MEG/EEG-pipeline provides documentation for the Magnetoencephalography (MEG) and ElectroEncephaloGraphy (EEG) systems in the MEG laboratory and EEG setup within Brain Imaging Core Technology Platform. MEG lab is situated in A2, 008, Ground floor, New York University Abu Dhabi.

.. table:: Contact Information :widths: auto

==================== ===================== =========================== ================ Name Role Email GitHub ==================== ===================== =========================== ================ Hadi Zaatiti Research Scientist hadi.zaatiti@nyu.edu hzaatiti Haidee J Paterson Radiology Scientist haidee.paterson@nyu.edu hjpnyuad Osama Abdullah MRI Physicist II osama.abdullah@nyu.edu osamaNYUAD ==================== ===================== =========================== ================

This web-interface offers a simple and intuitive overview on how MEG machines work, the specification of the system, what kind of data are generated and how to process them using ready-to-use pipelines. This documentation additionally provides a guide to build your own MEG-system experiment and what is required to successfully execute the experiment.

If you like to get a PDF document of this website, click here : Download PDF <https://meg-pipeline.readthedocs.io/_/downloads/en/latest/pdf/>_

Development Board Project CLICK HERE <https://github.com/users/hzaatiti-NYU/projects/1>_ If you are not a part of the project, the above link will not work, please request access to the project if needed.

.. image:: https://raw.githubusercontent.com/hzaatiti-NYU/meg-pipeline/main/docs/source/graphic/MEG-image.png :width: 400 :alt: AI generated MEG-system image