Neural Noise

Longitudinal multitask wireless ECoG data from two fully implanted nonhuman primates

2 min read

  • An open ECoG dataset was released from two fully implanted, wireless nonhuman primates with longitudinal multitask design.1
  • The dataset supports neural signal processing and BCI methods development and provides a reusable benchmark.1
  • It informs implant reliability and task design for chronic wireless ECoG.1 1

Weekly enrichment (2026-07-20)

  • The dataset comprises chronic wireless ECoG from two adult Japanese macaques (Macaca fuscata), labelled “monkeyb” and “monkeyc” (ages 8–9 years), spanning hundreds of postoperative days.23
  • Each animal received bilateral subdural ECoG arrays targeting the sensorimotor cortices plus a fully implantable, inductively powered wireless transmission unit, which minimizes the confounds of percutaneous wiring.2
  • Recordings cover 32 ECoG channels plus 16 trigger and 1 misc channel, acquired several times each week.4
  • Behavioral and stimulus conditions span resting state, auditory listening paradigms, voluntary button presses, reaching movements, and somatosensory evoked potentials.2
  • All signals, event annotations, and metadata follow the BIDS extension for intracranial EEG (iEEG), with 258 sessions (about 9 scans per session) and 870 event files, released under a permissive CC0 license.24
  • The release totals roughly 5,474 files (~41.2 GB) and is publicly available on OpenNeuro under accession ds006890 (DOI 10.18112/openneuro.ds006890.v1.0.0).34
  • Raw recordings were converted to EDF using the open-source pyEDFlib library (v0.1.36); missing samples were linearly interpolated and flagged in a dedicated mask channel so they can be excluded downstream.2
  • The authors verified data quality and stability through impedance monitoring, power spectral analyses, and task-specific event-related measures across the recording period, positioning the set as a reusable longitudinal benchmark for chronic wireless BCI research.2

Footnotes

  1. https://news.google.com/rss/articles/CBMiX0FVX3lxTFA4V2ppOFEtTF9leGNoOGlPX2JydTB4VXZNU1hfdW1pT09OQ3RlV19JUGpkbGFvUHZoendqTl9qc2JFWWtxUU5vVUhTNk5zdU4tSTU4NE1xcndMTzV1TzB3?oc=5 ↩ ↩2 ↩3 ↩4

  2. https://www.nature.com/articles/s41597-025-06359-w ↩ ↩2 ↩3 ↩4 ↩5 ↩6

  3. https://openneuro.org/datasets/ds006890 ↩ ↩2

  4. https://nemar.org/dataexplorer/detail?dataset_id=ds006890 ↩ ↩2 ↩3

Graph View