Event-related potentials (ERPs) were recorded from healthy subjects in
response to unilaterally flashed high and low luminance bar stimuli p
resented randomly to left and right field locations. Their task was to
covertly and selectively attend to either the left or right stimulus
locations (separate blocks) in order to detect infrequent shorter targ
et bars of either luminance. Independent of attention, higher stimulus
luminance resulted in higher ERP amplitudes for the posterior N95 (80
-110 ms), occipital P1 (110-140 ms), and parietal N1 (130-180 ms). Bri
ghter stimuli also resulted in shorter peak latency for the occipital
N1 component (135-220 ms); this effect was not observed for the N1 com
ponents over parietal, central or frontal regions. Significant attenti
on-related amplitude modulations were obtained for the occipital P1, o
ccipital, parietal and central N1, the occipital and parietal P2, and
the parietal N2 components; these components were larger to stimuli at
the attended location. In contrast to the relatively short latencies
of both spatial attention and luminance effects, the first interaction
between luminance and spatial attention effects was observed for the
P3 component to the target stimuli (350-750 ms). This suggests that in
teractions of spatial attention and stimulus luminance previously repo
rted for reaction time measures may not reflect the earliest stages of
sensory/perceptual processing. Differences in the way in which lumina
nce and attention affected the occipital P1, occipital N1 and parietal
N1 components suggest dissociations among these ERPs in the mechanism
s of visual and attentional processing they reflect, Nonetheless, scal
p current density mappings of the attention effects throughout the lat
ency ranges of the P1 and N1 components show the most prominent attent
ion-related activity to be in lateral occipital scalp areas. Such a pa
ttern is consistent with the spatially selective filtering of informat
ion into the ventral stream of visual processing which is responsible
for complex feature analysis and object identification.