Name: eeg mu rhythm in typical and atypical development
Uploaded: 2014-04-09T22:15:00
Description: Watch this Scientific Journal Video about EEG Mu Rhythm in Typical and Atypical Development at JoVE.com

This work was supported by a grant from the Simons Foundation (SFARI #89638 to RB).

The following protocol adheres to the guidelines of the University of Washington institutional review board.
1. Electrophysiological Assessment
<ol>
	<li>Preparation of Session
	<ol>
		<li>Room preparation: place the manipulandum (see Figure 1), a wooden block with a sensor attached, which sends a time-stamped marker to acquisition software when it is grasped, on the table within grasping reach of the participant.&#160;Activate EEG acquisition software and begin &#8220;new s...

<ol>
	<li>Kuhl, P. K., Coffey-Corina, S., Padden, D., Dawson, G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Links+between+social+and+linguistic+processing+of+speech+in+preschool+children+with+autism:+behavioral+and+electrophysiological.">Links between social and linguistic processing of speech in preschool children with autism: behavioral and electrophysiological.</a> 8, (2005).</li><li>McPartland, J., Dawson, G., Webb, S. J., Panagiotides, H., Carver, L. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Event-related+brain+potentials+reveal+anomalies+in+temporal+processing+of+faces+in+autism+spectrum+disorder.">Event-related brain potentials reveal anomalies in temporal processing of faces in autism spectrum disorder.</a> J. Child Psychol. 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Brain. 20, 148-157 (2003).</li><li>Cochin, S., Barthelemy, C., Lejeune, B., Roux, S., Martineau, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Perception+of+motion+and+qEEG+activity+in+human+adults.">Perception of motion and qEEG activity in human adults.</a> Electroencephalogr. Clin. Neurophysiol. 107, 287-295 (1998).</li><li>Cochin, S., Barthelemy, C., Roux, S., Martineau, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Observation+and+execution+of+movement:+similarities+demonstrated+by+quantified+electroencephalography.">Observation and execution of movement: similarities demonstrated by quantified electroencephalography.</a> Eur. J. Neurosci. 11, 1839-1842 (1999).</li><li>Cochin, S., Barthelemy, C., Roux, S., Martineau, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Electroencephalographic+activity+during+perception+of+motion+in+childhood.">Electroencephalographic activity during perception of motion in childhood.</a> Eur. J. Neurosci. 13, 1791-1796 (2001).</li><li>Martineau, J., Cochin, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Visual+perception+in+children:+human,+animal+and+virtual+movement+activates+different+cortical+areas.">Visual perception in children: human, animal and virtual movement activates different cortical areas.</a> Int. J. Psychophysiol. 51, 37-44 (2003).</li><li>Lepage, J. 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H., El Karoui, I., Csibra, G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Motor+system+activation+reveals+infants'+on-line+prediction+of+others'+goals.">Motor system activation reveals infants' on-line prediction of others' goals.</a> Psychol. Sci. 21, 355-359 (2010).</li><li>Nystrom, P., Ljunghammar, T., Rosander, K., von Hofsten, C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Using+mu+rhythm+desynchronization+to+measure+mirror+neuron+activity+in+infants.">Using mu rhythm desynchronization to measure mirror neuron activity in infants.</a> Dev. Sci. 14, 327-335 (2011).</li><li>Southgate, V., Johnson, M. H., Osborne, T., Csibra, G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Predictive+motor+activation+during+action+observation+in+human+infants.">Predictive motor activation during action observation in human infants.</a> Biol. , 769-772 (2009).</li><li>Oberman, L. M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=EEG+evidence+for+mirror+neuron+dysfunction+in+autism+spectrum+disorders.">EEG evidence for mirror neuron dysfunction in autism spectrum disorders.</a> Brain Res. Cogn. 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A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Modulation+of+mu+suppression+in+children+with+autism+spectrum+disorders+in+response+to+familiar+or+unfamiliar+stimuli:+the+mirror+neuron+hypothesis.">Modulation of mu suppression in children with autism spectrum disorders in response to familiar or unfamiliar stimuli: the mirror neuron hypothesis.</a> Neuropsychologia. 46, 1558-1565 (2008).</li><li>Raymaekers, R., Wiersema, J. R., Roeyers, H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> EEG Study of the Mirror Neuron System in Children with High Functioning Autism. Brain Res. , 113-121 (2009).</li><li>Fan, Y. T., Decety, J., Yang, C. Y., Liu, J. L., Cheng, Y. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Unbroken+mirror+neurons+in+autism+spectrum+disorders.">Unbroken mirror neurons in autism spectrum disorders.</a> J. Child Psychol. Psychiatry. 51, 981-988 (2010).</li><li>Bernier, R., Aaronson, B., McPartland, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+role+of+imitation+in+the+observed+heterogeneity+in+EEG+mu+rhythm+in+autism+and+typical+development.">The role of imitation in the observed heterogeneity in EEG mu rhythm in autism and typical development.</a> Brain Cogn. 82, 69-75 (2013).</li><li>Pfurtscheller, G., Lopesda Silva, ., H, F. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Event-related+EEG/MEG+synchronization+and+desynchronization:+basic+principles.">Event-related EEG/MEG synchronization and desynchronization: basic principles.</a> Clin. Neurophysiol. 110, 1842-1857 (1999).</li><li>Marshall, P. J., Young, T., Meltzoff, A. N. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Neural+correlates+of+action+observation+and+execution+in+14&#8208;month&#8208;old+infants:+An+event&#8208;related+EEG+desynchronization+study.">Neural correlates of action observation and execution in 14&#8208;month&#8208;old infants: An event&#8208;related EEG desynchronization study.</a> Dev. Sci. , 474-480 (2011).</li><li>Marshall, P. J., Meltzoff, A. N. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Neural+mirroring+systems:+Exploring+the+EEG+mu+rhythm+in+human+infancy.">Neural mirroring systems: Exploring the EEG mu rhythm in human infancy.</a> Dev. Cogn. 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The successful acquisition, processing, and analysis of electrophysiological data related to the mu rhythm and the application to clinical populations requires 1) the application of EEG methodological tools, 2) careful artifact detection and data reduction, 3) accurate identification of the mu rhythm, and 4) accurate characterization of the clinical population and identification of appropriate control groups.

Appropriate EEG methodology requires properly functionin...

Electroencephalography (EEG) is an effective, efficient, and noninvasive method of assessing and recording brain activity. As neurons fire in the brain, the resulting voltage can be amplified, recorded, and graphically represented. The temporal resolution of EEG allows for the analysis of even brief changes in the oscillation patterns of the brain, as well as the analysis of the brain&#8217;s response to specific stimuli.

Despite being the oldest brain imaging technique, dating back to the late 19th century, EEG still has wide-ranging applicability. While functional magnetic resonance imaging (fMRI) has excellent spatial resolution, it has relatively poor temporal resolution. This represents a major limitation of fMRI assessment given the incredible speed at which processes occur in the brain. EEG has the ability to assess electrical brain activity at the millisecond level, providing potential insight into the phases of the brain&#8217;s processing.

Evolving technologies have also expanded the applicability of EEG. An increase in the density of recording systems has allowed for the development of source localization techniques, mitigating some of EEG&#8217;s limitations regarding spatial resolution. Additionally, modern systems have reduced the individual participant set-up time significantly, allowing for the assessment of previously unavailable populations, such as infant and clinical samples1-3,28-30.

Given the excellent temporal resolution, EEG can be used to examine the neural response related to specific behaviors, states, or external stimuli. An example of this utility is the assessment of the mirror neuron system (MNS) in humans. Mirror neurons were originally identified in monkeys using single neuron recording4, evidencing a group of neurons that responded to both the execution and observation of motor actions. This direct recording method of placing electrodes in the brain is rarely utilized in humans, and only in dire clinical cases. EEG has provided a method for assessing the MNS by monitoring the EEG mu rhythm.&#160;This oscillation pattern in the 8-12 Hz range has been shown to attenuate EEG power in response to the execution and observation of motor actions, similar to the activation pattern observed in monkeys5-7. Similarly, stimulation of putative MNS brain regions through Transcranial Magnetic Stimulation (e.g.&#160;the inferior frontal gyrus) abolishes EEG mu rhythm8 and EEG mu rhythm suppression correlates with BOLD signals from fMRI in putative mirror neuron regions within subjects9, providing additional support that this rhythm indexes, at least in part, MNS activity. Assessment of the EEG mu rhythm has allowed for a noninvasive assessment of mirror neuron activity in humans.

EEG provides a unique methodology for examining brain activity and when combined with behaviorally based assays, it can be a powerful tool for elucidating aspects of social cognition, such as imitation, in clinical populations. Further, the applicability of EEG for use with populations with cognitive or language impairments allows for insight into abilities of individuals for whom other imaging techniques or behavioral paradigms may be less successfully utilize. The described protocol provides an avenue to examine social cognitive functions theoretically linked to the mirror neuron system in individuals with typical and atypical development, such as Autism Spectrum Disorder.

<table border="0" cellpadding="0" cellspacing="0" width="994">
	<tbody>
		<tr height="21">
			<td height="21" style="height:21px;width:267px;">Geodesic EEG System</td>
			<td style="width:71px;">EGI</td>
			<td style="width:119px;">N/A</td>
			<td style="width:539px;">Any EEG system, not only EGI based systems, is applicable for the described study</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:267px;">MATLAB software</td>
			<td style="width:71px;">MATLAB</td>
			<td style="width:119px;">N/A</td>
			<td>Any mathematical, statistical software that can work with matrices is applicable</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:267px;">Netstation software</td>
			<td style="width:71px;">EGI</td>
			<td style="width:119px;">N/A</td>
			<td>Any EEG acquisition software is applicable for the described study</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:267px;">Manipulandum</td>
			<td style="width:71px;">custom</td>
			<td style="width:119px;">N/A</td>
			<td>Any object that is co-registered with data acquisition software to signal a successful grasp</td>
		</tr>
	</tbody>
</table>

eeg mu rhythm in typical and atypical development

Electroencephalography (EEG) is an effective, efficient, and noninvasive method of assessing and recording brain activity. Given the excellent temporal resolution, EEG can be used to examine the neural response related to specific behaviors, states, or external stimuli. An example of this utility is the assessment of the mirror neuron system (MNS) in humans through the examination of the EEG mu rhythm. The EEG mu rhythm, oscillatory activity in the 8-12 Hz frequency range recorded from centrally located electrodes, is suppressed when an individual executes, or simply observes, goal directed actions. As such, it has been proposed to reflect activity of the MNS. It has been theorized that dysfunction in the mirror neuron system (MNS) plays a contributing role in the social deficits of autism spectrum disorder (ASD). The MNS can then be noninvasively examined in clinical populations by using EEG mu rhythm attenuation as an index for its activity. The described protocol provides an avenue to examine social cognitive functions theoretically linked to the MNS in individuals with typical and atypical development, such as ASD.&#160;

Typical adults, children and infants have consistently demonstrated mu rhythm during both the execution and observation of actions across a variety of paradigms and stimuli5,14-30. Attenuation in this frequency band is consistently localized across central electrodes (Figure 3) indicating that this is not reduction of alpha power which is recorded at other scalp regions. Similarly, attenuation in this frequency during the observation of movement is limited to the observat...

Watch this Scientific Journal Video about EEG Mu Rhythm in Typical and Atypical Development at JoVE.com

EEG Mu Rhythm in Typical and Atypical Development

Assessment of the EEG mu rhythm provides a unique methodology for examining brain activity and when combined with behaviorally based assays, can be a powerful tool for elucidating aspects of social cognition, such as imitation, in clinical populations.

Electroencephalography (EEG) is an effective, efficient, and noninvasive method of assessing and recording brain activity. Given the excellent temporal ...

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The Pilocarpine Model of Temporal Lobe Epilepsy and EEG Monitoring Using Radiotelemetry System in Mice

Temporal lobe epilepsy (TLE) is a common neurological disorder in adulthood. For translational studies of chronic epilepsy, pilocarpine-induced status ...

Development and Functional Characterization of Murine Tolerogenic Dendritic Cells

The immune system operates by maintaining a tight balance between coordinating responses against foreign antigens and maintaining an unresponsive state ...