1024-channel electrophysiological recordings in macaque V1 and V4 during resting state

• Published in: Scientific data Vol. 9; no. 1; p. 77
• Main Authors: Chen, Xing, Morales-Gregorio, Aitor, Sprenger, Julia, Kleinjohann, Alexander, Sridhar, Shashwat, van Albada, Sacha J., Grün, Sonja, Roelfsema, Pieter R.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 11.03.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 631/378/116/2394; 631/378/2613/1875; 631/378/2613/2614; 631/378/3917; Animals; Arrays; Brain; Brain - physiology; Cognitive science; Conventions; Data acquisition; Data Descriptor; Data processing; Electrodes; Electrophysiological Phenomena; Electrophysiology; Humanities and Social Sciences; Information processing; Macaca; Magnetic resonance imaging; Metadata; multidisciplinary; Names; Neurons - physiology; Neuroscience; Neurosciences; Science; Science (multidisciplinary); Signal processing; Signal to noise ratio; Utility functions; Visual cortex; Visual Cortex - physiology; Visual pathways; Visual stimuli
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-022-01180-1

Co-variations in resting state activity are thought to arise from a variety of correlated inputs to neurons, such as bottom-up activity from lower areas, feedback from higher areas, recurrent processing in local circuits, and fluctuations in neuromodulatory systems. Most studies have examined resting state activity throughout the brain using MRI scans, or observed local co-variations in activity by recording from a small number of electrodes. We carried out electrophysiological recordings from over a thousand chronically implanted electrodes in the visual cortex of non-human primates, yielding a resting state dataset with unprecedentedly high channel counts and spatiotemporal resolution. Such signals could be used to observe brain waves across larger regions of cortex, offering a temporally detailed picture of brain activity. In this paper, we provide the dataset, describe the raw and processed data formats and data acquisition methods, and indicate how the data can be used to yield new insights into the ‘background’ activity that influences the processing of visual information in our brain. Measurement(s) brain activity measurement • eye movement Technology Type(s) extracellular electrophysiology recording • multi-electrode array system • infrared camera Factor Type(s) visual stimulation Sample Characteristic - Organism Macaca mulatta