An Open-Source Joystick Platform for Investigating Forelimb Motor Control, Auditory-Motor Integration, and Value-Based Decision-Making in Head-Fixed Mice

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Publicado en:bioRxiv (Jan 23, 2025)
Autor principal: Linares-Garcia, Ivan
Otros Autores: Iliakis, Evan A, Juliani, Sofia E, Ramirez, Alexandra N, Woolley, Joel, Diaz-Hernandez, Edgar, Fuccillo, Marc V, Margolis, David J
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Cold Spring Harbor Laboratory Press
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Acceso en línea:Citation/Abstract
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024 7 |a 10.1101/2025.01.23.634598  |2 doi 
035 |a 3158976015 
045 0 |b d20250123 
100 1 |a Linares-Garcia, Ivan 
245 1 |a An Open-Source Joystick Platform for Investigating Forelimb Motor Control, Auditory-Motor Integration, and Value-Based Decision-Making in Head-Fixed Mice 
260 |b Cold Spring Harbor Laboratory Press  |c Jan 23, 2025 
513 |a Working Paper 
520 3 |a Investigation of neural processes underlying motor control requires behavioral readouts that capture the richness of actions, including both categorical (choice-based) information and motor execution (kinematics). We present an open-source platform for behavioral training of head-fixed mice that combines a stationary or retractable forelimb-based joystick, sound-presentation system, capacitive lick sensor, and water reward dispenser. The setup allows for the creation of multiple behavioral paradigms, two of which are highlighted here: a two-alternative forced-choice auditory-motor discrimination paradigm, and a two-armed bandit value-based decision-making task. In the auditory-motor paradigm, mice learn to report high or low frequency tones by pushing or pulling the joystick. In the value-based paradigm, mice learn to push or pull the joystick based on the history of rewarded trials. In addition to reporting categorical choices, this setup provides a rich dataset of motor parameters that reflect components of the underlying learning and decision processes in both of these tasks. These kinematic parameters (including joystick speed and displacement, Frechet similarity of trajectories, tortuosity, angular standard deviation, and movement vigor) provide key additional insights into the motor execution of choices that are not as readily assessed in other paradigms. The systems flexibility of task design, joystick readout, and ease of construction represent an advance compared to currently available manipulandum tasks in mice. We provide detailed schematics for constructing the setup and protocols for behavioral training using both paradigms, with the hope that this open-source resource is readily adopted by neuroscientists interested in mechanisms of sensorimotor integration, motor control, and choice behavior.Competing Interest StatementThe authors have declared no competing interest. 
653 |a Mental task performance 
653 |a Kinematics 
653 |a Limbs 
653 |a Hearing 
653 |a Motor skill learning 
653 |a Paradigms 
653 |a Sensorimotor integration 
653 |a Auditory discrimination 
653 |a Motor task performance 
653 |a Decision making 
700 1 |a Iliakis, Evan A 
700 1 |a Juliani, Sofia E 
700 1 |a Ramirez, Alexandra N 
700 1 |a Woolley, Joel 
700 1 |a Diaz-Hernandez, Edgar 
700 1 |a Fuccillo, Marc V 
700 1 |a Margolis, David J 
773 0 |t bioRxiv  |g (Jan 23, 2025) 
786 0 |d ProQuest  |t Biological Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3158976015/abstract/embedded/CH9WPLCLQHQD1J4S?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u https://www.biorxiv.org/content/10.1101/2025.01.23.634598v1