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. 2011 Mar;14(2):360-71.
doi: 10.1111/j.1467-7687.2010.00987.x.

Neural signatures of number processing in human infants: evidence for two core systems underlying numerical cognition

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Neural signatures of number processing in human infants: evidence for two core systems underlying numerical cognition

Daniel C Hyde et al. Dev Sci. 2011 Mar.

Abstract

Behavioral research suggests two cognitive systems are at the foundations of numerical thinking: one for representing 1-3 objects in parallel and one for representing and comparing large, approximate numerical magnitudes. We tested for dissociable neural signatures of these systems in preverbal infants, by recording event-related potentials (ERPs) as 6-7.5 month-old infants (n = 32) viewed dot arrays containing either small (1-3) or large (8-32) sets of objects in a number alternation paradigm. If small and large numbers are represented by the same neural system, then the brain response to the arrays should scale with ratio for both number ranges, a behavioral and brain signature of the approximate numerical magnitude system obtained in animals and in human adults. Contrary to this prediction, a mid-latency positivity (P500) over parietal scalp sites was modulated by the ratio between successive large, but not small, numbers. Conversely, an earlier peaking positivity (P400) over occipital-temporal sites was modulated by the absolute cardinal value of small, but not large, numbers. These results provide evidence for two early developing systems of non-verbal numerical cognition: one that responds to small quantities as individual objects and a second that responds to large quantities as approximate numerical values. These brain signatures are functionally similar to those observed in previous studies of non-symbolic number with adults, suggesting that this dissociation may persist over vast differences in experience and formal training in mathematics.

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Figures

Figure 1
Figure 1
Schematic depiction of the number alternation conditions presented to infants. Images depict low base conditions for both experiments; the numbers used in the high base conditions are presented underneath the images. Each image was presented for 500 ms and followed by the presentation of a cross in the middle of the screen for an interval that varied randomly in duration from 500-1000 ms.
Figure 2
Figure 2
Results of parietal P500 analysis. (A). Overhead view of scalp topography for both experiments at 500 ms. White circles represent electrode grouping used to calculate mean amplitude. (B). Average evoked waveform over posterior parietal sites from −200 before stimulus presentation to 1200 ms after for both experiments. (C). Graph depicting main effect of Base Condition on mean P500 amplitudes. Error bars represent 95% confidence intervals. (D). Graph depicting main effect of Electrode Grouping on mean P500 amplitude. Error bars represent 95% confidence intervals. (E). Graph depicting interaction between Numerical Range and Ratio Change on P500. Error bars represent 95% confidence intervals.
Figure 3
Figure 3
Results of occipital-temporal P400 analysis. (A). Overhead view of scalp topography for both experiments at 400 ms. White circles represent electrode groupings used to calculate mean amplitude. (B). Average evoked waveform over occipital-temporal sites from −200 before stimulus presentation to 1200 ms after for both experiments. (C.) Graphs depicting Base Condition by Numerical Range x Ratio Change interaction on the P400 amplitude for the large number and the small number experiments separately.

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