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Basic foundations for building cognitive skills and expertise

Marcel Martin

Retired professor of surgery, Université de Sherbrooke, Sherbrooke, Quebec, Canada

Staff physician, Critical Care Department, Dr Everett Chalmers Hospital, Horizon Health Authority, New Brunswick, Canada

E-mail : aa

Paul Ouellet

Adjunct Professor, Department of Surgery, Université de Sherbrooke, Sherbrooke, Quebec, Canada

Clinical consultant, Vitalité Health Authority, North West Zone, New Brunswick

Zeesham Aslam

Director of Critical Care, Dr Everett Chalmers Hospital, Horizon Health Authority, New Brunswick, Canada

Assistant Professor, Department of Critical Care – Internal Medicine, Dalhousie University, Halifax, Nova Scotia, Canada

DOI: 10.15761/JTS.1000173

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Abstract

To build towards expertise, one has to accept to modify his way of practicing, including: 1) A need to reflect on and about the action, 2) A continuous concern about our competence to practice, 3) Tireless effort to combine metacognition and mental practice in a trans-disciplinary approach, 4) Practice cannot be complete without adding research with neuroscience, understanding neuroplasticity, modulation and artificial intelligence.

Key words

 continuous medical education, practical knowledge decision-making, simulation laboratory and post-simulation era, neuroscience with modulators, mental practice and artificial intelligence

Introduction

Continuous education is a mandatory condition of practice ‘sine qua non’ to maintain at least a competence in ‘complex system’ like medicine [1,2]. Continuous education should not mean intermittent one with inappropriate activities to learn and retain during these active practicing years. Retrospectively, the pre doctoral ‘Problem Based Learning’ (PBL) approach alone has been an incomplete one mainly used for decision-making and theoretical knowledge training [3]. The practical field of procedural knowledge has been left aside in curriculum like the development of spatial intelligence [4].

These reductionist aspects of our curriculum in medicine led to an incomplete metacognition development [5] where procedural knowledge, third space visualisation, anatomy and spatial intelligence were neglected.

Flexner [6] in his time mandates continuity in pre/postdoctoral and continuous education curriculum. This remained only a dream and continuous education has now to be rebuilt again with a complete change in philosophy [7]. In our present work, we insisted on simulation laboratory [8] as an opening to an integration of procedural knowledge, mixed with decision-making, intuition, uncertainties [9,10] empathy, resilience [11], development of spatial intelligence and creativity. We feel all of the above must be approached in simulation with a global philosophy including technical and non-technical skills and kinetics of decision-making, interdisciplinary approach for both procedural and theoretical knowledge. All those learning elements are included in complex scenarios.

From the world of simulation, the second part of the revolution is the inclusion of neuroscience [12] in cognitive psychology to develop a better metacognition [13] and allow a personalised approach in the development of expertise [14]. The neuroenhancement phenomenon [15], based on neuroplasticity [16] and epigenetics [17] needs to be included for the understanding of neuroplasticity, connectomics [18] and neuroimaging [19]. The anatomical follow up of the neuroplasticity during training is not only possible but also mandatory to study the beneficial aspects of training with functional magnetic resonance imaging (fMRI) to see the anatomical results of this training [20]. The final aspect of this revolution must be the ‘Mental Practice’ [21] with the understanding of ‘Motor to Mental Gradient’ in skill learning [22,23].

Skill learning should include gradient between cognition, plasticity, epigenetics [24], modification following physical exercise [25] and their influence on learning. All of these elements will finally help in understanding metacognition and contextualisation of knowledge. We are witnessing a post simulation era where mental world and practice with virtual reality would replace the actual simulation laboratory.

One appropriate question is raised. Why such a presentation on cognition at a biotechnology congress? Three main facts transpire.

  1. In cognitive psychology, we are utilising more and more ‘Technology-Enhanced Education’ (TEE).
  2. Our learning approach in medicine is partly transferable to ‘Science, Technology, Engineering and Mathematics’ (STEM) and biotechnology education.

Therefore it is fair to say that in complex systems, learning should more and more be focused on a trans disciplinary approach. In cognitive neuroscience, the extended knowledge of different cognitive style (metacognition) based on Beta/Teta Ratio [26] following neurofeedback may help to understand the Brain-Computer-Interface-Mental Imagery (BCI-MI) illiteracy in motor imagery. An important question arises from in the type of training involving spacial intelligence and meditation in trying to facilitate BCI-MI performance [27].

Simulation

Five main subjects are thoroughly discussed in Simulation laboratory literature:

  1. Scenarios with more or less high fidelity,
  2. Complex scenarios,
  3. Near work space teaching (in situ) with debriefing [28],
  4. Teaching in a distributed fashion [29], with or without cognitive task analysis [30]
  5. Decomposition of movements [31], consisting of multidisciplinary approach [32] with videocameras [33] for further modeling [34].

For the last twenty years these laboratories have been the revolutionary tools in teaching medicine. Digging on metacognition and cognitive psychology and because of the understanding of the Motor to Mental Gradient in skill learning in sports, mental representation and mental practice started recently to complement the physical practice and to replace it almost completely. Parallel to this approach, neuroscience has helped to understand neuroplasticity, epigenetics and connectomics. Neuroimaging offers a possible follow-up on the road towards expertise.

Mental practice and neuroenhancers

Mental practice and representation with all the other neuroenhancers described recently at least five elements; three of which are environmental (1-3) and two are structural (4-5)

  1. Exercise [25]
  2. Practice [35]
  3. Videogames [36]
  4. Biochemical approach with methylene blue or methylphenidate [37]
  5. Electro-mechanical stimulation of the brain [38]

Some authors hypothesize the concept of cognitive reserve with proxy measurements while some of the elements in cognitive reserve can also be modified by mental practice or neuroenhancers [39]. All of these measurements mandate a strategic approach [40] and a strict neuroethics [41]. With the recent description of asymptotic [42] curve of expertise, the use of a global strategic approach will contribute to achieve expertise in complex systems. In the coming years, the methodology for efficient learning will change drastically. Result evaluation is mandatory. Recent literature on cognitive psychology is rapidly growing. One example is with the use of music instrument in learning toward neuroplasticity [43], coupled with physical exercise [44] and mental practice with mindfulness meditation [45] to control emotional stress and learning. Among the enhancement literature, Hardy et al. proved the effect of cognitive enhance learning (Videogame Lumosity) in the Grand Index Score being enhanced in speed of processing, short term memory, working memory, problem solving and fluid reasoning assessments [46]. Alam and Leblanc have shown that multiple choice scores can be optimized with E-learning sessions by combining mental practice with modeling [47]. Several combinations of enhancement are possible and the operation strategy must be studied in different situations.

Summary

This reflective revolution in education should also include the development of artificial intelligence in a brain-machine interface. However, the application of brain-machine interface mandates a brain control over the machine. Robotics must not replace human brain but must enhance its possibilities. Integration and adaptation must prevail in any learning approach. On the other hand, neuroscience and cognition especially in inhibitory:excitatory (I:E) balance synapses [48] concerning neuroplasticity, should be better understood to optimize the strategy of Targeted Neuroplasticity Training (TNT). By achieving better understanding of cognition and metacognition with neuroimaging, we feel global knowledge will evolve on two fronts : 1- Precision in education with personalized cognition and 2- With combined utilization of neuroscience, artificial intelligence and metacognition evolution will reach for solving the recent asymptote curve of expertise but not without a strict necessity of neuroethics.

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Editorial Information

Editor-in-Chief

Terry Lichtor

Article Type

Short Communication

Publication history

Received date: September 07, 2016
Accepted date: December 21, 2016
Published date: December 26, 2016

Copyright

©2016 Martin M. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation

Martin M, Ouellet P, Aslam Z (2016) Basic foundations for building cognitive skills and expertise. J Transl Sci 3: doi: 10.15761/JTS.1000173

Corresponding author

Prof. Marcel Martin

Staff physician, Critical Care Department, Dr Everett Chalmers Hospital, Horizon Health Authority, New Brunswick, Canada,

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