Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Is there a criterion in criterial learning? Insights from studying feedback delays.

Journal of experimental psychology. Learning, memory, and cognition·2026
Same author

A Person-Centred Approach to Explaining Diagnosis and Treatment in Surgeon-Patient Consultations.

Health communication·2026
Same author

Context Versus Aiming Under Uncertainty When Both Feedforward and Feedback Control Are Engaged.

Journal of motor behavior·2025
Same author

Natural orifice specimen extraction for diverticular disease: technique, outcomes and role of inflammatory markers.

Surgical endoscopy·2025
Same author

Letter to the Editor (Yanik et al. 2024).

Journal of robotic surgery·2024
Same author

Error-independent effect of sensory uncertainty on motor learning when both feedforward and feedback control processes are engaged.

PLoS computational biology·2023

Related Experiment Video

Updated: Jun 20, 2025

An Anatomical Study of Nerves at Risk During Minimally Invasive Hallux Valgus Surgery
15:04

An Anatomical Study of Nerves at Risk During Minimally Invasive Hallux Valgus Surgery

Published on: February 17, 2018

11.7K

Sensorimotor Challenges in Minimally Invasive Surgery: A Theoretically-Oriented Review.

Christopher L Hewitson1, Matthew J Crossley2, John Cartmill2

  • 1Yale University, USA.

Human Factors
|July 22, 2024
PubMed
Summary
This summary is machine-generated.

This review addresses sensorimotor challenges in laparoscopic minimally invasive surgery (MIS). A new taxonomy and computational motor learning framework help researchers understand and overcome these performance barriers for better surgical training and outcomes.

Keywords:
medical simulation/training and assessmentmotor controlmotor learningperformancesensorimotor-adaptationsimulation and trainingskilledsurgical training

More Related Videos

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
06:24

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

Published on: May 11, 2020

8.8K
A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique
05:57

A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique

Published on: January 6, 2023

2.3K

Related Experiment Videos

Last Updated: Jun 20, 2025

An Anatomical Study of Nerves at Risk During Minimally Invasive Hallux Valgus Surgery
15:04

An Anatomical Study of Nerves at Risk During Minimally Invasive Hallux Valgus Surgery

Published on: February 17, 2018

11.7K
A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
06:24

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

Published on: May 11, 2020

8.8K
A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique
05:57

A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique

Published on: January 6, 2023

2.3K

Area of Science:

  • Surgical Performance and Technology
  • Medical Education
  • Robotics and Automation

Background:

  • Minimally invasive surgery (MIS) offers patient benefits but presents surgeon challenges like altered visuals and instrument handling.
  • Existing research on sensorimotor challenges in MIS is fragmented by imprecise terminology and lack of a unified theoretical framework.
  • These limitations hinder progress in understanding and addressing critical factors affecting surgical proficiency.

Purpose of the Study:

  • To systematically survey the literature on sensorimotor challenges impacting laparoscopic minimally invasive surgery (MIS) performance.
  • To propose a standardized taxonomy for categorizing experimental paradigms in MIS sensorimotor research.
  • To introduce a computational motor learning perspective as a unifying theoretical framework for the field.

Main Methods:

  • Conducted a systematic literature survey focusing on sensorimotor challenges in laparoscopic MIS.
  • Developed and applied a novel taxonomy to categorize diverse sensorimotor perturbations identified in the literature.
  • Analyzed studies based on monitor-, camera-, and tool-based perturbations and their performance impacts.

Main Results:

  • Identified and categorized a wide range of sensorimotor perturbations affecting laparoscopic surgical performance.
  • Demonstrated the impact of monitor-, camera-, and tool-based perturbations on surgical outcomes.
  • Showcased how the computational motor learning framework provides insights for mitigating these challenges.

Conclusions:

  • Sensorimotor challenges significantly affect MIS performance, requiring systematic, evidence-based approaches.
  • The proposed taxonomy and computational motor learning framework offer structure for future research and training.
  • These insights can improve surgical training curricula and operating room setups, enhancing surgeon performance and patient outcomes.