Bouts of rest and physical activity in C57BL/6J mice
Data files
Apr 12, 2023 version files 18.54 GB
-
A01_Mar-Apr2019_edge_2_1.25.txt
97.02 MB
-
A03_Mar-Apr2019_edge_2_1.25.txt
99.23 MB
-
A05_Mar-Apr2019_edge_2_1.25.txt
99.68 MB
-
A07_Mar-Apr2019_edge_2_1.25.txt
99.62 MB
-
A09_Mar-Apr2019_edge_2_1.25.txt
99.35 MB
-
B01_Mar-Apr2019_edge_2_1.25.txt
98.23 MB
-
B03_Mar-Apr2019_edge_2_1.25.txt
100.67 MB
-
B04_Jul-Aug2020_W2_L1.25_dryad.txt
157.19 MB
-
B05_Jul-Aug2020_W2_L1.25_dryad.txt
156.60 MB
-
B05_Mar-Apr2019_edge_2_1.25.txt
102.62 MB
-
B06_Jul-Aug2020_W2_L1.25_dryad.txt
64 B
-
B07_Jul-Aug2020_W2_L1.25_dryad.txt
154.71 MB
-
B07_Mar-Apr2019_edge_2_1.25.txt
100.94 MB
-
B08_Jul-Aug2020_W2_L1.25_dryad.txt
154.82 MB
-
B09_Mar-Apr2019_edge_2_1.25.txt
100.37 MB
-
C03_Jul-Aug2020_W2_L1.25_dryad.txt
156.08 MB
-
C04_Jul-Aug2020_W2_L1.25_dryad.txt
156.79 MB
-
C05_Jul-Aug2020_W2_L1.25_dryad.txt
154.04 MB
-
C06_Jul-Aug2020_W2_L1.25_dryad.txt
152.58 MB
-
C07_Jul-Aug2020_W2_L1.25_dryad.txt
155.40 MB
-
C08_Jul-Aug2020_W2_L1.25_dryad.txt
153.24 MB
-
C1_Jul-Aug2018_W2_L1.25_dryad.txt
112.44 MB
-
C10_Jul-Aug2018_W2_L1.25_dryad.txt
179.04 MB
-
C11_Jul-Aug2018_W2_L1.25_dryad.txt
179.48 MB
-
C12_Jul-Aug2018_W2_L1.25_dryad.txt
177.79 MB
-
C13_Jul-Aug2018_W2_L1.25_dryad.txt
181.33 MB
-
C14_Jul-Aug2018_W2_L1.25_dryad.txt
179.66 MB
-
C15_Jul-Aug2018_W2_L1.25_dryad.txt
179.39 MB
-
C16_Jul-Aug2018_W2_L1.25_dryad.txt
178.36 MB
-
C17_Jul-Aug2018_W2_L1.25_dryad.txt
180.09 MB
-
C18_Jul-Aug2018_W2_L1.25_dryad.txt
175.88 MB
-
C19_Jul-Aug2018_W2_L1.25_dryad.txt
170.07 MB
-
C2_Jul-Aug2018_W2_L1.25_dryad.txt
175.34 MB
-
C20_Jul-Aug2018_W2_L1.25_dryad.txt
177.46 MB
-
C3_Jul-Aug2018_W2_L1.25_dryad.txt
177.54 MB
-
C4_Jul-Aug2018_W2_L1.25_dryad.txt
175.84 MB
-
C5_Jul-Aug2018_W2_L1.25_dryad.txt
179.02 MB
-
C6_Jul-Aug2018_W2_L1.25_dryad.txt
174.52 MB
-
C7_Jul-Aug2018_W2_L1.25_dryad.txt
167.38 MB
-
C8_Jul-Aug2018_W2_L1.25_dryad.txt
173.45 MB
-
C9_Jul-Aug2018_W2_L1.25_dryad.txt
177.98 MB
-
D03_Jul-Aug2020_W2_L1.25_dryad.txt
154.25 MB
-
D04_Jul-Aug2020_W2_L1.25_dryad.txt
154.81 MB
-
D05_Jul-Aug2020_W2_L1.25_dryad.txt
154.75 MB
-
D06_Jul-Aug2020_W2_L1.25_dryad.txt
154.85 MB
-
D08_Jul-Aug2020_W2_L1.25_dryad.txt
154.43 MB
-
E03_Jul-Aug2020_W2_L1.25_dryad.txt
155.48 MB
-
E07_Jul-Aug2020_W2_L1.25_dryad.txt
157.46 MB
-
E08_Jul-Aug2020_W2_L1.25_dryad.txt
155.87 MB
-
F07_Jul-Aug2020_W2_L1.25_dryad.txt
153.77 MB
-
README.md
5.12 KB
-
S1_raw_positions.txt
846.13 MB
-
S1_Sept-Oct2021_W2_L1.25_dryad.txt
247.67 MB
-
S10_raw_positions.txt
852.51 MB
-
S10_Sept-Oct2021_W2_L1.25_dryad.txt
254.65 MB
-
S2_raw_positions.txt
875.98 MB
-
S2_Sept-Oct2021_W2_L1.25_dryad.txt
250.18 MB
-
S3_raw_positions.txt
855.69 MB
-
S3_Sept-Oct2021_W2_L1.25_dryad.txt
247.87 MB
-
S4_raw_positions.txt
847.53 MB
-
S4_Sept-Oct2021_W2_L1.25_dryad.txt
248.34 MB
-
S5_raw_positions.txt
874.86 MB
-
S5_Sept-Oct2021_W2_L1.25_dryad.txt
249.97 MB
-
S6_raw_positions.txt
839.68 MB
-
S6_Sept-Oct2021_W2_L1.25_dryad.txt
248.53 MB
-
S7_raw_positions.txt
891.29 MB
-
S7_Sept-Oct2021_W2_L1.25_dryad.txt
250.48 MB
-
S8_raw_positions.txt
887.14 MB
-
S8_Sept-Oct2021_W2_L1.25_dryad.txt
250.46 MB
-
S9_raw_positions.txt
856.03 MB
-
S9_Sept-Oct2021_W2_L1.25_dryad.txt
248.40 MB
Abstract
The objective was to exploit the raw data output from a scalable home cage (type IIL IVC) monitoring (HCM) system (DVC®), to characterize the pattern of undisrupted rest and physical activity (PA) of C57BL/6J mice. The system’s tracking algorithm shows that mice in isolation spend 67% of the time in bouts of long rest (≥40s) and 59% of the time was interpreted as sleep. Twenty percent is physical activity (PA), split equally between local movements and locomotion. Decomposition revealed that a day contains ~6500 discrete bouts of short and long rest, and local and locomotor movements. Mice travel ~330m per day, mainly during the dark hours, while travelling speed is similar through the light-dark cycle. Locomotor bouts are usually <0.2m and <1% are >1m. Tracking also revealed fits of abnormal behaviour. The starting positions of the bouts showed no preference for the rear over the front of the cage floor, while there was a strong bias for the peripheral (75%) over the central floor area. The composition of bouts has a characteristic circadian pattern, however, intrusive husbandry routines increased bout fragmentation by ~40%.
Extracting electrode activations density (EAD) from the raw data yielded results close to those obtained with the tracking algorithm, with 59% of the time in long rest (<1 EAD s-1) and 20% in PA. We confirm that EAD correlates closely with movement distance (rs>0.95) and the data agreed in ~96% of the file time. Thus, albeit EAD is less informative, it may serve as a proxy for PA and rest, enabling monitoring group-housed mice. The data show that a change in housing density from one to two, and up to three mice had the same effect size on EAD (~2) with no difference between sexes. The EAD deviated significantly from this stepwise increase with 4 mice per cage, suggesting a crowdedness stress inducing sex-specific adaptations.
We conclude that informative metrics on rest and PA can be automatically extracted from the raw data flow in near-real time (< 1 hrs). These metrics relay useful longitudinal information to those who use or care for the animals.
- Pernold, Karin; Rullman, Eric; Ulfhake, Brun (2023). Bouts of rest and physical activity in C57BL/6J mice. PLOS ONE. https://doi.org/10.1371/journal.pone.0280416
