Different attentional abilities among inbred mice strains using virtual object recognition task (VORT): SNAP25(+/-) mice as a model of attentional deficit

@article{ ISI:000366079100049,
Author = {Braida, Daniela and Ponzoni, Luisa and Matteoli, Michela and Sala,
   Mariaelvina M.},
Title = {{Different attentional abilities among inbred mice strains using virtual
   object recognition task (VORT): SNAP25(+/-) mice as a model of
   attentional deficit}},
Journal = {{BEHAVIOURAL BRAIN RESEARCH}},
Year = {{2016}},
Volume = {{296}},
Pages = {{393-400}},
Month = {{JAN 1}},
Abstract = {{Autism spectrum disorder (ASD), attention-deficit hyperactivity disorder
   (ADHD), schizophrenia, Alzheimer's and Parkinson's disease are
   characterized by attentional deficits. In the present study we first
   applied the virtual object recognition test (VORT), where 3D objects
   were replaced with highly discriminated geometrical shapes and presented
   on two 3.5-inch widescreen displays, in different inbred mice strains
   (C57BL/6N, DBA/2J, BALB/cJ), in comparison with the standard object
   recognition test (NOR). In both NOR and VORT, there was a progressive
   decay of performance in terms of reduced discrimination index from 5 min
   to 72 h of inter-trial delay in all strains. However, BALB/cJ inbred
   mice showed a better long lasting performance than C57BL/6N and DBA/2J,
   when tested in NOR. In VORT, BALB/cJ showed the best performance. Total
   exploration time was always higher in BALB/cJ than C57BL/6N and DBA/2J
   mice. C57BL/6N were less explorative strain than DBA/2J and BALB/cJ
   mice. When VORT was applied to SNAP-25(+/-) mice, an impairment in both
   NOR and VORT was shown. However, when moving shapes were applied, these
   heterozygous mice improved their performance, suggesting that the
   introduction of motion is a strong cue that makes the task more valuable
   to study attention deficits. Taken together, these data indicate that
   VORT provides a useful and rapid tool to identify the attentional
   deficit in different inbred strains and genetically modified mice,
   enhancing the value of psychiatric mouse models. (C) 2015 Elsevier B.V.
   All rights reserved.}},
Publisher = {{ELSEVIER}},
Address = {{RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Sala, MM (Corresponding Author), Univ Milan, Dipartimento Biotecnol Med & Med Traslaz, Via Vanvitelli 32, I-20129 Milan, Italy.
   Braida, Daniela; Ponzoni, Luisa; Sala, Mariaelvina M., Univ Milan, Dipartimento Biotecnol Med & Med Traslaz, I-20129 Milan, Italy.
   Braida, Daniela, Fdn Don Gnocchi IRCCS, Milan, Italy.
   Matteoli, Michela; Sala, Mariaelvina M., CNR, Inst Neurosci, I-20129 Milan, Italy.
   Matteoli, Michela, Humanitas Res Hosp, Milan, Italy.}},
DOI = {{10.1016/j.bbr.2015.08.016}},
ISSN = {{0166-4328}},
EISSN = {{1872-7549}},
Keywords = {{Inbred mice; Visual attention; Novel object recognition; Visual object
   recognition; Shapes movement; SNAP-25}},
Keywords-Plus = {{AUTISM SPECTRUM DISORDERS; SNAP-25 GENE; LEARNED IRRELEVANCE; COGNITIVE
   DEFICITS; MOUSE STRAINS; POLYMORPHISMS; HYPERACTIVITY; PERFORMANCE;
   DISCRIMINATION; ASSOCIATION}},
Research-Areas = {{Behavioral Sciences; Neurosciences & Neurology}},
Web-of-Science-Categories  = {{Behavioral Sciences; Neurosciences}},
Author-Email = {{mariaelvina.sala@unimi.it}},
ResearcherID-Numbers = {{Sala, Mariaelvina/AAF-6469-2019
   Matteoli, Michela/K-4526-2018
   }},
ORCID-Numbers = {{Matteoli, Michela/0000-0002-3569-7843
   sala, mariaelvina/0000-0001-9310-958X}},
Funding-Acknowledgement = {{Italian Ministry of HealthMinistry of Health, Italy {[}RF-2009-1545998]}},
Funding-Text = {{This work was supported by the Italian Ministry of Health
   (RF-2009-1545998 to MM and MS). We thank Dr. Giuseppe Trigiante for
   review of English.}},
Number-of-Cited-References = {{53}},
Times-Cited = {{9}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{11}},
Journal-ISO = {{Behav. Brain Res.}},
Doc-Delivery-Number = {{CY0EL}},
Unique-ID = {{ISI:000366079100049}},
DA = {{2020-12-22}},
}