High-Throughput Task to Study Memory Recall During Spatial Navigation in Rodents
Spatial navigation is one of the most frequently used behavioral paradigms to study memory formation in rodents. Commonly used tasks to study memory are labor-intensive, preventing the simultaneous testing of multiple animals with the tendency to yield a low number of trials, curtailing the statisti...
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2020-05-01
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doaj-6bdbdf6c41eb4ff4ad7c8c7ff20d8e572020-11-25T02:41:59ZengFrontiers Media S.A.Frontiers in Behavioral Neuroscience1662-51532020-05-011410.3389/fnbeh.2020.00064523899High-Throughput Task to Study Memory Recall During Spatial Navigation in RodentsLucia Morales0David P. Tomàs1Josep Dalmau2Josep Dalmau3Josep Dalmau4Josep Dalmau5Jaime de la Rocha6Pablo E. Jercog7Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, SpainInstitut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, SpainInstitut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, SpainNeuroimmunology Program, IDIBAPS-Hospital Clinic, Universitat de Barcelona, Barcelona, SpainDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United StatesCatalan Institution for Research and Advanced Studies, Barcelona, SpainInstitut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, SpainInstitut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, SpainSpatial navigation is one of the most frequently used behavioral paradigms to study memory formation in rodents. Commonly used tasks to study memory are labor-intensive, preventing the simultaneous testing of multiple animals with the tendency to yield a low number of trials, curtailing the statistical power. Moreover, they are not tailored to be combined with neurophysiology recordings because they are not based on overt stereotyped behavioral responses that can be precisely timed. Here we present a novel task to study long-term memory formation and recall during spatial navigation. The task consists of learning sessions during which mice need to find the rewarding port that changes from day to day. Hours after learning, there is a recall session during which mice search for the location of the memorized rewarding port. During the recall sessions, the animals repeatedly poke the remembered port over many trials (up to ∼20) without receiving a reward (i.e., no positive feedback) as a readout of memory. In this task, mice show memory of port locations learned on up to three previous days. This eight-port maze task requires minimal human intervention, allowing for simultaneous and unsupervised testing of several mice in parallel, yielding a high number of recall trials per session over many days, and compatible with recordings of neural activity.https://www.frontiersin.org/article/10.3389/fnbeh.2020.00064/fullspatial navigation and memorycorrelation between neuronal activity and behaviorsingle-session memory testfreely-moving calcium imaging recordingsdata output for machine-learning algorithms analysis toolshigh-throughput experimentation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lucia Morales David P. Tomàs Josep Dalmau Josep Dalmau Josep Dalmau Josep Dalmau Jaime de la Rocha Pablo E. Jercog |
spellingShingle |
Lucia Morales David P. Tomàs Josep Dalmau Josep Dalmau Josep Dalmau Josep Dalmau Jaime de la Rocha Pablo E. Jercog High-Throughput Task to Study Memory Recall During Spatial Navigation in Rodents Frontiers in Behavioral Neuroscience spatial navigation and memory correlation between neuronal activity and behavior single-session memory test freely-moving calcium imaging recordings data output for machine-learning algorithms analysis tools high-throughput experimentation |
author_facet |
Lucia Morales David P. Tomàs Josep Dalmau Josep Dalmau Josep Dalmau Josep Dalmau Jaime de la Rocha Pablo E. Jercog |
author_sort |
Lucia Morales |
title |
High-Throughput Task to Study Memory Recall During Spatial Navigation in Rodents |
title_short |
High-Throughput Task to Study Memory Recall During Spatial Navigation in Rodents |
title_full |
High-Throughput Task to Study Memory Recall During Spatial Navigation in Rodents |
title_fullStr |
High-Throughput Task to Study Memory Recall During Spatial Navigation in Rodents |
title_full_unstemmed |
High-Throughput Task to Study Memory Recall During Spatial Navigation in Rodents |
title_sort |
high-throughput task to study memory recall during spatial navigation in rodents |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Behavioral Neuroscience |
issn |
1662-5153 |
publishDate |
2020-05-01 |
description |
Spatial navigation is one of the most frequently used behavioral paradigms to study memory formation in rodents. Commonly used tasks to study memory are labor-intensive, preventing the simultaneous testing of multiple animals with the tendency to yield a low number of trials, curtailing the statistical power. Moreover, they are not tailored to be combined with neurophysiology recordings because they are not based on overt stereotyped behavioral responses that can be precisely timed. Here we present a novel task to study long-term memory formation and recall during spatial navigation. The task consists of learning sessions during which mice need to find the rewarding port that changes from day to day. Hours after learning, there is a recall session during which mice search for the location of the memorized rewarding port. During the recall sessions, the animals repeatedly poke the remembered port over many trials (up to ∼20) without receiving a reward (i.e., no positive feedback) as a readout of memory. In this task, mice show memory of port locations learned on up to three previous days. This eight-port maze task requires minimal human intervention, allowing for simultaneous and unsupervised testing of several mice in parallel, yielding a high number of recall trials per session over many days, and compatible with recordings of neural activity. |
topic |
spatial navigation and memory correlation between neuronal activity and behavior single-session memory test freely-moving calcium imaging recordings data output for machine-learning algorithms analysis tools high-throughput experimentation |
url |
https://www.frontiersin.org/article/10.3389/fnbeh.2020.00064/full |
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