Robotic colorectal resections are associated with less postoperative pain, decreased opioid use, and earlier return to work as compared to the laparoscopic approach.

While robotic and laparoscopic surgeries are both minimally invasive in nature, they are intrinsically different approaches and it is critical to understand outcome differences between the two. Studies evaluating pain outcomes and opioid requirement differences between the robotic and laparoscopic colorectal resections are conflicting and often underpowered. In this retrospective, cohort study, we compare postoperative opioid requirements, reported as morphine milligram equivalents (MME), postoperative average and highest pain scores across postoperative days (POD) 0-5, and return to work in patients who underwent robotic versus laparoscopic colorectal resections. The sample size was selected based on power calculations. Daily pain scores and MME were used as outcomes in linear mixed effect models with unstructured covariance between time points. Propensity score weighting was used to adjust for imbalances. Patients in the robotic group required significantly less opioids as measured by MME on all postoperative days (p = 0.004), as well as lower average and highest daily pain scores for POD 0-5 (p = 0.02, and p = 0.006, respectively). In a linear mixed-effects model, robotic resections were associated with a decrease in average pain scores by 0.36 over time (p = 0.03) and 35 fewer MME requirements than the laparoscopic group (p = 0.0004). Patients in the robotic arm had earlier return to work (2.1 vs 3.8 days, p = 0.036). The robotic approach to colorectal resections is associated with significantly less postoperative pain, decreased opioid requirements, and earlier return to work when compared to laparoscopy, suggesting that the robotic platform provides important clinical advantages over the laparoscopic approach.

Functional architecture of intracellular oscillations in hippocampal dendrites.

Fast electrical signaling in dendrites is central to neural computations that support adaptive behaviors. Conventional techniques lack temporal and spatial resolution and the ability to track underlying membrane potential dynamics present across the complex three-dimensional dendritic arbor in vivo. Here, we perform fast two-photon imaging of dendritic and somatic membrane potential dynamics in single pyramidal cells in the CA1 region of the mouse hippocampus during awake behavior. We study the dynamics of subthreshold membrane potential and suprathreshold dendritic events throughout the dendritic arbor in vivo by combining voltage imaging with simultaneous local field potential recording, post hoc morphological reconstruction, and a spatial navigation task. We systematically quantify the modulation of local event rates by locomotion in distinct dendritic regions, report an advancing gradient of dendritic theta phase along the basal-tuft axis, and describe a predominant hyperpolarization of the dendritic arbor during sharp-wave ripples. Finally, we find that spatial tuning of dendritic representations dynamically reorganizes following place field formation. Our data reveal how the organization of electrical signaling in dendrites maps onto the anatomy of the dendritic tree across behavior, oscillatory network, and functional cell states.

Functional architecture of intracellular oscillations in hippocampal dendrites.

Fast electrical signaling in dendrites is central to neural computations that support adaptive behaviors. Conventional techniques lack temporal and spatial resolution and the ability to track underlying membrane potential dynamics present across the complex three-dimensional dendritic arbor in vivo. Here, we perform fast two-photon imaging of dendritic and somatic membrane potential dynamics in single pyramidal cells in the CA1 region of the mouse hippocampus during awake behavior. We study the dynamics of subthreshold membrane potential and suprathreshold dendritic events throughout the dendritic arbor in vivo by combining voltage imaging with simultaneous local field potential recording, post hoc morphological reconstruction, and a spatial navigation task. We systematically quantify the modulation of local event rates by locomotion in distinct dendritic regions and report an advancing gradient of dendritic theta phase along the basal-tuft axis, then describe a predominant hyperpolarization of the dendritic arbor during sharp-wave ripples. Finally, we find spatial tuning of dendritic representations dynamically reorganizes following place field formation. Our data reveal how the organization of electrical signaling in dendrites maps onto the anatomy of the dendritic tree across behavior, oscillatory network, and functional cell states.