Mr Ml MPl CRlr Dr Dl CRlr CRrl 2Vr Vl Dr Dl CRrl CRlr Vr Vl Ml Mr CRrl CRlr Vr Vl Dr Dl Mr Ml

Of course, the CUD is no longer an estimate of IHTT! In particular, if Dr is large enough in relation to Dl, then the CUD is negative!

Marzi's Meta-analysis Marzi, Bisiacchi, and Nico-letti (1991) carried out a meta-analysis of SRT studies and obtained the pattern shown in Figure 3. In addition to the standard significant rh x VF interaction, they found an overall LVF advantage and an overall Rh advantage. There was also an asymmetry in the crossed conditions, with selectively long RVF-Lh responses and no difference between the two uncrossed conditions. These results mean that [10v] > 0, [11v] < 0, [12v] < 0, and [13v] A 0. It follows from equations 10v— 13v that the meta-analysis is simultaneously consistent with all of the following three effects: (1) asymmetric transfer, (2) asymmetric hemispheric processing of the visual input, and (3) asymmetric hemispheric motor programming and response. In fact, assuming that CRrl < CRlr, the inequalities above yield PL < Pr and Vr < VL. But the meta-analysis is also consistent with symmetric transfer and asymmetric processing: CRlr = CRrl, Vr < VL and Pr > Pl. Thus, the meta-analysis does not imply asymmetry in relay.

For the second scenario, cognitive relay, we get similar results. Given the same inequalities observed in the metaanalysis, we find that if CRlr > CRrl, then OPl < OPr and IPr < IPl. Similarly, for motor relay, given the inequalities of the meta-analysis, we get that if CRlr > CRrl, then Ml < Mr and Pr < Pl.

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