Abstract
1
While the experience of stress is ubiquitous, the risk of developing stress-linked 2
conditions such as anxiety and depression is related to maladaptive stress responses. 3
In order to probe the relationship between stress coping, sex, and stress-linked 4
behavioral outcomes, we exposed male and female mice to subchronic variable stress 5
(SCVS) and measured the correlation between coping during the tail suspension 6
stressors (TSS) of SCVS and avoidance behavior in the EPM. We found that females 7
engage in more active coping, and there were no sex differences in avoidance or 8
locomotor behavior in the EPM after stress. However, we found that greater active 9
coping predicted greater avoidance in females, but less avoidance in males. The results 10
demonstrate that coping strategies are dynamic across time in males and females, but 11
the relationships between avoidance and coping strategy dynamics are sex-biased. 12
13
Keywords
Stress, sex differences, coping, avoidance 14
15
Plain English Summary 16
The selection of stress coping strategies is an important component of the stress 17
response that can impact behavior after stress. Stress coping strategies and behavior 18
after stress can both be sex-biased, but the relationships between them are unclear. 19
SCVS is a paradigm that is used to study sex differences in behavior and physiology 20
because females are specifically vulnerable to SCVS. We recorded behavior during two 21
stressors in the SCVS paradigm and found opposite relationships between coping 22
behavior and avoidance behavior after stress in males and females, even though males 23
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
3
and females exhibit similar dynamics in coping behavior and similar avoidance behavior 24
after stress. These results demonstrate that sex is an important variable in the 25
relationship between coping strategies during stress and behavior after stress. 26
Introduction
27
All living organisms experience stress, broadly defined as challenges to physical 28
or emotional homeostasis. Stress often carries a colloquially negative connotation, but it 29
is ubiquitous and necessary for learning and adaptation [1, 2]. However, stress can 30
precipitate maladaptive outcomes when it surpasses the adaptive capacities of an 31
organism due to the chronicity, intensity, or perception of the stress. In humans, chronic 32
stress exposure can increase the risk of developing multiple psychiatric disorders 33
including depression, anxiety, and substance use-related conditions. Across organisms, 34
stress initiates a cascade of physiological mechanisms and behavioral responses. 35
Among these responses are behavioral strategies known as stress coping, which permit 36
the removal, mitigation, and adaptation to a stressor such that the stress response may 37
be primed for more efficient responses in the future [3-5]. Stress coping strategies vary 38
between conspecifics and across contexts, and some stress coping choices promote 39
adaptation while others may be acutely or chronically maladaptive. The appraisal of 40
stress and selection of coping strategy is influenced by a range of intrinsic factors 41
including genetics, early life environment, and circulating hormones, which interact with 42
real time stimuli and shared stress response mechanisms [2, 3]. Consequently, whether 43
or not stress coping strategies are adaptive depends on a dynamic interplay of 44
numerous factors including the intensity, frequency, and environmental context of the 45
stressor, as well as the animal’s physical abilities and limitations [6-8]. For this reason, 46
the investigation of stress coping strategies can aid the understanding of factors that 47
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
4
drive individual differences in vulnerability and resilience for developing stress-linked 48
conditions. 49
Epidemiological and preclinical data consistently demonstrate that sex and 50
gender are key contributing factors in vulnerability for developing stress-linked 51
conditions. The global prevalence of depression and anxiety-related conditions in 52
women is two to three times greater than the prevalence in men, which likely results 53
from a convergence of genetic, developmental, neurobiological, psychosocial, and 54
cultural factors [9-12]. Latent cognitive processes, social support seeking, and anger-55
related traits are examples of gender-biased coping strategies that can directly 56
contribute to the risk of experiencing new or recurrent depressive episodes [13, 14]. 57
Sex-specific stress coping responses and vulnerability have also been observed 58
in model organisms. Female rats exhibit greater corticosterone release and greater 59
struggling behavior over multiple restraint stress sessions [15] and female mice are 60
more susceptible to chronic mild stress as measured by greater immobility in the forced 61
swim test and reduced population activity in the ventral tegmental area (VTA) after 62
stress [16]. However, in conditioned fear contexts, females adopt the sex-biased 63
strategy of darting, and darting females show reduced freezing during fear extinction 64
[17]. These studies suggest that while females can engage in coping behavior during 65
inescapable stressors that reflects reduced habituation to stress and impaired 66
adaptation in stress pathways, they can also adopt specific behavioral strategies that 67
promote adaptation. Thus, the role of behavioral strategies in adaptive responses is 68
both sex and context-dependent. 69
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
5
The role of sex in stress-related neurobiological mechanisms and behavioral 70
outcomes of stress has received increasing attention in recent years [18-22]. Paradigms 71
that can model convergent and divergent sex-dependent mechanisms across 72
behavioral and physiological endpoints are critical in advancing the understanding of 73
links between stress, sex, physiology, and maladaptive behavioral outcomes. The 74
subchronic variable stress (SCVS) paradigm models such divergence. This paradigm 75
Results
in a range of sex-biased behavioral outcomes such as increased avoidance and 76
anhedonia as well as physiological changes, including higher corticosterone release 77
and changes in neuronal activity and gene expression across reward and limbic circuitry 78
[23-30]. SCVS therefore reliably alters post-stress outcomes and physiology in a sex-79
dependent fashion, making it a robust platform for investigating whether sex-dependent 80
coping strategies can lead to sexually divergent behavioral outcomes. 81
Tail suspension stress (TSS) is one of the three hour-long inescapable stressors 82
employed during the SCVS paradigm. The tail suspension test (TST) was initially 83
developed as a counterpart to the forced swim test (FST) that increased sensitivity for 84
detecting anti-depressant effects of pharmacological treatments [31]. In its 6-minute 85
form, greater immobility in the TST is typically seen as maladaptive- indicative of 86
behavioral despair or overly passive responses. However, over a prolonged stressor, 87
immobility is likely to be dynamic as animals respond to the repeated experience of 88
unsuccessful escape attempts and balance the high energy cost of sustained struggling 89
against the drive to escape. Given the female-specific vulnerability to SCVS, we 90
hypothesized that females and males would display distinct patterns of coping during 91
the TSS phases of stress, and that this behavior may predict post-stress behavioral 92
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
6
avoidance. To test this hypothesis, we recorded stress coping behaviors during the TSS 93
sessions of SCVS and measured their relationship with exploratory behavior in the EPM 94
to examine relationships between sex, stress coping, and avoidance. 95
Methods
96
Animals 97
All experiments were conducted in accordance with National Institutes of Health 98
Guidelines for the Care and Use of Laboratory Animals and approved by the 99
Institutional Animal Care and Use Committee at The George Washington University. 100
Male and female C57BL/6J mice were purchased from the Jackson Laboratory 101
(#000664) or bred in-house. Mice were housed in groups of 3-5 in a temperature and 102
humidity-controlled facility with ad libitum access to food and water on a 12:12 light/dark 103
cycle for the duration of the experiment. 104
Subchronic variable stress 105
SCVS was performed as previously described [26, 29]. Briefly, 8 to 11-week-old male 106
and female mice were exposed to one hour of foot shock, tail suspension, or restraint 107
stress which alternated and repeated once over 6 days. On the first and fourth days, 108
100 0.5 mA foot shocks were randomly dispersed over one hour in a sound attenuated 109
Coulbourn box. On the second and fifth days, mice were suspended by the tail with tape 110
approximately 45 centimeters over the benchtop for 1 hour and behavior was video 111
recorded at 30 fps. A lightweight tube was passed over the tail of the mouse to reduce 112
tail climbing. On the third and sixth days, mice were placed in a ventilated 50 mL conical 113
tube inside of their home cages for 1 hour. Males and females did not make physical 114
contact with one another during stress or behavior. 115
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
7
TSS behavioral analysis 116
DBScorer, a MATLAB-based behavioral scoring software interface [32], was used to 117
analyze struggling behavior in the TSS sessions. DBScorer reports immobility and 118
struggling behaviors by calculating the change in the area occupied by the animal 119
above a specified threshold between video frames. When the change in area does not 120
exceed threshold, the animal is counted as immobile. Videos were analyzed in 10-121
minute bins across each tail suspension stressor, excluding the first 60 seconds of the 122
first 10 minutes of stress. Each video was analyzed with blur image 0.1, 0.8% area 123
threshold, 0s time threshold, and 60s time bin. Immobility behavior is reported in the text 124
as the percent of time spent immobile between 0 and 100, where 0 is sustained 125
struggling and 100 is full immobility. We also report immobility bouts, which is the 126
number of times that the animal stopped struggling. 127
Elevated Plus Maze 128
Mice were acclimated to the testing room for 30 minutes before testing. Mice were 129
placed in the center zone of a gray maze with their head facing the open arm opposite 130
the experimenter and allowed to freely explore the maze for 6 minutes. The center zone 131
was illuminated at 116 Lux. Opposing arms were 5.5 cm x 35 cm, raised 48 cm from the 132
floor. Walls of closed arms were 15 cm high. Animals that fell off of the maze (n = 1 133
male, 1 female) were immediately placed back on the maze to complete testing but 134
were excluded from analysis. Behavior was video recorded and analyzed with Any-135
maze software. 136
Statistical analysis 137
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
8
Data is reported as mean ± SEM. Statistical analyses were performed with GraphPad 138
Prism 10.6.1. Outliers were not removed from the data set, the only excluded animals 139
were those that fell off the EPM. For datasets that did not meet assumptions of normal 140
distribution, non-parametric statistical tests were used. Statistical test and sample size 141
details are indicated in each figure legend. Statistical significance level was set at p < 142
0.05 for all analyses. 143
Results
144
Females engage in more active coping during tail suspension stress 145
We first investigated whether males and females exhibited similar patterns of 146
stress coping during the tail suspension sessions of SCVS. Average immobility scores 147
were lower in females than males (main effect of sex, F1, 56 = 7.00, p = 0.011; Figure 148
1A), and higher during the second tail suspension session (main effect of session, F1, 56 149
= 32.78, p < 0.0001), but there was no significant sex x session interaction (F1, 56 = 3.76, 150
p = 0.057). We also assessed the number of immobility bouts (Figure 1B), and found a 151
significant main effect of sex (F1, 56 = 6.15, p = 0.016), but no significant effect of 152
session (F1, 56 = 3.01, p = 0.088) or sex x session interaction (F1, 56 = 3.86, p = 0.055). 153
This data suggests that during both TSS sessions, females are making more transitions 154
between coping states, but are spending less time immobile between struggling bouts. 155
The tail suspension test, a classic test of stress coping strategy and 156
antidepressant responses, is traditionally 6-10 minutes in duration [31, 33]. In order to 157
test whether we would have detected sex differences in coping behavior in this duration 158
of test, we compared immobility scores and bouts during the first 10 minutes of the first 159
TSS session. We found no significant sex difference in immobility score (U = 392.5, p = 160
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
9
0.67; Figure 1C), but did find that there were more immobility bouts in females (U = 279, 161
p = 0.028; Figure 1D). These results further suggest that sex differences emerge in 162
immobility behavior over the one-hour tail suspension sessions and would not be 163
detectable by measuring the immobility score in the first 10 minutes of stress alone. 164
While average immobility scores and total immobility bouts illustrate activity over 165
the entire stressor, they do not demonstrate behavioral changes during prolonged 166
stress, an important measure of learning and adaptation. For this reason, we examined 167
the change in immobility scores and immobility bouts within 10-minute bins over the 168
duration of both tail suspension sessions (Figure 2A-D). There was a significant main 169
effect of time on the immobility score during the first TSS session (F2.94, 164.8 = 46.34, p < 170
0.0001; Figure 2A) but no main effect of sex (F1, 56 = 2.46, p = 0.12) or sex x time 171
interaction (F2.94, 164.8 = 0.14, p = 0.94). Immobility scores increased during each 10-172
minute bin after the first 10 minutes (Figure 2A). There was also a significant main effect 173
of time on immobility bouts during the first TSS session (F3.45, 193.0 = 16.36, p < 0.0001; 174
Figure 2B), but no main effect of sex (F1, 56 = 2.33, p = 0.13) or sex x time interaction 175
(F3.45, 193.0 = 2.01, p = 0.10). The number of immobility bouts decreased over time, 176
suggesting that animals made fewer transitions between coping states and spent most 177
of their time immobile. During the second TSS session, there was a main effect of sex 178
on immobility score (F1, 56 = 11.13, p = 0.0015; Figure 2C), but not time (F3.85, 215.5 = 179
1.56, p = 0.19) or sex x time interaction (F3.85, 215.5 = 0.27, p = 0.89), with females 180
spending less time immobile than males for the duration of the stressor. However, there 181
was a significant main effect of both sex (F1, 56 = 7.46, p = 0.0084; Figure 2D) and time 182
(F2.69, 150.7 = 4.66, p = 0.0053) on the number of immobility bouts in TSS2, but no 183
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
10
significant sex x time interaction (F2.69, 150.7 = 0.072, p = 0.97). Further analysis 184
demonstrated that the session day significantly contributed to the magnitude of 185
immobility score change (F1, 56 = 74.78, p < 0.0001; Figure 2E) and immobility bout 186
change (F1, 56 = 40.51, p < 0.0001; Figure 2F) within animals. However, changes in 187
immobility score and immobility bouts over time did not differ by sex (immobility score: 188
F1, 56 = 0.25, p = 0.62, immobility bouts: F1, 56 = 1.09, p = 0.30) or a sex x session 189
interaction (immobility score: F1, 56 = 0.0038, p = 0.95, immobility bouts: F1, 56 = 1.92, p = 190
0.17). These results suggest that changes over time in immobility behavior occur 191
predominantly over the first exposure to TSS and are similar in males and females, 192
therefore the sex differences in average immobility scores and bouts in the second TSS 193
session result from sustained coping strategies selected at the beginning of stress, not 194
the rate of adaptation to stress. 195
Coping behavior during stress predicts avoidance 196
Given the known roles of sex in risk appraisal, risk taking, and emotional 197
reactivity [34, 35], we sought to determine whether the sex-dependent coping behaviors 198
discovered in the TSS sessions would be associated with post-stress behavior in the 199
EPM. We first assessed whether there were sex differences in exploratory behaviors in 200
the EPM. We found no sex differences in total distance traveled (t38 = 0.79, p = 0.43; 201
Figure 3A), open arm entries (t38 = 0.50, p = 0.62; Figure 3B), open arm time (t38 = 1.45, 202
p = 0.15; Figure 3C), or open arm ratio (t38 = 1.63, p = 0.11; Figure 3D). 203
One possible contributor to variability within males and females in avoidance 204
behaviors after stress may be sex differences in the appraisal of and responses to 205
stress that directly contribute to the appraisal of threatening contexts after stress. In 206
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
11
order to test relationships between coping behavior and avoidance, we performed 207
simple linear regressions on average immobility scores and open arm ratios. In males, 208
higher immobility scores during the first TSS session predicted less open arm time, or 209
greater avoidance (Figure 4A; R2 = 0.29, p = 0.014). In the second TSS session, males’ 210
immobility scores and open arm ratios showed a similar relationship but did not reach 211
significance (Figure 4C; R2 = 0.14, p = 0.10). In females, however, greater immobility 212
scores predicted a higher OA ratio, or less avoidance in both the first (Figure 4B; R2 = 213
0.27, p = 0.02) and second (Figure 4D; R2 = 0.43, p = 0.0017) TSS sessions. The 214
slopes of the immobility score and OA ratio regression were significantly different 215
between males and females for the first (F1,36 = 12.11, p = 0.0013) and second (F1,36 = 216
7.90, p = 0.008) tail suspension sessions. To control for locomotor activity, we 217
performed simple linear regression analyses of distance traveled in the EPM and 218
immobility scores during both tail suspension sessions (Figure 4E-F), and found no 219
significant relationships in males (TSS1: R2 = 0.062, p = 0.29, TSS2: R2 = 0.13, p = 220
0.12) or females (TSS1: R2 = 0.00081, p = 0.91, TSS2: R2 = 0.0047, p = 0.77). 221
Together, these results demonstrate that the relationships between behavior during 222
stress and avoidance behavior are both sex and time dependent. 223
Relationships between stress coping and avoidance are sex-dependent 224
Given the relationships between avoidance and behavior in the TSS, we tested 225
the collinearity of selected behavioral measures across the tail suspension stressors 226
and avoidance behavior (Figure 5). We found that in females, immobility score during 227
the first 10 minutes of TSS1 was positively correlated with the average TSS1 immobility 228
score (r = 0.60, p = 0.005), TSS2 immobility score (r = 0.78, p < 0.0001), and OA ratio (r 229
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
12
= 0.61, p = 0.005), demonstrating that coping behavior in the first 10 minutes of TSS 230
could predict behavior across both tail suspension sessions in addition to post-stress 231
avoidance behavior. Immobility scores during the first 10 minutes of the first TSS 232
stressor were negatively correlated with the slope of the score over the session (r = -233
0.91, p < 0.0001), indicating that lower immobility at the start of the session was 234
correlated with a greater change in coping over the first stress session. Interestingly, the 235
immobility score slope in females was inversely correlated with OA ratio (r = -0.59, p = 236
0.006), which suggests that a higher rate of coping style change in females predicts 237
more avoidance after stress. This is likely explained mostly by the inverse relationship 238
between immobility in the first 10 minutes of stress and immobility slope, as females 239
who start at a lower immobility score have a higher change in their coping score over 240
time, and the immobility score in the first 10 minutes alone predicts avoidance after 241
stress. 242
TSS1 and TSS2 immobility scores were positively correlated in males (r = 0.61, p 243
= 0.005) and females (r = 0.80, p < 0.0001), which suggests that coping choices within 244
animals are consistent between stress sessions regardless of sex. However, in males, 245
while immobility in the first 10 minutes of TSS1 was positively correlated with the 246
average immobility score during TSS1 (r = 0.66, p = 0.002) and inversely correlated with 247
the slope of TSS1 immobility score (r = -0.83, p < 0.0001), it did not significantly 248
correlate with coping behavior in TSS2 (r = 0.24, p = 0.31) or with OA ratio (r = -0.30, p 249
= 0.20) unlike the observation in females. Simple linear regression revealed significant 250
sex differences between the immobility score in the first 10 minutes of TSS1 and OA 251
ratio (F1, 36 = 7.68, p = 0.0088), as well as the TSS1 immobility score slope and OA ratio 252
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
13
(F1, 36 = 4.53, p = 0.040). Taken together, these results suggest that the relationships 253
between behavioral choices at the beginning of stress and behavior across both stress 254
sessions, and the extent to which those behavioral choices predict post-stress 255
avoidance, are sex-dependent. For females, behavior at the beginning of stress predicts 256
the behavioral profile across both stress sessions and is sufficient to predict avoidance 257
after stress. In males, however, behavior at the beginning of stress is only predictive of 258
the behavioral profile during the first stress session. This suggests that while males and 259
females engage in similar magnitudes of behavioral flexibility as measured by the 260
change in immobility over TSS, females select a set of behavioral choices at the 261
beginning of stress that are sustained across multiple stress sessions and predict 262
avoidance after stress, while the initial behavioral strategies in males are not 263
necessarily sustained across both sessions and do not predict avoidance. 264
We considered one possible source of behavioral variability contributing to sex 265
differences in coping behavior- adoption of tail climbing. We assessed whether animals 266
tail climbed at any point during TSS sessions and found that 46.67% of females 267
engaged in tail climbing at some point during the first tail suspension session and 268
36.67% engaged in tail climbing during the second tail suspension session, while only 269
7.14% of males engaged in tail climbing during either TSS session (Figure 6). The 270
proportion of tail climbing was significantly different between males and females during 271
both the first (p = 0.0010) and second (p = 0.011) TSS sessions (Fisher’s exact test; 272
Figure 6A-D). Within females, there was a significant main effect of tail climbing status 273
on immobility score, with tail climbing females having a significantly lower immobility 274
score than non-tail-climbers (F1, 56 = 64.43, p < 0.0001; Figure 6E). Because DBScorer 275
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
14
does not differentiate between head down and tail climb struggling bouts, it is unclear 276
what proportion of each total immobility score is attributable to tail climbing vs. head 277
down struggling. However, it is clear that in this configuration tail climbing does not 278
Result
in a broadly immobile phenotype during tail suspension and that it is a sex-biased 279
strategy that may contribute to adaptation during stress. 280
281
Discussion
282
In this study, we tested whether sex differences in coping strategies emerge 283
during a repeated stressor, and if they are associated with avoidance behaviors after 284
stress. Active coping is often seen as a beneficial or adaptive choice that promotes 285
resilience after stress, whereas passive coping indicates despair or a “depressive-like" 286
phenotype [36]. However, in an inescapable stressor, the choice to sustain a coping 287
strategy that expends considerable energy may reflect a failure to learn. Sustained 288
active coping may lead to pathophysiological plasticity in neural circuitry that contributes 289
to avoidance, reward, motivation, and aversion. This is particularly important in the 290
SCVS paradigm where animals are exposed to a series of inescapable stressors and 291
must repeatedly select strategies that promote adaptation across each stressor. We 292
focused on behavior in the TSS sessions of SCVS, but it is likely that behavior is 293
influenced by previous and ongoing experience across each stressor and would differ 294
from behavior during isolated tail suspension tests. These prior and ongoing 295
experiences may be important for the observed sex differences in the relationship 296
between coping and avoidance after stress, specifically given observed sex differences 297
in behavioral strategies during other inescapable stressors [15, 17]. 298
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
15
One strength of using the SCVS paradigm to ask this question is that each 299
stressor is repeated, which allows comparison of behavior during repeated stress 300
sessions to ascertain changes in coping strategy. Our data demonstrates that sex 301
differences in coping strategy are a function of both time and repeated exposure to 302
stress. While the choice of coping strategy changed over the duration of the first stress 303
session in both males and females, sex differences were observed in overall immobility 304
score only in the second tail suspension session, where the choice of strategy at the 305
beginning of the stressor was sustained over the duration of the session. This suggests 306
that there may be sex differences in mechanisms that support sustained motivation and 307
learning across repeated inescapable stress sessions. 308
Our study demonstrates that relationships between avoidance behavior and 309
coping behavior across stress sessions are a meaningful sex-dependent outcome of 310
SCVS and predict behavioral variability within each sex. Despite no sex differences in 311
the overall immobility score during the first TSS session or EPM open arm ratio, higher 312
immobility scores predicted greater avoidance in males but lower avoidance in females. 313
On the second TSS session, when females engaged in more active coping than males, 314
higher immobility scores were only a significant predictor of avoidance in females, but 315
not males. Importantly, some studies have identified sex differences in baseline 316
locomotion of mice and rats during the EPM, which can confound interpretations of 317
exploratory behavior [37, 38]. However, our study shows that there is no relationship 318
between the immobility score and locomotion in the EPM. This suggests that the 319
relationship between coping strategy during tail suspension and avoidance is not 320
reducible to sex-biased trends in activity levels. 321
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
16
Assays like the tail suspension and forced swim tests often report total time spent 322
immobile, or inversely, time spent on escape-oriented behaviors. This data suggests, 323
however, that the number of transitions between immobility and escape-oriented 324
behavior may reveal important information that total time in each state may not capture. 325
During the first 10 minutes of the first TSS session, there was no sex difference in the 326
overall immobility score, but females made significantly more transitions between 327
immobility and struggling as measured by the number of immobility bouts. The 328
differences between immobility scores and immobility bouts may reflect a distinction 329
between action initiation for short escape-oriented bouts in comparison to the 330
motivational vigor required for sustaining longer struggling bouts [39, 40]. 331
Researchers utilizing the tail suspension test for screening antidepressants and 332
measuring stress-induced behavioral changes often highlight the challenge of high tail 333
climbing rates in C57BL/6J mice, and many exclude animals who tail climb [33, 41-43]. 334
We did not apply this exclusion criterion in our study for several key reasons. Tail 335
climbing is a coping strategy- it does not permit the animal to escape and requires 336
energy expenditure in a similar way to head-down escape-oriented motion. Importantly 337
for our study, we also found that tail climbing behavior is sex-biased. Nearly half of 338
females but almost no males exhibit tail climbing at some point during the tail 339
suspension stressor. Removing tail climbing animals would introduce a sex-biased 340
exclusion criterion that would preclude a full assessment of how sex-biased coping 341
strategies contribute to behavioral outcomes. It is possible that the vestibular and 342
proprioceptive experience in an entirely head-down position is distinct and that repeated 343
tail climbing promotes greater motivation to struggle, both of which may be important for 344
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
17
understanding neural mechanisms engaged by struggling behavior. As Shansky and 345
Murphy (2021) have emphasized, including females in studies warrants consideration 346
that common behavioral endpoints based on assays that were originally tested 347
exclusively in males may not reflect the range of meaningful behavioral strategies in 348
females [21]. 349
While the EPM is generally understood to test a conserved conflict between an 350
aversion to open or elevated space and exploration, others argue that it is also testing 351
thigmotaxis mediated by the somatosensory system, primarily in the closed arms of the 352
maze [44]. Studies have identified sex differences in thigmotaxis across anxiogenic 353
environments, which may contribute to sex differences in exploratory behavior in the 354
EPM [45, 46]. Neural circuits that assess threat and support coping strategy selection 355
during stress may be altered by repeated unsuccessful escape attempts during stress, 356
which could directly inform future threat assessments in the EPM. These circuits are 357
reliant upon sensory input and interoceptive signals during stress and motivated 358
behavior, and in anxiogenic environments [47-51]. Thus, appraisal of risk and safety 359
signals may be altered by coping choices to promote adaptation after chronic stress. 360
Furthermore, each stressor was performed in groups with cage mates, so while animals 361
could not make physical contact in TSS, it is likely that they can see, smell, and hear 362
their cage mates during stress. Prior work has demonstrated that a physical barrier or 363
being tested alone does not alter behavior in males during the 6-minute tail suspension 364
test [52], but it is unclear whether this would be true in females, and whether it would 365
apply in a prolonged stress session. Given the sex-specific roles of social stress on 366
physiological and behavioral outcomes [18], future studies to test the role of social 367
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
18
context and sensory cues during stress on sex-specific coping strategies and avoidance 368
behaviors would be beneficial. 369
Neither coping strategies nor avoidance behavior can be interpreted under 370
binaries- the more likely case is that an accumulation of maladaptive choices, 371
particularly when those behaviors are sustained over time, can contribute to reduced 372
fitness or pathophysiological states. Why the relationship between coping choices and 373
avoidance would be sex-biased is likely attributable to differences in the evolutionary 374
roles of escape behaviors during inescapable stress and approach behaviors, which 375
engage overlapping neural circuitry [53]. Fluctuations in sex hormones across the 376
estrous cycle and between animals of different social rank may contribute to baseline 377
stress and anxiety levels, and act directly on limbic and striatal circuitry that drive threat 378
appraisal and memory [54-57]. The BNST is a known substrate for both stress coping 379
and avoidance behaviors [48, 49] with established sex differences in contributions to 380
threat processing [58]. The locus coeruleus and ventral tegmental area, hubs for 381
robustly stress-sensitive noradrenergic and dopaminergic circuitry respectively, exhibit 382
structural and physiological sex differences that may also play direct roles in stress 383
processing that are particularly relevant in convergent inputs to limbic and cortical 384
regions [59]. Future studies exploring specific contributions of sex hormones and sex 385
biased regions to learning and adaptation during stress coping could advance concepts 386
of the roles of sex in stress coping and avoidance behavior. 387
Summary/ Conclusions 388
Our study demonstrates that coping strategies are sex-specific and dynamic across a 389
single stress session and between repeated stress exposures. Furthermore, coping 390
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
19
strategies and the change in coping strategy predicts avoidance behavior in a sex-391
dependent fashion. While coping strategies are often not recorded and scored during 392
stress, they may provide a key readout for the progression of behavioral changes 393
across chronic stress paradigms, and may contribute to elucidating the engagement of 394
mechanisms that promote divergent and convergent sex-specific mechanisms. 395
Declarations 396
Ethics approval and consent to participate 397
Not applicable 398
Consent for publication 399
Not applicable 400
Availability of data and materials 401
The datasets used and analyzed during the current study are available from the 402
corresponding author on reasonable request. 403
Competing interests 404
The authors declare that they have no competing interests 405
Funding 406
This work was funded by NIH grants R01MH122712 and R01MH122712S1. 407
Author’s contributions 408
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
20
KP and AMP designed the study; KP collected and analyzed data; KP and AMP 409
interpreted data; KP drafted the paper; AMP edited the paper. 410
Acknowledgments 411
We would like to acknowledge Dr. Paul Marvar for use of the Coulbourn boxes. 412
Author Information 413
Department of Pharmacology and Physiology, George Washington University School of 414
Medicine and Health Sciences, Washington, DC 20037 415
References
416
1. McEwen BS. Mood disorders and allostatic load. Biol Psychiatry. 2003;54 3 :200–7. 417
2. McEwen BS, Akil H. Revisiting the stress concept: implications for affective disorders. 418
Journal of Neuroscience. 2020;40 1 :12–21. 419
3. Douma EH, de Kloet ER. Stress-induced plasticity and functioning of ventral 420
tegmental dopamine neurons. Neuroscience & Biobehavioral Reviews. 2020;108:48–421
77. 422
4. Compas BE. Psychobiological processes of stress and coping: implications for 423
resilience in children and adolescents—comments on the papers of Romeo & McEwen 424
and Fisher et al. Ann N Y Acad Sci. 2006;1094 1 :226–34. 425
5. McEwen BS. Stress, adaptation, and disease: Allostasis and allostatic load. Ann N Y 426
Acad Sci. 1998;840 1 :33–44. 427
6. Marroquín BM, Fontes M, Scilletta A, Miranda R. Ruminative subtypes and coping 428
responses: Active and passive pathways to depressive symptoms. Cognition and 429
Emotion. 2010;24 8 :1446–55. 430
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
21
7. Skinner EA, Edge K, Altman J, Sherwood H. Searching for the structure of coping: a 431
review and critique of category systems for classifying ways of coping. Psychol Bull. 432
2003;129 2 :216. 433
8. Wechsler B. Coping and coping strategies: a behavioural view. Appl Anim Behav Sci. 434
1995;43 2 :123–34. 435
9. Bandelow B, Michaelis S. Epidemiology of anxiety disorders in the 21st century. 436
Dialogues in clinical neuroscience. 2015;17 3 :327–35. 437
10. Leach LS, Christensen H, Mackinnon AJ, Windsor TD, Butterworth P. Gender 438
differences in depression and anxiety across the adult lifespan: the role of psychosocial 439
mediators. Soc Psychiatry Psychiatr Epidemiol. 2008;43 12 :983–98. 440
11. Kessler RC, Petukhova M, Sampson NA, Zaslavsky AM, Wittchen H. Twelve‐month 441
and lifetime prevalence and lifetime morbid risk of anxiety and mood disorders in the 442
United States. International journal of methods in psychiatric research. 2012;21 3 :169–443
84. 444
12. Kessler RC. Epidemiology of women and depression. J Affect Disord. 2003;74 1 :5–445
13. 446
13. Ingram RE, Trenary L, Odom M, Berry L, Nelson T. Cognitive, affective and social 447
mechanisms in depression risk: Cognition, hostility, and coping style. Cognition and 448
emotion. 2007;21 1 :78–94. 449
14. Grant DM, Wingate LR, Rasmussen KA, Davidson CL, Slish ML, Rhoades-Kerswill 450
S, et al. An examination of the reciprocal relationship between avoidance coping and 451
symptoms of anxiety and depression. Journal of Social and Clinical Psychology. 452
2013;32 8 :878–96. 453
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
22
15. Grafe LA, Cornfeld A, Luz S, Valentino R, Bhatnagar S. Orexins mediate sex 454
differences in the stress response and in cognitive flexibility. Biol Psychiatry. 2017;81 8 455
:683–92. 456
16. Rincón-Cortés M, Grace AA. Sex-dependent effects of stress on immobility behavior 457
and VTA dopamine neuron activity: modulation by ketamine. International Journal of 458
Neuropsychopharmacology. 2017;20 10 :823–32. 459
17. Gruene TM, Flick K, Stefano A, Shea SD, Shansky RM. Sexually divergent 460
expression of active and passive conditioned fear responses in rats. Elife. 461
2015;4:e11352. 462
18. Helman TJ, Headrick JP, Vider J, Peart JN, Stapelberg NJ. Sex‐specific behavioral, 463
neurobiological, and cardiovascular responses to chronic social stress in mice. J 464
Neurosci Res. 2022;100 11 :2004–27. 465
19. Bangasser DA, Wicks B. Sex‐specific mechanisms for responding to stress. J 466
Neurosci Res. 2017;95 1-2 :75–82. 467
20. Donner NC, Lowry CA. Sex differences in anxiety and emotional behavior. Pflügers 468
Archiv-European Journal of Physiology. 2013;465 5 :601–26. 469
21. Shansky RM, Murphy AZ. Considering sex as a biological variable will require a 470
global shift in science culture. Nat Neurosci. 2021;24 4 :457–64. 471
22. Bobzean SA, DeNobrega AK, Perrotti LI. Sex differences in the neurobiology of drug 472
addiction. Exp Neurol. 2014;259:64–74. 473
23. Domanico MJ, Stevens S, Wainston I, Khoo E, McCall C, Swack BD, et al. Sub-474
chronic stress exerts partially distinct behavioral and epigenetic effects in male and 475
female mice. Frontiers in Behavioral Neuroscience. 2025;19:1649660. 476
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
23
24. Baugher BJ, Buckhaults K, Case J, Sullivan A, Huq SN, Sachs BD. Sub-chronic 477
stress induces similar behavioral effects in male and female mice despite sex-specific 478
molecular adaptations in the nucleus accumbens. Behav Brain Res. 2022;425:113811. 479
25. Bouarab C, Wynalda M, Thompson BV, Khurana A, Cody CR, Kisner A, et al. Sex‐480
Specific Adaptations to VTA Circuits Following Subchronic Stress. Eur J Neurosci. 481
2025;61 11 :e70153. 482
26. Hodes GE, Pfau ML, Purushothaman I, Ahn HF, Golden SA, Christoffel DJ, et al. 483
Sex differences in nucleus accumbens transcriptome profiles associated with 484
susceptibility versus resilience to subchronic variable stress. Journal of Neuroscience. 485
2015;35 50 :16362–76. 486
27. Zhang S, Zhang H, Ku SM, Juarez B, Morel C, Tzavaras N, et al. Sex differences in 487
the neuroadaptations of reward-related circuits in response to subchronic variable 488
stress. Neuroscience. 2018;376:108–16. 489
28. LaPlant Q, Chakravarty S, Vialou V, Mukherjee S, Koo JW, Kalahasti G, et al. Role 490
of nuclear factor κB in ovarian hormone-mediated stress hypersensitivity in female mice. 491
Biol Psychiatry. 2009;65 10 :874–80. 492
29. Krishnan V, Han M, Graham DL, Berton O, Renthal W, Russo SJ, et al. Molecular 493
adaptations underlying susceptibility and resistance to social defeat in brain reward 494
regions. Cell. 2007;131 2 :391–404. 495
30. Williams ES, Manning CE, Eagle AL, Swift-Gallant A, Duque-Wilckens N, 496
Chinnusamy S, et al. Androgen-dependent excitability of mouse ventral hippocampal 497
afferents to nucleus accumbens underlies sex-specific susceptibility to stress. Biol 498
Psychiatry. 2020;87 6 :492–501. 499
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
24
31. Thierry B, Steru L, Simon P, Porsolt RD. The tail suspension test: ethical 500
considerations. Psychopharmacology (Berl ). 1986;90 2 :284–5. 501
32. Nandi A, Virmani G, Barve A, Marathe S. DBscorer: An open-source software for 502
automated accurate analysis of rodent behavior in forced swim test and tail suspension 503
test. Eneuro. 2021;8 6 . 504
33. Can A, Dao DT, Terrillion CE, Piantadosi SC, Bhat S, Gould TD. The tail suspension 505
test. Journal of visualized experiments: JoVE. 2012 59 :3769. 506
34. Panayiotou G, Karekla M, Leonidou C. Coping through avoidance may explain 507
gender disparities in anxiety. Journal of Contextual Behavioral Science. 2017;6 2 :215–508
20. 509
35. Veroude K, Jolles J, Croiset G, Krabbendam L. Sex differences in the neural bases 510
of social appraisals. Social Cognitive and Affective Neuroscience. 2014;9 4 :513–9. 511
36. Tye KM, Mirzabekov JJ, Warden MR, Ferenczi EA, Tsai H, Finkelstein J, et al. 512
Dopamine neurons modulate neural encoding and expression of depression-related 513
behaviour. Nature. 2013;493 7433 :537–41. 514
37. Simpson J, Ryan C, Curley A, Mulcaire J, Kelly JP. Sex differences in baseline and 515
drug-induced behavioural responses in classical behavioural tests. Prog Neuro-516
Psychopharmacol Biol Psychiatry. 2012;37 2 :227–36. 517
38. Börchers S, Krieger J, Asker M, Maric I, Skibicka KP. Commonly-used rodent tests 518
of anxiety-like behavior lack predictive validity for human sex differences. 519
Psychoneuroendocrinology. 2022;141:105733. 520
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
25
39. Panigrahi B, Martin KA, Li Y, Graves AR, Vollmer A, Olson L, et al. Dopamine is 521
required for the neural representation and control of movement vigor. Cell. 2015;162 6 522
:1418–30. 523
40. Ko D, Wanat MJ. Phasic dopamine transmission reflects initiation vigor and exerted 524
effort in an action-and region-specific manner. Journal of Neuroscience. 2016;36 7 525
:2202–11. 526
41. Ripoll N, David DJP, Dailly E, Hascoët M, Bourin M. Antidepressant-like effects in 527
various mice strains in the tail suspension test. Behav Brain Res. 2003;143 2 :193–200. 528
42. Mayorga AJ, Lucki I. Limitations on the use of the C57BL/6 mouse in the tail 529
suspension test. Psychopharmacology (Berl ). 2001;155 1 :110–2. 530
43. Mohrbacher N, Hofstetter J, Mayeda A. Assessment time affects the outcome of the 531
tail suspension test. Biol Rhythm Res. 2011;42 4 :299–302. 532
44. Filgueiras GB, Carvalho-Netto EF, Estanislau C. Aversion in the elevated plus-533
maze: role of visual and tactile cues. Behav Processes. 2014;107:106–11. 534
45. Võikar V, Kõks S, Vasar E, Rauvala H. Strain and gender differences in the 535
behavior of mouse lines commonly used in transgenic studies. Physiol Behav. 2001;72 536
1-2 :271–81. 537
46. Leppänen PK, Ravaja N, Ewalds-Kvist S. Twenty-three generations of mice 538
bidirectionally selected for open-field thigmotaxis: Selection response and repeated 539
exposure to the open field. Behav Processes. 2006;72 1 :23–31. 540
47. Hughes RN, Bakhurin KI, Petter EA, Watson GD, Kim N, Friedman AD, et al. 541
Ventral tegmental dopamine neurons control the impulse vector during motivated 542
behavior. Current Biology. 2020;30 14 :2681,2694. e5. 543
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
26
48. Williford KM, Taylor A, Melchior JR, Yoon HJ, Sale E, Negasi MD, et al. BNST 544
PKCδ neurons are activated by specific aversive conditions to promote anxiety-like 545
behavior. Neuropsychopharmacology. 2023;48 7 :1031–41. 546
49. Luchsinger JR, Fetterly TL, Williford KM, Salimando GJ, Doyle MA, Maldonado J, et 547
al. Delineation of an insula-BNST circuit engaged by struggling behavior that regulates 548
avoidance in mice. Nature communications. 2021;12 1 :3561. 549
50. Engelhard B, Finkelstein J, Cox J, Fleming W, Jang HJ, Ornelas S, et al. 550
Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons. 551
Nature. 2019;570 7762 :509–13. 552
51. Kropf E, Syan SK, Minuzzi L, Frey BN. From anatomy to function: the role of the 553
somatosensory cortex in emotional regulation. Brazilian Journal of Psychiatry. 2018;41 554
03 :261–9. 555
52. Ueno H, Takahashi Y, Murakami S, Wani K, Matsumoto Y, Okamoto M, et al. Effect 556
of simultaneous testing of two mice in the tail suspension test and forced swim test. 557
Scientific reports. 2022;12 1 :9224. 558
53. Rodgers R, Cao B, Dalvi A, Holmes A. Animal models of anxiety: an ethological 559
perspective. Brazilian journal of medical and biological research. 1997;30:289–304. 560
54. Chari T, Griswold S, Andrews NA, Fagiolini M. The stage of the estrus cycle is 561
critical for interpretation of female mouse social interaction behavior. Frontiers in 562
behavioral neuroscience. 2020;14:113. 563
55. Lovick TA, Zangrossi Jr H. Effect of estrous cycle on behavior of females in rodent 564
tests of anxiety. Frontiers in psychiatry. 2021;12:711065. 565
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
27
56. Lovick TA, Zangrossi Jr H. Effect of estrous cycle on behavior of females in rodent 566
tests of anxiety. Frontiers in psychiatry. 2021;12:711065. 567
57. Williamson CM, Lee W, Romeo RD, Curley JP. Social context-dependent 568
relationships between mouse dominance rank and plasma hormone levels. Physiol 569
Behav. 2017;171:110–9. 570
58. Urien L, Bauer EP. Sex differences in BNST and amygdala activation by contextual, 571
cued, and unpredictable threats. Eneuro. 2022;9 1 . 572
59. Bangasser DA, Wiersielis KR, Khantsis S. Sex differences in the locus coeruleus-573
norepinephrine system and its regulation by stress. Brain Res. 2016;1641:177–88. 574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
28
Figure Legends 589
590
Figure 1. Stress coping behavior during the tail suspension phases of SCVS is 591
sex-dependent 592
A. Experimental schematic for subchronic variable stress (SCVS). Behavior was video 593
recorded during the first and second tail suspension sessions (TSS1 and TSS2). B 594
Average immobility score and C total immobility bouts during TSS1 and TSS2. D 595
Immobility score during the first 10 minutes of TSS1. E Total immobility bouts during the 596
first 10 minutes of TSS1. # indicates significant main effect: # p < 0.05, ## p < 0.01, ### 597
p < 0.001, #### p < 0.0001. Pairwise comparisons were performed with Mann-Whitney 598
U test. N=28 males, 30 females. * p<0.05, ** p<0.01. 599
600
Figure 2. Stress coping behavior changes within and between tail suspension 601
sessions 602
A. Immobility score and B immobility bouts across TSS1, within 10-minute bins. C. 603
Immobility score and D Immobility bouts across TSS2, within 10-minute bins. Two-way 604
ANOVA followed by Dunnett’s multiple comparisons test where significant main effects 605
of time were present. E Slopes of immobility score and F slopes of immobility bouts over 606
time for each animal. Two-way ANOVA. # indicates significant main effect: # p < 0.05, 607
## p < 0.01, ### p < 0.001, #### p < 0.0001. * indicates significant pairwise difference 608
in comparison to first 10 minutes. * p < 0.05, ** p < 0.01, *** p < 0.001, ****p < 0.0001. N 609
= 28 males, 30 females. 610
611
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
29
Figure 3. No sex differences in avoidance behaviors in the elevated plus maze 612
After SCVS, A. total distance traveled (males: 12.40 ± 0.61 m, females: 11.75 ± 0.55 m) 613
in the elevated plus maze. B. open arm entries (males: 11.65 ± 1.64, females: 12.85 ± 614
1.77, C. open arm time (males: 39.40 ± 7.39 s, females: 56.78 ± 9.40 s) and D. open 615
arm ratio (males: 15.05 ± 2.70%, females: 21.92 ± 3.24%) were measured in males and 616
females. Open arm ratio = [(open arm time/ open arm time + closed arm time) * 100]. N 617
= 20 females, 20 males. 618
619
Figure 4. Relationships between stress coping and post-stress avoidance 620
behavior are sex-specific 621
Simple linear regressions between OA ratio and immobility score during TSS1 in males 622
A and females B, and OA ratio and immobility score during TSS2 in males C and 623
females D. Simple linear regression of distance traveled in the elevated plus maze and 624
immobility score during TSS1 E and TSS2 F. R2 and p-values listed on graph inset. N= 625
20 females, 20 males. 626
627
Figure 5. Covariance between immobility measures and avoidance behaviors is 628
sex-dependent 629
Pearson r correlation coefficients between the first 10 minutes of TSS1, TSS1 average 630
immobility score, TSS1 immobility slope, TSS2 average immobility score, and open arm 631
ratio in females A and males B. N= 20 females, 20 males. * p < 0.05, ** p < 0.01, *** p < 632
0.001, ****p < 0.0001. 633
634
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
30
Figure 6. Tail climbing rates are greater in females during tail suspension stress 635
Proportions of tail climbing at any point during TSS1 in females A and males B and 636
during TSS2 in females C and males D. N = 28 males, 30 females. E. Immobility scores 637
are higher in females who do not tail climb at any point during TSS. Two-way ANOVA. 638
#### indicates main effect, p < 0.0001. N = 11-19/group. 639
640
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
A
B C
Day 1
Foot Shock
Day 2
Tail
Suspension
(TSS1)
Day 3
Restraint
Day 4
Foot Shock
Day 5
Tail
Suspension
(TSS2)
Day 6
Restraint
Subchronic Variable Stress (SCVS)
T
S
S
1
T
S
S
2
0
2
0
0
4
0
0
6
0
0
F
e
m
a
l
e
M
a
l
e
#
Immobility Bouts
D
F
e
m
a
l
e
M
a
l
e
0
5
0
1
0
0
1
5
0
T
S
S
1
:
F
i
r
s
t
1
0
M
i
n
u
t
e
s
✱
Immobility Bouts
E
Immobility Score (%)
F
e
m
a
l
e
M
a
l
e
0
5
0
1
0
0
T
S
S
1
:
F
i
r
s
t
1
0
M
i
n
u
t
e
s
T
S
S
1
T
S
S
2
0
5
0
1
0
0
F
e
m
a
l
e
M
a
l
e
#
#
#
#
#Immobility Score (%)
Fig. 1
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
A
Immobility Score (%)
B
C
Immobility Bouts
E
Immobility Bout Slope
D
Immobility Score Slope
F
0
1
2
3
4
5
6
5
0
6
0
7
0
8
0
9
0
1
0
0
T
S
S
1
F
e
m
a
l
e
M
a
l
e
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
#
#
#
#
0
1
2
3
4
5
6
5
0
6
0
7
0
8
0
9
0
1
0
0
T
S
S
2
M
a
l
e
F
e
m
a
l
e
##
Immobility Score (%)
0
1
2
3
4
5
6
0
1
0
2
0
3
0
4
0
5
0
6
0
T
S
S
2
1
0
-
M
i
n
u
t
e
B
i
n
*
*
*
*
*
*
*
#
#
#
#
F
e
m
a
l
e
M
a
l
e
##
0
1
2
3
4
5
6
0
1
0
2
0
3
0
4
0
5
0
6
0
T
S
S
1
1
0
-
M
i
n
u
t
e
B
i
n
#
#
#
#
*
*
*
*
*
*
*
*
*
*
*
*
F
e
m
a
l
e
M
a
l
e
Immobility Bouts
T
S
S
1
T
S
S
2
-
1
0
0
1
0
#
#
#
#
T
S
S
1
T
S
S
2
-
2
0
-
1
0
0
1
0
2
0
M
a
l
e
#
#
#
#
F
e
m
a
l
e
M
a
l
e
Fig. 2
F
e
m
a
l
e
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
A B
C D
F
e
m
a
l
e
M
a
l
e
0
5
1
0
1
5
2
0
T
o
t
a
l
D
i
s
t
a
n
c
e
T
r
a
v
e
l
e
d
Distance (m)
F
e
m
a
l
e
M
a
l
e
0
1
0
2
0
3
0
4
0
O
p
e
n
A
r
m
E
n
t
r
i
e
s
F
e
m
a
l
e
M
a
l
e
0
5
0
1
0
0
1
5
0
2
0
0
O
p
e
n
A
r
m
T
i
m
eseconds
F
e
m
a
l
e
M
a
l
e
0
2
0
4
0
6
0
O
p
e
n
A
r
m
R
a
t
i
o
(
%
)
Fig. 3
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
A B
OA Ratio (%)
I
m
m
o
b
i
l
i
t
y
S
c
o
r
e
(
%
)OA Ratio (%)
5
0
6
0
7
0
8
0
9
0
1
0
0
0
1
0
2
0
3
0
4
0
5
0
6
0
7
0
T
S
S
2
:
F
e
m
a
l
e
s
I
m
m
o
b
i
l
i
t
y
S
c
o
r
e
(
%
)
R
2
=
0
.
4
3
p
=
0
.
0
0
1
7
5
0
6
0
7
0
8
0
9
0
1
0
0
0
1
0
2
0
3
0
4
0
5
0
6
0
7
0
T
S
S
1
:
F
e
m
a
l
e
s
R
2
=
0
.
2
7
p
=
0
.
0
2
0
5
0
6
0
7
0
8
0
9
0
1
0
0
0
1
0
2
0
3
0
4
0
5
0
6
0
7
0
T
S
S
1
:
M
a
l
e
s
R
2
=
0
.
2
9
p
=
0
.
0
1
4
5
0
6
0
7
0
8
0
9
0
1
0
0
0
1
0
2
0
3
0
4
0
5
0
6
0
7
0
T
S
S
2
:
M
a
l
e
s
R
2
=
0
.
1
4
p
=
0
.
1
0
3
5
0
6
0
7
0
8
0
9
0
1
0
0
0
5
1
0
1
5
2
0
2
5
M
a
l
e
F
e
m
a
l
e
R
2
=
0
.
0
0
0
8
1
p
=
0
.
9
1
R
2
=
0
.
0
6
2
p
=
0
.
2
9EPM Distance (m)
5
0
6
0
7
0
8
0
9
0
1
0
0
0
5
1
0
1
5
2
0
2
5
T
S
S
2
I
m
m
o
b
i
l
i
t
y
S
c
o
r
e
(
%
)
M
a
l
e
F
e
m
a
l
e
R
2
=
0
.
1
3
p
=
0
.
1
2
R
2
=
0
.
0
0
4
7
p
=
0
.
7
7
TSS1 Immobility Score (%)
I
m
m
o
b
i
l
i
t
y
S
c
o
r
e
(
%
)
I
m
m
o
b
i
l
i
t
y
S
c
o
r
e
(
%
)
C D
EPM Distance (m)
E F
OA Ratio (%) OA Ratio (%)
Fig. 4
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
1
.
0
0
0
.
6
0
-
0
.
9
1
0
.
7
8
0
.
6
1
0
.
6
0
1
.
0
0
-
0
.
4
8
0
.
8
0
0
.
5
2
-
0
.
9
1
-
0
.
4
8
1
.
0
0
-
0
.
7
2
-
0
.
5
9
0
.
7
8
0
.
8
0
-
0
.
7
2
1
.
0
0
0
.
6
6
0
.
6
1
0
.
5
2
-
0
.
5
9
0
.
6
6
1
.
0
0
T
S
S
1
F
i
r
s
t
1
0
M
i
n
s
T
S
S
1
A
v
e
r
a
g
e
T
S
S
1
S
l
o
p
e
T
S
S
2
A
v
e
r
a
g
e
O
A
R
a
t
i
o
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
I
m
m
o
b
i
l
i
t
y
a
n
d
A
v
o
i
d
a
n
c
e
:
F
e
m
a
l
e
s
-
1
.
0
-
0
.
5
0
0
.
5
1
.
0
T
S
S
1
F
i
r
s
t
1
0
M
i
n
s
T
S
S
1
A
v
e
r
a
g
e
T
S
S
1
S
l
o
p
e
T
S
S
2
A
v
e
r
a
g
e
O
A
R
a
t
i
o
1
.
0
0
0
.
6
6
-
0
.
8
3
0
.
2
4
-
0
.
3
0
0
.
6
6
1
.
0
0
-
0
.
3
1
0
.
6
1
-
0
.
5
4
-
0
.
8
3
-
0
.
3
1
1
.
0
0
0
.
0
8
0
.
1
0
0
.
2
4
0
.
6
1
0
.
0
8
1
.
0
0
-
0
.
3
7
-
0
.
3
0
-
0
.
5
4
0
.
1
0
-
0
.
3
7
1
.
0
0
T
S
S
1
F
i
r
s
t
1
0
M
i
n
s
T
S
S
1
A
v
e
r
a
g
e
T
S
S
1
S
l
o
p
e
T
S
S
2
A
v
e
r
a
g
e
O
A
R
a
t
i
o
*
*
*
*
*
*
*
*
*
*
*
*
*
I
m
m
o
b
i
l
i
t
y
a
n
d
A
v
o
i
d
a
n
c
e
:
M
a
l
e
s
*
*
*
-
1
.
0
-
0
.
5
0
0
.
5
1
.
0
T
S
S
1
F
i
r
s
t
1
0
M
i
n
s
T
S
S
1
A
v
e
r
a
g
e
T
S
S
1
S
l
o
p
e
T
S
S
2
A
v
e
r
a
g
e
O
A
R
a
t
i
o
A
B
Fig. 5
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
F
e
m
a
l
e
s
T
S
S
2
6
3
.
3
3
%
N
o
T
a
i
l
C
l
i
m
b
i
n
g
3
6
.
6
7
%
T
a
i
l
C
l
i
m
b
i
n
g
M
a
l
e
s
T
S
S
2
9
2
.
8
6
%
N
o
T
a
i
l
C
l
i
m
b
i
n
g
7
.
1
4
%
T
a
i
l
C
l
i
m
b
i
n
g
F
e
m
a
l
e
s
T
S
S
1
5
3
.
3
3
%
N
o
T
a
i
l
C
l
i
m
b
i
n
g
4
6
.
6
7
%
T
a
i
l
C
l
i
m
b
i
n
g
M
a
l
e
s
T
S
S
1
9
2
.
8
6
%
N
o
T
a
i
l
C
l
i
m
b
i
n
g
7
.
1
4
%
T
a
i
l
C
l
i
m
b
i
n
g
T
a
i
l
C
l
i
m
b
i
n
g
N
o
t
T
a
i
l
C
l
i
m
b
i
n
g
0
2
0
4
0
6
0
8
0
1
0
0
F
e
m
a
l
e
T
S
S
1
F
e
m
a
l
e
T
S
S
2
#
#
#
#
Immobility Score (%)
A B
C D
E
Fig. 6
.CC-BY 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted January 2, 2026. ; https://doi.org/10.64898/2025.12.31.697182doi: bioRxiv preprint
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.