WEEGIT – software for visualization and annotation of the electrophysiological activity registration data

Мұқаба

Дәйексөз келтіру

Толық мәтін

Ашық рұқсат Ашық рұқсат
Рұқсат жабық Рұқсат берілді
Рұқсат жабық Тек жазылушылар үшін

Аннотация

Wizard for EEG Information Tabling – “WEEGIT” is a software designed for visualization and annotation of the long-lasting records of activity. Long-lasting records of raw data are used in various areas of life sciences and well represented in neuroscience. In spite of development of other techniques and approaches the electrophysiological activity registration remains the “golden standard” in neurobiological research. Therefore, we developed and verified “WEEGIT” as a powerful and convenient tool for electrophysiological recordings’ description. We combined the most important features presented in other commercial and noncommercial software in the “WEEGIT”. Presented software can operate with widely used formats of records. ”WEEGIT” allows adaptive visualizing of up to 512 channels of record in different timescale without loss of efficiency and consumption of large machine resources. Visualizing also includes optional built-in temporal-spatial analysis (density of current sources or the density of action potentials) displayed as a background image. Integration of a set of optional filtering and signal transforming procedures allows improving record visualization. “WEEGIT” has a convenient graphical user interface with opportunity of simultaneous time browsing and annotating of the records in one workspace. Annotation can be done by simple text information typing as well as an interactive placing of specialized labels and objects. Software also allows saving data in the resampled format, both for the whole record and for user-defined events. In conclusion, “WEEGIT” provides a great set of benefits for the convenient workflow for beginners and specialists in the electrophysiological area of research, including preparation of the data for further specialized analysis.

Негізгі сөздер

Авторлар туралы

D. Suchkov

INSERM UMR1249, INMED, Aix-Marseille University

Хат алмасуға жауапты Автор.
Email: suchkov.dmitriy.ksu@gmail.com
France, Marseille

V. Shumkova

Kazan Federal University

Email: suchkov.dmitriy.ksu@gmail.com
Russia, Kazan

V. Sitdikova

Kazan Federal University

Email: suchkov.dmitriy.ksu@gmail.com
Russia, Kazan

V. Silaeva

Kazan Federal University

Email: suchkov.dmitriy.ksu@gmail.com
Russia, Kazan

A. Logashkin

Kazan Federal University

Email: suchkov.dmitriy.ksu@gmail.com
Russia, Kazan

A. Mamleev

Kazan Federal University

Email: suchkov.dmitriy.ksu@gmail.com
Russia, Kazan

M. Minlebaev

INSERM UMR1249, INMED, Aix-Marseille University; Kazan Federal University

Email: suchkov.dmitriy.ksu@gmail.com
France, Marseille; Russia, Kazan

Әдебиет тізімі

  1. Altman Y. Findjobj – find java handles of Matlab graphic objects. MATLAB Central File Exchange 2023. https://www.mathworks.com/matlabcentral/fileexchange/14317-findjobj-find-java-handles-of-matlab-graphic-objects
  2. Buzsaki G., Anastassiou C.A., Koch C. The origin of extracellular fields andcurrents — eeg, ecog, lfp and spikes. Nature Reviews Neuroscience 2012. 13 (6): 407–420. https://doi.org/10.1038/nrn3241
  3. Hazan L., Zugaro M., Buzsaki G. Klusters, neuroscope, ndmanager: A free software suite for neurophysiological data processing and visualization. Journal of Neuroscience Methods 2006. 155 (2): 207–216. https://doi.org/10.1016/j.jneumeth.2006.01.017
  4. Nasiotis K., Cousineau M., Tadel F., Peyrache A., Leahy R.M., Pack C.C., Baillet S. Integrated open-source software for multiscale electrophysiology. Scientific Data 2019. 6 (1): 231. https://doi.org/10.1038/s41597-019-0242-z
  5. Patel Y.A., George A., Dorval A.D., White J.A., Christini D.J., Butera R.J. Hard real-time closed-loop electrophysiology with the real-time experiment interface (rtxi). PLOS Computational Biology 2017. 13 (5): e1005430. https://doi.org/10.1371/journal.pcbi.1005430
  6. Siegle J.H., Lopez A.C., Patel Y.A., Abramov K., Ohayon S., Voigts J. Openephys: an open-source, plugin-based platform for multichannel electrophysiology. Journal of Neural Engineering 2017. 14 (4): 045003. https://doi.org/10.1088/1741-2552/aa5eea
  7. Tadel F., Baillet S., Mosher J.C., Pantazis D., Leahy R.M. Brainstorm: A userfriendly application for meg/eeg analysis. Computational Intelligence and Neuroscience 2011. https://doi.org/10.1155/2011/879716

Қосымша файлдар


© D.S. Suchkov, V.V. Shumkova, V.R. Sitdikova, V.M. Silaeva, A.E. Logashkin, A.R. Mamleev, M.G. Minlebaev, 2023

Осы сайт cookie-файлдарды пайдаланады

Біздің сайтты пайдалануды жалғастыра отырып, сіз сайттың дұрыс жұмыс істеуін қамтамасыз ететін cookie файлдарын өңдеуге келісім бересіз.< / br>< / br>cookie файлдары туралы< / a>