Literature DB >> 28807409

A decade of imaging surgeons' brain function (part I): Terminology, techniques, and clinical translation.

Hemel Narendra Modi1, Harsimrat Singh1, Guang-Zhong Yang2, Ara Darzi3, Daniel Richard Leff4.   

Abstract

BACKGROUND: Functional neuroimaging has the potential to deepen our understanding of technical and nontechnical skill acquisition in surgeons, particularly as established assessment tools leave unanswered questions about inter-operator differences in ability that seem independent of experience.
METHODS: In this first of a 2-part article, we aim to utilize our experience in neuroimaging surgeons to orientate the nonspecialist reader to the principles of brain imaging. Terminology commonly used in brain imaging research is explained, placing emphasis on the "activation response" to an surgical task and its effect on local cortical hemodynamic parameters (neurovascular coupling).
RESULTS: Skills learning and subsequent consolidation and refinement through practice lead to reorganization of the functional architecture of the brain (known as "neuroplasticity"), evidenced by changes in the strength of regional activation as well as alterations in connectivity between brain regions, culminating in more efficient use of neural resources during task performance.
CONCLUSION: Currently available neuroimaging techniques that either directly (ie, measure electrical activity) or indirectly (ie, measure tissue hemodynamics) assess brain function are discussed. Finally, we highlight the important practical considerations when conducting brain imaging research in surgeons.
Copyright © 2017 Elsevier Inc. All rights reserved.

Mesh:

Year:  2017        PMID: 28807409     DOI: 10.1016/j.surg.2017.05.021

Source DB:  PubMed          Journal:  Surgery        ISSN: 0039-6060            Impact factor:   3.982


  7 in total

1.  Functional Brain Imaging Reliably Predicts Bimanual Motor Skill Performance in a Standardized Surgical Task.

Authors:  Yuanyuan Gao; Pingkun Yan; Uwe Kruger; Lora Cavuoto; Steven Schwaitzberg; Suvranu De; Xavier Intes
Journal:  IEEE Trans Biomed Eng       Date:  2021-06-18       Impact factor: 4.756

2.  Depth-resolved assessment of changes in concentration of chromophores using time-resolved near-infrared spectroscopy: estimation of cytochrome-c-oxidase uncertainty by Monte Carlo simulations.

Authors:  Aleh Sudakou; Stanislaw Wojtkiewicz; Frédéric Lange; Anna Gerega; Piotr Sawosz; Ilias Tachtsidis; Adam Liebert
Journal:  Biomed Opt Express       Date:  2019-08-16       Impact factor: 3.732

Review 3.  A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance.

Authors:  Frédéric Dehais; Alex Lafont; Raphaëlle Roy; Stephen Fairclough
Journal:  Front Neurosci       Date:  2020-04-07       Impact factor: 4.677

4.  Performance Monitoring via Functional Near Infrared Spectroscopy for Virtual Reality Based Basic Life Support Training.

Authors:  Emin Aksoy; Kurtulus Izzetoglu; Engin Baysoy; Atahan Agrali; Dilek Kitapcioglu; Banu Onaral
Journal:  Front Neurosci       Date:  2019-12-12       Impact factor: 4.677

5.  Functional brain connectivity related to surgical skill dexterity in physical and virtual simulation environments.

Authors:  Arun Nemani; Anil Kamat; Yuanyuan Gao; Meryem Yucel; Denise Gee; Clairice Cooper; Steven Schwaitzberg; Xavier Intes; Anirban Dutta; Suvranu De
Journal:  Neurophotonics       Date:  2021-03-03       Impact factor: 3.593

Review 6.  Use of neuroimaging to measure neurocognitive engagement in health professions education: a scoping review.

Authors:  Serkan Toy; Dana D Huh; Joshua Materi; Julie Nanavati; Deborah A Schwengel
Journal:  Med Educ Online       Date:  2022-12

7.  Assessing bimanual motor skills with optical neuroimaging.

Authors:  Arun Nemani; Meryem A Yücel; Uwe Kruger; Denise W Gee; Clairice Cooper; Steven D Schwaitzberg; Suvranu De; Xavier Intes
Journal:  Sci Adv       Date:  2018-10-03       Impact factor: 14.136

  7 in total

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