Neural and behavioural data supporting the findings of the paper "Spelling Interface using Introcortical Signals in a Completely Locked-In Patient enabled via Auditory Neurofeedback Training".

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README.md

Spelling Interface using Introcortical Signals in a Completely Locked-In Patient enabled via Auditory Neurofeedback Training

The dataset in this repository accompanies an article published in Nature Communications. In case you use the data, please cite the paper:

Ujwal Chaudhary, Ioannis Vlachos, Jonas B. Zimmermann, Arnau Espinosa, Alessandro Tonin, Andres Jaramillo-Gonzalez, Majid Khalili-Ardali, Helge Topka, Jens Lehmberg, Gerhard M. Friehs, Alain Woodtli, John P. Donoghue, and Niels Birbaumer: Spelling Interface using Introcortical Signals in a Completely Locked-In Patient enabled via Auditory Neurofeedback Training. Nature Communications, ToDo: update.

License

This dataset is shared under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License. See the LICENSE document.

The Wyss Center for Bio and Neuroengineering, Geneva, Switzerland, is the owner of the dataset.

Description of the dataset

This dataset contains intracranial data (threshold crossings converted to multi-unit spike rate estimates) as well as behavioral data (events from the BCI software) recorded from one participant in a clinical case over a year.

The dataset contains data from two conditions:

  • auditory neurofeedback
  • speller (training and free)

In addition, electrode array impedance files as well as neural event files from time points presented in the paper are shared.

Neurofeedback blocks

Neurofeedback trial structure is described in the paper. A list of blocks is given in the Excel file DataOverview.xlsx, sheet 'neurofeedback'. The name of the datafile corresponds to the files stored in KIAP_BCI_neurofeedback. Each block is associated with a spike rate binary data file as well as two log files, an events_*.txt and an info_*.log file. The info file only contains decoder decision events, while events contains other events in the trial as well.

Format of info files

A line in the info log file has the following form:

2019-07-20 16:34:16.255668  feedback - Decoder decision: unclassified - ('feedback', 'down')
  1. 2019-07-20 16:34:16.255668 Timestamp in local time
  2. feedback - Decoder decision: task name
  3. unclassified: result of classification. One of {yes, no, unclassified}. yes: normalized firing rate crossed upper threshold. no: normalized firing rate crossed lower threshold. unclassified: trial timed out without crossing the threshold.
  4. ('feedback', 'down'): task name and target; one of {up, down}. up maps to yes, down maps to no.

Until 2019-07-19 (inclusive), the result logged was slightly different: Instead of logging the classification result, it was logged whether the patient reached the target or not. When the target was reached the result is logged as yes, both for up and down targets. It was logged as unclassified in other cases, i.e. when the patient did not acquire the target within the timeout period.

Format of events files

Rows in the events files have the following format:

95862, b'feedback, Training, up, Block, start'
501039, b'feedback, Training, up, baseline, start'
558534, b'feedback, Training, up, baseline, stop'
558534, b'feedback, Training, up, stimulus, start'
585989, b'feedback, Training, up, stimulus, stop'
592204, b'feedback, Training, up, response, start'
659908, b'feedback, Training, up, response, stop'
659908, b'feedback, Training, up, Decoder decision is: no'
3231064, b'feedback, Training, down, Block, stop'
  1. First, there is a timestamp in sample clock ticks (1 tick = 1/30 millisecond)
  2. The message is enclosed by b' and '
  3. The message consists of task, mode, target cue, trial period, {start|stop} for trial phase messages
  4. At the end of the trial, there is a 'Decoder decision' message, which can be 'yes' (corresponding to 'up' target), 'no' ('down' target), and 'unclassified' (no class detected).
  5. The log messages should be enclosed in a 'Block, start' and 'Block, stop' message pair. For these block messages, the target is irrelevant.

Until 2019-07-19 (inclusive), the decoder decision logged was slightly different: Instead of logging the classification result, it was logged whether the patient reached the target or not. When the target was reached the result is logged as yes, both for up and down targets. It was logged as unclassified in other cases, i.e. when the patient did not acquire the target within the timeout period.

Format of data files

Raw neural signals sampled at 30kS/s were bandpass filtered between 0.3 and 7500 Hz, then digitally high-pass filtered at 250 Hz. Thresholds for spike detection were estimated at -4.5×RMS. Events sxceeding the threshold were assumed to be unsorted spikes and sent to a separate computer for online processing. Events were converted online to spike rates in by counting events in 1 s long windows, advanced in 50 ms increments, for each channel separately. The resulting 20Hz firing rate data were saved in spike rate data binary files.

Spike rate data files are binary files, consisting of a variable number of data records. Each data record has a header of constant size and a variable number of samples. All multi-byte data are stored in little-endian order.

Each record consists of the following fields:

Field name Description Data Type Length (bytes)
Datetime Computer's wall clock timestamp datetime64[us] 8
NSP time Timestamp of the data acquisition system in sample clock ticks int64 8
NBytes Number of bytes in following sample block uint64 8
NSamples Number of samples in following sample block int64 8
NChannels Number of channels in following sample block int64 8
ChListLen Number of bytes in following channel list int16 2
ChList List of channels that were recorded. Each channel ID is saved as uint16. ChListLen × uint16 2 × ChListLen
Samples Matrix of samples NSamples × NChannels (samples are stored by sample, i.e. for each sample time, channels are stored one after the other) NSamples × NChannels × float32 4 × NSamples × NChannels
SampleTimestamps List of timestamps in sample clock ticks, associated with each sample NSamples × uint64 8 × NSamples

Speller blocks

Speller trial structure is described in the paper. A list of blocks is given in the Excel file DataOverview.xlsx, sheet 'speller'. The name of the datafile corresponds to the files stored in KIAP_BCI_speller. Each block is associated with a spike rate binary data file as well as two log files, an events_*.txt and an info_*.log file. The info file only contains decoder decision events, while events contains other events in the trial as well.

Format of info files

Lines in the info files contain the state of the speller after each decoding:

2019-08-14T14:26:01.132830  color - Decoder decision: no - ('', 'S')
2019-08-14T14:26:05.201561  color - Decoder decision: yes - ('', 'R')
2019-08-14T14:26:13.483555  color - Decoder decision: yes - ('R', 'gelb')
2019-08-14T14:26:17.974635  color - Decoder decision: yes - ('R', 'E')
2019-08-14T14:26:26.235286  color - Decoder decision: no - ('RE', 'gelb')
2019-08-14T14:26:31.320232  color - Decoder decision: no - ('RE', 'gruen')

First item in each line is the computer's wall clock timestamp. The decoder decision 'yes', 'no', or 'unclassified' refers to the presented option, which is the second item in the tuple at the end of each line. The first item refers to the speller output so far. For example, in the first line, the speller status was 'empty'. Letter S was rejected, letter R was selected. The speller state then changes to 'R'. The speller after letter selection proceeds with presentation of letter groups, in this case gelb (yellow). Upon its selection, letter E was selected, and so on.

Format of events files

The format of events files is essentially the same as in the neurofeedback case:

30973163, b'color, Free, baseline, start'
31012029, b'color, Free, baseline, stop'
31012029, b'color, Free, stimulus, start'
31057116, b'color, Free, stimulus, stop'
31063329, b'color, Free, response, start'
31079659, b'color, Free, response, stop'
31079659, b'color, Free, Decoder decision is: no'

timestamp in sample clock ticks, message. Message consists of color (for color speller), Free or Validation. Blocks marked Validation were copy speller blocks, i.e. with a given target to spell (see Excel table).

The letter group and letter options were presented during the 'stimulus' period.

Format of data files

The format is identical to the one described above.

Impedances

The folder Impedances contains six files covering the electrode array impedances over time. The files list channel label and impedance in kΩ. The order of the channel follows the logical order 1–128.

Spike data

Raw Blackrock nev files containing unsorted multiunit threshold crossings. One file was acquired before the time covered in the paper, the rest covers the paper period. See Blackrock Neuroport manual for a description of the file format.

datacite.yml
Title Spelling Interface using Introcortical Signals in a Completely Locked-In Patient enabled via Auditory Neurofeedback Training
Authors Chaudhary,Ujwal;Wyss Center for Bio and Neuroengineering; Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany;ORCID:0000-0002-7887-1012
Vlachos,Ioannis;Wyss Center for Bio and Neuroengineering;ORCID:0000-0002-3319-1486
Zimmermann,Jonas B;Wyss Center for Bio and Neuroengineering;ORCID:0000-0001-9225-2595
Espinosa,Arnau;Wyss Center for Bio and Neuroengineering;ORCID:0000-0002-3268-0907
Tonin,Alessandro;Wyss Center for Bio and Neuroengineering; Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany
Jaramillo-Gonzalez,Andres;Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany
Khalili-Ardali,Majid;Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany;ORCID:0000-0001-9154-6970
Topka,Helge;Department of Neurology, Clinical Neurophysiology, Cognitive Neurology and Stroke Unit München Klinik Bogenhausen, Munich, Germany
Lehmberg,Jens;Department of Neurosurgery, München Klinik Bogenhausen, Munich, Germany;ORCID:0000-0002-8502-3134
Friehs,Gerhard M;Neurosurgery Department, European University, Nicosia, Cyprus
Woodtli,Alain;Wyss Center for Bio and Neuroengineering
Donoghue,John P;Carney Brain Institute, Brown University, Providence, USA;ORCID:0000-0002-9394-6940
Birbaumer,Niels;Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany;ORCID:0000-0002-6786-5127
Description This dataset contains intracranial data (threshold crossings converted to multi-unit spike rate estimates) as well as behavioral data (events from the BCI software) recorded from one participant in a clinical case over a year.
License Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (https://creativecommons.org/licenses/by-nc-sa/4.0/)
References Ujwal Chaudhary, Ioannis Vlachos, Jonas B Zimmermann, Arnau Espinosa, Alessandro Tonin, Andres Jaramillo-Gonzalez, Majid Khalili-Ardali, Helge Topka, Jens Lehmberg, Gerhard M Friehs, Alain Woodtli, John P Donoghue, Niels Birbaumer: Verbal Communication using Intracortical Signals in a Completely Locked In-Patient. medRxiv 2020.06.10.20122408 [doi:10.1101/2020.06.10.20122408] (IsSupplementTo)
Funding Wyss Center for Bio and Neuroengineering
Keywords Neuroscience
Human
Intracortical Array
Utah Array
Spikes
BCI
ALS
Resource Type Dataset