Neuropsychopharmacology (2006) 31, 925–932
& 2006 Nature Publishing Group All rights reserved 0893-133X/06 $30.00
www.neuropsychopharmacology.org
Anxiety and Hippocampus Volume in the Rat
Raffael Kalisch*,1,3, Mirjam Schubert1,3, Wolfgang Jacob2, Melanie S Keler2, Rosa Hemauer1,
Alexandra Wigger2, Rainer Landgraf2 and Dorothee P Auer1
1
NMR Study Group, Max-Planck-Institute of Psychiatry, Munich, Germany; 2Behavioral Neuroendocrinology, Max-Planck-Institute of Psychiatry,
Munich, Germany
In depressed patients as well as healthy controls, a positive relationship between hippocampal volume and trait anxiety has been
reported. This study sought to explore the possible inter-relation between hippocampal volume and trait anxiety further. Magnetic
resonance imaging at 7 T was used to measure hippocampal volumes in a rat model of extremes in trait anxiety (experiment 1) and in a
Wistar population with normal anxiety-related behavior (experiment 2). In addition to anxiety-related behavior, potentially confounding
factors (depression-like, exploratory, and locomotor behavior) were assessed. Experiment 1 globally supported the hypothesis of a
positive relationship between hippocampus volume and trait anxiety but did not allow for ruling out possible confounds arising from
cosegregation of other behavioral traits. Experiment 2 yielded strong evidence for a negative relationship which was specific for trait
anxiety. Thus, the relationship between hippocampal volume and anxiety may be more complex than expected. Interestingly, anxietyrelated behavior in experiment 2 had a stronger influence on hippocampal volume than depression-like behavior. In the light of
hippocampal volume loss in anxiety disorder and frequent comorbidity of anxiety and depression, this finding suggests that further
research into the relationship between anxiety and hippocampal volume may be critical for understanding hippocampal contributions to
normal and pathological behavior.
Neuropsychopharmacology (2006) 31, 925–932. doi:10.1038/sj.npp.1300910; published online 28 September 2005
Keywords: hippocampus; anxiety; HAB; magnetic resonance imaging; volumetry; rat
INTRODUCTION
Hippocampal volume is reduced in patients with longstanding depression (Campbell et al, 2004; Videbech and
Ravnkilde, 2004) and severe, unremitting post-traumatic
stress disorder (PTSD; Bremner et al, 1995, 1997; Gilbertson
et al, 2002; Gurvits et al, 1996; Lindauer et al, 2004; Stein
et al, 1997; Villarreal et al, 2002).
The mechanisms underlying these volume reductions are
largely unclear. Animal models have played an important
role in developing the two major theories in the field,
namely that stress-related hypercortisolemia causes hippocampal atrophy (McEwen, 2000) and that hippocampal
volume is heritable and a cause of, rather than a result of,
increased stress susceptibility (Lyons et al, 2001).
Since ethical reasons naturally limit the possibility for
mechanistic investigation in humans, animal models will
continue to be of critical importance. Another factor
*Correspondence: Dr R Kalisch, Functional Imaging Laboratory (FIL),
Wellcome Department of Imaging Neuroscience, University College
London, 12 Queen Square, London WC1N 3BG, UK, Tel: + 44 207
833 7479, Fax: + 44 207 813 1420, E-mail: rkalisch@fil.ion.ucl.ac.uk
3
Both these authors have contributed equally to this work.
Received 20 December 2004; revised 5 July 2005; accepted 24 August
2005
Online publication: 31 August 2005 at http://www.acnp.org/citations/
Npp083105040599/default.pdf
limiting research in human models is that psychiatric
diagnoses (American Psychiatric Association, 2000) are, at
present, purely symptom-based. A diagnosis like depression, for example, may actually encompass several diseases
with similar symptoms but different underlying pathogenetic mechanisms.
To account for such heterogeneity, several researchers
have included additional trait factors such as anxiety,
intelligence, alcoholism, or illness-related factors such as
illness duration, age of onset, or trauma exposure in their
studies. In a number of cases, such trait factors indeed had a
significant influence on hippocampal volume (eg, De Bellis
et al, 2002; Fennema-Notestine et al, 2002; Gurvits et al,
1996; Lindauer et al, 2004; MacQueen et al, 2003; Rusch
et al, 2001; Villarreal et al, 2002). While this approach
cannot provide mechanistic information, it can ‘refine’ a
diagnosis with the help of theoretically and operationally
better defined entities. As a consequence, it can help clarify
which aspects of the depression or PTSD syndrome groups
are associated with changes in hippocampal volume and
thus generate detailed hypotheses for mechanistic investigation in animal models.
An especially interesting finding resulting from this
strategy was reported by Rusch et al (2001). The authors
showed that trait anxiety is positively related to hippocampal volume in both depressed patients and normal
controls. At first sight, the result is surprising because (i)
Anxiety and hippocampus volume in the rat
R Kalisch et al
926
anxiety and depression are highly comorbid, (ii) PTSD,
which is one of the major anxiety disorders, is characterized
by volume loss (see above), and (iii) disorders of the anxiety
spectrum are, similar to depressive disorder, often associated with stress hormone axis hyperfunction (Rasmusson
et al, 2003). Thus, intuitively, one would expect anxiety to
be linked with hippocampal volume reduction rather than
enlargement.
On the other hand, one of the major neuroanatomical
theories of anxiety (Gray and McNaughton, 2000) claims a
crucial role for the hippocampal formation in anxiety
behavior. Thus, enlarged hippocampal volume in anxious
individuals could reflect increased use, similar to the
observed increase in navigation-related areas in taxi drivers
(Maguire et al, 2000) and speech-related areas in bilingual
subjects (Mechelli et al, 2004).
The observation made by Rusch et al (2001) of larger
right-sided hippocampi in anxious subjects can be held to
further support the Gray/McNaughton theory and therefore
warrants replication. Furthermore, given the wealth of
molecular data now available on anxiety in rats and
mice, independent confirmation in a rodent model would
open up new avenues to investigate the molecular mechanisms underlying altered hippocampal morphology and
function, reaching beyond the ‘classical’ hypercortisolemia
theory.
To clarify the relationship between trait anxiety and
hippocampal volume, we here explicitly tested the hypothesis of a positive relationship between hippocampal
volume and trait anxiety in two experiments. In the first
experiment, we used a well-characterized rat model wherein
genetic selection for anxiety-related behavior on the
elevated plus maze has resulted in extreme anxiety
phenotypes, called the high (HAB) and low anxiety-related
behavior (LAB) lines (Landgraf and Wigger, 2002, 2003).
The extreme behavioral divergence should increase the
probability of finding hippocampal volume differences if
hippocampal volume indeed depends on anxiety. Furthermore, first cellular (Salome et al, 2004) and molecular
(Murgatroyd et al, 2004) data from this rat model are now
emerging. In the second experiment, we used a Wistar
population which was not specifically bred for anxietyrelated behavior and thus exhibited normal anxiety (here
called ‘NABs’).
Importantly, as we expected potential confounding effects
resulting from cosegregated depression-like behavior,
which can be expected to reduce hippocampal volume
(see above), and possibly from exploratory behavior (Crusio
et al, 1989), all animals underwent behavioral testing for
these traits. The tests also allowed us to assess locomotor
activity.
MATERIALS AND METHODS
Animals
Eight male HAB (mean age 10670 (SEM) days), eight
male LAB (mean age 10870.49 days), and 16 male NAB
rats (purchased from C. River, Germany, mean weight
351711 g) were used. Animals were kept in standard
cages in groups of up to five in a conventional animal
facility (12:12 h light/dark cycle with lights on at 06:00 h,
Neuropsychopharmacology
221C, 60% humidity) with free access to food (Altromin
1314) and water.
All procedures described below were approved by local
authorities according to national and regional governmental
rules.
Elevated Plus Maze
The elevated plus maze (EPM; Pellow et al, 1985) is based
on the animal’s conflict between the innate fear of open
elevated places and the drive to explore new areas. The
degree of avoidance of the open arms of the maze is
considered a measure of the genetic predisposition, that is,
trait anxiety, and is predictive of behavior in other tests of
anxiety (Henderson et al, 2004; Trullas and Skolnick, 1993).
The EPM was made of dark gray PVC and consisted of
a plus-shaped platform elevated 73 cm from the floor. Two
of the opposing arms (50 10 cm2) were enclosed by 38 cm
high side and end walls (closed arms). The four arms were
connected by a central platform (10 10 cm2).
At the beginning of each 5-min trial, the rat was placed on
the central platform facing a closed arm. The apparatus was
cleaned before and after each test session with water
containing a detergent.
Behavior was monitored via a video camera fixed above
the EPM. The time spent on both types of arms, the number
of entries into both types of arms and the latency to the first
entry into any of the open arms were determined by a
trained observer blind to treatment using a computer
program (PLUSMAZE, Scheidemann, Germany). From this,
the following scores were computed: %EOA: percent entries
into open arm (inversely related to anxiety); %TOA: percent
time spent on open arm (inversely related to anxiety);
LATOA: latency to first entry into open arm (positively
related to anxiety); and NECA: number of entries into
closed arms (a measure of locomotor activity).
Forced Swim Test
The forced swim test (Porsolt et al, 1978) is based on the
observation that rats, when forced to swim in a cylinder from
which they cannot escape, will after some time adopt a
characteristic immobile posture (floating). Floating is reduced
by antidepressant drugs but not sensitive to anxiolytics.
In our adapted version of the forced swim test (Keck et al,
2003), the cylinder (height 60 cm, diameter 40 cm, Plexiglass) was filled with 191C tap water to a height of 50 cm.
After the swim session, the rat was dried with a towel and
placed back into the home cage. The rat’s behavior during
the 10-min trial was recorded and the following parameters
were scored by a trained observer blind to treatment using
a computer program (Eventlog 1.0, Henderson, Germany):
TSTR: time spent struggling (inversely related to depression); TFLO: time spent floating (positively related to
depression); LATFLO: latency to float (inversely related to
depression).
Open Field Test
The open field test (Hall, 1934) is normally used to assess
emotionality based on the same conflict situation as in the
EPM. When the test duration is extended to 30 min,
Anxiety and hippocampus volume in the rat
R Kalisch et al
927
habituation to the emotionally challenging situation occurs
and the test then measures locomotor and exploratory
activity (Crusio et al, 1989).
The open field (54 48 cm2, walls 51 cm high, wood,
300 lux illumination) was divided into an inner
(28 33 cm2) and an outer area by a line on the floor.
Animals were placed in the center of the field and observed
for 30 min. Between trials, the chamber was cleaned with 5%
alcohol. The following parameters were obtained for each of
three consecutive 10-min-intervals: NREAR1, NREAR2,
NREAR3: number of rearings during first, second, and
third intervals (a measure of exploration); NCROSS1,
NCROSS2, NCROSS3: number of line crossings from inner
into outer area or vice versa during first first, second, and
third intervals (a measure of locomotion). A rat was
considered to have entered the inner or outer area when
two feet had gone past the dividing line.
All behavioral measures (Table 1) were in accordance
with previous literature (Landgraf and Neumann, 2004;
Landgraf and Wigger, 2002, 2003; Wigger et al, 2004).
Volumetry
Hippocampal volumetry was performed using noninvasive
magnetic resonance imaging (MRI) because this allowed
us to also measure the response of hippocampal volume
to (subsequent) pharmacologic intervention in a withinsubject design. Results of the longitudinal study will be
reported elsewhere.
Animals were treated as previously described (Kalisch
et al, 2001). Briefly, animals were mechanically ventilated
under 1.6% isoflurane and placed in a custom-made head
holder with an integrated receive-only surface head coil
specially designed for rat brain (M Neumeier, Boehringer
Ingelheim, Germany). Body temperature (38.070.51C) and
expiratory CO2 (35–40 mmHg) were kept constant throughout the experiment.
Scans were performed on a Bruker 7 T Avance Biospec
70/30 magnet (Bruker, Germany). A rapid-acquisition relaxation-enhancement (RARE) sequence was used for structural
imaging (TR ¼ 4000 ms, TE ¼ 19.4 ms, TEeff ¼ 43.8 ms, echo
train length: 4, number of averages: 6, number of slices: 30,
slice orientation: axial, slice thickness: 0.75 mm, inter-slice
gap: 0.1 mm, field of view: 3.5 3.5 cm2, matrix: 512 384,
resulting in a spatial resolution of 0.068 0.068 0.75 mm3,
scan duration: 39 min 19 s; see Figure 1). For reproducible
anatomical location of the slice package, a series of localizer
scans was used to define three mutually orthogonal planes
(transversal, horizontal, sagittal). The slice package was
then positioned perpendicular to a line connecting the
superior end of the olfactory bulb and the superior end
of the cerebellum according to Wolf et al (2002), with the
first slice located at the most anterior point of the olfactory
bulb. This resulted in whole brain coverage (ie, including
olfactory bulb and cerebellum).
Using the manufacturer’s ROITool software, right (RHV)
and left hippocampal (LHV) and brain volumes (BV) were
manually outlined by two raters (RK, MS) blinded to group
status. Hippocampal tissue borders were defined according
to Wolf et al (2002) and using a standard rat brain atlas
(Paxinos and Watson, 1998) for reference (Figure 1). Thus,
Figure 1 Volumetry. Example of a volumetric scan and delineated left
hippocampus. Numbers show approximate distance from bregma in mm.
the most anterior hippocampal slice included corresponded
to a level of approximately 2.12 mm posterior to bregma;
the most posterior hippocampal slice included corresponded to a level of approximately 7.04 posterior to
bregma. Hippocampal structures were identified on seven to
eight consecutive slices in the individual animals.
For determination of BV, the most anterior brain slice
included was the first slice in which prefrontal cortex
covered X50% of the brain tissue, and therefore included
caudal parts of the olfactory bulb. This corresponded to a
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Anxiety and hippocampus volume in the rat
R Kalisch et al
928
level of approximately 4.20 mm anterior to bregma. The
most posterior brain slice included was the last slice
anterior to the cerebellum and usually covered the central
nucleus of inferior colliculus and the caudal end of the
aqueduct. This corresponded to a level of approximately
8.8 mm posterior to bregma. The entire included brain
tissue was distributed over 14–16 consecutive slices in the
individual animals.
Volumes were calculated by multiplying the outlined area
in each slice by the inter-slice interval (0.75 mm slice +
0.1 mm gap ¼ 0.85 mm). For the last slice, the multiplicator
was 0.75 mm. Left-sided hippocampal dominance (ASY)
was defined as: (LHVRHV/LHV + RHV)100 with LHV
being the left hippocampal volume and RHV the right
hippocampal volume.
All volumetric data represent average ratings from the
two raters. In experiment 1, one animal’s BV could only be
determined by rater 1 due to a technical problem. Interrater correlations (Spearman) were r ¼ 0.75 for RHV,
r ¼ 0.85 for LHV, r ¼ 0.75 for total hippocampal volume
(THV), and r ¼ 1.0 for BV in experiment 1 and r ¼ 0.64
(RHV), r ¼ 0.71 (LHV), r ¼ 0.64 (THV), and r ¼ 0.97 (BV) in
experiment 2.
Statistical Analysis
Statistical analysis was carried out within SPSS11 using
bivariate correlations, Student’s t-test, multivariate analysis
of variance (MANOVA) or covariance (MANCOVA), and
multiple regression analysis. Since THV is linearly dependent on LHV and RHV, separate univariate analyses of
variance (ANOVA) or covariance (ANCOVA) were used to
test for group differences in this variable.
Table 1 Experiment 1: Physiological, Volumetric and Behavioral
Measures in HAB and LAB Rats
Behavioral
category
Measure
HAB
(n ¼ 8)
LAB
(n ¼ 8)
HAB vs
LAB (p)
326713
35674
0.049*
Physiological measures
BW (g)
Volumetric measures
BV (mm3)
1286.12720.65 1300.84711.0 0.539
RHV (mm3)
50.8570.67
47.8970.65 0.007*
LHV (mm )
50.0870.78
47.5870.57 0.021*
THV (mm3)
101.7171.40
95.4771.17 0.004*
RHV/BV (%)
3.9670.03
3.6870.03 0.000*
LHV/BV (%)
3.8970.02
3.6670.02 0.000*
3
THV/BV (%)
7.9170.07
ASY
0.7870.22
7.3470.05 0.000*
0.3170.34 0.266
Behavioral measures
Elevated plus maze
%EOA (%) Anxiety (inv.)
7.374.8
44.974.5
0.000*
%TOA (%) Anxiety (inv.)
0.570.4
39.373.9
0.000*
270.1722.5
30.078.9
0.000*
3.070.7
7.671.0
0.000*
LATOA (s) Anxiety
NECA
Locomotion
Forced swim test
TSTR (s)
Depression (inv.)
17.572.8
55.077.4
0.000*
TFLO (s)
Depression
78.5719.8
35.475.2
0.054
LATFLO (s) Depression
49.774.1
102.0719.0 0.017*
Open field test
RESULTS
Tables 1 and 2 show physiological, volumetric and
behavioral measures of HAB, LAB and NAB rats.
Experiment 1: HAB and LAB Rats
Hippocampal volume. The group data suggest that HABs
have larger hippocampal volumes than LABs (Table 1). To
formally test for group differences in volumetric measures
and for the potential influence of body weight (BW)
differences (see Table 1), a MANCOVA with RHV and
LHV and BV as dependent variables, group as independent
variable and BW as covariate was calculated. There were
significant effects of group (F(3,11) ¼ 17.71, po0.001) and
BW (F(3,11) ¼ 11.03, p ¼ 0.001). The group effects adjusted
for BW were significant for RHV (F(1,13) ¼ 25.72, po0.001,
univariate F test) and LHV (F(1,13) ¼ 40.79, po0.001) but
not for BV (F(1,13) ¼ 2.46, p ¼ 0.141). An ANCOVA with
THV as dependent variable, group as independent variable,
and BW as covariate also showed significant effects of
group (F(1,13) ¼ 30.29, po0.001) and BW (F(1,13) ¼ 10.82,
p ¼ 0.006). The apparent hippocampal volumetric group
differences thus survived correction for BW.
A MANCOVA with normalized right (RHV/BV) and left
(LHV/BV) hippocampal volumes as dependent variables,
Neuropsychopharmacology
NREAR1
Exploration
31.373.3
41.673.3
0.042*
NREAR2
Exploration
10.973.0
27.073.3
0.003*
NREAR3
Exploration
4.571.4
20.072.2
0.000*
4.870.7
13.471.4
0.000*
NCROSS1 Locomotion
NCROSS2 Locomotion
1.570.5
9.571.6
0.000*
NCROSS3 Locomotion
0.870.4
6.071.9
0.017*
*difference HAB vs LAB significant at po0.05 (t-test, two-tailed).
inv.: inversely related; BV: brain volume; RHV: right hippocampal volume; LHV:
left hippocampal volume; THV: total hippocampal volume; ASY: left-sided
hipppocampal dominance; %EOA: percent entries into open arm; %TOA:
percent time spent on open arm; LATOA: latency to enter into open arm;
NECA: number of entries into closed arms; TSTR: time spent struggling; TFLO:
time spent floating; LATFLO: latency to float; NEAR1: number of rearings during
minutes 1–10; NREAR2: number of rearings during minutes 11–20; NREAR3:
number of rearings during minutes 21–30; NCROSS1: number of line crossings
during minutes 1–10; NCROSS2: number of line crossings during minutes
11–20; NCROSS3: number of line crossings during minutes 21–30.
group as independent variable, and BW as covariate showed
a significant effect of group (F(2,12) ¼ 21.17, po0.001) but
not of BW (F(2,12) ¼ 2.14, p ¼ 0.16). The group effects
adjusted for BW were significant for both RHV/BV
(F(1,13) ¼ 25.81, po0.001) and LHV/BV (F(1,13) ¼ 45.78,
po0.001). An ANCOVA with THV/BV as dependent variable,
group as independent variable, and BW as covariate likewise
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Table 2 Experiment 2: Physiological, Volumetric and Behavioral
Measures in NAB Rats
Measure
Behavioral category
60
LAB
HAB
50
NAB (n ¼ 16)
40
BW (g)
351711
Volumetric measures
BV (mm3)
1338.27711.82
RHV (mm3)
%TOA
Physiological measures
30
20
49.8370.58
LHV (mm3)
49.4270.71
THV (mm3)
99.2571.28
RHV/BV (%)
3.7270.03
LHV/BV (%)
3.6970.04
THV/BV (%)
7.4270.06
ASY
0.4470.25
Behavioral measures
Elevated plus maze
%EOA (%)
Anxiety (inv.)
25.773.6
%TOA (%)
Anxiety (inv.)
18.873.7
LATOA (s)
Anxiety
91.4727.5
NECA
Locomotion
9.670.9
Forced swim test
TSTR (s)
Depression (inv.)
TFLO (s)
Depression
40.974.7
36.475.8
LATFLO (s)
Depression
111.2713.1
Open field test
NREAR1
Exploration
53.273.56
NREAR2
Exploration
23.272.5
10.871.7
NREAR3
Exploration
NCROSS1
Locomotion
1171.2
NCROSS2
Locomotion
5.571.5
NCROSS3
Locomotion
3.370.8
showed a significant effect of group (F(1,13) ¼ 27.10,
po0.001) but not of BW (F(1,13) ¼ 0.68, p ¼ 0.425). That is,
normalized hippocampal volumes, like un-normalized volumes, showed group differences that survived correction for
BW. The results suggest that normalization for BV inherently
corrects for influences of BW. Therefore, only normalized
volumes are used in the following.
Behavior. To assess group effects on behavioral measures,
the behavioral measures showing the strongest t-test group
difference in each behavioral category (see Table 1) were
used as dependent variables (%TOA for anxiety, TSTR for
depression, NCROSS1 for locomotion and NREAR3 for
exploration). A MANCOVA with group as independent
variable and BW as covariate showed a significant effect of
group (F(4,10) ¼ 21.77, po0.001) but not of BW
(F(4,10) ¼ 0.15, p ¼ 0.061). Adjusted group effects were
significant for all four behavioral measures (pp0.005 each).
10
0
7.0
7.2
7.4
7.6
7.8
8.0
8.2
Total hippocampal volume [%BV]
8.4
Figure 2 Experiment 1 (HAB and LAB rats). The percent of time spent
on the open arms of an elevated plus maze (%TOA), an inverse measure of
anxiety, is negatively correlated to normalized total hippocampal volume
(as percent of brain volume (BV)) across HAB and LAB rats. r ¼ 0.80,
po0.001. Note the strongly dichotomous distribution of %TOA between
the groups, accompanied by an apparent absence of within-group
correlations.
Relation between hippocampal volume and behavior. The
confirmed observation of larger hippocampal volumes in
the hyperanxious HAB rats suggests a positive relationship
between trait anxiety and hippocampal volume. Indeed,
%TOA, which is an inverse measure of anxiety, was
significantly negatively correlated with RHV/BV (Pearson’s
r ¼ 0.77, po0.001), LHV/BV (r ¼ 0.86, po0.001) and
THV/BV (r ¼ 0.80, po0.001; Figure 2). Taken together,
the data from HAB and LAB rats globally support our
hypothesis.
A potential caveat becomes apparent when inspecting
Figure 2, which indicates that the strong correlations
observed may simply reflect a dichotomous distribution
of %TOA between the two groups. This leaves open the
possibility that other physiological or behavioral group
differences with a similar dichotomous distribution (such
as depression-like, exploratory, or locomotor behavior,
see Table 1) may account for the observed volumetric
differences. Accordingly, we also observed significant
negative relationships between TSTR, NCROSS1, and
NREAR3 and each of the three volumetric measures above
(not shown). The argument of potential nonspecificity
was further strengthened by an absence of within-group
correlations between anxiety and hippocampal volume in
both HABs (pX0.67) and LABs (pX0.53). Within-group
analysis, however, was hampered by limited sample size
(n ¼ 8 per group), the small spread of %TOA within each
group, and a possible floor effect in HABs (see Figure 2),
precluding firm conclusions. Ultimately, experiment 1
therefore did not allow us to reject our hypothesis but did
not yield unequivocal support either.
Experiment 2: NAB Rats
The ambiguous results from experiment 1 prompted us to
investigate trait–volume relationships in a normal rat
population that does not present problems of cosegregation
of behavioral traits.
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Anxiety and hippocampus volume in the rat
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930
Table 3 Relationship between Behavior and Hippocampal
Volume in NAB Rats
50
%TOA
NAB
40
Dependent variables
30
Independent variables
%TOA
TSTR
20
NREAR3
10
0
6.8
7
7.2
7.4
7.6
7.8
Total hippocampal volume [%BV]
8
Figure 3 Experiment 2 (NAB rats). The percent of time spent on the
open arms of an elevated plus maze (%TOA), an inverse measure of
anxiety, is positively correlated to normalized left hippocampal volume (as
percent of brain volume (BV)) in NAB rats. r ¼ 0.67, p ¼ 0.005. This
indicates that anxiety is negatively, rather than positively, correlated to (left)
hippocampal volume.
Hippocampal volume. In NAB rats, BW was significantly
correlated with BV (r ¼ 0.52, p ¼ 0.039) but not with RHV,
LHV, or THV. When normalizing hippocampal volumes to
BV, correlations with BW approached zero.
Relation between hippocampal volume and behavior.
Unlike in experiment 1, correlations of %TOA (inversely
related to anxiety) with normalized hippocampal volumes
were positive (RHV/BV: r ¼ 0.58, p ¼ 0.018; LHV/BV:
r ¼ 0.70, p ¼ 0.002; THV/BV: r ¼ 0.67, p ¼ 0.005; Figure 3).
We note that p-values for the LHV/BV and THV/BV
correlations survive Bonferroni correction for multiple
comparisons (threshold: p ¼ 0.0167). Bonferroni correction
is overconservative in this context because the different
hippocampal volume measures are highly significantly
correlated to each other (not shown) and thus not
independent. This underlines the strength of the observed
effect. Further corroborating a negative relationship between
anxiety and hippocampal volumes in NAB rats, we found
similar but smaller positive correlations between %EOA,
which is also inversely related to anxiety, and hippocampal
volumes (po0.05 for LHV/BV and THV/BV) and negative
but nonsignificant correlations between LATOA (positively
related to anxiety) and hippocampal volumes (not shown).
Thus, experiment 2 using rats with normal anxiety
behavior found strong support for a negative relationship
between trait anxiety and hippocampal volume.
Multiple Regression Analysis
Simple regression analysis does not take into account the
possible influence of other behavioral variables shown
earlier to differ between HAB and LAB rats (in particular
TSTR, NCROSS1, NREAR3). We therefore attempted to
calculate a multiple regression of %TOA and the other three
behavioral variables on hippocampal volume across all
three animal groups (total n ¼ 32). However, the four
regressors were all significantly correlated with each other.
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RHV/BV
Beta
p
0.565 0.030
LHV/BV
Beta
p
0.653 0.005
THV/BV
Beta
p
0.633 0.009
0.266 0.256 0.336 0.093 0.315 0.135
0.136 0.557
0.062 0.747
0.097 0.634
Three separate multiple regression analyses of group and behavioral variables on
whole-brain normalized hippocampal volumes were performed.
RHV: right; LHV: left; THV: total hippocampal volume; BV: brain volume; %TOA:
percent time spent on open arm (inversely related to anxiety); TSTR: time spent
struggling (a measure of depression-like behavior); NEAR3: number of rearings
during minutes 21–30 (a measure of exploratory behavior).
The same applied when looking at HAB and LAB rats only,
in line with coselection of traits within this anxiety model.
By contrast, there was no collinearity between the four
regressors within the NAB group (pX0.365), with the
exception of a trend-level collinearity (p ¼ 0.061) between
NCROSS1 and NREAR3. We therefore restricted multiple
regression analysis to NAB rats.
To retain statistical power given a reduced sample size of
n ¼ 16 and because we found no evidence for a role of
locomotion in the volumetric literature, only %TOA, TSTR,
and NREAR3 were used as regressors. Three separate
multiple regression analyses investigated their influence on
RHV/BV, LHV/BV, and THV/BV, respectively.
The analyses explained 43, 61, and 56% of the total
variance, respectively, indicating a linear combination
of the behavioral variables only partly accounted for
volumetric variability. A significant positive relationship
between %TOA (inversely related to anxiety) and hippocampal volume was observed in all three analyses while
none of the other independent variables were significantly
related to hippocampal volume (Table 3). Thus, multiple
regression analysis in NAB rats yielded additional evidence
for a negative relationship between trait anxiety and left
hippocampal volume that cannot be explained by the
influence of other behavioral traits.
DISCUSSION
The presented data do not unequivocally support the
hypothesis, based on findings by Rusch et al (2001) in
humans, that hippocampal volume is positively correlated
to trait anxiety in the rat. While, as predicted, the
hyperanxious HAB rats had larger hippocampal volumes
than the hypoanxious LAB rats (experiment 1) and showed
a positive relationship between hippocampal volume and
anxiety, we were unable to rule out possible effects from
other cosegregated behavioral traits. Contrary to our
predictions, the experiment in NAB rats provided strong
evidence for a negative relationship between anxiety and
hippocampal volume (experiment 2).
Given the potential confound of cosegregated biological
differences between HAB and LAB rats such as depression,
locomotion, or exploration, the functional significance of
larger hippocampi in HAB rats cannot be inferred from our
Anxiety and hippocampus volume in the rat
R Kalisch et al
931
data. By contrast, the evidence provided for a reduction
of hippocampal volumes with increasing anxiety-related
behaviour in normal Wistar rats is robust as other factors
can be assumed to be randomly distributed. Therefore, the
safest assumption currently seems that, at least in normal
rats, hippocampal volume and trait anxiety are inversely
related. This interpretation is in line with the observed
hippocampal volume reductions in animal models of
hypercortisolemia and in PTSD patients cited earlier. The
interpretation is, however, in conflict with the suggestion by
Rusch et al (2001) of a positive relationship in humans,
including healthy volunteers.
We note that Rusch et al’s (2001) study was different to
ours not only in terms of the subject population but also in
a number of methodological aspects. Most importantly, our
experimental design used objectively quantifiable behavioral measures that should have reduced variability
compared to human studies where trait anxiety is measured
using subjective verbal report. Moreover, subjective report
can be strongly biased by a tendency to give socially
desirable responses (Weinberger, 1990). This can lead to
physiologically highly reactive subjects scoring low on trait
anxiety (the so-called ‘repressors’). It would be interesting
to test whether repressor-type behavior can account for
variability in morphometric measures.
It is also possible that the relationship between hippocampal volume and trait anxiety is more complicated than
anticipated. It cannot be excluded that the behavioral
indices employed in this study and the subjective reports in
humans do not measure the same psychological construct.
In particular, anxiety may be more multifaceted in humans
than in rats, as is apparent from the proposed distinction
between somatic and psychological anxiety (Beck et al,
1988). Clearly, further volumetric studies in humans
assessing a broad range of symptoms and behaviors related
to anxiety are warranted to reconcile the current findings.
In addition, we want to highlight that the volumetric
differences between HAB and LAB rats are likely to have
a strong hereditary component. This can be indirectly
concluded from the genetic determination of behavioral
differences, demonstrated by cross-fostering and crossbreeding experiments (Wigger et al, 2001).
In agreement with Rusch et al (2001), we found that
anxiety had a stronger influence on hippocampal volume
than depression-like behavior (experiment 2). This again
highlights the potentially important role that anxiety plays
in determining hippocampal volume. In the light of
hippocampal volume loss in anxiety disorder (PTSD) and
frequent anxiety comorbidity in depression, these data call
for a closer investigation of the link between trait anxiety
and hippocampal morphology.
In conclusion, we believe that further experiments in
animals and humans explicitly testing the hypothesis of a
negative relationship between hippocampal volume and
anxiety and investigating underlying genetic/molecular
causes are warranted.
ACKNOWLEDGEMENTS
We thank A Yassouridis for help with statistics and Marina
Zimbelmann for help with experiments. AW was supported
by a grant from Deutsche Forschungsgemeinschaft (DFG).
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