  <record>
    <language>eng</language>
    <publisher>TQMP</publisher>
    <journalTitle>Tutorials in Quantitative Methods for Psychology</journalTitle>
    <issn>1913-4126</issn>
    <publicationDate>2005-09-01</publicationDate>
    <volume>1</volume>
    <issue>1</issue>
    <startPage>18</startPage>
    <endPage>24</endPage>
    <documentType>article</documentType>
    <title language="eng">Statistical analysis of the mismatch negativity: To a dilemma, an answer</title>

    <authors>
      <author>
        <name>Maude Beauchemin</name>
        <email>maude.beauchemin@umontreal.ca</email>
        <affiliationId>1</affiliationId>
      </author>

      <author>
        <name>Louis De Beaumont</name>
        <email>louis.de.beaumont@umontreal.ca</email>
        <affiliationId>1</affiliationId>
      </author>




    </authors>

    <affiliationsList>
      <affiliationName affiliationId="1">Université de Montréal</affiliationName>




    </affiliationsList>

    <abstract language="eng">
       This paper offers a new innovative outlook on mismatch negativity (MMN) analysis.  Indeed, researchers in this field encounter difficulties when attempting to objectively quantify the MMN component waveform. Advantages taken from already existing amplitude and area under the curve measures were used in order to thwart weaknesses from each individual measure. The present paper can also be used as a guideline that describes each step required in the execution of the proposed technique to MMN analysis.  
    </abstract>

    <fullTextUrl format="pdf">http://www.tqmp.org/Content/vol01-1/p018/p018.pdf</fullTextUrl>

    <keywords language="eng">    
      <keyword>Mismatch negativity</keyword>

      <keyword>ERP measure</keyword>




    </keywords>
  </record>


