Previously, we have described deficits in the analysis of patterned visual motion in early Alzheimer's disease (AD). Most recently, we found that scalp-recorded visual motion evoked potentials (VMEPs) can detect and quantify these deficits. We now explore the role played by temporal integration in these processes, testing the hypothesis that the impaired temporal integration of visual motion underlies these deficits. We compared perceptual performance and VMEPs in young normal controls (YNC, N = 12), older adult controls (OAC, N = 15), and early AD patients (EAD, N = 13). Visual motion stimuli were presented on a large (60° X 60°) screen display during centered visual fixation. The duration of up- or downward planar motion was varied from 33, 83, 200, to 500 ms as subjects performed a 2AFC discrimination task. Behavioral performance (d') revealed a main effect of subject group: YNC = OAC > EAD. There was also a strong effect of duration 33 ms < 83 ms ∼ 200 ms ∼ 500 ms. There was no evidence of group by duration interactions, suggesting that AD effects are not linked to temporal duration effects. VMEP amplitudes supported the view that visual motion processing deficits in aging and AD are not a reflection of temporal integrative failure. The N200 component of the VMEP, most evident at the CPZ electrode, varied between groups in a manner that highlighted the differences between aging and AD effects: YNC = OAC > EAD. The EAD patients also showed a ∼25 ms delay in the N200 latencies. However, all groups showed parallel increases in N200 amplitudes with increasing stimulus duration in the pattern of 33 ms < 83 ms ∼ 200 ms ∼ 500 ms. We concluded that visual motion perceptual deficits, and corresponding changes in neurophysiological responses, do not reflect failures of visual motion integration. Our findings highlight the utility of using patterned visual motion in psychophysical and neurophysiological testing for the early detection of AD. This approach can successfully distinguishing between cognitive aging and AD and define specific patterns of functional decline to guide behavioral and pharmacological interventions.