Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

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 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 (ISA-Tab format)

Background & Summary

Worldwide 5–18% of babies are born before term age1 (37 weeks) and many remain in hospital for some time following birth (mean neonatal intensive care unit (NICU) stay, 9.1 days2). While in the NICU or other postnatal wards, neonates can undergo up to 12-14 tissue breaking procedures a day2,3, many with little or no analgesic therapy4. In the absence of self-report, infant pain is commonly assessed using various behavioural and physiological measures5,6. However, significant advancement in the understanding of processing of pain in the infant nervous system has come from several imaging techniques such as electroencephalography (EEG)79, near infra-red spectroscopy (NIRS)1012, and functional magnetic resonance imagining (fMRI)13,14. In particular, the discovery and analysis of nociceptive event related potentials (nERPs) have provided new insights into neonatal brain processing of acute noxious events7,9,1519.

Many factors affect an individual’s sensitivity to a noxious stimulus, even at the beginning of life. Both the level of stress8 and the sex of the infant20 have recently been shown to be factors determining pain-related activity in the brain. During their hospital stay, the severity of illness influences neonatal pain-related behaviour21: a diagnosis of jaundice can result in delayed cortical somatosensory processing22, and infections can lead to an increase in pain sensitivity23,24. The number of painful procedures that neonates are exposed to is correlated with their future brain maturation, pain-related behaviour, stress reactivity and cognitive development2530. At the time when these experiences are occurring, in the final trimester and early postnatal period, the neonatal brain undergoes significant changes in connectivity and organisation, including in areas and circuits implicated in pain processing31,32. The gradual development from non-specific bursting activity in premature infants following a painful stimulus, to a pain-specific event-related potential (nERP)15 is likely to contribute to a critical window of development, when activity dependent plasticity may determine pain sensitivity in future life.

The current dataset was collected as part of an ongoing study into the development of human neonatal pain processing. Cortical pain-related activity was recorded using EEG following a single noxious procedure (clinically required blood test)8,15. Facial expressions and physiological responses were also recorded as part of a standard composite pain score, the Premature Infant Pain Profile33 (PIPP; Fig. 1). Extensive notes were collected regarding the infant’s relevant medical and pain history up to the day of the procedure, as well as selected maternal information (Data Citation 1).

Figure 1: Study schematic. EEG and behavioural and physiological data for PIPP scoring were collected during sham control, auditory control, and noxious heel lance stimulations.

(a) Infant at 41 weeks gestational age at study on the postnatal ward, with EEG electrodes placed according to a modified 10–10 system; (b) 34 weeks gestational age at study in special care.

We present data from 112 infants (52 females; 29–47 weeks gestational age at study, 0.5–96 days postnatal age) recruited from the postnatal, special care, or intensive care wards at the Elizabeth Garrett Anderson Obstetric Wing, University College London Hospital (UCLH). The data includes 4 second epochs of a multi-channel EEG recording time-locked to heel lance, sham control, and auditory control stimuli, suitable for both ERP and time-frequency analysis. PIPP scores (plus the constituent facial expression and physiological scores) for each of the three stimuli are also provided. Moreover, information on over 100 variables has been collected from the patient notes. This information includes: the condition at birth, diagnoses, medications, previous painful procedures, and injuries. Data on maternal condition and medications is also provided.

This dataset is the first of its kind and is invaluable for those interested in pain processing in the human brain. The accompanying database of neonatal and maternal information combined with behavioural and physiological responses to both painful and control stimuli, allows initial exploration of factors that influence pain sensitivity.



One hundred and twelve neonates (Table 1) were recruited from the postnatal, special care, or intensive care wards at UCLH Elizabeth Garrett Anderson Wing (Fig. 2). The recruitment period was from June 2015 to January 2017. While this was an opportunity sample, infants were excluded if they had undergone therapeutic cooling or had Grade 4 Hypoxic Ischemic Encephalopathy (HIE), as they were too unstable for the EEG study. Written informed consent was obtained from the parents prior to each study. Additional informed consent was obtained from each parent for the use of identifiable images or videos in publications. The study was approved by the NHS Health Research Authority (London – Surrey Borders) and conformed to the standards set by the Declaration of Helsinki.

Table 1 Infant demographics.
Figure 2: Gestational age at study, sex, and type of care of the infant patient sample.

Gestational age at study in weeks represents a completed week, i.e. 29 = 29+0–29+6. Values in the pie chart are the number of babies in each type of care at the time of study.

Experimental design

Brain activity in response to noxious, sham control, and auditory control stimuli were monitored using EEG8,9,15. The noxious stimulus was a clinically required heel lance used for blood sampling performed by an experienced research nurse and time-locked to the ongoing EEG recording. To determine the PIPP score following the stimuli, the infant’s pulse, blood oxygen saturation and facial expression were monitored using a pulse oximeter and a video camera16,33,34. The research nurse recorded the infants’ relevant medical and pain history retrospectively from the patient notes, up to the day of the study.


All stimuli (heel lance, sham control, auditory control) were performed using a lancet. The heel lance was always performed last to minimise any discomfort. The auditory control preceded the sham control stimulus in 24/99 trials. The order of stimulation for each study is provided. Each stimulus was time-locked to the ongoing EEG recording using an accelerometer mounted onto the lancet, which detects the vibrations of the blade being released35. Using a custom-made trigger box, the ongoing EEG is then marked at the time of blade release (Supplementary video 1).

  1. 1

    Heel lance: The noxious stimulus was a heel lance that was clinically required to collect a blood sample and is considered as a mild painful stimulus by adults (average pain score of 2/10 from 367 adults36). Lances were never conducted for the sole purpose of the study, were performed by a trained nurse using a disposable lancet, and standard hospital practice was followed at all times. The heel was cleaned with sterile water using sterile gauze and the lancet placed against the heel for at least 30 s prior to the release of the blade. This was to obtain a baseline period free from other stimulation for both the EEG and PIPP. The heel was then squeezed 30 s after the release of the blade, again to ensure a post-stimulus period free from other stimuli. Babies were soothed as and when required. Parents were informed that they could hold their baby if they wished and babies were fed on demand throughout the study.

  2. 2

    Sham Control: The sham control stimulus was obtained in the same conditions as the lance, but in this case the blade was facing away from the heel upon its release. Thus the vibration and acoustic stimulus caused by the blade release occurs, but with no skin-break.

  3. 3

    Auditory control: The auditory control stimulus was obtained in the same conditions as the lance, but in this case the lancet was held near the foot without contact. Previous studies have used both the sham and auditory controls to ensure that the recorded brain activity during the noxious heel lance is specific to the skin-break9,16.

For each study we recorded the time of each stimulation, the stimulation site (i.e. left heel), the position and location of the infant, and the vigilance state based on behaviour, and the respiratory and EEG recordings (determined using 30 second epochs pre- and post-stimulation). During the study 53 (47%) babies were being held by a parent and 59 (53%) were in their cot. Of the babies held by a parent, 30 (57%) were prone against the parents chest, 22 (42%) were supine or lying on their side in the parents arms, and 1 (2%) was sitting upright. Prior to the heel lance, 3 (3%) infants were classified as active awake, 11 (10%) quiet awake, 55 (49%) active sleep, and 40 (38%) quiet sleep. Following the heel lance, 13 (12%) infants transitioned from sleep to wakefulness. The vigilance state of 1 infant could not be determined. The reason for the heel lance blood test (i.e. glucose), the quantity of blood required, and any distraction techniques used were recorded.


EEG recording

EEG was recorded from up to 20 electrodes (disposable Ag/AgCl cup electrodes) in addition to the ground and reference electrodes. Recording electrodes were positioned according to a modified international 10/10 electrode placement system, with high density central-parietal and posterior temporal coverage, overlying primary visual (O1, O2), primary auditory (T7, T8), association (F7, F3, F4, FCz, F8, P7, P8, TP9, TP10, POz), and somatosensory cortices (C3, Cz, C4, CP3, CPz, CP4). The reference electrode was placed at Fz and the ground electrode at either FC1 or FC2 (depending on the position of the infant). Lead I electrocardiogram (ECG) was recorded from electrodes on both shoulders and respiratory movements were monitored with a movement transducer on the abdomen. Five ECG recordings used a bipolar reference rather than Fz (right ECG referenced to the left ECG), thus these files only contain 1 ECG trace rather than a separate trace for the left and right ECG. Electrode/skin contact impedances were kept to a minimum by gently rubbing the skin with a prepping gel (NuPrep, Weaver & Co.) and then applying the electrodes with a conductive paste (10/20, Weaver & Co.). A soft bonnet was then secured over the electrodes. EEG activity, from DC to ≥500 Hz, was recorded using the Neuroscan SynAmps2 EEG/EP recording system. Signals were digitised with a sampling rate of 2 kHz and a resolution of 24 bit. EEG was assessed by an experienced clinical scientist. All infants tested had an EEG within normal limits for their gestational age at study based on age-appropriate features, synchrony and symmetry of EEG activity between hemispheres, and absence of electrographic seizures37,38.


The EEG recordings were converted into EEGLAB (Swartz Center for Computational Neuroscience) data structures and segmented into 4 second epochs (2 seconds pre- and post-stimulus). No pre-processing was performed except for one file (253501L01) which was downsampled from 5 kHz to 2 kHz using EEGLAB. Each file contains the data from the EEG electrodes, ECG, and respiration transducer, with a trigger (denoted with “4” or “8”) indicating the onset of the stimulus at 0 s. Heel lance epochs are available for all 112 subjects, sham and auditory controls are available for 99 subjects. Missing control trials are due to: 1) control stimulation being added to the protocol after a pilot phase, 2) technical issues or the infant becoming restless during recording.

Recording behavioural and physiological data

Infant facial expression was recorded on video and synchronised with the EEG recording with an LED light placed within the frame and activated by the blade release (Supplementary video 1). Beat-by-beat blood oxygenation and heart rate were monitored with a pulse oximeter (Nellcor Oximax) using a flexible infant probe wrapped around the lateral aspect of the non-stimulated foot and held in place using a soft Velcro strap. Using a custom MATLAB script data was stored and marked at the time of the heel lance trigger.

Premature Infant Pain Profile

The Premature Infant Pain Profile (PIPP) is a commonly used clinical pain scoring system33. PIPP scores were calculated following the heel lance and the two control stimulations by combining facial expression and physiological measures. The facial expression score includes the percentage of time (out of 30 s) that a brow bulge, eye squeeze, and naso-labial furrow are exhibited during the 30 s post-stimulus period. A score of 1–3 is given for each facial expression and then combined. It is also noted if any of these facial expressions were present during the 15 s baseline period. For the physiological measure, the heart rate and blood oxygenation scores were determined by the difference between the mean values during the pre-stimulus period (15 s) and the maximum or minimum (respectively) values 30 s post-stimulus, again a score of 1-3 is given for each. The vigilance state at baseline was also assessed behaviourally, and classified as either active awake, quiet awake, active sleep or quiet sleep. The maximum PIPP score, obtained by summing the facial expression, physiological, and behavioural state scores, and adjusting for gestational age at study, is 21 with 0–6 indicating minimal/no pain, 7–12 slight/moderate pain, and >12 severe pain (for original description of the scoring procedure see33). The PIPP score is not available for all infants due to the infant moving out of the video frame, infant obscuring face with arms, or technical issues resulting in physiological data not being marked by a trigger. There are 79, 67, and 70 complete PIPP scores for the noxious heel lance, sham control, and auditory control stimuli, respectively.

Patient notes

Infant notes

Detailed notes were retrieved from several sources: (1) Nursing charts logging blood gas results, serum bilirubin levels (SBR), haematology results, microbiology results, observations chart (e.g. vital signs and urine output), feeding times and volume, and medications chart. (2) Cranial ultrasound and other imaging results (e.g. MRI). (3) Echocardiography results. (4) Specialist reports in case of referrals, from within or outside the department. (5) Contemporaneous notes (logging of each event as and when it occurs). All sources were used to record ongoing or resolved diagnoses and painful procedures up to the day of the study (Fig. 3). Previous heel lances were also recorded. No infants in this sample had undergone surgery prior to the day of study.

Figure 3: Diagnoses and procedures.

(a) Frequency of each diagnoses within the sample. This includes those that were resolved (at least 3 days prior to day of study) and those that were ongoing around time of study (within 3 days prior to, or on the day of the study). Diagnoses with a frequency of 0 are not included (hypertension, adrenal insufficiency, hypothyroidism, and seizures). (b) Percentage of painful procedures. Lance (62%) and all other (38%) out of a total of 3661 procedures across all the subjects within the sample.

Maternal notes

Following additional consent from parents we recorded the mother’s medications and any medical conditions. This information was collected using the electronic drug charts and maternal medical notes or provided by the midwives if these were not available. Maternal information was only collected if the baby was <3 days old or breast feeding and therefore likely to be directly influenced by such factors.

Code availability

Custom written MATLAB code was used to export and store the data from the pulse oximeter. This code is specific to the data produced by the Nellcor N-560 pulse oximeter using MATLAB version R2011b (The Mathworks, MA, USA), and is available upon request from the corresponding author. This code exports the pulse rate and blood oxygen saturation percentage every 2 s into a .txt file.

Data Records

Data retrieval

All the data described can be downloaded from ReShare (Data Citation 1). This includes: 4 s raw EEG files for the heel lance, sham control, and auditory control stimuli, infant demographics, details of the EEG recording, stimulation information including PIPP scores, infant patient notes including pain history and relevant medical information, and maternal patient notes. This data contains sensitive medical information, although anonymised. For this reason, access to the data will be under the terms and conditions for safeguarded data (as detailed in ReShare: but is available upon request to any medical or research professional.

Also available with these data records is a summary of the methods and a detailed description of the organisation and contents of the EEG files and pain and medical history database.

Data format and organisation

A parent folder (“Database”) contains excel spreadsheets pertaining to “Infant demographics”, “Study details”, “Stimulation information”, “Infant patient notes”, and “Maternal patient notes”. Table 2 provides the names of the sheets within each excel file. The first column in each sheet contains the “record identifier”, which is unique for each infant studied and links the information across all the sheets and excel files. The “Stimulation information” file has a sheet for each of the 3 stimulation types and the second column of each of these sheets contains the name of the infant’s EEG file (“EEG file name”). This file name is the record identifier, appended with the stimulation type identifier: L01 (heel lance), C01 (sham control), or A01 (auditory control). One sham control file is named “C02” as the first event failed to trigger and was therefore repeated. The time difference between the first and second attempt was 2 minutes. The EEG files are stored in folders by infant (112 folders) within a second parent folder “EEG” (<EEG file name>.mat).

Table 2 Names of database files and sheets.

Technical Validation


EEG was recorded according to clinical standards by an experienced clinical scientist. Clinical guidelines suggest recording ECG and respiratory data with the EEG. The ECG highlights episodes of tachycardia and bradycardia which are common in pre-term infants, with bradycardia episodes often associated with apnoea and desaturation39,40. Both ECG and respiratory data improve the detection of artefacts such as associated with heart rate or widespread movement41, and inform infant sleep staging42,43.

We adopted a protocol optimised for the acquisition of EEG within a hospital ward environment. The research nurse wore anti-static nursing clogs (ToffeIn) and apron. The clinical scientist monitored the EEG throughout the study and only signalled the nurse to proceed when the EEG was clear of artefacts. EEG characteristics, such as the presence of delta brushes, were assessed and have been made available in the “Study details”.

To assess the quality of the data and potential pain-related ERP, using MATLAB and EEGLAB, raw data were filtered with second-order bidirectional Butterworth bandpass (1–30 Hz) and notch (48–52 Hz) filters and epoched between 0.5 s prior to and 1 s following the stimulus. Baseline correction was carried out using the pre-stimulus interval. Epochs contaminated with movement artifact (signal exceeding ± 100 μV) or delta brush activity (characterised by high voltage delta activity with over-riding alpha-beta oscillations, typically ranging between 50 and 300 μV44), around the time of the nERP were removed. Figure 4 shows the average ERP response at Cz following the heel lance, sham control, and auditory control stimulation. The N2 and P2 component of the ERP can be seen in all three average waveforms, but the pain-related ERPs (N3 and P3) only following the noxious heel lance9.

Figure 4: Average waveforms and topographical plots.

Group average waveforms at Cz and corresponding topographic maps for each ERP following heel lance (top), sham control (middle), and auditory control (bottom) stimulation. Stimulus onset at 0 ms is marked by the vertical black dashed line. Standard deviation is represented by the grey dashed lines.

Premature infant pain profile (PIPP)

The physiological score of the Premature Infant Pain Profile (PIPP) does not require technical validation because it is directly calculated from data collected using clinical standards (pulse oximetry). Facial expression scoring was performed off site using the video recording of the infant’s face. This allowed for repeated viewing and more accurate scoring. Videos were scored by a single neonatal research nurse for consistency. The nurse was trained by a post-doctoral researcher with experience in PIPP scoring using a 5 trials sample.

According to the PIPP, 60% of infants had a mild to no pain response to heel lance, 34% moderate, and 6% severe. The average PIPP score following the heel lance is significantly higher than control scores (mean = 7, range = 2–17; sham: t = 6.40, p < 0.001; auditory: t = 5.94, p < 0.001), which are not significantly different from each other (sham: mean = 4, range = 1–10; auditory: mean = 4, range = 1–13; t = 0.61, p = 0.546). The range of PIPP scores following the heel lance is consistent with previous reports34,45.

Simultaneous recordings

The system that simultaneously marks EEG, pulse oximetry and video has been extensively tested for accuracy35 and used in previous research8,46. The system can detect the release of the blade from the lancet with 100% sensitivity and specificity and the timing of the stimulus is determined with a precision of 33 μs.

Patient notes

Pain history and relevant medical information were obtained from the patient notes and collected by an experienced nurse. Whenever possible, missing information or diagnoses requiring follow up tests were collected from the notes at a later date.

Additional information

How to cite this article: Jones, L. et al. EEG, behavioural and physiological recordings following a painful procedure in human neonates. Sci. Data. 5:180248 doi: 10.1038/sdata.2018.248 (2018).

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.



  1. 1

    World Health Organisation. Preterm birth: Fact sheet (2018).

  2. 2

    Simons, S. H. P. et al. Do we still hurt newborn Babies?: A prospective study of procedural pain and analgesia in neonates. Arch. Pediatr. Adolesc. Med. 157, 1058–1064 (2003).

    Article  Google Scholar 

  3. 3

    Carbajal, R. et al. Epidemiology and treatment of painful procedures in neonates in intensive care units. JAMA 300, 60–70 (2008).

    CAS  Article  Google Scholar 

  4. 4

    Cruz, M. D., Fernandes, A. M. & Oliveira, C. R. Epidemiology of painful procedures performed in neonates: A systematic review of observational studies. Eur. J. Pain 20, 489–498 (2016).

    CAS  Article  Google Scholar 

  5. 5

    Franck, L. S. & Miaskowski, C. Measurement of neonatal responses to painful stimuli: A research review. J. Pain Symptom Manage. 14, 343–378 (1997).

    CAS  Article  Google Scholar 

  6. 6

    Holsti, L. & Grunau, R. E. Initial validation of the Behavioral Indicators of Infant Pain (BIIP). PAIN 132, 264–272 (2007).

    Article  Google Scholar 

  7. 7

    Hartley, C. et al. Nociceptive brain activity as a measure of analgesic efficacy in infants. Sci. Transl. Med. 9, eaah6122 (2017).

    Article  Google Scholar 

  8. 8

    Jones, L. et al. Nociceptive cortical activity is dissociated from nociceptive behavior in newborn human infants under stress. Curr. Biol. 27, 1–6 (2017).

    MathSciNet  Article  Google Scholar 

  9. 9

    Slater, R. et al. Evoked potentials generated by noxious stimulation in the human infant brain. Eur. J. Pain 14, 321–326 (2010).

    Article  Google Scholar 

  10. 10

    Bartocci, M., Bergqvist, L. L., Lagercrantz, H. & Anand, K. J. S. Pain activates cortical areas in the preterm newborn brain. PAIN 122, 109–117 (2006).

    Article  Google Scholar 

  11. 11

    Slater, R. et al. Cortical pain responses in human infants. J. Neurosci. 26, 3662–3666 (2006).

    CAS  Article  Google Scholar 

  12. 12

    Verriotis, M. et al. Mapping cortical responses to somatosensory stimuli in human infants with simultaneous near-infrared spectroscopy and event-related potential recording. eNeuro. ENEURO.0026-16.2016 (2016).

  13. 13

    Goksan, S. et al. fMRI reveals neural activity overlap between adult and infant pain. eLife 4 (2015).

  14. 14

    Williams, G. et al. Functional magnetic resonance imaging can be used to explore tactile and nociceptive processing in the infant brain. Acta Paediatr. 104, 158–166 (2015).

    Article  Google Scholar 

  15. 15

    Fabrizi, L. et al. A shift in sensory processing that enables the developing human brain to discriminate touch from pain. Curr. Biol. 21, 1552–1558 (2011).

    CAS  Article  Google Scholar 

  16. 16

    Slater, R. et al. Oral sucrose as an analgesic drug for procedural pain in newborn infants: A randomised controlled trial. The Lancet 376, 1225–1232 (2010).

    CAS  Article  Google Scholar 

  17. 17

    Hartley, C. et al. Changing balance of spinal cord excitability and nociceptive brain activity in early human development. Curr. Biol. 26, 1998–2002 (2016).

    CAS  Article  Google Scholar 

  18. 18

    Slater, R. et al. Premature infants display increased noxious-evoked neuronal activity in the brain compared to healthy age-matched term-born infants. NeuroImage 52, 583–589 (2010).

    Article  Google Scholar 

  19. 19

    Hartley, C. et al. The relationship between nociceptive brain activity, spinal reflex withdrawal and behaviour in newborn infants. Sci. Rep 5, 12519 (2015).

    CAS  ADS  Article  Google Scholar 

  20. 20

    Verriotis, M. et al. The distribution of pain activity across the human neonatal brain is sex dependent. NeuroImage 178, 69–77 (2018).

    Article  Google Scholar 

  21. 21

    Stevens, B. J., Johnston, C. C. & Horton, L. Factors that influence the behavioral pain responses of premature infants. Pain 59, 101–109 (1994).

    CAS  Article  Google Scholar 

  22. 22

    Bongers-Schokking, J. J., Colon, E. J., Hoogland, R. A., Brande, J. L. V. V. D. & Groot, C. J. D. Somatosensory evoked potentials in neonatal jaundice. Acta Pædiatrica 79, 148–155 (1990).

    CAS  Article  Google Scholar 

  23. 23

    Barr, G. A. & Hunter, D. A. Interactions between glia, the immune system and pain processes during early development. Dev. Psychobiol. 56, 1698–1710 (2014).

    Article  Google Scholar 

  24. 24

    Beggs, S., Currie, G., Salter, M. W., Fitzgerald, M. & Walker, S. M. Priming of adult pain responses by neonatal pain experience: Maintenance by central neuroimmune activity. Brain 135, 404–417 (2012).

    Article  Google Scholar 

  25. 25

    Anand, K. J. S. Pain, plasticity, and premature birth: A prescription for permanent suffering? Nat. Med 6, 971–973 (2000).

    CAS  Article  Google Scholar 

  26. 26

    Anand, K. J. S., Coskun, V., Thrivikraman, K. V., Nemeroff, C. B. & Plotsky, P. M. Long-term behavioral effects of repetitive pain in neonatal rat pups. Physiol. Behav. 66, 627–637 (1999).

    CAS  Article  Google Scholar 

  27. 27

    Grunau, R. E., Oberlander, T. F., Whitfield, M. F., Fitzgerald, C. & Lee, S. K. Demographic and therapeutic determinants of pain reactivity in very low birth weight neonates at 32 weeks’ postconceptional age. Pediatrics 107, 105–112 (2001).

    CAS  Article  Google Scholar 

  28. 28

    Schneider, J. et al. Procedural pain and oral glucose in preterm neonates: Brain development and sex-specific effects. Pain 159, 515–525 (2018).

    CAS  Article  Google Scholar 

  29. 29

    Schwaller, F. & Fitzgerald, M. The consequences of pain in early life: Injury-induced plasticity in developing pain pathways. Eur. J. Neurosci. 39, 344–352 (2014).

    Article  Google Scholar 

  30. 30

    Walker, S. M. Translational studies identify long-term impact of prior neonatal pain experience. PAIN 158, S29–S42 (2017).

    Article  Google Scholar 

  31. 31

    Fitzgerald, M. The development of nociceptive circuits. Nat. Rev. Neurosci. 6, 507–520 (2005).

    CAS  Article  Google Scholar 

  32. 32

    Verriotis, M., Chang, P., Fitzgerald, M. & Fabrizi, L. The development of the nociceptive brain. Neuroscience 338, 207–219 (2016).

    CAS  Article  Google Scholar 

  33. 33

    Stevens, B., Johnston, C., Petryshen, P. & Taddio, A. Premature Infant Pain Profile: Development and initial validation. Clin. J. Pain 12, 13–22 (1996).

    CAS  Article  Google Scholar 

  34. 34

    Slater, R., Cantarella, A., Franck, L., Meek, J. & Fitzgerald, M. How well do clinical pain assessment tools reflect pain in infants? PLOS Med. 5, e129 (2008).

    Article  Google Scholar 

  35. 35

    Worley, A., Fabrizi, L., Boyd, S. & Slater, R. Multi-modal pain measurements in infants. J. Neurosci. Methods 205, 252–257 (2012).

    CAS  Article  Google Scholar 

  36. 36

    Laudiano-Dray, M. et al. A novel neonatal procedural pain index derived from adult self-report., Preprint at (2018).

    Google Scholar 

  37. 37

    André, M. et al. Electroencephalography in premature and full-term infants. Developmental features and glossary. Neurophysiol. Clin. Neurophysiol. 40, 59–124 (2010).

    Article  Google Scholar 

  38. 38

    Tsuchida, T. N. et al. American clinical neurophysiology society standardized eeg terminology and categorization for the description of continuous EEG monitoring in neonates: Report of the American clinical neurophysiology society critical care monitoring committee. J. Clin. Neurophysiol. 30, 161–173 (2013).

    Article  Google Scholar 

  39. 39

    Shellhaas, R. A. Continuous electroencephalography monitoring in neonates. Curr. Neurol. Neurosci. Rep. 12, 429–435 (2012).

    Article  Google Scholar 

  40. 40

    Shellhaas, R. A. et al. The American clinical neurophysiology society’s guideline on continuous electroencephalography monitoring in neonates. J. Clin. Neurophysiol. 28, 611–617 (2011).

    Article  Google Scholar 

  41. 41

    Sörnmo, L. & Laguna, P. Bioelectrical Signal Processing in Cardiac and Neurological Applications, Academic Press (2005).

  42. 42

    Grigg-Damberger, M. M. The visual scoring of sleep in infants 0 to 2 months of age. J. Clin. Sleep Med. Off. Publ. Am. Acad. Sleep Med. 12, 429–445 (2016).

    Article  Google Scholar 

  43. 43

    Whitehead, K., Laudiano-Dray, M., Meek, J. & Fabrizi, L. Emergence of mature cortical activity in wakefulness and sleep in healthy pre-term and full-term infants. Sleep 41, 1–9 (2018).

    Article  Google Scholar 

  44. 44

    Whitehead, K., Pressler, R. & Fabrizi, L. Characteristics and clinical significance of delta brushes in the EEG of premature infants. Clin. Neurophysiol. Pract 2, 12–18 (2017).

    Article  Google Scholar 

  45. 45

    Slater, R. et al. Latency to facial expression change following noxious stimulation in infants is dependent on postmenstrual age. PAIN 146, 177–182 (2009).

    Article  Google Scholar 

  46. 46

    Fabrizi, L. et al. Encoding of mechanical nociception differs in the adult and infant brain. Sci. Rep 6 (2016).

  47. 47

    Engle, W. A. Age terminology during the perinatal period. Pediatrics 114, 1362–1364 (2004).

    Article  Google Scholar 

  48. 48

    Richardson, D. K., Corcoran, J. D., Escobar, G. J. & Lee, S. K. SNAP-II and SNAPPE-II: Simplified newborn illness severity and mortality risk scores. J. Pediatr. 138, 92–100 (2001).

    CAS  Article  Google Scholar 

Data Citations

  1. 1

    Jones, L. et al. UK Data Service (2018)

Download references


This work was funded by the Medical Research Council UK (MR/M006468/1 and MR/L019248/1), with support from the UCLH/UCL Comprehensive Biomedical Research Centre, and was performed at the National Institute for Health Research/Wellcome UCLH Clinical Research Facility and UCLH Neonatal Unit. The authors thank the families of the infants that participated in this research, and the staff of the postnatal, special care, and intensive care wards at UCLH.

Author information




Creation and maintenance of database: L.J.; Study data collection: K.W., P.L.-D., L.J.; Collection of pain history data: P.L.-D.; PIPP scoring: P.L.-D.; Data entry: P.L.-D.; EEG assessment: K.W.; Manuscript preparation: L.J.; Critical comments and revision of manuscript: L.J., P.L.-D., K.W., L.F., M.F., J.M.

Corresponding author

Correspondence to Laura Jones.

Ethics declarations

Competing interests

The authors declare no competing interests.

ISA-Tab metadata

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit The Creative Commons Public Domain Dedication waiver applies to the metadata files made available in this article.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Jones, L., Laudiano-Dray, M., Whitehead, K. et al. EEG, behavioural and physiological recordings following a painful procedure in human neonates. Sci Data 5, 180248 (2018).

Download citation

Further reading


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing