The goal of readNSx
is to read in Blackrock-Microsystem
files (.nev
, .nsx
) and save the information to common formats that are well-supported by R, Python, Matlab.
The package is on CRAN
soon. Install it via
install.packages("readNSx")
You can install the nightly development version of readNSx
from r-universe
# Enable repository from dipterix
options(repos = c(
dipterix = 'https://dipterix.r-universe.dev',
CRAN = 'https://cloud.r-project.org'))
# Download and install readNSx in R
install.packages('readNSx')
Click here to read "not that detailed" manual including usage, anatomy of readNSx
.
To import the data into RAVE (R Analysis and Visualization of iEEG)
, use the following code as an example.
readNSx::import_nsp(
path = "~/EMU_RAW/EMU-008_sub-YAB_task-congruency_run-01_NSP-1.nev",
prefix = "~/rave_data/raw/YAB/block008",
exclude_events = "spike", partition_prefix = "_part"
)
The raw data is stored as EMU-008_sub-YAB_task-congruency_run-01_NSP-1.nev
along with ns3
and ns5
. The data will be written to RAVE
raw-data path under ~/rave_data/raw/
, as YAB/block008_part1
, YAB/block008_part2
, ... (one block of data may contain multiple segments of continuous recordings). The above example also avoids reading default spike-waveforms
. Simply set exclude_events=NULL
will enable default spike clusters. If you just want to import certain NSx
files (for example, only ns3
), then check exclude_nsx
parameter.
Blackrock-Microsystem
data is incompatible with BIDS
. It lacks several critical information and require manually edits. However, you may use import_nsp
to import into BIDS
-like format.
readNSx::import_nsp(
path = "~/EMU_RAW/EMU-008_sub-YAB_task-congruency_run-01_NSP-1.nev",
prefix = file.path(
"~/BIDSRoot/MyDataSet/sub-YAB/ses-008/ieeg/",
"sub-YAB_ses-008_task-congruency_acq-NSP1_run-01"
),
exclude_events = "spike", partition_prefix = "/part"
)
(This is not legal notice. Please seek for professional advice)
The source code of readNSx
is freely available for educational use. Some components might subject to Blackrock
copyright. Please contact Blackrock
for permissions if your software is not free.
readNSx
is released under MPL-2.0
license with copyright information. To link readNSx
in your project (e.g. via R library(readNSx)
function), you do NOT need to change your license (even for proprietary projects, this makes me prefer MPL-2.0
to other strong copyleft licenses as GPL
) other than including the copyright information when redistributing (see LICENSE
file).
In some rare cases, if you redistribute source code, either modified or as-is outside of your organization, you must release the code under MPL-2.0
license. The license file explicitly states that the source code is incompatible with any other license (including GPL
, see Exhibit B - “Incompatible With Secondary Licenses” Notice
in the license file).