Abstract
This study investigated the effects of phenazepam and haloperidol, recognized as a tranquilizer and an antipsychotic, respectively, on anxiety using the open field test. We employed conventional behavioral assessments alongside color-tracing and color-coding methodologies to examine the comparative influences of two chosen drugs. Both compounds induced a reduction in locomotor activity, though with nuanced differences. Phenazepam’s suppressive effect manifested later, countered by increased traverses along the periphery, while haloperidol’s impact was evident earlier, accompanied by localized movements. Analysis of movement initiation revealed distinct patterns between the groups, suggesting phenazepam’s influence on cortical processes and haloperidol’s Impact on anxiety-related behavior. Despite reduced central exploration, interpretation of anxiety levels necessitates consideration of drug effects and environmental context. Our findings underscore the complexity of assessing anxiety solely based on motor activity, emphasizing the importance of incorporating emotional dimensions in clinical evaluations. This nuanced understanding is vital for optimizing therapeutic interventions in psychiatric care.
| Original language | English |
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| Title of host publication | Brain Informatics - 17th International Conference, BI 2024, Proceedings |
| Editors | Sirawaj Itthipuripat, Giorgio A. Ascoli, Anan Li, Narun Pat, Hongzhi Kuai |
| Publisher | Springer Science and Business Media B.V. |
| Pages | 20-34 |
| Number of pages | 15 |
| ISBN (Print) | 9789819632930 |
| DOIs | |
| Publication status | Published Online - 2 Apr 2025 |
| Event | 17th International Conference on Brain Informatics, BI 2024 - Bangkok, Thailand Duration: 13 Dec 2024 → 15 Dec 2024 |
Publication series
| Series | Lecture Notes in Computer Science |
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| Volume | 15541 LNAI |
| ISSN | 0302-9743 |
Conference
| Conference | 17th International Conference on Brain Informatics, BI 2024 |
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| Country/Territory | Thailand |
| City | Bangkok |
| Period | 13/12/24 → 15/12/24 |
Funding
This study was funded by the Saint Petersburg State University, Saint Petersburg, Russia State (grant number 94030803), the Pavlov Institute of Physiology, Russian Academy of Sciences (grant number 1021062411782-5-3.1.8).
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- General Computer Science