Dataset Information

Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants.

ABSTRACT: From infancy onwards, EEG is widely used to measure face-categorization, i.e. differential brain activity to faces versus non-face stimuli. Four ERP components likely signal infants' face-sensitivity but reflect different underlying mechanisms: the P1, N290, P400, Nc. We test whether these components reveal similar developmental patterns from early to late infancy, using a longitudinal dataset of 80 infants tested at 5 and 10 months. The P1, N290, and the Nc show face-categorization already in 5-months-olds, a pattern which did not change over time. Development is visible as increased amplitudes in all components, but similar for face and non-face stimuli. By using Markov models, we illustrate that there are differences in the distribution of individual trajectories of face-categorization components from 5 to 10 months. Whereas individual trajectories appear more varied for the Nc and the P1, the N290 reveals a more consistent pattern: a larger proportion of 5-month-olds shows the dominant group response; a larger proportion of 10-month-olds remains in this group, and larger proportions of the alternative trajectories from 5- to 10-month-olds move towards the dominant group. This is vital information when one wants to examine individual differences in infant ERPs related to face-categorization.

SUBMITTER: Di Lorenzo R

PROVIDER: S-EPMC7476229 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants.

Di Lorenzo Renata R van den Boomen Carlijn C Kemner Chantal C Junge Caroline C

Developmental cognitive neuroscience 20200816

From infancy onwards, EEG is widely used to measure face-categorization, i.e. differential brain activity to faces versus non-face stimuli. Four ERP components likely signal infants' face-sensitivity but reflect different underlying mechanisms: the P1, N290, P400, Nc. We test whether these components reveal similar developmental patterns from early to late infancy, using a longitudinal dataset of 80 infants tested at 5 and 10 months. The P1, N290, and the Nc show face-categorization already in 5 ...[more]

PMID: 32877890

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Project description:Visual categorization is integral for our interaction with the natural environment. In this process, similar selective responses are produced to a class of variable visual inputs. Whether categorization is supported by partial (graded) or absolute (all-or-none) neural responses in high-level human brain regions is largely unknown. We address this issue with a novel frequency-sweep paradigm probing the evolution of face categorization responses between the minimal and optimal stimulus presentation times. In a first experiment, natural images of variable non-face objects were progressively swept from 120 to 3 ?Hz (8.33-333 ?ms duration) in rapid serial visual presentation sequences. Widely variable face exemplars appeared every 1 ?s, enabling an implicit frequency-tagged face-categorization electroencephalographic (EEG) response at 1 ?Hz. Face-categorization activity emerged with stimulus durations as brief as 17 ?ms (17-83 ?ms across individual participants) but was significant with 33 ?ms durations at the group level. The face categorization response amplitude increased until 83 ?ms stimulus duration (12 ?Hz), implying graded categorization responses. In a second EEG experiment, faces appeared non-periodically throughout such sequences at fixed presentation rates, while participants explicitly categorized faces. A strong correlation between response amplitude and behavioral accuracy across frequency rates suggested that dilution from missed categorizations, rather than a decreased response to each face stimulus, accounted for the graded categorization responses as found in Experiment 1. This was supported by (1) the absence of neural responses to faces that participants failed to categorize explicitly in Experiment 2 and (2) equivalent amplitudes and spatio-temporal signatures of neural responses to behaviorally categorized faces across presentation rates. Overall, these observations provide original evidence that high-level visual categorization of faces, starting at about 100 ?ms following stimulus onset in the human brain, is variable across observers tested under tight temporal constraints, but occurs in an all-or-none fashion.

Dataset Information

Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants.

Publications

Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants.

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