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The influence of the place-value structure of the Arabic number ...

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INTRODUCTION<br />

Dealing with and <strong>the</strong> processing <strong>of</strong> <strong>number</strong>s is a highly complex ability relying on<br />

multiple cognitive representations such as numerical magnitude (Dehaene, Piazza, Pinel, &<br />

Cohen, 2003; Hubbard, Piazza, Pinel, & Dehaene, 2005), arithmetic fact knowledge (Dehaene<br />

et al., 2003; Delazer et al., 2003), and procedural knowledge (Butterworth, 2005; Delazer et<br />

al., 2004). <strong>The</strong>se different <strong>number</strong> representations could recently be associated with <strong>the</strong><br />

activation <strong>of</strong> specific neuroanatomical <strong>structure</strong>s. Typically, <strong>number</strong> magnitude processing<br />

activated <strong>the</strong> intraparietal cortex, bilaterally (e.g. Eger, Sterzer, Russ, Girald, & Kleinschmidt,<br />

2003; Dehaene et al., 2003) while arithmetic fact knowledge was associated with activation in<br />

<strong>the</strong> left inferior parietal cortex, in particular <strong>the</strong> left angular gyrus (Cohen, Dehaene, Chochon,<br />

Lehéricy, & Naccache, 2000; Dehaene et al. 2003; Delazer, et al., 2003). However, when<br />

calculation problems become more complex, apart from magnitude processing and arithmetic<br />

fact knowledge, procedural knowledge coordinating all required processes is necessary<br />

(Delazer et al., 2003; Semenza, 2004). It usually subsumes abilities as to select <strong>the</strong><br />

appropriate strategies and production rules as well as integrating all information needed to<br />

solve <strong>the</strong> task at hand (Delazer et al., 2003). Such procedural knowledge was recently<br />

associated with prefrontal and basal ganglia activation (Delazer et al., 2004).<br />

To date, studies investigating <strong>the</strong> neural correlates <strong>of</strong> those different <strong>number</strong><br />

representations and procedural knowledge used a large variety <strong>of</strong> tasks and materials<br />

(Chochon, Cohen, van de Mortele, & Dehaene, 1999; Cohen et al., 2000; Delazer et al., 2004;<br />

Fullbright et al., 2000; Goebel, Johansen-Berg, Behrens, & Rushworth, 2004; Menon, Rivera,<br />

White, Glover, & Reiss, 2000; Pinel, Dehaene, Riviére, & Le Bihan, 2001; Pinel, Piazza, Le<br />

Bihan, & Dehaene, 2004, Simon, Mangin, Cohen, Le Bihan, & Dehaene, 2002; Stanescu-<br />

Cosson et al., 2000; Wood, Nuerk, & Willmes, 2006). Due to this diversity <strong>of</strong> experimental<br />

procedures and task requirements, a comparison <strong>of</strong> brain activation patterns between different<br />

studies is very difficult. In many cases, specific numerical processing such as magnitude<br />

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