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• W1986247748 abstract "In clinical neuroscience, the utility of evoked and event-related potentials (EPs and ERPs) resides in the temporal information they provide. However, it is largely unknown whether valuable diagnostic information resides within the corresponding spatial patterns. To determine this, the first step involves testing whether normal versus abnormal EPs/ERPs can be differentiated based on spatial patterns. In the current study, we present a method that characterizes similarities across individual source maps, called the profile algorithm. The profile algorithm was evaluated in terms of its ability to detect spatial activation differences in myopic individuals with corrected and uncorrected vision. This experiment represents a critical test of the method before applying it to the assessment of perceptual/cognitive functions.Visual-evoked potentials (VEPs) were recorded from healthy subjects using checkerboard stimulation. The N75 and P100 were examined in individuals with corrected (20/20) and uncorrected vision (20/40 or worse).N75 and P100 amplitudes and latencies were modulated by vision condition. The profile algorithm differentiated successfully between corrected and uncorrected vision. Its discriminatory power outperformed a more traditional method based on ERP peak amplitude. Subsequent correlations revealed significant relationships between visual impairment and both the components and the spatial activation. Overall, the findings suggested that VEP spatial patterns were sensitive to manipulations of visual acuity.The findings demonstrate that EP/ERP spatial activation can be evaluated at the individual level and compared against normative data. Ultimately, the method may provide a valuable tool for assessing individual spatial activation changes in perceptual/cognitive functions." @default.
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• W1986247748 date "2010-06-01" @default.
• W1986247748 modified "2023-09-23" @default.
• W1986247748 title "Profiling brain function: Spatiotemporal characterization of normal and abnormal visual activation" @default.
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• W1986247748 doi "https://doi.org/10.1016/j.jneumeth.2010.04.015" @default.
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