Kraeuter, Ann-Katrin (2023) The use of integrated behavioural z-scoring in behavioural neuroscience: A perspective article. Journal of Neuroscience Methods, 384. p. 109751. ISSN 0165-0270
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Abstract
Complex pathophysiology in psychiatric disorders results in difficulties interpreting pre-clinical data. Guilloux et al. (2011b), proposed an integrated behavioural z-scoring procedure to improve the predictive validity of animal models by converging evidence similarly used to diagnose mental health conditions in humans. Here, I set out to give a brief review of the current methodology and literature using integrated behavioural z-scoring. Secondly, I will discuss the benefits and downfalls of integrated behavioural z-scoring and its potential future applications. Integrated behavioural z-scoring is a methodology used most frequently within animal models of depression and anxiety. Here, I am suggesting broadening the application of integrated behavioural z-scoring beyond the field of depression and anxiety to a three-step methodology to obtain disease-specific behavioural z-scores (i.e Schizophrenia index, Alzheimer's disease index) to aid translatability and interpretation of data. Lastly, I suggest integrating not only behaviour but also biological variables to create converging psychological and physiological evidence to sustain face and construct validity, while improving predict validity.
Item Type: | Article |
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Uncontrolled Keywords: | Behavioural neuroscience, Behavioural testing, Converging evidence, Emotionality z-score, Integrated behavioural z-score, Neurodegenerative, Neurodevelopmental, Pathology, Schizophrenia, Three-step methodology, Translatability |
Subjects: | C800 Psychology |
Department: | Faculties > Health and Life Sciences > Psychology |
Depositing User: | Rachel Branson |
Date Deposited: | 23 Nov 2022 12:22 |
Last Modified: | 20 Jan 2023 11:45 |
URI: | https://nrl.northumbria.ac.uk/id/eprint/50712 |
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