PhD Scientific Days 2020

Neurosciences I. Lectures

Trait or state anxiety: refined sampling methods of emotion-related behavior in rodent models

Előadó neve

Zoltán Kristóf, Varga

Előadó munkahelye

Institute of Experimental Medicine

Előadó telefonszáma

+36306654354

Előadó e-mail címe

varga.zoltan@koki.mta.hu

Az előadás címe

Trait or state anxiety: refined sampling methods of emotion-related behavior in rodent models

Szerző(k) neve és munkahelye

Zoltán K Varga1, Diána Pejtsik1, Zoltán Balogh1, Manó Aliczki1, Máté Tóth1, Éva Mikics1
1 Laboratory of Translational Behavioural Neuroscience, Department of Behavioural Neurobiology, Institute of Experimental Medicine, Budapest

Szekció

Neurosciences I. Lectures

Language of the presentation

English

Section, first choice

Neurosciences

Section, second choice

Theoretical and Translational Medicine

Összefoglaló szövege

Mental disorders, particularly those associated with anxiety represent a serious burden on both the individual and the society. Preclinical animal models are the predominant approaches to devise therapy, however, available tests more successfully describe populational features than traits of specific subjects, as indicated by their low inter-test correlations and intra-test predictions at the individual level. Thus, current indirect approaches to measure trait anxiety may be strongly biased by the permanently changing internal states of individuals.
Here, we present a novel approach, based on serial sampling of behavior, to reduce state-dependent variance and to refine the characterization of individual traits.
We conducted a four-time sampling series, applying the three most widely used anxiety tests for rodents, the elevated plus-maze, light-dark box and open-field, in a semi-random design, under neutral and highly aversive conditions and constructed summary measures (SuM) from the spatio-temporal and ethological readouts of the tests.
Principal component analysis revealed that SuMs, such as averages and slopes of avoidance behavior, explain greater proportion of the total variance of the data than single measures (SiM). In addition, SuMs, contrary to SiMs, show consistently higher, significant inter-test correlation and stronger predictive potential to the behavioral output of same type, as well as novel anxiety tests under aversive conditions.
We suggest that the appearance of such associations between SuMs of different test types and conditions support the idea of an emotional trait as a common drive of behavior in rodent anxiety tests that is measurable by the refined sampling method presented here.

Additional Information

Manó Aliczki
aliczki.mano@koki.mta.hu

Bemutatás módja

Szóbeli

Kind

Szabad

Status

elfogadva

Accepted presentation method

szóbeli

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

1423

Start

12:20

End

12:35

Authors (legacy)

Zoltán K Varga1, Diána Pejtsik1, Zoltán Balogh1, Manó Aliczki1, Máté Tóth1, Éva Mikics1
1 Laboratory of Translational Behavioural Neuroscience, Department of Behavioural Neurobiology, Institute of Experimental Medicine, Budapest