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<p>We present a unique dataset of chronic wireless electrocorticography (ECoG) recordings obtained from two fully implanted nonhuman primates (adult Japanese macaques, <i>Macaca fuscata</i>) spanning hundreds of days post implantation. Each animal was equipped with bilateral subdural ECoG arrays targeting the sensorimotor cortices and a fully implantable wireless transmission unit. The dataset involves multiple tasks, including resting-state measurements, auditory listening paradigms, voluntary button presses, reaching movements, and somatosensory evoked potentials, providing a broad range of behavioural and stimulus conditions. All raw signals, event annotations, and metadata are organized according to the Brain Imaging Data Structure (BIDS) extension for intracranial electrophysiology, ensuring ease of reuse and interoperability with common neurophysiological software. We verified the data quality and stability through impedance monitoring, power spectral analyses, and task-specific event-related measures across the recording period, confirming the reliability and consistency of the ECoG signals. By offering open access to these longitudinal wireless ECoG data, we aim to facilitate the acquisition of new insights into long-term cortical dynamics and advance brain–computer interface (BCI) research.</p>

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Longitudinal multitask wireless electrocorticography data from two fully implanted nonhuman primates

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月11日

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  • Huixiang Yang,
  • Ryohei Fukuma,
  • Tomoyuki Namima,
  • Kotaro Okuda,
  • Asaya Nishi,
  • Takamitsu Iwata,
  • Abdi Reza,
  • Kota S. Sasaki,
  • Taro Kaiju,
  • Gurlal Gill,
  • Haruhiko Kishima,
  • Shinji Nishimoto,
  • Takufumi Yanagisawa

摘要

We present a unique dataset of chronic wireless electrocorticography (ECoG) recordings obtained from two fully implanted nonhuman primates (adult Japanese macaques, Macaca fuscata) spanning hundreds of days post implantation. Each animal was equipped with bilateral subdural ECoG arrays targeting the sensorimotor cortices and a fully implantable wireless transmission unit. The dataset involves multiple tasks, including resting-state measurements, auditory listening paradigms, voluntary button presses, reaching movements, and somatosensory evoked potentials, providing a broad range of behavioural and stimulus conditions. All raw signals, event annotations, and metadata are organized according to the Brain Imaging Data Structure (BIDS) extension for intracranial electrophysiology, ensuring ease of reuse and interoperability with common neurophysiological software. We verified the data quality and stability through impedance monitoring, power spectral analyses, and task-specific event-related measures across the recording period, confirming the reliability and consistency of the ECoG signals. By offering open access to these longitudinal wireless ECoG data, we aim to facilitate the acquisition of new insights into long-term cortical dynamics and advance brain–computer interface (BCI) research.