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Mapping the Language Connectome in Healthy Subjects and Brain Tumor Patients

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Artificial Neural Networks and Machine Learning – ICANN 2016 (ICANN 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9886))

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Abstract

A crucial challenge for both clinical and systems neuroscience is reliable mapping of brain networks to higher-order cognitive functions in both health and disease. In this paper, we map the brain’s emerging language network in the human connectome based on data from rTMS studies on healthy volunteers as well as brain tumor patients. The key finding is that cortical areas which are involved in the language network are more likely to be connected to Wernicke’s and Broca’s areas based on standard graph theoretic measures. In addition, the higher the connectivity of a particular area to the classic language areas, the more likely it is that region is involved in the language network. We comment on the clinical value that these structure-function connectome maps can have for planning and aiding neurosurgical procedures.

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Acknowledgments

This work has been supported by the European Research Council’s CDAC project: “The Role of Consciousness in Adaptive Behavior: A Combined Empirical, Computational and Robot based Approach” (ERC-2013-ADG 341196).

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Authors and Affiliations

  1. Pritzker School of Medicine, University of Chicago, Chicago, IL, USA

    Gregory Zegarek

  2. Synthetic Perceptive Emotive and Cognitive Systems (SPECS) Lab, Center of Autonomous Systems and Neurorobotics, Universitat Pompeu Fabra, Barcelona, Spain

    Gregory Zegarek, Xerxes D. Arsiwalla, David Dalmazzo & Paul F. M. J. Verschure

  3. Catalan Institute of Advanced Studies (ICREA), Barcelona, Spain

    Paul F. M. J. Verschure

Authors
  1. Gregory Zegarek
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  2. Xerxes D. Arsiwalla
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  3. David Dalmazzo
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  4. Paul F. M. J. Verschure
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Corresponding author

Correspondence to Gregory Zegarek .

Editor information

Editors and Affiliations

  1. University of Lausanne, Lausanne, Switzerland

    Alessandro E.P. Villa

  2. University of Lausanne, Lausanne, Switzerland

    Paolo Masulli

  3. Universitat Politécnica de Catalunya, Terrrassa, Spain

    Antonio Javier Pons Rivero

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© 2016 Springer International Publishing Switzerland

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Zegarek, G., Arsiwalla, X.D., Dalmazzo, D., Verschure, P.F.M.J. (2016). Mapping the Language Connectome in Healthy Subjects and Brain Tumor Patients. In: Villa, A., Masulli, P., Pons Rivero, A. (eds) Artificial Neural Networks and Machine Learning – ICANN 2016. ICANN 2016. Lecture Notes in Computer Science(), vol 9886. Springer, Cham. https://doi.org/10.1007/978-3-319-44778-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-44778-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44777-3

  • Online ISBN: 978-3-319-44778-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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