EEG, behavioural and physiological recordings following a painful procedure in human neonates
We present a dataset of cortical, behavioural, and physiological responses following a single, clinically required noxious stimulus in a neonatal sample. Cortical activity was recorded from 112 neonates (29–47 weeks gestational age at study) using a 20-channel electroencephalogram (EEG), which was t...
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Veröffentlicht in: | Scientific data 2018-11, Vol.5 (1), p.180248-180248, Article 180248 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | We present a dataset of cortical, behavioural, and physiological responses following a single, clinically required noxious stimulus in a neonatal sample. Cortical activity was recorded from 112 neonates (29–47 weeks gestational age at study) using a 20-channel electroencephalogram (EEG), which was time-locked to a heel lance. This data is linked to pain-related behaviour (facial expression), physiology (heart rate, oxygenation) and a composite clinical score (Premature Infant Pain Profile, PIPP). The dataset includes responses to non-noxious sham and auditory controls. The infants’ relevant medical and pain history was collected up to the day of the study and recorded in an extensive database of variables including clinical condition at birth, diagnoses, medications, previous painful procedures, injuries, and selected maternal information. This dataset can be used to investigate the cortical, physiological, and behavioural pain-related processing in human infants and to evaluate the impact of medical conditions and experiences upon the infant response to noxious stimuli. Furthermore, it provides information on the formation of individual pain phenotypes.
Design Type(s)
observational design
Measurement Type(s)
brain activity measurement • behavioral response to pain
Technology Type(s)
electroencephalography • observational method
Factor Type(s)
biological sex • gestational age • age • experimental condition
Sample Characteristic(s)
Homo sapiens
Machine-accessible metadata file describing the reported data
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ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/sdata.2018.248 |