Lead-DBS User Guide
  • Introduction
  • How to contribute to Lead-DBS
  • Installation
  • Lead-DBS
    • Overview
    • Self-Tutoring with Lead-Tutor
    • 1. Load Patient Folder
      • Importing a classic Lead-DBS dataset to BIDS version
    • 2. Image Import
      • Converting NIfTI-images into BIDS
      • Converting DICOM files into BIDS
    • 3. Volume Registrations
      • Coregister Volumes
      • Normalizing the Images
      • Brainshift Correction
      • Checking the Coregistration and Normalization
    • 4. (optional) Surface Reconstruction
    • 5. (optional) Reconstruction of Electrode Trajectories
      • Orientation of Directional Leads
        • Prerequisites
        • Automatic Algorithm
        • Possible Problems with the Automatic Algorithm
        • User-Assisted Algorithm (Manual Refine)
      • TRAC/CORE Details
      • Manual Reconstruction
      • Reconstruction File
    • 6. (optional) Perform Connectivity Analysis
    • 7. Visualization
      • MER Analysis
    • Reconstruction Statistics
  • Lead-Group
    • Group analyses with Lead-DBS
    • Setup Analysis
    • General Settings
    • Group Visualization
    • Calculate VTA and Stats
    • Sweetspot Explorer
  • Connectomics
    • Connectomics
      • Diffusion MRI: Patient Specific Processing
      • fMRI-Analysis: Patient Specific Processing
      • Using Normative Connectomes
      • Network Mapping Explorer
      • Fiber Filtering Explorer
    • Lead Connectome Mapper
  • Lead-OR
    • Imaging setup
    • Electrophysiology setup
    • Using the platform
  • Appendix
    • Code Backbone
    • Acquiring and Installing Atlases
      • Customizing Atlas Visualization
    • Troubleshooting / Specific Help
      • Adding Fortran dependencies for VTA modeling
      • VTA Calculation Troubleshoot
    • Command line interface
      • Command line options
    • Matlab scripting examples
      • Installing an atlas from an online repository
      • Warping a normative connectome to native subject space
    • Using Slicer
      • Sweet-sour spot
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On this page
  • Requirements
  • Custom plug-ins installation
  • Building a processing pipeline
  1. Lead-OR

Electrophysiology setup

Electrophysiology setup to use the Lead-OR platform

PreviousImaging setupNextUsing the platform

Last updated 8 months ago

Requirements

  1. OpenEphys: The (v >= 0.6.4) should be installed.

  2. Custom Plug-Ins: The following plug-ins should be installed to use the platform: , and .

  3. Data source: the plug-in (which requires the NeuroOmega SDK; Windows only) provides an interface to use the NeuroOmega device in real-time. To test the platform, example recordings can be downloaded from , and streamed to OpenEphys via the built-in File Readed plug-in.

Custom plug-ins installation

The links above describe the different ways to install the plug-ins. Here, only the one via GitHub CLI is described. Install and run the following commands to install the plug-ins:

Windows

copy /y "C:\Program Files (x86)\AlphaOmega\Neuro Omega System SDK\CPP_SDK\win64\NeuroOmega_x64.dll" "C:\ProgramData\Open Ephys\shared-api8"
gh release download --clobber --dir "C:\ProgramData\Open Ephys\plugins-api8" --pattern *.dll --repo netstim/OpenEphysNeuroOmega
gh release download --clobber --dir "C:\ProgramData\Open Ephys\configs-api8" --pattern *.xml --repo netstim/OpenEphysNeuroOmega
gh release download --clobber --dir "C:\ProgramData\Open Ephys\plugins-api8" --pattern *.dll --repo netstim/OpenEphysRMS
gh release download --clobber --dir "C:\ProgramData\Open Ephys\shared-api8" --pattern *.dll --repo netstim/OpenEphysIGTLink
gh release download --clobber --dir "C:\ProgramData\Open Ephys\plugins-api8" --pattern *.dll --repo netstim/OpenEphysLeadOR

Building a processing pipeline

OpenEphys has a modular framework to create custom processing pipelines. Here, the default processing pipeline for Lead-OR is described. Although this example is done with example recordings, the File Reader plug-in can be replaced by the OpenEphysNeuroOmega plug-in for a novel real-time scenario.

  1. Open OpenEphys GUI

  2. Drag-and-drop the following plug-ins in order from the left Processors list to the Signal Chain and follow the instructions:

    1. File Reader

    2. Bandpass Filter

      • Click on Channels and select all.

      • Default 300 to 6000 bandpass should be ok.

    3. LFP Viewer

    4. Root Mean Square

      • Click on Channels and select all.

      • Set window_ms to 3000.

    5. Lead-OR

      • Click on Channels and select all.

      • Check feature and set feature_name to RMS

      • See next page for the following instructions.

See following screenshot for reference:

Click on F to navigate and select the downloaded .

OpenEphys GUI
OpenEphysIGTLink
OpenEphysLeadOR
OpenEphysRMS
OpenEphysNeuroOmega
here
GitHub CLI
example recordings
OpenEphys signal chain.