2009
DOI: 10.3922/j.psns.2009.2.008
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The Jitter Spatial Frequency Sweep VEP: A new paradigm to study spatiotemporal development of pattern- and motion-processing mechanisms in human infants.

Abstract: We introduce a new VEP paradigm -the Jitter Spatial Frequency (JSF) Sweep VEP -that permits efficient mapping of the spatiotemporal tuning of the developmental motion asymmetry (DMA). Vertical sinewave gratings undergoing 90 o horizontal oscillatory displacements (6 or 10 Hz) were presented while their SF was swept over 2 to 5 octaves during each VEP trial. JSF sweep VEPs were recorded from 28 infants (8-43 weeks), and symmetric (second-harmonic, F2) and asymmetric (F1) components of the VEP were measured. JSF… Show more

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Cited by 2 publications
(2 citation statements)
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“…Across analyses, results showed small to moderate effects of content and context, and large effects of picture type (faces vs. naturalistic scenes) on the CRF. In line with previous sweep-ssVEP work (Friedl & Keil, 2020;Hamer & Norcia, 2009;Song & Keil, 2014), neural activity over occipital cortex increased with increasing stimulus contrast, plateauing just before the maximum contrast (90% Michelson) was reached. Stimuli with faces showed overall greater response amplitude than naturalistic scenes depicting people or animals.…”
Section: Discussionsupporting
confidence: 89%
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“…Across analyses, results showed small to moderate effects of content and context, and large effects of picture type (faces vs. naturalistic scenes) on the CRF. In line with previous sweep-ssVEP work (Friedl & Keil, 2020;Hamer & Norcia, 2009;Song & Keil, 2014), neural activity over occipital cortex increased with increasing stimulus contrast, plateauing just before the maximum contrast (90% Michelson) was reached. Stimuli with faces showed overall greater response amplitude than naturalistic scenes depicting people or animals.…”
Section: Discussionsupporting
confidence: 89%
“…This cross-validation analysis suggests that the response parameter is a valid estimate of neural mass activity, while also providing important information on the CRF. The sweep-ssVEP method varies the dimension of interest within each trial (Hamer & Norcia, 2009;Norcia et al, 2015). Compared with the classical approach (e.g., used in ERP studies) in which each step of the dimension (e.g., contrast, spatial frequency, luminance) is presented statically in a given trial, the sweep-ssVEP method dramatically reduces the number of trials needed for a robust signal.…”
Section: Discussionmentioning
confidence: 99%