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

References

• Antonenko PD, van Gog T, Paas F. Implications of neuroimaging for educational research, in Handbook of research on educational communications and technology. New York, NY: Springer; 2014. 51–63.
   Google Scholar
• Aggarwal R, Leong J, Leff D, et al. New technologies for the surgical curriculum. World J Surg. 2008;32(2):213–18.
   PubMed Web of Science ®Google Scholar
• Bhatt N, Morris M, O’Neil A, et al. When should surgeons retire? Br J Surg. 2016;103(1):35–42.
   PubMed Web of Science ®Google Scholar
• Modi HN, Singh H, Yang G-Z, et al. A decade of imaging surgeons’ brain function (part I): terminology, techniques, and clinical translation. Surgery. 2017;162(5):1121–1130.
   PubMed Web of Science ®Google Scholar
• Modi HN, Singh H, Yang GZ, et al. A decade of imaging surgeons’ brain function (part II): a systematic review of applications for technical and nontechnical skills assessment. Surgery (USA). 2017;162(5):1130–1139.
   Web of Science ®Google Scholar
• Leff DR, Leong JJH, Aggarwal R, et al. Could variations in technical skills acquisition in surgery be explained by differences in cortical plasticity? Ann Surg. 2008;247(3):540–543.
   PubMed Web of Science ®Google Scholar
• Thomas A, Lubarsky S, Varpio L, et al. Scoping reviews in health professions education: challenges, considerations and lessons learned about epistemology and methodology. Adv Health Sci Educ. 2019;24(1):1–14.
   PubMedGoogle Scholar
• Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32.
   Google Scholar
• Levac D, Colquhoun H, O’Brien KK. Scoping studies: advancing the methodology. Implement Sci. 2010;5(1):69.
   PubMed Web of Science ®Google Scholar
• Peters Md, Godfrey CM, Khalil H, et al. Guidance for conducting systematic scoping reviews. Int J Evid Based Healthc. 2015;13(3):141–146.
   PubMed Web of Science ®Google Scholar
• Tricco AC, Lillie E, Zarin W, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–473.
   PubMed Web of Science ®Google Scholar
• Wanzel KR, Anastakis DJ, McAndrews MP, et al. Visual-spatial ability and fMRI cortical activation in surgery residents. Am J Surg. 2007;193(4):507–510.
   PubMed Web of Science ®Google Scholar
• Leff DR, Elwell CE, Orihuela-Espina F, et al. Changes in prefrontal cortical behaviour depend upon familiarity on a bimanual co-ordination task: an fNIRS study. Neuroimage. 2008;39(2):805–813.
   PubMed Web of Science ®Google Scholar
• Leff DR, Orihuela-Espina F, Atallah L, et al. Functional prefrontal reorganization accompanies learning-associated refinements in surgery: a manifold embedding approach. Comput Aided Surg. 2008;13(6):325–339.
   PubMed Web of Science ®Google Scholar
• Ohuchida K, Kenmotsu H, Yamamoto A, et al. The frontal cortex is activated during learning of endoscopic procedures. Surg Endosc. 2009;23(10):2296–2301.
   PubMed Web of Science ®Google Scholar
• Leff DR, Orihuela-Espina F, Athanasiou T, et al. “Circadian cortical compensation”: a longitudinal study of brain function during technical and cognitive skills in acutely sleep-deprived surgical residents. Ann Surg. 2010;252(6):1082–1090.
   PubMed Web of Science ®Google Scholar
• Bahrami P, Schweizer TA, Tam F, et al. Functional MRI-compatible laparoscopic surgery training simulator. Magn Reson Med. 2011;65(3):873–881.
   PubMed Web of Science ®Google Scholar
• Downar J, Bhatt M, Montague PR. Neural correlates of effective learning in experienced medical decision-makers. PLoS One. 2011;6(11):e27768.
   PubMed Web of Science ®Google Scholar
• James DR, Orihuela-Espina F, Leff DR, et al. The ergonomics of natural orifice translumenal endoscopic surgery (NOTES) navigation in terms of performance, stress, and cognitive behavior. Surgery. 2011;149(4):525–533.
   PubMed Web of Science ®Google Scholar
• Kahol K, Smith M, Brandenberger J, et al. Impact of fatigue on neurophysiologic measures of surgical residents. J Am Coll Surg. 2011;213(1):29–34. discussion 34. 10.1016/j.jamcollsurg.2011.03.028.
   PubMed Web of Science ®Google Scholar
• Zhu FF, Poolton JM, Wilson MR, et al. Implicit motor learning promotes neural efficiency during laparoscopy. Surg Endosc. 2011;25(9):2950–2955.
   PubMed Web of Science ®Google Scholar
• Durning SJ, Graner J, Artino AR, et al. Using functional neuroimaging combined with a think-aloud protocol to explore clinical reasoning expertise in internal medicine. Mil Med. 2012;177(9 Suppl):72–78.
   PubMed Web of Science ®Google Scholar
• Duty B, Andonian S, Ma Y, et al. Correlation of laparoscopic experience with differential functional brain activation: a positron emission tomography study with oxygen 15–labeled water. Arch Surg. 2012;147(7):627–632.
   PubMedGoogle Scholar
• Bocci T, Moretto C, Tognazzi S, et al. How does a surgeon’s brain buzz? An EEG coherence study on the interaction between humans and robot. Behavioral and Brain Functions. 2013;9(1):1–13.
   PubMedGoogle Scholar
• Durning SJ, Artino Jr AR, Beckman TJ, et al. Does the think-aloud protocol reflect thinking? Exploring functional neuroimaging differences with thinking (answering multiple choice questions) versus thinking aloud. Med Teach. 2013;35(9):720–726.
   PubMed Web of Science ®Google Scholar
• Durning SJ, Costanzo M, Artino AR, et al. Functional neuroimaging correlates of burnout among internal medicine residents and faculty members. Front Psychiatry. 2013;4:131.
   PubMedGoogle Scholar
• Veroude K, Jolles J, Knežević M, et al. Anterior cingulate activation during cognitive control relates to academic performance in medical students. Trends in Neuroscience and Education. 2013;2(3–4):100–106.
   Google Scholar
• Bahrami P, Graham SJ, Grantcharov TP, et al. Neuroanatomical correlates of laparoscopic surgery training. Surg Endosc. 2014;28(7):2189–2198.
   PubMed Web of Science ®Google Scholar
• Durning SJ, Capaldi II VF, Artino AR, et al. A pilot study exploring the relationship between internists’ self-reported sleepiness, performance on multiple-choice exam items and prefrontal cortex activity. Med Teach. 2014;36(5):434–440.
   PubMed Web of Science ®Google Scholar
• Akimoto S, Ohdaira T, Nakamura S, et al. The efficiency of a modified real-time wireless brain electric activity calculator to reveal the subliminal psychological instability of surgeons that possibly leads to errors in surgical procedures. Surg Technol Int. 2015;26:25–30.
   PubMedGoogle Scholar
• Durning SJ, Costanzo ME, Artino AR, et al. Neural basis of nonanalytical reasoning expertise during clinical evaluation. Brain Behav. 2015;5(3):e00309.
   PubMed Web of Science ®Google Scholar
• Durning SJ, Kelly W, Costanzo ME, et al. Relationship of neuroimaging to typical sleep times during a clinical reasoning task: a pilot study. Mil Med. 2015;180(4 Suppl):129–135.
   PubMed Web of Science ®Google Scholar
• Guru KA, et al. Cognitive skills assessment during robot‐assisted surgery: separating the wheat from the chaff. BJU Int. 2015;115(1):166–174.
   PubMed Web of Science ®Google Scholar
• Guru KA, Shafiei SB, Khan A, et al. Understanding cognitive performance during robot-assisted surgery. Urology. 2015;86(4):751–757.
   PubMed Web of Science ®Google Scholar
• Leff DR, James DRC, Orihuela-Espina F, et al. The impact of expert visual guidance on trainee visual search strategy, visual attention and motor skills. Front Hum Neurosci. 2015;9:526.
   PubMed Web of Science ®Google Scholar
• Maddox MM, Lopez A, Mandava SH, et al. Electroencephalographic monitoring of brain wave activity during laparoscopic surgical simulation to measure surgeon concentration and stress: can the student become the master? J Endourol. 2015;29(12):1329–1333.
   PubMed Web of Science ®Google Scholar
• Miura S, Kobayashi Y, Kawamura K, et al. Brain activation in parietal area during manipulation with a surgical robot simulator. Int J Comput Assist Radiol Surg. 2015;10(6):783–790.
   PubMed Web of Science ®Google Scholar
• Morris MC, Frodl T, D’Souza A, et al. Assessment of competence in surgical skills using functional magnetic resonance imaging: a feasibility study. J Surg Educ. 2015;72(2):198–204.
   PubMed Web of Science ®Google Scholar
• Andreu-Perez J, Leff DR, Shetty K, et al. Disparity in frontal lobe connectivity on a complex bimanual motor task aids in classification of operator skill level. Brain Connect. 2016;6(5):375–388.
   PubMedGoogle Scholar
• Bernier M, Gauvreau C, Theriault D, et al. Increased BOLD activation in the left parahippocampal cortex after 1 year of medical school: an association with cumulative verbal memory learning. Neuroreport. 2016;27(1):45–49.
   PubMed Web of Science ®Google Scholar
• Brod G, Lindenberger U, Wagner AD, et al. Knowledge acquisition during exam preparation improves memory and modulates memory formation. J Neurosci. 2016;36(31):8103–8111.
   PubMed Web of Science ®Google Scholar
• Chang HJ, Kang J, Ham B-J, et al. A functional neuroimaging study of the clinical reasoning of medical students. Adv Health Sci Educ Theory Pract. 2016;21(5):969–982.
   PubMed Web of Science ®Google Scholar
• Crewther BT, Shetty K, Jarchi D, et al. Skill acquisition and stress adaptations following laparoscopic surgery training and detraining in novice surgeons. Surg Endosc. 2016;30(7):2961–2968.
   PubMed Web of Science ®Google Scholar
• de Andrade AP, Amaro E, Farhat SCL, et al. Higher burnout scores in paediatric residents are associated with increased brain activity during attentional functional magnetic resonance imaging task. Acta Paediatr. 2016;105(6):705–713.
   PubMed Web of Science ®Google Scholar
• Durning SJ, Costanzo ME, Beckman TJ, et al. Functional neuroimaging correlates of thinking flexibility and knowledge structure in memory: exploring the relationships between clinical reasoning and diagnostic thinking. Med Teach. 2016;38(6):570–577.
   PubMed Web of Science ®Google Scholar
• Hruska P, Hecker KG, Coderre S, et al. Hemispheric activation differences in novice and expert clinicians during clinical decision making. Adv Health Sci Educ Theory Pract. 2016;21(5):921–933.
   PubMed Web of Science ®Google Scholar
• Hruska P, Krigolson O, Coderre S, et al. Working memory, reasoning, and expertise in medicine—insights into their relationship using functional neuroimaging. Adv Health Sci Educ. 2016;21(5):935–952.
   PubMed Web of Science ®Google Scholar
• Hussein AA, Shafiei SB, Sharif M, et al. Technical mentorship during robot-assisted surgery: a cognitive analysis. BJU Int. 2016;118(3):429–436.
   PubMed Web of Science ®Google Scholar
• Mazur LM, Mosaly PR, Moore C, et al. Toward a better understanding of task demands, workload, and performance during physician-computer interactions. J Am Med Inform Assoc. 2016;23(6):1113–1120.
   PubMed Web of Science ®Google Scholar
• Rourke L, Cruikshank LC, Shapke L, et al. A neural marker of medical visual expertise: implications for training. Adv Health Sci Educ Theory Pract. 2016;21(5):953–966.
   PubMed Web of Science ®Google Scholar
• Shetty K, Leff DR, Orihuela-Espina F, et al. Persistent prefrontal engagement despite improvements in laparoscopic technical skill. JAMA Surg. 2016;151(7):682–684.
   PubMed Web of Science ®Google Scholar
• Leff DR, Yongue G, Vlaev I, et al. “Contemplating the next maneuver”: functional neuroimaging reveals intraoperative decision-making strategies. Ann Surg. 2017;265(2):320–330.
   PubMed Web of Science ®Google Scholar
• Mazur LM, Campbell A, Comitz E, et al. Positive effects of neurofeedback intervention on radiation oncology physicians’ workload during go/no-go performance test. Le travail humain. 2017;80(1):113–132.
   Web of Science ®Google Scholar
• Nishida M, Kikuchi S, Miwakeichi F, et al. Night duty and decreased brain activity of medical residents: a wearable optical topography study. Med Educ Online. 2017;22(1):1379345.
   PubMed Web of Science ®Google Scholar
• Shewokis PA, Shariff FU, Liu Y, et al. Acquisition, retention and transfer of simulated laparoscopic tasks using fNIR and a contextual interference paradigm. Am J Surg. 2017;213(2):336–345.
   PubMed Web of Science ®Google Scholar
• Modi HN, Singh H, Orihuela-Espina F, et al. Temporal stress in the operating room: brain engagement promotes “Coping” and disengagement prompts “Choking”. Ann Surg. 2018;267(4):683–691.
   PubMed Web of Science ®Google Scholar
• Ndaro NZ, Wang SY. Effects of fatigue based on electroencephalography signal during laparoscopic surgical simulation. Minim Invasive Surg. 2018;2018:2389158.
   PubMed Web of Science ®Google Scholar
• Shafiei SB, Hussein AA, Muldoon SF, et al. Functional brain states measure mentor-trainee trust during robot-assisted surgery. Sci Rep. 2018;8(1):3667.
   PubMedGoogle Scholar
• Turk KW, Elshaar AA, Deason RG, et al. Late positive component event-related potential amplitude predicts long-term classroom-based learning. J Cogn Neurosci. 2018;30(9):1323–1329.
   PubMed Web of Science ®Google Scholar
• Xu YY, Feng Z-Q, Xie Y-J, et al. Frontal alpha EEG asymmetry before and after positive psychological interventions for medical students. Front Psychiatry. 2018;9:432.
   PubMed Web of Science ®Google Scholar
• Aksoy E, Izzetoglu K, Baysoy E, et al. performance monitoring via functional near infrared spectroscopy for virtual reality based basic life support training. Front Neurosci. 2019;13:1336.
   PubMed Web of Science ®Google Scholar
• Anderson SJ, Jamniczky HA, Krigolson OE, et al. Quantifying two-dimensional and three-dimensional stereoscopic learning in anatomy using electroencephalography. NPJ Sci Learn. 2019;4(1):10.
   PubMedGoogle Scholar
• Ciechanski P, Kirton A, Wilson B, et al. Electroencephalography correlates of transcranial direct-current stimulation enhanced surgical skill learning: a replication and extension study. Brain Res. 2019;1725:146445.
   PubMed Web of Science ®Google Scholar
• Karabanov AN, Irmen F, Madsen KH, et al. Getting to grips with endoscopy - learning endoscopic surgical skills induces bi-hemispheric plasticity of the grasping network. Neuroimage. 2019;189:32–44.
   PubMed Web of Science ®Google Scholar
• Modi HN, Singh H, Fiorentino F, et al. Association of residents’ neural signatures with stress resilience during surgery. JAMA Surg. 2019;154(10):e192552.
   PubMed Web of Science ®Google Scholar
• Morales JM, Ruiz-Rabelo JF, Diaz-Piedra C, et al. Detecting mental workload in surgical teams using a wearable single-channel electroencephalographic device. J Surg Educ. 2019;76(4):1107–1115.
   PubMed Web of Science ®Google Scholar
• Nemani A, Kruger U, Cooper CA, et al. Objective assessment of surgical skill transfer using non-invasive brain imaging. Surg Endosc. 2019;33(8):2485–2494.
   PubMed Web of Science ®Google Scholar
• Rotgans JI, Schmidt HG, Rosby LV, et al. Evidence supporting dual-process theory of medical diagnosis: a functional near-infrared spectroscopy study. Med Educ. 2019;53(2):143–152.
   PubMed Web of Science ®Google Scholar
• Xu J, Slagle JM, Banerjee A, et al. Use of a portable functional near-infrared spectroscopy (fnirs) system to examine team experience during crisis event management in clinical simulations. Front Hum Neurosci. 2019;13:85.
   PubMed Web of Science ®Google Scholar
• Garbens A, Armstrong BA, Louridas M, et al. Brain activation during laparoscopic tasks in high- and low-performing medical students: a pilot fMRI study. Surg Endosc. 2020;34(11):4837–4845.
   PubMed Web of Science ®Google Scholar
• Khoe HCH, Low JW, Wijerathne S, et al. Use of prefrontal cortex activity as a measure of learning curve in surgical novices: results of a single blind randomised controlled trial. Surg Endosc. 2020;34(12):5604–5615.
   PubMed Web of Science ®Google Scholar
• Pelizzo G, Cardinali L, Bonanno L, et al. Training skills in minimally invasive, robotic and open surgery: brain activation as an opportunity for learning. Eur Surg Res. 2020;61(1):34–50.
   PubMed Web of Science ®Google Scholar
• Li G, Li H, Pu J, et al. Effect of brain alpha oscillation on the performance in laparoscopic skills simulator training. Surg Endosc. 2021;35(2):584–592.
   PubMed Web of Science ®Google Scholar
• Bocci T, Moretto C, Tognazzi S, et al. How does a surgeon’s brain buzz? An EEG coherence study on the interaction between humans and robot. Behav Brain Funct. 2013;9(1):14. 10.1186/1744-9081-9-14.
   PubMedGoogle Scholar
• Li G, Li H, Pu J, et al. Effect of brain alpha oscillation on the performance in laparoscopic skills simulator training. Surg Endosc. 2020.
   Web of Science ®Google Scholar
• Pelizzo G, Cardinali L, Bonanno L, et al. Training skills in minimally invasive, robotic and open surgery: brain activation as an opportunity for learning. Eur Surg Res. 2020;1–16.
   PubMed Web of Science ®Google Scholar
• Cox RW. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comp Biomed Res. 1996;29(3):162–173.
   PubMedGoogle Scholar
• Woolrich MW, Ripley BD, Brady M, et al. Temporal autocorrelation in univariate linear modeling of FMRI data. Neuroimage. 2001;14(6):1370–1386.
   PubMed Web of Science ®Google Scholar
• Woolrich MW, Behrens TEJ, Beckmann CF, et al. Multilevel linear modelling for FMRI group analysis using Bayesian inference. Neuroimage. 2004;21(4):1732–1747.
   PubMed Web of Science ®Google Scholar
• Jenkinson M, Bannister P, Brady M, et al. Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage. 2002;17(2):825–841.
   PubMed Web of Science ®Google Scholar
• Huppert TJ, Diamond SG, Franceschini MA, et al. HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. Appl Opt. 2009;48(10):D280–D298.
   PubMed Web of Science ®Google Scholar
• Koh PH, Glaser DE, Flandin G, et al. Functional optical signal analysis: a software tool for near-infrared spectroscopy data processing incorporating statistical parametric mapping. J Biomed Opt. 2007;12(6):64010.
   Web of Science ®Google Scholar
• Orihuela-Espina F, Leff DR, James DA, et al. ICNA: a software tool for manifold embedded based analysis of functional near infrared spectroscopy data. Neuroimage. 2009;47(47):S59.
   Google Scholar
• Orihuela-Espina F, Leff DR, James DRC, et al. Imperial college near infrared spectroscopy neuroimaging analysis framework. Neurophotonics. 2017;5(1):11011.
   Web of Science ®Google Scholar
• Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods. 2004;134(1):9–21.
   PubMed Web of Science ®Google Scholar
• Glover GH. Overview of functional magnetic resonance imaging. Neurosurg Clinics. 2011;22(2):133–139.
   PubMed Web of Science ®Google Scholar
• Smith EE, Jonides J. Storage and executive processes in the frontal lobes. Science. 1999;283(5408):1657–1661.
   PubMed Web of Science ®Google Scholar
• Neubauer AC, Fink A. Intelligence and neural efficiency. Neurosci Biobehav Rev. 2009;33(7):1004–1023.
   PubMed Web of Science ®Google Scholar
• Kahneman D, Frederick S. Representativeness revisited: attribute substitution in intuitive judgment. Heuristics and biases: the psychology of intuitive judgment. 2002;49:81.
   Google Scholar
• Pusic MV, Boutis K, Pecaric MR, et al. A primer on the statistical modelling of learning curves in health professions education. Adv Health Sci Educ. 2017;22(3):741–759.
   PubMed Web of Science ®Google Scholar