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Jordan, G. A.

Publications and source records attributed to Jordan, G. A..

2 recordsLinked to original sources

Opposing responses of hippocampal theta oscillations to running and a forelimb-dominated sensorimotor behavior

Hippocampal theta oscillations regulate the timing of neurons to support navigation, memory formation, and sensorimotor integration. Theta is modulated by running speed, breathing, whisking, and jumping and increases in tasks involving memory encoding or retrieval. The positive relationship between theta frequency and running speed is believed stabilize hippocampal representations of space amid movement variability. Here, we incorporated a novel string-pulling task to determine if established relationships between movement and theta hold when progress to a reward is determined by the length of string pulled. This task eliminates many speed-associated inputs, such vestibular, visual, and hindlimb information, and allows an unprecedented level of precision in the analysis of individual paw movements. Given that animals move the string a fixed length to acquire a reward, we predicted that the positive relationship between theta frequency and speed would hold. ApproachFive Sprague Dawley rats (4 mo.) were trained to continuously pull a string a fixed distance of 208 cm using an automated string-pulling system and run on a track for food reward. Local-field data was acquired from electrodes in dorsal CA1. ResultsRelationships between theta and movement speed were distinct during string pulling and running. While theta was robust in both conditions, frequency was significantly reduced during string-pulling and showed no speed-frequency coupling, unlike running. This difference could result from the conflict between hindlimb and forelimb signals, with only forelimb movement signaling advancement. Fine-grained analysis of paw movements during string-pulling (lift, advance, grasp, pull, push) revealed that theta power and frequency peaked during the contralateral paws downward push despite paw speed being low during this action. This suggests that theta frequency and power could respond to effort rather than purely kinematic information. Notably, running-associated theta may similarly reflect both speed and effort as most locomotor tasks conflate these variables. Finally, theta phase aligned from one reach-pull cycle to the next during the downward pull motion - the first action that directly advances the string forward. Since phase-locking has been associated with sensorimotor gating, synchrony at this point could reflect the gating of inputs that are the most causally relevant for reaching the reward, potentially facilitating integration of action-outcome signals for memory encoding and navigation. Taken together, these data support a dual-scale view of hippocampal processing and theta-band activity where macroscale theta activity requires suprathreshold sensory, vestibular, and proprioceptive drive and microscale theta remains sensitive to subsecond limb movements.

neuroscience↗

Automated system for training and assessing string-pulling behaviors in rodents

String-pulling tasks have been used for centuries to study coordinated bimanual motor behavior and problem solving. String pulling is rapidly learned, ethologically grounded, and has been applied to many species and disease conditions. Typically, training of string-pulling behaviors is achieved through manual shaping and baiting. Furthermore, behavioral assessment of reaching, grasping, and pulling is often performed through labor intensive manual video scoring. No system, to our knowledge, currently exists for the automated shaping and assessment of string-pulling behaviors. Here we describe the PANDA system (Pulling And Neural Data Analysis), an inexpensive hardware and software system that utilizes a continuous string loop connected to a rotary encoder, feeder, microcontroller, high-speed camera, and analysis software for assessment and training of string-pulling behaviors and synchronization with neural recording data. We demonstrate this system in unimplanted rats and rats implanted with electrodes in motor cortex and hippocampus and show how the PANDA system can be used to assess relationships between paw movements and single-unit and local-field activity. We also found that automating the shaping procedure significantly improved overall performance, with rats regularly pulling >100 meters during a 15-minute session. In conclusion, the PANDA system will be of general use to researchers investigating motor control, motivation, and motor disorders such as Parkinsons disease, Huntingtons disease, and stroke. It will also support the investigation of neural mechanisms involved in sensorimotor integration. HighlightsO_LIHigh-speed tracking of continuous grasping and pulling behaviors. C_LIO_LIAutomated and adaptive reinforcement of string-pulling behavior. C_LIO_LIIntegration with neural recording and video tracking systems. C_LIO_LIOpen-source software and hardware. C_LI Supplemental FilesThe supplemental pdf contains additional designs and behavioral data and has been uploaded. Source code and 3D and laser cut design files can be found at: https://github.com/CowenLab/String_Pulling_System/ Videos are in the GitHub repository at: https://github.com/CowenLab/String_Pulling_System/tree/main/Videos

bioengineering↗