When trying to establish that a certain quantitative
relationship between ongoing alpha and P1 amplitude exists at least two different aspects must be considered. On the one hand, task type – as described in the previous section – changes the direction of poststimulus reactivity in a complex but predictable way. On the other hand, if early evoked responses are generated/influenced at least in part by ongoing alpha, P1 amplitude will not only depend on alpha power but also by the extent of phase locking of ongoing ABT-199 chemical structure alpha activity. As a consequence, any simple prediction in the sense that the P1 will be positively or negatively related to prestimulus power must fail if the functionality of alpha (depending on the type of cognitive demand)
and the extent of phase locking are ignored. A good example, demonstrating this problem, is the issue of phase reset. If the influence of task type is not considered, a positive relationship between ongoing oscillatory activity and the amplitude of the evoked response is predicted. The central hypothesis then is that ongoing oscillatory activity simply resets the phase to a certain value (e.g., to the positive peak) in response to the presentation of a stimulus. Thus, if a positive relationship between the amplitude of ongoing oscillatory activity and the amplitude of the evoked response cannot be observed, this is taken as evidence against phase reset (cf. e.g., Becker et al. 2007). Although there is good evidence for phase reset (e.g., Fell et al., 2004, Hanslmayr et al., 2007b and Lakatos et al., 2005), selleck kinase inhibitor a proof is very difficult because of methodological reasons (for critical reviews see Sauseng et al., 2007 and Klimesch et al., 2006). It is important, however, to emphasize that phase reset is only one and a very specific mechanism that can be derived and predicted from an oscillatory ERP model (for a review see Klimesch et al 2007b). Other mechanisms are e.g., evoked oscillations (i.e. an oscillation is elicited by stimulation), prestimulus phase alignment or any type of the influence of (peristimulus) phase
on ERPs and performance. In agreement MG-132 cost with this notion, several studies have shown that the phase of ongoing alpha oscillations has an influence on ERPs and on task performance (for more recent studies see e.g., Busch et al., 2009, Busch and VanRullen, 2010, Mathewson et al., 2009, Makeig et al., 2002 and Lakatos et al., 2008). In addition, it has also been demonstrated that increased alpha phase locking is associated with good performance (e.g., Klimesch et al., 2004 and Yamagishi et al., 2008). The conclusion, thus, is that the investigation of a quantitative relationship must be based on at least the following two requirements, the control of task type and phase. The latter is difficult, but can be based on the following considerations.
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