded hemispheres was rapidly frozen by immersion in isopentane chilled to −70°C with crushed dry ice and mounted on a freezing stage of an AO 860 sliding microtome. The MultiBrain™ block was sectioned coronally at 40μm. All sections cut (none were discarded) were collected sequentially into a 4×6 array of containers which were filled with Antigen Preserve solution (50% PBS pH 7.0, 50% Ethylene glycol, 1% Polyvinyl Pyrrolidone) for sections to be immunohistochemically stained. At the completion of sectioning, each container held a serial set of one-of-every-24th section (or one section every 960μm). A total of approximately 1400 sections was generated per hemisphere. One container of free-floating sections was randomly selected per dog and all sections in that container that included the hippocampus or entorhinal cortex were collected for immunohistochemical staining.

2.6 Immunohistochemistry

Standard immunohistochemical methods were used and have been published elsewhere (17,34). Briefly, neurons were identified using anti-mouse-neuronal nuclei (NeuN) at 1:1100 (Chemicon International, Temecula CA). Bound secondary biotinylated anti-mouse IgG (Vector Laboratories, Burlingame, CA) antibody was detected using ABC peroxidase kits and NeuN immunostaining was visualized using a SG Blue substrate kit, both from Vector Laboratories (Burlingame, CA). Free-floating sections were mounted onto gelatin coated slides, dehydrated through ethanols and coverslipped with DePeX mounting medium. Control experiments where primary or secondary antibody was omitted resulted in negative staining. One section from each dog was stained simultaneously in one immunohistochemistry run to maintain consistent reagent and dilution parameters and to reduce variability. NeuN was chosen because atrophic neurons can be confused with glia when Nissl stains are used (43) and NeuN can be used to confirm the identity of small cells in Nissl staining (7,26). To verify that the antibody penetrated the full thickness of the section, we used a systematic uniform random sampling scheme to measure the thickness of the section at 508 places (approx 100 per group of dogs) from all sections sampled from each animal used in the study using a 60x oil immersion lens. From each section at least 2 different sites were measured. Penetration of the antibody was complete since labeled cells were detectable in all deeper layers within a section. There were no significant differences in postprocessing tissue thickness between the groups of animals (young = 19.78±0.87 μm; old 19.76±1.04; antox 18.91±0.99; enrich 19.00±1.24; antox-enrich 18.94±0.95).

2.7 Stereological evaluation

The optical fractionator technique (94) was used to estimate the total unilateral neuron number in all subregions of the hippocampus and the entorhinal cortex. Counting was performed using an Olympus BX50 microscope (Olympus, Tokyo, Japan) equipped with a motorized stage (Prior Scientific Inc., Rockland, MA) connected to a digital microcator (Heidenhain, Germany), and a video camera (JVC, Japan) connected to a computer with the CAST-GRID software package (Olympus, Copenhagen, Denmark).

All parameters for the canine hippocampus and entorhinal cortex were determined in a pilot study such that the coefficients of error for individual estimates were less than 10% (based on 29,41). The experimental parameters used are listed in Table 1. Estimates were based on counting NeuN positive nuclei as they came into focus.

Table 1.

Experimental parameters used with the optical fractionator: neuron count = Σ Q ; area of the disector frame = a(frame); area sampling fraction = asf; section thickness = t; height of the optical disector = h; thickness sampling fraction = tsf; section sampling fraction = ssf.

mean Σ Q ± SD A(frame) (μm2) x,y step (μm × μm) asf mean t ± SD (μm) h (μm) tsf mean number of sections ± SD ssf
Granule 955±217 716.0 300×300 .0080 19.43±0.95 t 1 11±2 1/24
Hilus 371±89 1432.1 150×150 .0636 19.43±0.95 t 1 11±2 1/24
pCA3 597±84 1432.1 150×150 .0636 19.43±0.95 t 1 10±2 1/24
dCA3 299±31 1432.1 250×250 .0229 19.43±0.95 t 1 10±2 1/24
CA2 318±60 1432.1 150×150 .0636 19.43±0.95 t 1 11±2 1/24
CA1 259±37 1432.1 600×600 .0040 19.43±0.95 t 1 11±2 1/24
Subiculum 273±33 1432.1 500×500 .0057 19.43±0.95 t 1 10±2 1/24
Entorhinal 128±32 1432.1 800×800 .0022 19.43±0.95 t 1 10±2 1/24
Layer II 316±31 1432.1 200×200 .0358 19.43±0.95 t 1 10±2 1/24
Treatment Study
Hippocampus 172±36 1432.1 1700×1700 .0005 19.13±1.03 t 1 13±2 1/24
Entorhinal 120±32 1432.1 800×800 .0022 19.13±1.03 t 1 10±2 1/24
Hilus 311±57 1432.1 150×150 .0636 19.13±1.03 t 1 11±2 1/24

All evaluations were performed with a 60x oil objective lens (N.A. 1.4)

Individual estimates of the total unilateral neuron number (N) for each region were calculated according to the following formula: N = ΣQ × 1/ssf × 1/asf × 1/tsf where ΣQ is the sum of counted neurons, ssf is the section sampling fraction, asf is the area sampling fraction, and tsf is the thickness sampling fraction. The thickness of the section was used as the height of the disector making the tsf equal to 1. Optical fractionator rules typically require the use of guard zones at the upper and lower surfaces of the section. In the current study, we used a modified optical fractionator technique in which we did not use guard zones making the height of the counting frame equal to the section thickness. Several authors have used full section thickness and indicate that undercounting may occur (19,32,54). We used a systematic uniform random sampling scheme to measure the depth of 523 neurons (approx 100 per group of dogs) and found that the plots of cell depth looked similar between groups (Figure 1). These data indicate that this counting procedure may have yielded results that were an undercount of neurons because of the inability to compensate for lost caps or cells damaged at the inclusion surface (44). The top plane was used as the exclusion plane for the counting frame.

Figure 1.

Figure 1

Relative plots of cell position within the tissue sections for each group of dogs. The plots appear similar between the groups.

2.8 Delineation of the hippocampal subregions

The delineation of the hippocampal subregions was based on descriptions of human and rhesus monkey (30,41,89,91) and on canine hilus descriptions (10,39,65,87). Figure 2 shows the subregions of the canine hippocampus and the entorhinal cortex. All delineations were made using a 4x objective lens and subsequent counting performed using a 60x oil immersion lens for a final onscreen magnification of 2326x. The granule cell layer of the dentate gyrus forms a distinct cell layer of small and densely packed cells. The hilus was defined by its border with the granule cell layer and by lines drawn from the tips of the granule cell layer to the clearly distinguishable proximal tip of the CA3 pyramidal cell layer. The promixal area of CA3 (pCA3) began as a hook and continued to the point where the cells became more tightly packed, which is where the distal area CA3 (dCA3) began. The dCA3 region continued to the point where the packing of the cells decreased. From this point CA2 was defined until the packing of neurons decreased again and began to form the two layers of region CA1. CA1 continued to the border with the subiculum where neuron appearance and size changed. No attempt was made to divide the subiculum into subregions and thus our subiculum included the pre- and para-subicular regions.

Figure 2.

Figure 2

A montage showing the NeuN immunohistochemical stained canine hippocampus with subregions and the entorhinal cortex with layer II delineated for neuron counts.

The canine entorhinal cortex was identified, based on descriptions (2,96,97) as beginning after the subicular region and continuing to the rhinal sulcus (see Figure 2). Layer II was identified as the darker band of pyramidal neurons close to the outer surface of the entorhinal cortex.

2.9 Data analysis

A multivariate analysis of variance (MANOVA) was performed with age as the between subject variable and neuron numbers for each region as the dependent measures.

For the treatment study, a 2-way MANOVA was performed with food and enrichment as the between subject factors and neuron numbers for each region as the dependent measures. Pearson product correlations were used to examine the relationship between hilus neuron number and cognitive data collected during the treatment period. Bonferoni corrections for the multiple correlations required a significance level of p < 0.0083. All statistical analyses were performed using SPSS for windows version 13.0.

3. Results

3.1 Aging study

Tables 2 and 3 show a significant and selective age-related loss of neurons in the hilus of the hippocampus [F(1,8) = 10.28, p = .012]. There were no significant differences in neuron number between the young and aged dogs in the granule cell layer of the dentate gyrus (p = .546), area pCA3 (p = .476), area dCA3 (p = .662), total area CA3 (p = .869), area CA2 (p = .809), area CA1 (p = .915), the subiculum (p = .280) of the hippocampus, or within the entorhinal cortex (p = .561) or layer II of the entorhinal cortex (p = .584). Islands in the entorhinal cortex as shown in Figure 2 were apparent but could not be clearly delineated on all sections for accurate counts, thus total layer II neuron estimates were used for analysis and served as a more conservative measure of possible entorhinal neuron loss.

Table 2.

Estimated individual unilateral neuron number (N × 103) with CE in each subregion of the hippocampal formation and entorhinal cortex of young beagle dogs: mean group numbers (mean N), standard deviation (SD), coefficient of error (CE and mean CE).

Age (yrs) Granule hilus pCA3 dCA3 CA2 CA1 Subiculum Sum Entorhinal Layer II
N CE N CE N CE N CE N CE N CE N CE ΣN N CE N CE
3.4 2554 .0473 184 .0503 236 .0501 366 .0527 140 .0665 1255 .0715 1134 .0680 5841 1384 .0916 229 .0611
4.1 3826 .0392 160 .0588 188 .0496 287 .0649 102 .0668 1918 .0590 1292 .0688 7639 1384 .0916 191 .0639
4.2 2803 .0380 191 .0467 260 .0423 289 .0687 130 .0569 1490 .0643 1028 .0779 6161 2132 .0798 231 .0589
4.4 3561 .0389 145 .0589 233 .0501 308 .0621 123 .0617 1786 .0613 1294 .0660 7441 1437 .0896 193 .0646
4.5 4220 .0355 140 .0575 247 .0446 290 .0645 113 .0667 1356 .0701 953 .0738 7234 1106 .1010 196 .0642
Mean 3393 .0399 164* .0546 233 .0474 308 .0628 122 .0638 1561 .0654 1140 .0710 6863 1488 .0909 208 .0602
SD 699 23 27 33 15 282 153 808 383 20
CV2 .0424 .0201 .0135 .0117 .0145 .0327 .0181 .0660 .0094
CE2 .0016 .0030 .0023 .0039 .0041 .0043 .0050 .0083 .0036
BCV2 .0408 .0172 .0112 .0077 .0104 .0284 .0131 .0578 .0058
(% of CV2)
BCV2 96 85 83 66 72 87 72 88 62

BCV2 = CV2 – CE2 (CE = coefficient of error; CV = coefficient of variation; BCV = biological coefficient of variation)

*

significantly higher than aged dogs (p < 0.05)

Table 3.

Estimated individual unilateral neuron number (N × 103) with CE in each subregion of the hippocampal formation and entorhinal cortex of aged beagle dogs: mean group numbers (mean N), standard deviation (SD), coefficient of error (CE and mean CE).

Age (yrs) Granule hilus pCA3 dCA3 CA2 CA1 Subiculum Sum Entorhinal Layer II
N CE N CE N CE N CE N CE N CE N CE ΣN N CE N CE
13.0 2516 .0412 96 .0688 206 .0480 281 .0646 112 .0633 1351 .0691 1047 .0683 5611 1502 .0869 237 .0592
13.6 4248 .0315 107 .0616 246 .0423 348 .0575 167 .0497 1520 .0663 1303 .0617 7939 1856 .0776 206 .0611
14.2 3442 .0352 158 .0525 256 .0438 358 .0569 109 .0614 1376 .0684 1123 .0675 6821 1062 .1030 244 .0561
14.5 2929 .0364 108 .0637 218 .0464 291 .0619 119 .0587 1725 .0613 1127 .0660 6518 1523 .0853 196 .0607
15.0 2371 .0444 110 .0671 161 .0547 309 .0656 83 .0729 1750 .0659 1341 .0646 6125 697 .1270 197 .0637
Mean 3101 .0380 116* .0630 217 .0473 318 .0614 118 .0617 1544 .0663 1188 .0657 6603 1328 .0976 216 .0626
SD 764 24 37 34 30 188 127 873 451 22
CV2 .0607 .0428 .0296 .0114 .0664 .0148 .0114 .1156 .0111
CE2 .0014 .0039 .0022 .0038 .0038 .0044 .0043 .0095 .0039
BCV2 .0593 .0389 .0274 .0077 .0626 .0104 .0071 .1060 .0072
(% of CV2)
BCV2 98 91 93 67 94 70 62 92 65

BCV2 = CV2 – CE2 (CE = coefficient of error; CV = coefficient of variation; BCV = biological coefficient of variation)

*

significantly lower than young dogs (p < 0.05)

3.2 Treatment study

Comparing the different treatment groups did not reveal significant differences in total neuron number in the hippocampus for either the enrichment condition (p = .779), or the antioxidant fortified food (p = .362). There were no differences in neuron number of the entorhinal cortex in the enrichment condition (p = .378) or the antioxidant fortified food (p = .305).

Because the hilus was vulnerable to aging, we compared neuron number in this subregion across the treatment groups. The behaviorally enriched dogs had significantly more neurons in the hilus of the hippocampus compared to aged-matched controls [F(1,20) = 4.862, p = .041] (Figure 3). Hilar neuron number was not completely restored to young animal levels as the behaviorally enriched aged dogs still had significantly fewer neurons compared to young dogs [F(1,14) = 10.17, p = .007]. This effect was selective for the enrichment as the antioxidant fortified food had no effect on neuron number in the hilus (p = .584).

Figure 3.

Figure 3

Hilar neuron number in aged dogs is significantly lower compared to young dogs (p = .012). Hilar neuron number in aged dogs provided with behavioral enrichment was significantly higher compared to aged control dogs (p = .041).

3.3 Cognition

The aged dogs in the treatment study were tested on several cognitive tasks during the 3 years of the study prior to euthanasia. Correlations between hilar neuron number, which was sensitive to age and treatment, and the standard cognitive tasks used during the longitudinal study are listed in Table 4. There were no significant correlations after Bonferoni correction which required p < .0083.

Table 4.

Correlations between neuron counts in the hilus of the hippocampus and error scores on cognitive tasks.

Task Timepoint r p
Spatial Memory 1 year −0.266 0.243
Size Discrimination 1.5 years −0.464 0.030
Size Reversal 1.5 years −0.332 0.132
Spatial Memory 2 years −0.184 0.438
Black/White Discrimination 2.5 years 0.016 0.946
Black/White Reversal 2.5 years −0.348 0.122

p< 0.0083

4. Discussion

This study examined neuron number as a function of age in the canine hippocampus and entorhinal cortex of the left hemisphere using the optical fractionator. The present results reveal a significant subregion specific age-related loss of neurons in the hilus of the canine hippocampus that is similar to observations in normal aged humans. Further, hilar neuron number in aged animals could be modified by providing animals with a program of behavioral enrichment but not with an antioxidant fortified food.

4.1 Age-related neuron loss in humans and animals

We hypothesized that aged dogs would show a pattern of neuron loss in the hippocampus and entorhinal cortex similar to that observed in aging humans. A significant loss of neurons was found in the hilus of the canine hippocampus, as in humans, but not in the other subregions or the entorhinal cortex of aged dogs. Stereological studies in humans report a loss of neurons in the hilus and subiculum of the hippocampus (70,89,92) with normal aging. Some animal models show hilar neuron loss while others do not. Our data from the dog indicates that neuron loss occurs with age in the hilus of the hippocampus, similar to humans. Our results are limited to the left hemisphere of the brain. The age-related loss of neurons in the hilus is likely a result of increased cell death with age (42) possibly due to beta-amyloid deposition (34,84), oxidative damage (35), DNA damage (4) or cerebrovascular damage (79). A reduction in hippocampal neurogenesis with age is not likely to account for the loss of neurons observed in the present study since the hilus is not thought to be a neurogenic region in the dog (71). Aged rats also lose hilar neurons but this loss may not be apparent until after 22 months of age (7,11,67). In contrast, non-human primate models of aging have not found an equivalent loss of neurons with normal aging in the hippocampus (41,90).

The hilus contains a heterogeneous population of neurons that connect to the granule cell layer and other hippocampal fields (52). Hilar neurons are vulnerable to many different insults and events and loss is observed in several animal models after exposure to excitotoxins (6), ischaemia (98), stress (19), hypertension (57), and diabetes mellitus (9). The loss of hilar neurons can be ameliorated with treatments including growth hormone (7), fluoxetine (9), substance P receptor antagonist (19), and estradiol (6). Hilar neuron damage is also characteristic of temporal lobe epilepsy (20). Patients with temporal lobe epilepsy exhibit deficits in declarative memory and visuospatial task performance (1,27,28,38). Memory and learning deficits are frequently observed in animals with hilar neuron damage (98) but since the damage usually extends to regions outside of the hilus it is difficult to isolate the precise role of the hilus in learning and memory functions.

Neuron loss in the entorhinal cortex in normal human aging is not detectable when each complete layer of the entorhinal cortex is examined (93), but has been reported in studies where the counts are limited to the islands of layer II (37,69). Neuron loss in the entorhinal cortex is more commonly observed in cognitively impaired older people (43) and Alzheimer’s disease patients (58). Von Gunten et al. (88) reported that dementia in extreme aging (over 90 years of age) may involve damage to the hippocampal subdivisions with a relative sparing of the entorhinal cortex and CA1 fields. Studies in non-human primates (46) and rats (45) have not found a loss of entorhinal neurons with age in any layer but none have examined the islands specifically. The present study found no evidence for neuron loss in the entorhinal cortex or specifically layer II in the dog, which is consistent with normal aging in humans and with other animal models.

4.2 Reducing age-associated neuron loss in the hilus

We compared the effects of two interventions on neuron survival that were each hypothesized to lead to a preservation of neuron number with age in dogs. The first treatment involved behavioral enrichment, which in rodent studies leads to increased neurogenesis (40) and reduces neuron loss in experimental Parkinsonism (22). The second intervention was to provide animals with a food rich in a broad spectrum of antioxidants that may serve to maintain healthy function and reduce neuron death associated with aging. Based on studies in rats demonstrating that vitamin E regulates neurogenesis and supplementation reduces apoptotic cell death (12,15,18,23), we hypothesized that the combination of behavioral enrichment and an antioxidant fortified food may lead to higher neuron numbers than either treatment alone. The results of the current study suggest that the behavioral enrichment intervention, but not the antioxidant fortified food, selectively increased hilar neuron numbers in aged animals relative to age-matched controls. The treatment effect was relatively small however, and may be due to the age at which the intervention was initiated. It is possible that a larger treatment effect would occur had the animals started the intervention at a younger age or if the treatment duration was extended. Olson et al. (55) recently showed that environmental enrichment increases the likelihood of survival of new cells in the dentate gyrus. This suggests that the effect of behavioral enrichment in the canine hilus may be neuroprotective and acts by reducing cell death in the dog brain.

The antioxidant fortified food used in the current study did not modify neuron numbers in the canine hilus. Our previous work indicates that the antioxidant fortified food does, however, reduce beta-amyloid accumulation in the parietal cortex (60) possibly by increasing the activity of the alpha-secretase enzyme (59), which cleaves the amyloid precursor protein and prevents the production of beta-amyloid. The behaviorally enriched animals showed no evidence of reduced beta-amyloid. These data suggest that the behavioral enrichment and antioxidant fortified food may have unique or possibly independent neurobiological mechanisms for enhancing cognitive function (48,49,50, 51,73). Here we report a beneficial effect selective for behavioral enrichment on neuron number whereas our previous work suggested a reduction in beta-amyloid selectively occurs in the antioxidant treated animals (59,60).

4.3 Neuron loss and cognition

The hippocampus is involved in learning and memory processes that decline with age (21) and neuron loss is a potential morphological correlate of cognitive dysfunction. We have previously demonstrated age-related declines in the dog affecting several cognitive domains including memory, complex visuospatial learning and executive functions (36,47,81,82,83,85). We did not observe a significant relationship between errors on the spatial memory or discrimination learning tasks assessed during the treatment phase of the study and neuron number in the hilus. This is consistent with studies in aged rats where entorhinal cortex and hippocampal neuron numbers do not correlate with spatial learning and memory (11,45,62,63). This suggests that the reduction in hilar neuron loss does not account for the improved learning and memory in the treated aged dogs.

Although neuron loss may contribute to cognitive decline, other factors must be important since cognitive decline is detectable prior to overt neuron loss and few tasks correlate with measures of neuron number. Other events leading to neuronal dysfunction such as oxidative damage (35), DNA damage (4), the presence of extensive beta-amyloid pathology (34,84), or cerebrovascular changes (79) may be contributors to cognitive decline in aging dogs. Synapse loss may also contribute to cognitive decline (16) but this has not yet been examined in the dog.

5. Conclusions

The aged canine hippocampus is vulnerable to neuron loss in the hilus. Age-related losses of hilar neurons in the canine may be reduced by behavioral enrichment but do not appear to be significantly affected by antioxidant treatment. These results extend previous studies in rodents to a higher mammal with consistent results. Although both treatment conditions improved cognition in aged canines, the changes in neuronal function seem to be mediated through independent molecular pathways.

Acknowledgments

This research was supported by the National Institute on Aging (NIA AG12694, AG17066), and by the United States Army Medical Research and Material Command under Contract No. DAMD17-98-1-8622. The views, opinions, and/or findings contained in this report are those of the authors and should not be construed as an official Department of the Army position, policy, or decision unless so designated by other documentation. Additional support was provided by the Natural Sciences and Engineering Research Council of Canada as a postdoctoral fellowship to CTS and a Stereology Resource Center Fellowship Award to CTS.

Footnotes

Disclosure Statement

The authors have no conflicts of interest.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  • 1.Abrahams S, Morris RG, Polkey CE, Jarosz JM, Cox TC, Graves M, Pickering A. Hippocampal involvement in spatial and working memory: a structural MRI analysis of patients with unilateral mesial temporal lobe sclerosis. Brain Cogn. 1999;41:39–65. doi: 10.1006/brcg.1999.1095. [DOI] [PubMed] [Google Scholar]
  • 2.Adrianov OS, Mering TA. Translation of Atlas mozga sobaki: Moscow, 1959. Ann Arbor: University of Michigan; 1964. Atlas of the Canine Brain. [Google Scholar]
  • 3.Ames BN, Shigenaga MK, Hagen TM. Oxidants, antioxidants, and the degenerative diseases of aging. Proc Natl Acad Sci USA. 1993;90(17):7915–22. doi: 10.1073/pnas.90.17.7915. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Anderson AJ, Ruehl WW, Fleischmann LK, Stenstrom K, Entriken TL, Cummings BJ. DNA damage and apoptosis in the aged canine brain: relationship to Abeta deposition in the absence of neuritic pathology. Prog Neuropsychopharmacol Biol Psychiatry. 2000;24(5):787–99. doi: 10.1016/s0278-5846(00)00106-8. [DOI] [PubMed] [Google Scholar]
  • 5.AAFCO: American Association of Feed Control Officials. Commercial Feed Annual Report 1999.
  • 6.Azcoitia I, Sierra A, Garcia-Segura LM. Estradiol prevents kainic acid-induced neuronal loss in the rat dentate gyrus. Neuroreport. 1998;9(13):3075–9. doi: 10.1097/00001756-199809140-00029. [DOI] [PubMed] [Google Scholar]
  • 7.Azcoitia I, Perez-Martin M, Salazar V, Castillo C, Ariznavarreta C, Garcia-Segura LM, Tresguerres JA. Growth hormone prevents neuronal loss in the aged rat hippocampus. Neurobiol Aging. 2005;26(5):697–703. doi: 10.1016/j.neurobiolaging.2004.06.007. [DOI] [PubMed] [Google Scholar]
  • 8.Ball MJ, MacGregor J, Fyfe IM, Rapoport SI, London ED. Paucity of morphological changes in the brains of ageing beagle dogs: further evidence that Alzheimer lesions are unique for primate central nervous system. Neurobiol Aging. 1983;4:127–131. doi: 10.1016/0197-4580(83)90036-2. [DOI] [PubMed] [Google Scholar]
  • 9.Beauquis J, Roig P, Homo-Delarche F, De Nicola A, Saravia F. Reduced hippocampal neurogenesis and number of hilar neurons in streptozotocin-induced diabetic mice: reversion by antidepressant treatment. Eur J Neurosci. 2006;23:1539–46. doi: 10.1111/j.1460-9568.2006.04691.x. [DOI] [PubMed] [Google Scholar]
  • 10.Buckmaster PS, Smith MO, Buckmaster CL, LeCouteur RA, Dudek FE. Absence of temporal lobe epilepsy pathology in dogs with medically intractable epilepsy. J Vet Intern Med. 2002;16(1):95–9. doi: 10.1892/0891-6640(2002)016<0095:aotlep>2.3.co;2. [DOI] [PubMed] [Google Scholar]
  • 11.Cadiacio CL, Milner TA, Gallagher M, Pierce JP. Hilar neuropeptide Y interneuron loss in the aged rat hippocampal formation. Exper Neurol. 2003;183:147–58. doi: 10.1016/s0014-4886(03)00126-2. [DOI] [PubMed] [Google Scholar]
  • 12.Cecchini T, Ciaroni S, Ferri P, Ambrogini P, Cuppini R, Santi S, Del Grande P. Alpha-tocopherol, an exogenous factor of adult hippocampal neurogenesis regulation. J Neurosci Res. 2003;73(4):447–55. doi: 10.1002/jnr.10690. [DOI] [PubMed] [Google Scholar]
  • 13.Chan AD, Nippak PM, Murphey H, Ikeda-Douglas CJ, Muggenburg B, Head E, Cotman CW, Milgram NW. Visuospatial impairments in aged canines (Canis familiaris): the role of cognitive-behavioral flexibility. Behav Neurosci. 2002;116(3):443–54. [PubMed] [Google Scholar]
  • 14.Ciaroni S, Cecchini T, Ferri P, Cuppini R, Ambrogini P, Santi S, Benedetti S, Del Grande P, Papa S. Neural precursor proliferation and newborn cell survival in the adult rat dentate gyrus are affected by vitamin E deficiency. Neurosci Res. 2002;44(4):369–77. doi: 10.1016/s0168-0102(02)00157-8. [DOI] [PubMed] [Google Scholar]
  • 15.Ciaroni S, Cuppini R, Cecchini T, Ferri P, Ambrogini P, Cuppini C, Del Grande P. Neurogenesis in the adult rat dentate gyrus is enhanced by vitamin E deficiency. J Comp Neurol. 1999;411(3):495–502. [PubMed] [Google Scholar]
  • 16.Coleman P, Federoff H, Kurlan R. A focus on the synapse for neuroprotection in Alzheimer disease and other dementias. Neurology. 2004;63(7):1155–62. doi: 10.1212/01.wnl.0000140626.48118.0a. [DOI] [PubMed] [Google Scholar]
  • 17.Cummings BJ, Head E, Afagh AJ, Milgram NW, Cotman CW. Beta Amyloid accumulation correlates with cognitive dysfunction in the aged canine. Neurobiol Learn Mem. 1996;66:11–23. doi: 10.1006/nlme.1996.0039. [DOI] [PubMed] [Google Scholar]
  • 18.Cuppini R, Ciaroni S, Cecchini T, Ambrogini P, Ferri P, Cuppini C, Ninfali P, Del Grande P. Tocopherols enhance neurogenesis in dentate gyrus of adult rats. Int J Vitam Nutr Res. 2002;72(3):170–6. doi: 10.1024/0300-9831.72.3.170. [DOI] [PubMed] [Google Scholar]
  • 19.Czeh B, Simon M, van der Hart MGC, Schmelting B, Hesselink MB, Fuchs E. Chronic stress decreases the number of parvalbumin-immunoreactive interneurons in the hippocampus: prevention by treatment with a substance P receptor (NK1) antagonist. Neuropsychopharm. 2005;30:67–79. doi: 10.1038/sj.npp.1300581. [DOI] [PubMed] [Google Scholar]
  • 20.DaSilva AV, Houzel JC, Yacubian EMT, Carrete H, Jr, Sakamoto AC, Priel MR, Martins HH, Oliveira I, Garzon E, Stavale JN, Centeno RS, Machada H, Cavalheiro EA. Dysmorphic neurons in patients with temporal lobe epilepsy. Brain Res. 2006;1072:200–207. doi: 10.1016/j.brainres.2005.10.088. [DOI] [PubMed] [Google Scholar]
  • 21.Driscoll I, Sutherland RJ. The aging hippocampus: navigating between rat and human experiments. Rev Neurosci. 2005;16(2):87–121. doi: 10.1515/revneuro.2005.16.2.87. [DOI] [PubMed] [Google Scholar]
  • 22.Faherty CJ, Raviie Shepherd K, Herasimtschuk A, Smeyne RJ. Environmental enrichment in adulthood eliminates neuronal death in experimental Parkinsonism. Brain Res Mol Brain Res. 2005;134(1):170–9. doi: 10.1016/j.molbrainres.2004.08.008. [DOI] [PubMed] [Google Scholar]
  • 23.Ferri P, Cecchini T, Ciaroni S, Ambrogini P, Cuppini R, Santi S, Benedetti S, Pagliarani S, Del Grande P, Papa S. Vitamin E affects cell death in adult rat dentate gyrus. J Neurocytol. 2003;32(9):1155–64. doi: 10.1023/B:NEUR.0000021909.84327.e8. [DOI] [PubMed] [Google Scholar]
  • 24.Fox MW. Integrative development of brain and behavior in the dog. Chicago: The University of Chicago Press; 1971. [Google Scholar]
  • 25.Gazzaley AH, Thakker MM, Hof PR, Morrison JH. Preserved number of entorhinal cortex layer II neurons in aged macaque monkeys. Neurobiol Aging. 1997;18(5):549–53. doi: 10.1016/s0197-4580(97)00112-7. [DOI] [PubMed] [Google Scholar]
  • 26.Gittins R, Harrison PJ. Neuronal density, size and shape in the human anterior cingulate cortex: a comparison of Nissl and NeuN staining. Brain Res Bull. 2004;63(2):155–60. doi: 10.1016/j.brainresbull.2004.02.005. [DOI] [PubMed] [Google Scholar]
  • 27.Gleissner U, Helmstaedter C, Elger CE. Right hippocampal contribution to visual memory: a presurgical and postsurgical study in patients with temporal lobe epilepsy. J Neurol Neurosurg Psychiatry. 1998;65:665–9. doi: 10.1136/jnnp.65.5.665. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Guerreiro CA, Jones-Gotman M, Andermann F, Bastos A, Cendes F. Severe amnesia in epilepsy: causes, anatomopsychological considerations and treatment. Epilepsy Behav. 2001;2:224–46. doi: 10.1006/ebeh.2001.0167. [DOI] [PubMed] [Google Scholar]
  • 29.Gundersen HJG, Jensen EB, Kieu K, Nielsen J. The efficiency of systematic sampling in stereology-reconsidered. J Microsc. 1999;193(Pt3):199–211. doi: 10.1046/j.1365-2818.1999.00457.x. [DOI] [PubMed] [Google Scholar]
  • 30.Harding AJ, Halliday GM, Kril JJ. Variation in hippocampal neuron number with age and brain volume. Cereb Cortex. 1998;8(8):710–8. doi: 10.1093/cercor/8.8.710. [DOI] [PubMed] [Google Scholar]
  • 31.Harman D. Role of free radicals in aging and disease. Ann N Y Acad Sci. 1992;673:126–41. doi: 10.1111/j.1749-6632.1992.tb27444.x. [DOI] [PubMed] [Google Scholar]
  • 32.Hatton WJ, von Bartheld CS. Analysis of cell death in the trochlear nucleus of the chick embryo: calibration of the optical disector counting method reveals systematic bias. J Comp Neurol. 1999;409:169–86. [PubMed] [Google Scholar]
  • 33.Head E, Callahan H, Cummings BJ, Cotman CW, Ruehl WW, Muggenburg BA, Milgram NW. Open field activity and human interaction as a function of age and breed in dogs. Physiol Behav. 1997;62(5):963–971. doi: 10.1016/s0031-9384(97)00198-4. [DOI] [PubMed] [Google Scholar]
  • 34.Head E, Callahan H, Muggenburg BA, Cotman CW, Milgram NW. Visual-discrimination learning ability and beta-amyloid accumulation in the dog. Neurobiol Aging. 1998;19(5):415–25. doi: 10.1016/s0197-4580(98)00084-0. [DOI] [PubMed] [Google Scholar]
  • 35.Head E, Liu J, Hagen TM, Muggenburg BA, Milgram NW, Ames BN, Cotman CW. Oxidative damage increases with age in a canine model of human brain aging. J Neurochem. 2002;82(2):375–381. doi: 10.1046/j.1471-4159.2002.00969.x. [DOI] [PubMed] [Google Scholar]
  • 36.Head E, Mehta R, Hartley J, Kameka M, Cummings BJ, Cotman CW, Ruehl WW, Milgram NW. Spatial learning and memory as a function of age in the dog. Behav Neurosci. 1995;109(5):851–8. doi: 10.1037//0735-7044.109.5.851. [DOI] [PubMed] [Google Scholar]
  • 37.Heinsen H, Henn R, Eisenmenger W, Gotz M, Bohl J, Bethke B, Lockemann U, Puschel K. Quantitative investigations on the human entorhinal area: left-right asymmetry and age-related changes. Anat Embryol (Berl) 1994;190(2):181–94. doi: 10.1007/BF00193414. [DOI] [PubMed] [Google Scholar]
  • 38.Hermann BP, Seidenberg M, Schoenfeld J, Davies K. Neuropsychological characteristics of the syndrome of mesial temporal lobe epilepsy. Arch Neurol. 1997;54:369–76. doi: 10.1001/archneur.1997.00550160019010. [DOI] [PubMed] [Google Scholar]
  • 39.Hof PR, Rosenthal RE, Fiskum Distribution of neurofilament protein and calcium-binding proteins parvalbumin, calbindin, and calretinin in the canine hippocampus. J Chem Neuroanat. 1996;11:1–12. doi: 10.1016/0891-0618(96)00117-2. [DOI] [PubMed] [Google Scholar]
  • 40.Kempermann G, Kuhn HG, Gage FH. More hippocampal neurons in adult mice living in an enriched environment. Nature. 1997;386(6624):493–5. doi: 10.1038/386493a0. [DOI] [PubMed] [Google Scholar]
  • 41.Keuker JI, Luiten PG, Fuchs E. Preservation of hippocampal neuron numbers in aged rhesus monkeys. Neurobiol Aging. 2003;24(1):157–65. doi: 10.1016/s0197-4580(02)00062-3. [DOI] [PubMed] [Google Scholar]
  • 42.Kiatipattanasakul W, Nakamura S, Hossain MM, Nakayama H, Uchino T, Shumiya S, Goto N, Doi K. Apoptosis in the aged dog brain. Acta Neuropathol (Berl) 1996;92(3):242–8. doi: 10.1007/s004010050514. [DOI] [PubMed] [Google Scholar]
  • 43.Kordower JH, Chu Y, Stebbins GT, DeKosky ST, Cochran EJ, Bennett D, Mufson EJ. Loss and atrophy of layer II entorhinal cortex neurons in elderly people with mild cognitive impairment. Ann Neurol. 2001;49(2):202–13. [PubMed] [Google Scholar]
  • 44.Lister JP, Blatt GJ, DeBassio WA, Kemper TL, Tonkiss J, Galler JR, Rosene DL. Effect of prenatal protein malnutrition on numbers of neurons in the principal cell layers of the adult rat hippocampal formation. Hippocampus. 2005;15:393–403. doi: 10.1002/hipo.20065. [DOI] [PubMed] [Google Scholar]
  • 45.Merrill DA, Chiba AA, Tuszynski MH. Conservation of neuronal number and size in the entorhinal cortex of behaviorally characterized aged rats. J Comp Neurol. 2001;438(4):445–56. doi: 10.1002/cne.1327. [DOI] [PubMed] [Google Scholar]
  • 46.Merrill DA, Roberts JA, Tuszynski MH. Conservation of neuron number and size in entorhinal cortex layers II, III, and V/VI of aged primates. J Comp Neurol. 2000;422(3):396–401. doi: 10.1002/1096-9861(20000703)422:3<396::aid-cne6>3.0.co;2-r. [DOI] [PubMed] [Google Scholar]
  • 47.Milgram NW, Adams B, Callahan H, Head E, Mackay B, Thirlwell C, Cotman CW. Landmark discrimination learning in the dog. Learn Mem. 1999;6(1):54–61. [PMC free article] [PubMed] [Google Scholar]
  • 48.Milgram NW, Head E, Muggenburg B, Holowachuk D, Murphey H, Estrada J, Ikeda-Douglas CJ, Zicker SC, Cotman CW. Landmark discrimination learning in the dog: effects of age, an antioxidant fortified food, and cognitive strategy. Neurosci Biobehav Rev. 2002a;26(6):679–695. doi: 10.1016/s0149-7634(02)00039-8. [DOI] [PubMed] [Google Scholar]
  • 49.Milgram NW, Head E, Zicker SC, Ikeda-Douglas CJ, Murphey H, Muggenburg B, Siwak C, Tapp D, Cotman CW. Learning ability in aged beagle dogs is preserved by behavioral enrichment and dietary fortification: a two-year longitudinal study. Neurobiol Aging. 2005;26(1):77–90. doi: 10.1016/j.neurobiolaging.2004.02.014. [DOI] [PubMed] [Google Scholar]
  • 50.Milgram NW, Head E, Zicker SC, Ikeda-Douglas C, Murphey H, Muggenburg BA, Siwak CT, Tapp PD, Lowry SR, Cotman CW. Long-term treatment with antioxidants and a program of behavioral enrichment reduces age-dependent impairment in discrimination and reversal learning in beagle dogs. Exp Gerontol. 2004;39(5):753–765. doi: 10.1016/j.exger.2004.01.007. [DOI] [PubMed] [Google Scholar]
  • 51.Milgram NW, Zicker SC, Head E, Muggenburg BA, Murphey H, Ikeda-Douglas CJ, Cotman CW. Dietary enrichment counteracts age-associated cognitive dysfunction in canines. Neurobiol Aging. 2002b;23(5):737–745. doi: 10.1016/s0197-4580(02)00020-9. [DOI] [PubMed] [Google Scholar]
  • 52.Mody I, Otis TS, Bragin A, Hsu M, Buzsaki G. Gabaergic inhibition of granule cells and hilar neuronal synchrony following ischemia-induced hilar neuron loss. Neurosci. 1995;69(1):139–50. doi: 10.1016/0306-4522(95)00190-t. [DOI] [PubMed] [Google Scholar]
  • 53.Morys J, Narkiewicz O, Maciejewska B, Wegiel J, Wisniewski HM. Amyloid deposits and loss of neurons in the claustrum of the aged dog. Neuroreport. 1994;5:1825–1828. doi: 10.1097/00001756-199409080-00035. [DOI] [PubMed] [Google Scholar]
  • 54.Ngwenya LB, Peters A, Rosene DL. Light and electron microscopic immunohistochemical detection of bromodeoxyuridine-labeled cells in the brain: different fixation and processing protocols. J Histochem Cytochem. 2005;53(7):821–832. doi: 10.1369/jhc.4A6605.2005. [DOI] [PubMed] [Google Scholar]
  • 55.Olson AK, Eadie BD, Ernst C, Christie BR. Environmental enrichment and voluntary exercise massively increase neurogenesis in the adult hippocampus via dissociable pathways. Hippocampus. 2006;16(3):250–60. doi: 10.1002/hipo.20157. [DOI] [PubMed] [Google Scholar]
  • 56.Papaioannou N, Tooten PC, van Ederen AM, Bohl JR, Rofina J, Tsangaris T, Gruys E. Immunohistochemical investigation of the brain of aged dogs. I. Detection of neurofibrillary tangles and of 4-hydroxynonenal protein, an oxidative damage product, in senile plaques. Amyloid. 2001;8(1):11–21. doi: 10.3109/13506120108993810. [DOI] [PubMed] [Google Scholar]
  • 57.Pietranera L, Saravia F, Gonzalez Deniselle MC, Roig P, Lima A, De Nicola AF. Abnormalities of the hippocampus are similar in deoxycorticosterone acetate-salt hypertensive rats and spontaneously hypertensive rats. J Neuroendocrin. 2006;18:466–474. doi: 10.1111/j.1365-2826.2006.01436.x. [DOI] [PubMed] [Google Scholar]
  • 58.Price JL, Ko AI, Wade MJ, Tsou SK, McKeel DW, Morris JC. Neuron number in the entorhinal cortex and CA1 in preclinical Alzheimer disease. Arch Neurol. 2001;58(9):1395–402. doi: 10.1001/archneur.58.9.1395. [DOI] [PubMed] [Google Scholar]
  • 59.Pop V, Head E, Muggenburg BA, Milgram NW, Cotman CW. Program No. 662.8. 2005 Abstract Viewer/Itinerary Planner. Washington, DC: Society for Neuroscience; Secretase activity (α,β,γ) as a function of age, antioxidant dietm and/or behavioral enrichment in canine parietal cortex. [Google Scholar]
  • 60.Pop V, Head E, Nistor M, Milgram NW, Muggenburg BA, Cotman CW. Program No. 525.4. 2003 Abstract Viewer/Itinerary Planner. Washington, DC: Society for Neuroscience; Reduced a deposition with long-term antioxidant diet treatment in aged canines. [Google Scholar]
  • 61.Pugliese M, Carrasco JL, Geloso MC, Mascort J, Michetti F, Mahy N. Gamma-aminobutyric acidergic interneuron vulnerability to aging in canine prefrontal cortex. J Neurosci Res. 2004;77(6):913–920. doi: 10.1002/jnr.20223. [DOI] [PubMed] [Google Scholar]
  • 62.Rapp PR, Gallagher M. Preserved neuron number in the hippocampus of aged rats with spatial learning deficits. Proc Natl Acad USA. 1996;93(18):9926–30. doi: 10.1073/pnas.93.18.9926. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Rasmussen T, Schliemann T, Sorensen JC, Zimmer J, West MJ. Memory impaired aged rats: no loss of principal hippocampal and subicular neurons. Neurobiol Aging. 1996;17(1):143–7. doi: 10.1016/0197-4580(95)02032-2. [DOI] [PubMed] [Google Scholar]
  • 64.Rofina JE, Singh K, Skoumalova-Vesela A, van Ederen AM, van Asten AJ, Wilhelm J, Gruys E. Histochemical accumulation of oxidative damage products is associated with Alzheimer-like pathology in the canine. Amyloid. 2004;11(2):90–100. doi: 10.1080/13506120412331285779. [DOI] [PubMed] [Google Scholar]
  • 65.Rosenthal RE, Silbergleit R, Hof PR, Haywood Y, Fiskum G. Hyperbaric oxygen reduces neuronal death and improves neurological outcome after canine cardiac arrest. Stroke. 2003;34:1311–16. doi: 10.1161/01.STR.0000066868.95807.91. [DOI] [PubMed] [Google Scholar]
  • 66.Russell MJ, Bobik M, White RG, Hou Y, Benjamin SA, Geddes JW. Age-specific onset of beta-amyloid in beagle brains. Neurobiol Aging. 1996;17(2):269–73. doi: 10.1016/0197-4580(95)02072-1. [DOI] [PubMed] [Google Scholar]
  • 67.Shetty AK, Turner DA. Vulnerability of the dentate gyrus to aging and intracerebroventricular administration of kainic acid. Exp Neurol. 1999;158(2):491–503. doi: 10.1006/exnr.1999.7107. [DOI] [PubMed] [Google Scholar]
  • 68.Shigenaga MK, Hagen TM, Ames BN. Oxidative damage and mitochondrial decay in aging. Proc Natl Acad Sci USA. 1994;91(23):10771–8. doi: 10.1073/pnas.91.23.10771. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Simic G, Bexheti S, Kelovic Z, Kos M, Grbic K, Hof PR, Kostovic I. Hemispheric asymmetry, modular variability and age-related changes in the human entorhinal cortex. Neuroscience. 2005;130:911–925. doi: 10.1016/j.neuroscience.2004.09.040. [DOI] [PubMed] [Google Scholar]
  • 70.Simic G, Kostovic I, Winblad B, Bogdanovic N. Volume and number of neurons of the human hippocampal formation in normal aging and Alzheimer’s disease. J Comp Neurol. 1997;379(4):482–94. doi: 10.1002/(sici)1096-9861(19970324)379:4<482::aid-cne2>3.0.co;2-z. [DOI] [PubMed] [Google Scholar]
  • 71.Siwak CT, Head E, Muggenburg BA, Milgram NW, Cotman CW. Program No. in press. 2006 Abstract Viewer/Itinerary Planner. Washington, DC: Society for Neuroscience; Neurogenesis Decreases with Age in the Dog and Correlates with Cognitive Function. [Google Scholar]
  • 72.Siwak CT, Murphey HL, Muggenburg BA, Milgram NW. Age-dependent decline in locomotor activity in dogs is environment specific. Physiol Behav. 2002;75(1–2):65–70. doi: 10.1016/s0031-9384(01)00632-1. [DOI] [PubMed] [Google Scholar]
  • 73.Siwak CT, Tapp PD, Head E, Zicker SC, Murphey HL, Muggenburg BA, Ikeda-Douglas CJ, Cotman CW, Milgram NW. Chronic antioxidant and mitochondrial cofactor administration improves discrimination learning in aged but not young dogs. Prog Neuropsychopharmacol Biol Psychiatry. 2005;29(3):461–469. doi: 10.1016/j.pnpbp.2004.12.011. [DOI] [PubMed] [Google Scholar]
  • 74.Siwak CT, Tapp PD, Milgram NW. Effect of age and level of cognitive function on spontaneous and exploratory behaviors in the beagle dog. Learn Mem. 2001;8(6):317–25. doi: 10.1101/lm.41701. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Siwak CT, Tapp PD, Zicker SC, Murphey HL, Muggenburg BA, Head E, Cotman CW, Milgram NW. Locomotor activity rhythms in dogs vary with age and cognitive status. Behav Neurosci. 2003;117(4):813–24. doi: 10.1037/0735-7044.117.4.813. [DOI] [PubMed] [Google Scholar]
  • 76.Skoumalova A, Rofina J, Schwippelova Z, Gruys E, Wilhelm J. The role of free radicals in canine counterpart of senile dementia of the Alzheimer type. Exp Gerontol. 2003;38(6):711–9. doi: 10.1016/s0531-5565(03)00071-8. [DOI] [PubMed] [Google Scholar]
  • 77.Su MY, Head E, Brooks WM, Wang Z, Muggenburg BA, Adam GE, Sutherland R, Cotman CW, Nalcioglu O. Magnetic resonance imaging of anatomic and vascular characteristics in a canine model of human aging. Neurobiol Aging. 1998;19(5):479–485. doi: 10.1016/s0197-4580(98)00081-5. [DOI] [PubMed] [Google Scholar]
  • 78.Su MY, Tapp PD, Vu L, Chen YF, Chu Y, Muggenburg B, Chiou JY, Chen C, Wang J, Bracco C, Head E. A longitudinal study of brain morphometrics using serial magnetic resonance imaging analysis in a canine model of aging. Prog Neuropsychopharmacol Biol Psychiatry. 2005;29(3):389–97. doi: 10.1016/j.pnpbp.2004.12.005. [DOI] [PubMed] [Google Scholar]
  • 79.Tapp PD, Chu Y, Araujo JA, Chiou JY, Head E, Milgram NW, Su MY. Effects of scopolamine challenge on regional cerebral blood volume. A pharmacological model to validate the use of contrast enhanced magnetic resonance imaging to assess cerebral blood volume in a canine model of aging. Prog Neuropsychopharmacol Biol Psychiatry. 2005;29(3):399–406. doi: 10.1016/j.pnpbp.2004.12.006. [DOI] [PubMed] [Google Scholar]
  • 80.Tapp PD, Head K, Head E, Milgram NW, Muggenburg BA, Su M-Y. Application of an automated voxel-based morphometry technique to assess regional gray and white matter brain atrophy in a canine model of aging. Neuroimage. 2006;29(1):234–44. doi: 10.1016/j.neuroimage.2005.07.043. [DOI] [PubMed] [Google Scholar]
  • 81.Tapp PD, Siwak CT. The canine model of human brain aging: cognition, behavior, and neuropathology. In: Conn PM, editor. Handbook of Models for Human Aging. Amsterdam: Elsevier; 2006. pp. 415–434. [Google Scholar]
  • 82.Tapp PD, Siwak CT, Estrada J, Head E, Muggenburg BA, Cotman CW, Milgram NW. Size and reversal learning in the beagle dog as a measure of executive function and inhibitory control in aging. Learn Mem. 2003a;10(1):64–73. doi: 10.1101/lm.54403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Tapp PD, Siwak CT, Estrada J, Holowachuk D, Milgram NW. Effects of age on measures of complex working memory span in the beagle dog (Canis familiaris) using two versions of a spatial list learning paradigm. Learn Mem. 2003b;10(2):148–60. doi: 10.1101/lm.56503. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Tapp PD, Siwak CT, Gao FQ, Chiou JY, Black SE, Head E, Muggenburg BA, Cotman CW, Milgram NW, Su MY. Frontal lobe volume, function, and beta-amyloid pathology in a canine model of aging. J Neurosci. 2004a;24(38):8205–13. doi: 10.1523/JNEUROSCI.1339-04.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Tapp PD, Siwak CT, Head E, Cotman CW, Murphey H, Muggenburg BA, Ikeda-Douglas C, Milgram NW. Concept abstraction in the aging dog: development of a protocol using successive discrimination and size concept tasks. Behav Brain Res. 2004b;153(1):199–210. doi: 10.1016/j.bbr.2003.12.003. [DOI] [PubMed] [Google Scholar]
  • 86.Varty GB, Paulus MP, Braff DL, Geyer MA. Environmental enrichment and isolation rearing in the rat: effects on locomotor behavior and startle response plasticity. Biol Psychiatry. 2000;47(10):864–73. doi: 10.1016/s0006-3223(99)00269-3. [DOI] [PubMed] [Google Scholar]
  • 87.Vereczki V, Martin E, Rosentahl RE, Hof PR, Hoffman GE, Fiskum G. Normoxic resuscitation after cardiac arrest protects against hippocampal oxidative stress, metabolic dysfunction, and neuronal death. J Cereb Blood Flow Metab. 2006;26:821–35. doi: 10.1038/sj.jcbfm.9600234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.von Gunten A, Kovari E, Bussiere T, Rivara CB, Gold G, Bouras C, Hof PR, Giannakopoulos P. Cognitive impact of neuronal pathology in the entorhinal cortex and CA1 field in Alzheimer’s disease. Neurobiol Aging. 2006;27(2):270–7. doi: 10.1016/j.neurobiolaging.2005.02.008. [DOI] [PubMed] [Google Scholar]
  • 89.West MJ. Regionally specific loss of neurons in the aging human hippocampus. Neurobiol Aging. 1993;14(4):287–93. doi: 10.1016/0197-4580(93)90113-p. [DOI] [PubMed] [Google Scholar]
  • 90.West MJ, Amaral DG, Rapp PR. Preserved hippocampal cell number in aged monkeys with recognition deficits. Soc Neurosci Abstr. 1993;19:559. [Google Scholar]
  • 91.West MJ, Gundersen HJ. Unbiased stereological estimation of the number of neurons in the human hippocampus. J Comp Neurol. 1990;296(1):1–22. doi: 10.1002/cne.902960102. [DOI] [PubMed] [Google Scholar]
  • 92.West MJ, Kawas CH, Martin LJ, Troncoso JC. The CA1 region of the human hippocampus is a hot spot in Alzheimer’s disease. Ann N Y Acad Sci. 2000;908:255–9. doi: 10.1111/j.1749-6632.2000.tb06652.x. [DOI] [PubMed] [Google Scholar]
  • 93.West MJ, Slomianka L. Total number of neurons in the layers of the human entorhinal cortex. Hippocampus. 1998;8(1):69–82. doi: 10.1002/(SICI)1098-1063(1998)8:1<69::AID-HIPO7>3.0.CO;2-2. [DOI] [PubMed] [Google Scholar]
  • 94.West MJ, Slomianka L, Gundersen HJ. Unbiased stereological estimation of the total number of neurons in the subdivisions of the rat hippocampus using the optical fractionator. Anat Rec. 1991;231(4):482–97. doi: 10.1002/ar.1092310411. [DOI] [PubMed] [Google Scholar]
  • 95.Wisniewski H, Johnson AB, Raine CS, Kay WJ, Terry RD. Senile plaques and cerebral amyloidosis in aged dogs. A histochemical and ultrastructural study. Lab Invest. 1970;23(3):287–96. [PubMed] [Google Scholar]
  • 96.Woznicka A, Kosmal A. Cytoarchitecture of the canine perirhinal and postrhinal cortex. Acta Neurobiol Exp (Wars) 2003;63(3):197–209. doi: 10.55782/ane-2003-1467. [DOI] [PubMed] [Google Scholar]
  • 97.Woznicka A, Malinowska M, Kosmal A. Cytoarchitectonic organization of the entorhinal cortex of the canine brain. Brain Res Reviews. 2006 doi: 10.1016/j.brainresrev.2006.04.008. in press. [DOI] [PubMed] [Google Scholar]
  • 98.Zola-Morgan S, Squire LR, Rempel NL, Clower RP, Amaral DG. Enduring memory impairment in monkeys after ischemic damage to the hippocampus. J Neurosci. 1992;12(7):2582–96. doi: 10.1523/JNEUROSCI.12-07-02582.1992. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES