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An advanced visualization system for the neurofunctional study of Parkinson's disease

Published: 01 October 2014 Publication History

Abstract

Understanding of anatomy and spatial relationships of affected brain structures in Parkinson's disease and movement pathways remains a challenge for healthcare students. This paper aims to provide an interactive digital tool to enhance the study of the anatomical and functional neurological basis involved in Parkinson's disease. Implications for medical training and practice are discussed.

References

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Brooks DJ. Imaging approaches to Parkinson disease. J Nucl Med 2010; 51: 596--609.
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Zinchuk AV, Flanagan EP, Tubridy NJ et al. Attitudes of US medical trainees towards neurology education: "Neurophobia"-a global issue. BMC Med Educ 2010; 10--49.
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Ruisoto P, Juanes JA, Contador I et al. Experimental evidence for improved neuroimaging interpretation using three-dimensional graphic models. Anat Sci Educ 2012; 5: 132--7.
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Silén C, Wirell S, Kvist J et al. Advanced 3D visualization in student-centred medical education. Med Teacher 2008; 30: 115--24.
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Drake RL, McBride JM, Lachman N, Pawlina W. Medical Education in the Anatomical Sciences: The Winds of Change Continue to Blow. Anat Sci Educ 2009: 2; 253--9
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Gould DJ, Terrell MA, J. Fleming A. Usability Study of Users'Perceptions Toward a Multimedia Computer-Assisted Learning Tool for Neuroanatomy. Anat Sci Educ 2008; 1: 175--83.
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Kirschner F, Kester L, Corbalan G. Cognitive load theory and multimedia learning, task characteristics, and learner engagement: The current state of the art. Comput Human Behav 2011; 27: 1--4.

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TEEM '14: Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality
October 2014
711 pages
ISBN:9781450328968
DOI:10.1145/2669711
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2014

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Author Tags

  1. Parkinson's disease
  2. medical training
  3. software

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  • Research-article

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TEEM '14

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Overall Acceptance Rate 496 of 705 submissions, 70%

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