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The pain matrix reloaded: a salience detection system for the body

(2011) PROGRESS IN NEUROBIOLOGY. 93(1). p.111-124
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Keywords
PRIMARY SOMATOSENSORY CORTEX, EVENT-RELATED POTENTIALS, ANTERIOR CINGULATE CORTEX, VENTRAL INTRAPARIETAL AREA, LASER-EVOKED-POTENTIALS, DEVIANT NOCICEPTIVE STIMULI, SELECTIVE VISUAL-ATTENTION, CUTANEOUS SURFACE-AREAS, HUMAN BRAIN, PARIETAL CORTEX, Pain, Nociception, Salience, Attention, Multimodal, Peripersonal space

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Citation

Please use this url to cite or link to this publication:

Chicago
Legrain, Valéry, Gian Domenico Iannetti, Leon Plaghki, and Andre Mouraux. 2011. “The Pain Matrix Reloaded: a Salience Detection System for the Body.” Progress in Neurobiology 93 (1): 111–124.
APA
Legrain, V., Iannetti, G. D., Plaghki, L., & Mouraux, A. (2011). The pain matrix reloaded: a salience detection system for the body. PROGRESS IN NEUROBIOLOGY, 93(1), 111–124.
Vancouver
1.
Legrain V, Iannetti GD, Plaghki L, Mouraux A. The pain matrix reloaded: a salience detection system for the body. PROGRESS IN NEUROBIOLOGY. 2011;93(1):111–24.
MLA
Legrain, Valéry, Gian Domenico Iannetti, Leon Plaghki, et al. “The Pain Matrix Reloaded: a Salience Detection System for the Body.” PROGRESS IN NEUROBIOLOGY 93.1 (2011): 111–124. Print.
@article{1917263,
  author       = {Legrain, Val{\'e}ry and Iannetti, Gian Domenico and Plaghki, Leon and Mouraux, Andre},
  issn         = {0301-0082},
  journal      = {PROGRESS IN NEUROBIOLOGY},
  keyword      = {PRIMARY SOMATOSENSORY CORTEX,EVENT-RELATED POTENTIALS,ANTERIOR CINGULATE CORTEX,VENTRAL INTRAPARIETAL AREA,LASER-EVOKED-POTENTIALS,DEVIANT NOCICEPTIVE STIMULI,SELECTIVE VISUAL-ATTENTION,CUTANEOUS SURFACE-AREAS,HUMAN BRAIN,PARIETAL CORTEX,Pain,Nociception,Salience,Attention,Multimodal,Peripersonal space},
  language     = {eng},
  number       = {1},
  pages        = {111--124},
  title        = {The pain matrix reloaded: a salience detection system for the body},
  url          = {http://dx.doi.org/10.1016/j.pneurobio.2010.10.005},
  volume       = {93},
  year         = {2011},
}

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