Biology subjects

Guo, J.-Z.

Publications and source records attributed to Guo, J.-Z..

4 recordsLinked to original sources

bioRxiv2025

Selective coupling and decoupling coordinate distributed brain networks for precise action

The precise and rapid nature of skilled actions has motivated a long-standing theory that preparatory neural states must emerge to enable upcoming actions. This has been best characterized in motor cortex, where neural activity evolves toward an initial state that governs subsequent cortical dynamics. Yet complex actions require coordination across multiple areas beyond motor cortex, and how this distributed network prepares remains unknown. We recorded over 40,000 neurons across the brain as mice produced skilled reach-to-grasp actions, revealing selective coupling of action-informative neurons and decoupling of non-informative neurons over a longer timescale and across a broader network than typically associated with motor preparation. These dynamics predicted upcoming action quality and neural activity on individual trials, and performance was impaired when trials were initiated before coupling and decoupling emerged. Two local field potential rhythms organized these dynamics, providing a target for optogenetic intervention that bidirectionally altered action quality. Our work reveals a distributed preparatory process in which selective coupling and decoupling establish a network state that enables skilled action.

neuroscience↗

bioRxiv2025

Evolutionary expansion of the corticospinal system is linked to dexterity in Peromyscus mice

While the central nervous system is perpetually reshaped by evolution, the principles governing how such changes promote ecologically relevant behaviors without breaking established functions are poorly understood. The expansion of neuron number is a potential mechanism by which the nervous system evolves to support changes in behavior without disrupting existing circuit function. Corticospinal neurons (CSNs) are a classic example: an expansion in the corticospinal system in the primate lineage has been hypothesized to underlie their exceptional dexterity. However, the role of CSN number in behavior has been difficult to assess due to the lack of a tractable model system. We compared two closely related subspecies of deer mice (Peromyscus maniculatus): forest mice, which evolved the ability to adeptly climb, presumably to support a semi-arboreal lifestyle, and prairie mice, which are less proficient climbers. We find that forest mice have about two-fold larger corticospinal tracts (CSTs) driven by an increase in CSN number in secondary motor and sensory cortical areas (M2 and S2). Furthermore, forest mice display greater manual dexterity than their prairie counterparts in a reach-to-grasp task, consistent with the idea that an increase in CSN number supports more dexterous behavior. High-throughput neural recordings during this task revealed a difference in the timing of neural activity between forest and prairie mice, specifically in M2: in forest mice, the peak of activity was shifted towards the grasping phase of the behavior. Forest mice also outperform their prairie counterparts on an ecologically relevant climbing task, where they spend more time upright crossing a thin rod, move faster, and right themselves more quickly when they fall, suggesting a general difference in motor dexterity not restricted to hand use. Finally, we use F2 hybrid animals to show that CST size is correlated with climbing dexterity, providing support for the long-standing hypothesis that corticospinal system expansion supports the evolution of dexterity. Together, our work establishes the forest-prairie deer mouse system as a model to investigate the role of neuron number expansion, and CSNs in particular, in dexterous movement.

neuroscience↗

bioRxiv2019

The Pontine Nuclei are an Integrative Cortico-Cerebellar Link Critical for Dexterity

Skillful control of movement requires coordination between brain areas that are reciprocally connected through polysynaptic pathways, forming closed loops. A prominent loop in mammals runs between cerebral cortex and cerebellum, which individually contribute to skilled arm control. But how and why do these regions interact? Here, we studied the mouse cortico-cerebellar loop by optogenetically perturbing the pontine nuclei (PN), which receive direct cortical inputs and project only to cerebellum. PN stimulation during rest propagated into cerebellar cortex, but the effect of stimulation was transformed downstream into a wide range of patterns in the deep cerebellar nuclei (DCN) and reduced to transient excitation in motor cortex. PN stimulation in a cued reaching task altered arm kinematics and impaired performance. Cerebellar and cortical dynamics during movement were not dominated by PN stimulation, but altered in line with behavioral changes. These results suggest that the cortico-cerebellar loop fine-tunes motor commands during skilled reaching.

neuroscience↗

bioRxiv2018

The cortical dynamics orchestrating skilled prehension

Skillful control of movement is central to our ability to sense and manipulate the world. A large body of work in nonhuman primates has demonstrated that motor cortex provides flexible, time-varying activity patterns that control the arm during reaching and grasping. Previous studies have suggested that these patterns are generated by strong local recurrent dynamics operating autonomously from inputs during movement execution. An alternative possibility is that motor cortex requires coordination with upstream brain regions throughout the entire movement in order to yield these patterns. Here, we developed an experimental preparation in the mouse to directly test these possibilities using optogenetics and electrophysiology during a skilled reach-to-grab-to-eat task. To validate this preparation, we first established that a specific, time-varying pattern of motor cortical activity was required to produce coordinated movement. Next, in order to disentangle the contribution of local recurrent motor cortical dynamics from external input, we optogenetically held the recurrent contribution constant, then observed how motor cortical activity recovered following the end of this perturbation. Both the neural responses and hand trajectory varied from trial to trial, and this variability reflected variability in external inputs. To directly probe the role of these inputs, we used optogenetics to perturb activity in the thalamus. Thalamic perturbation at the start of the trial prevented movement initiation, and perturbation at any stage of the movement prevented progression of the hand to the target; this demonstrates that input is required throughout the movement. By comparing motor cortical activity with and without thalamic perturbation, we were able to estimate the effects of external inputs on motor cortical population activity. Thus, unlike pattern-generating circuits that are local and autonomous, such as those in the spinal cord that generate left-right alternation during locomotion, the pattern generator for reaching and grasping is distributed across multiple, strongly-interacting brain regions.

neuroscience↗