Here we showed that when stable EEG patterns are clustered using each age group as own ref, stable EEG patterns refl vis selective attn appear from 5y & for AV attention from 7y. So attention skills visible in beh can be supported by both 'maturing' & age-specific brn mechs 2/n
We finish the paper by discussing how N2pc - and any other ERP components - are useful as proxies of neurocogn mechs. But they should be used only as proxies, as they are not forcibly present any time a cog process is active (e.g. attn selection). We need 3/n @AcademicEEG
more sensitive, multivariate #EEG methods for analyses of classic #ERP components so we can detect the neurocog mechs even outside of 'optimal' settings for an ERP component, for #N2pc - e.g. measuring N2pc to distractors; AV settings; developmental populations. 4/4 @AcademicEEG
Best things come in 3. Congrats to @NoraPlethora for her 3rd PhD pub, in @NeuroImage_EiC . We used N2pc as an est'd marker of attn control & tested how visual goals, multisens salience & context (object predictability & meaning) interact in controling capture by distractors 1/n
We were interested in the role of lateralised brain mechs in those interactions (lat. brn mechs are 'captured' by canonical N2pc analyses) & we tested them w canonical N2pc & multivariate el.nimg anals. In fact lateralised N2pc-like mechs did NOT support those interactions 2/n
Motivated by our prev work showing the role of NON-lateralised brn mechs in multisensory attention, we tested also for those brain mechs. As both object predictions & semantics affect stim processing fr early on we also extended the anls window from stim onset to that of N2pc 3/n