Open-access dataset of macaque brain published

Date:
March 11, 2022
Source:
Netherlands Institute for Neuroscience - KNAW
Summary:
Researchers have published a dataset that was recorded from the
visual cortex of monkeys during the resting state. The dataset
consists of electrophysiology data that was recorded from the
visual cortex (V1 and V4) of two monkeys, from 1024 recording sites
simultaneously during the resting state, and it also includes
supporting datasets obtained while the monkeys performed visual
tasks.



FULL STORY ========================================================================== Researchers from the Netherlands Institute for Neuroscience (NIN)
have published a dataset that was recorded from the visual cortex of
monkeys during the resting state. The dataset can be shared with other researchers for analysis, used as teaching material and/or serve as a
template for future publications of large electrophysiology datasets,
therefore less monkeys are needed for research. The dataset was collected
at the NIN and prepared for publication by the NIN and collaborators at
Juelich University and Aachen University (Germany).


==========================================================================
The dataset consists of electrophysiology data that was recorded from
the visual cortex (V1 and V4) of two monkeys, from 1024 recording sites simultaneously during the resting state, and it also includes supporting datasets obtained while the monkeys performed visual tasks. The data
provide a picture of neuronal activity across large regions of the
visual cortex at an unprecedented spatial and temporal resolution, with high-density receptive field coverage. The dataset includes data in their 'rawest' form, to enable their broadest use, as well as processed data
to facilitate analysis of commonly used neuronal signals.

Spatially and temporally detailed picture The recordings can be utilized
to observe brain waves across larger regions of cortex, offering a spatiotemporally 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'', says Xing Chen,
Senior researcher at the Vision and Cognition lab at the NIN.

Most studies have either examined resting state activity throughout the
brain using MRI scans -- a non-invasive medical imaging technique -- or
by recording activity from a small number of implanted electrodes. The
Vision & Cognition lab, led by Professor Pieter Roelfsema, carried out recordings from over a thousand chronically implanted electrodes in the
visual cortex of non-human primates, yielding a resting state dataset
with a high spatialtemporal resolution -- a very detailed and accurate observation. ''Part of our dataset has already been used successfully
to investigate the neural correlates of brain activity obtained via non-invasive imaging,'' says Chen.

Open access A Data Descriptor article accompanies the dataset. The article includes a thorough description of the scientific insights that could be obtained from the data, data formats, and methods of data acquisition
and processing. Included are sections on Data Records (describing data
usage and file formats); Technical Validation (to validate the data
for usability and correctness); and Code Availability (describing the
scripts used for data collection, processing, and analysis).

''This dataset allows other scientists to derive new fundamental neuroscientific insights into underlying activity that influences the processing of visual information in our brain,'' says Chen. The dataset
has been published under an open-access Creative Commons license for
other researchers so that everyone can access the data.


========================================================================== Story Source: Materials provided by Netherlands_Institute_for_Neuroscience_-_KNAW. Note: Content may be
edited for style and length.


========================================================================== Journal Reference:
1. Xing Chen, Aitor Morales-Gregorio, Julia Sprenger, Alexander
Kleinjohann,
Shashwat Sridhar, Sacha J. van Albada, Sonja Gru"n, Pieter
R. Roelfsema.

1024-channel electrophysiological recordings in macaque V1
and V4 during resting state. Scientific Data, 2022; 9 (1) DOI:
10.1038/s41597-022- 01180-1 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2022/03/220311095301.htm

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