Brain Activity and Apnoea Rates in Preterm Neonates for Personalised Caffeine Treatment

A 2026 study by Fatima Usman, this dataset contains observational data from 74 infants aged 31–36 weeks postmenstrual age, recorded on 138 separate occasions. It investigates the relationship between apnoea rate and brain age gap, measured via electroencephalography (EEG) and impedance pneumography, to assess brain activity as a biomarker for caffeine treatment.

Use Cases

• Predicting apnoea risk in preterm infants based on brain age gap derived from EEG data.
• Evaluating the efficacy of caffeine discontinuation timing by comparing outcomes in infants with mature versus immature brain activity.
• Developing algorithms for personalised caffeine dosing guidelines using brain activity as a biomarker.

Strengths

• Includes data from 74 infants across 138 recording sessions, providing multiple observations.
• Simultaneously captures brain activity (EEG) and respiration (impedance pneumography), enabling multimodal analysis.
• Released under a CC-BY-4.0 license, permitting broad reuse and adaptation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• Data is from a single-centre study, which may limit generalizability.

Provenance

Source

figshare, author Fatima Usman.

Collection Method

Single-centre prospective observational cohort study.

Time Range

Study period not specified; dataset reflects infants aged 31–36 weeks postmenstrual age.

Freshness

Last updated 2026-05-04 05:30:25; freshness should be verified.

Geography

Geography not specified; single-centre study.