Literature DB >> 16405872

Neural processing of observed oro-facial movements reflects multiple action encoding strategies in the human brain.

Suresh D Muthukumaraswamy1, Blake W Johnson, William C Gaetz, Douglas O Cheyne.   

Abstract

In this experiment, the oscillatory responses of the MEG were characterized during the observation of four viewing conditions: (a) observation of mouth movements, (b) observation of a non-biological motion stimulus (a mechanical aperture opening and shutting), (c) observation of object-directed mouth movements and (d) observation of speech-like mouth movements. Data were analyzed using synthetic aperture magnetometry (SAM) in three frequency bands, beta (15-35 Hz), gamma (35-70 Hz) and alpha/mu (8-15 Hz). Results showed that observations of biological motion resulted in beta desynchronization over lateral sensorimotor areas, while observations of non-biological motion resulted in a more medial desynchronization, an effect that may be related to the processing of a structured event sequence. Observation of linguistic movements resulted in less alpha/beta desynchronization in posterior brain regions in comparison to biological motion stimuli, suggesting that linguistically-relevant stimuli are processed with different neuronal systems than those recruited by normal action observation. We suggest that non-linguistic actions recruit dorsal systems while linguistic actions engage ventral processing systems. Object-directed movements showed the largest sensorimotor activations, suggesting that, as is the case for observations of hand movements, motoric processing is particularly sensitive to the viewing of goal-directed actions. Taken together, the results indicate that the brain utilizes multiple action encoding strategies, tailored to the function of the observed movement.

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Mesh:

Year:  2006        PMID: 16405872     DOI: 10.1016/j.brainres.2005.11.053

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  15 in total

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Journal:  J Cogn Neurosci       Date:  2012-01-30       Impact factor: 3.225

Review 2.  The mirror mechanism and mu rhythm in social development.

Authors:  Ross E Vanderwert; Nathan A Fox; Pier F Ferrari
Journal:  Neurosci Lett       Date:  2012-10-11       Impact factor: 3.046

3.  Translating principles of neural plasticity into research on speech motor control recovery and rehabilitation.

Authors:  Christy L Ludlow; Jeannette Hoit; Raymond Kent; Lorraine O Ramig; Rahul Shrivastav; Edythe Strand; Kathryn Yorkston; Christine M Sapienza
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4.  Observational learning of new movement sequences is reflected in fronto-parietal coherence.

Authors:  Jurjen van der Helden; Hein T van Schie; Christiaan Rombouts
Journal:  PLoS One       Date:  2010-12-31       Impact factor: 3.240

5.  How bodies and voices interact in early emotion perception.

Authors:  Sarah Jessen; Jonas Obleser; Sonja A Kotz
Journal:  PLoS One       Date:  2012-04-30       Impact factor: 3.240

6.  Mu rhythm desynchronization by tongue thrust observation.

Authors:  Kotoe Sakihara; Masumi Inagaki
Journal:  Front Hum Neurosci       Date:  2015-09-11       Impact factor: 3.169

7.  What can other animals tell us about human social cognition? An evolutionary perspective on reflective and reflexive processing.

Authors:  E E Hecht; R Patterson; A K Barbey
Journal:  Front Hum Neurosci       Date:  2012-07-27       Impact factor: 3.169

8.  Neural correlates of action understanding in infants: influence of motor experience.

Authors:  N Virji-Babul; A Rose; N Moiseeva; N Makan
Journal:  Brain Behav       Date:  2012-05       Impact factor: 2.708

9.  Mu desynchronization during observation and execution of facial expressions in 30-month-old children.

Authors:  Holly Rayson; James John Bonaiuto; Pier Francesco Ferrari; Lynne Murray
Journal:  Dev Cogn Neurosci       Date:  2016-05-24       Impact factor: 6.464

10.  Mu suppression - A good measure of the human mirror neuron system?

Authors:  Hannah M Hobson; Dorothy V M Bishop
Journal:  Cortex       Date:  2016-04-15       Impact factor: 4.027

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