Deciphering the reward-related impulsivity domains in rats: The big data study of historical control
Аутори
Aranđelović, JovanaMirković, Kristina
Kojić, Jana
Savić, Miroslav
Остала ауторства
Morić, IvanaĐorđević, Valentina
Конференцијски прилог (Објављена верзија)
,
© 2023 Institute of Molecular Genetics and Genetic Engineering, University of Belgrade
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Приказ свих података о документуАпстракт
Impulsivity is a lack of ability to control own impulses, and encompasses many subdomains.
The variable-delay-to-signal (VDS) paradigm is behavioral procedure for assessing motor
impulsivity and delay intolerance in rats, but it was unclear whether all parameters
contributed to these domains. Therefore, the aim of this study was to uncover the
relationship between impulsivity parameters in a large cohort.
VDS adapted to a touchscreen environment was used to assess impulsivity in adult
Sprague-Dawley rats. After 1 week of training, animals were tested in a 3-stage testing
protocol. The first stage included 20 trials with 6s inter-trial interval (ITI6si) that suggested
motor impulsivity. The second stage, with 60 randomly distributed trials of ITI9s or 15s,
was interpreted as delay intolerance, whereas for the last stage (ITI6sf), which is similar
to the first stage, it was unclear to which type of impulsivity it was associated. Principal
component analysis (PCA) was used to d...etermine the different behavioral domains. The
results of 132 controls from 11 independent VDS experiments were analyzed. Based on
the cumulative variance explained, scree plot, and eigenvalues, the main components were
extracted whereby varimax rotation was used on factor loadings to extract the components.
PCA with varimax rotation was performed in R studio.
PCA revealed that 96.45% of the variance could be explained by 3 principal components (PCs).
After varimax rotation, loadings for ITI9s and ITI15s were 0.8189 and 0.9419, respectively,
for rotated PC1 (RC1), loading for ITI6sf was 0.9482 for RC2, and loading for 6si was 0.9183
for RC3.
In the VDS paradigm, 3 different impulsivity domains could be determined. In addition to
motor impulsivity and delay intolerance, it is suggested that reflection impulsivity can also
be assessed as learning-based impulsivity.
Кључне речи:
principal component analysis / biostatistics / rat behavior / impulsivityИзвор:
4th Belgrade Bioinformatics Conference, 2023, 4, 82-82Издавач:
- Belgrade : Institute of molecular genetics and genetic engineering
Напомена:
- Book of abstract: 4th Belgrade Bioinformatics Conference, June 19-23, 2023
Колекције
Институција/група
Institut za molekularnu genetiku i genetičko inženjerstvoTY - CONF AU - Aranđelović, Jovana AU - Mirković, Kristina AU - Kojić, Jana AU - Savić, Miroslav PY - 2023 UR - https://belbi.bg.ac.rs/ UR - https://imagine.imgge.bg.ac.rs/handle/123456789/2027 AB - Impulsivity is a lack of ability to control own impulses, and encompasses many subdomains. The variable-delay-to-signal (VDS) paradigm is behavioral procedure for assessing motor impulsivity and delay intolerance in rats, but it was unclear whether all parameters contributed to these domains. Therefore, the aim of this study was to uncover the relationship between impulsivity parameters in a large cohort. VDS adapted to a touchscreen environment was used to assess impulsivity in adult Sprague-Dawley rats. After 1 week of training, animals were tested in a 3-stage testing protocol. The first stage included 20 trials with 6s inter-trial interval (ITI6si) that suggested motor impulsivity. The second stage, with 60 randomly distributed trials of ITI9s or 15s, was interpreted as delay intolerance, whereas for the last stage (ITI6sf), which is similar to the first stage, it was unclear to which type of impulsivity it was associated. Principal component analysis (PCA) was used to determine the different behavioral domains. The results of 132 controls from 11 independent VDS experiments were analyzed. Based on the cumulative variance explained, scree plot, and eigenvalues, the main components were extracted whereby varimax rotation was used on factor loadings to extract the components. PCA with varimax rotation was performed in R studio. PCA revealed that 96.45% of the variance could be explained by 3 principal components (PCs). After varimax rotation, loadings for ITI9s and ITI15s were 0.8189 and 0.9419, respectively, for rotated PC1 (RC1), loading for ITI6sf was 0.9482 for RC2, and loading for 6si was 0.9183 for RC3. In the VDS paradigm, 3 different impulsivity domains could be determined. In addition to motor impulsivity and delay intolerance, it is suggested that reflection impulsivity can also be assessed as learning-based impulsivity. PB - Belgrade : Institute of molecular genetics and genetic engineering C3 - 4th Belgrade Bioinformatics Conference T1 - Deciphering the reward-related impulsivity domains in rats: The big data study of historical control EP - 82 SP - 82 VL - 4 UR - https://hdl.handle.net/21.15107/rcub_imagine_2027 ER -
@conference{ author = "Aranđelović, Jovana and Mirković, Kristina and Kojić, Jana and Savić, Miroslav", year = "2023", abstract = "Impulsivity is a lack of ability to control own impulses, and encompasses many subdomains. The variable-delay-to-signal (VDS) paradigm is behavioral procedure for assessing motor impulsivity and delay intolerance in rats, but it was unclear whether all parameters contributed to these domains. Therefore, the aim of this study was to uncover the relationship between impulsivity parameters in a large cohort. VDS adapted to a touchscreen environment was used to assess impulsivity in adult Sprague-Dawley rats. After 1 week of training, animals were tested in a 3-stage testing protocol. The first stage included 20 trials with 6s inter-trial interval (ITI6si) that suggested motor impulsivity. The second stage, with 60 randomly distributed trials of ITI9s or 15s, was interpreted as delay intolerance, whereas for the last stage (ITI6sf), which is similar to the first stage, it was unclear to which type of impulsivity it was associated. Principal component analysis (PCA) was used to determine the different behavioral domains. The results of 132 controls from 11 independent VDS experiments were analyzed. Based on the cumulative variance explained, scree plot, and eigenvalues, the main components were extracted whereby varimax rotation was used on factor loadings to extract the components. PCA with varimax rotation was performed in R studio. PCA revealed that 96.45% of the variance could be explained by 3 principal components (PCs). After varimax rotation, loadings for ITI9s and ITI15s were 0.8189 and 0.9419, respectively, for rotated PC1 (RC1), loading for ITI6sf was 0.9482 for RC2, and loading for 6si was 0.9183 for RC3. In the VDS paradigm, 3 different impulsivity domains could be determined. In addition to motor impulsivity and delay intolerance, it is suggested that reflection impulsivity can also be assessed as learning-based impulsivity.", publisher = "Belgrade : Institute of molecular genetics and genetic engineering", journal = "4th Belgrade Bioinformatics Conference", title = "Deciphering the reward-related impulsivity domains in rats: The big data study of historical control", pages = "82-82", volume = "4", url = "https://hdl.handle.net/21.15107/rcub_imagine_2027" }
Aranđelović, J., Mirković, K., Kojić, J.,& Savić, M.. (2023). Deciphering the reward-related impulsivity domains in rats: The big data study of historical control. in 4th Belgrade Bioinformatics Conference Belgrade : Institute of molecular genetics and genetic engineering., 4, 82-82. https://hdl.handle.net/21.15107/rcub_imagine_2027
Aranđelović J, Mirković K, Kojić J, Savić M. Deciphering the reward-related impulsivity domains in rats: The big data study of historical control. in 4th Belgrade Bioinformatics Conference. 2023;4:82-82. https://hdl.handle.net/21.15107/rcub_imagine_2027 .
Aranđelović, Jovana, Mirković, Kristina, Kojić, Jana, Savić, Miroslav, "Deciphering the reward-related impulsivity domains in rats: The big data study of historical control" in 4th Belgrade Bioinformatics Conference, 4 (2023):82-82, https://hdl.handle.net/21.15107/rcub_imagine_2027 .