Sequential reversal learning: a new touchscreen schedule for assessing cognitive flexibility in mice

Author(s):  
Anna U. Odland ◽  
Rune Sandahl ◽  
Jesper T. Andreasen
2017 ◽  
Vol 117 ◽  
pp. 219-226 ◽  
Author(s):  
Ariel Zeleznikow-Johnston ◽  
Emma L. Burrows ◽  
Thibault Renoir ◽  
Anthony J. Hannan

2020 ◽  
Vol 87 (9) ◽  
pp. S460
Author(s):  
Rachel Taylor ◽  
Larry Simmons ◽  
Emily Scott ◽  
Matthew May ◽  
Boris Ngouajio ◽  
...  

2012 ◽  
Vol 8 (4S_Part_6) ◽  
pp. P210-P210 ◽  
Author(s):  
Anne Marie Hernier ◽  
Stephanie Paillard ◽  
Vincent Castagne ◽  
David Virley

Author(s):  
Lauren M. Schmitt ◽  
John A. Sweeney ◽  
Craig A. Erickson ◽  
Rebecca Shaffer

AbstractCognitive flexibility deficits are a hallmark feature of autism spectrum disorder (ASD), but few evidence-based behavioral interventions have successfully addressed this treatment target. Outcome measurement selection may help account for previous findings. The probabilistic reversal learning task (PRL) is a measure of cognitive flexibility previously validated for use in ASD, but its use as an outcome measure has not yet been assessed. The current study examined the feasibility, reproducibility, and sensitivity of PRL in a within-subjects trial of Regulating Together, a group-based intervention targeting emotion regulation. We demonstrated the PRL is highly feasible, showed test–retest reproducibility, and is sensitive to detect change following the intervention. Our findings demonstrate the PRL task may be a useful outcome measure of cognitive flexibility in future intervention trials in ASD.


2021 ◽  
Author(s):  
Brendan Williams ◽  
Anastasia Christakou

Cognitive flexibility is essential for enabling an individual to respond adaptively to changes in their environment. Evidence from human and animal research suggests that the control of cognitive flexibility is dependent on an array of neural architecture. Cortico-basal ganglia circuits have long been implicated in cognitive flexibility. In particular, the role of the striatum is pivotal, acting as an integrative hub for inputs from the prefrontal cortex and thalamus, and modulation by dopamine and acetylcholine. Striatal cholinergic modulation has been implicated in the flexible control of behaviour, driven by input from the centromedian-parafascicular nuclei of the thalamus. However, the role of this system in humans is not clearly defined as much of the current literature is based on animal work. Here, we aim to investigate the roles corticostriatal and thalamostriatal connectivity in serial reversal learning. Functional connectivity between the left centromedian-parafascicular nuclei and the associative dorsal striatum was significantly increased for negative feedback compared to positive feedback. Similar differences in functional connectivity were observed for the right lateral orbitofrontal cortex, but these were localised to when participants switched to using an alternate response strategy following reversal. These findings suggest that connectivity between the centromedian-parafascicular nuclei and the striatum may be used to generally identify potential changes in context based on negative outcomes, and the effect of this signal on striatal output may be influenced by connectivity between the lateral orbitofrontal cortex and the striatum.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Céline Rochais ◽  
Hoël Hotte ◽  
Neville Pillay

AbstractCognitive flexibility describes the ability of animals to alter cognitively mediated behaviour in response to changing situational demands, and can vary according to prevailing environemental conditions and individual caracteristics. In the present study, we investigated (1) how learning and reversal learning performance changes between seasons, and (2) how cognitive flexibility is related to sex in a free-living small mammal. We studied 107 African striped mice, Rhabdomys pumilio, in an arid semi-desert, 58 during the hot dry summer with low food availability, and 49 during the cold wet winter with higher food availability. We used an escape box task to test for learning and reversal learning performance. We found that learning and reversal learning efficiency varied seasonally by sex: females tested in summer were faster at solving both learning and reversal tasks than males tested in winter. Performance varied within sex: males tested in winter showed faster learning compared to males tested in summer. During reversal learning, females tested in summer were more efficient and solve the task faster compared to females tested in winter. We suggest that seasonal cognitive performance could be related to sex-specific behavioural characteristics of the species, resulting in adaptation for living in harsh environmental conditions.


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