Literature DB >> 31470165

Edwin Boldrey and Wilder Penfield's Homunculus: A Life Given by Mrs. Cantlie (In and Out of Realism).

Gurpreet S Gandhoke1, Evgenii Belykh2, Xiaochun Zhao2, Richard Leblanc3, Mark C Preul4.   

Abstract

For nearly 90 years, notions of the brain have been inextricably associated with a homunculus that has become embedded within medical education as the precise representation of rolandic cortical function. We sought to define the history, evolution, accuracy, and impact of this pictorial means of showing cortical representation. We mathematically defined the evolutionary accuracy of appropriate homunculi using image analysis techniques for all points defined by Penfield, Boldrey, Rasmussen, Jasper, and Erickson, calculating perpendicular distances and defining areas and distributions of rolandic and sylvian regions labeled for sensory and motor activity with comparison with all homunculi. Prerolandic sensory representation composed 13%-47% of total sensory area (mean, 29%); postrolandic motor representation composed 15%-65% of total motor area (mean, 31%). Discrepancy between cortical perpendicular length attributed to a particular function on 1937 diagrams was greater than that attributed on the 1950 homunculus (motor: mean, 74%; range, 63%-96%; sensory: mean, 66%; range, 17%-92%) (P < 0.05). The homunculus, if truly drawn according to cortical mapping evidence, could never have been recognized as near humanoid, yet it has attained epic educational and practical longevity.
Copyright © 2019 Elsevier Inc. All rights reserved.

Keywords:  Brain mapping; Cerebral functional localization; Cortical stimulation; Edwin Boldrey; Homunculus; Montreal Neurological Institute; Wilder Penfield

Mesh:

Year:  2019        PMID: 31470165     DOI: 10.1016/j.wneu.2019.08.116

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  4 in total

1.  The debate on apraxia and the supplementary motor area in the twentieth century.

Authors:  Holger Joswig; Werner Surbeck; Felix Scholtes; Denis Bratelj; Gerhard Hildebrandt
Journal:  Acta Neurochir (Wien)       Date:  2020-07-29       Impact factor: 2.216

2.  A data-driven machine learning approach for brain-computer interfaces targeting lower limb neuroprosthetics.

Authors:  Arnau Dillen; Elke Lathouwers; Aleksandar Miladinović; Uros Marusic; Fakhreddine Ghaffari; Olivier Romain; Romain Meeusen; Kevin De Pauw
Journal:  Front Hum Neurosci       Date:  2022-07-19       Impact factor: 3.473

3.  Left hemispheric α band cerebral oscillatory changes correlate with verbal memory.

Authors:  Toshihiko Araki; Yoshiyuki Watanabe; Masayuki Hirata
Journal:  Sci Rep       Date:  2020-09-14       Impact factor: 4.379

Review 4.  Identification of Lower-Limb Motor Tasks via Brain-Computer Interfaces: A Topical Overview.

Authors:  Víctor Asanza; Enrique Peláez; Francis Loayza; Leandro L Lorente-Leyva; Diego H Peluffo-Ordóñez
Journal:  Sensors (Basel)       Date:  2022-03-04       Impact factor: 3.576

  4 in total

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