Skip to main content

A toolbox for laminar inference with MEG

Project description

laMEG

Toolbox for laminar inference with MEG, powered by FreeSurfer and SPM

PyPI version Unit tests codecov linting: pylint Python 3.7 License: GPL v3 Repo Size PyPI - Downloads

Operating system

  • Windows: Tested on WSL (using Ubuntu 24.04.1), follow instructions here

  • Mac: May work, not tested

  • Linux: Tested on Ubuntu and Debian

Requirements

Upgrade Notice (v0.1.0)

If you used laMEG versions prior to v0.1.0, the internal format of laminar surface directories has changed. They are now stored within <SUBJECTS_DIR>/<subject_id>/surf/laminar, and <SUBJECTS_DIR>/<subject_id>/mri/orig.mgz is automatically used for co-registration. Older surfaces must be converted before they can be loaded with the new LayerSurfaceSet interface.

Run the conversion script:

python convert_legacy_surfaces.py <subject_id> <path_to_old_lameg_surf_dir>

For example:

python convert_legacy_surfaces.py sub-104 /data/old_surfaces/sub-104

This will rebuild the standardized hierarchy under:

<SUBJECTS_DIR>/<subject_id>/surf/laminar

and generate complete metadata for each processing stage.

After conversion, you can validate the new structure:

from lameg.surf import LayerSurfaceSet
surf_set = LayerSurfaceSet('sub-104', 11)
surf_set.validate()

Installation

  1. Install git and curl if needed:

    sudo apt-get install git curl
  2. Create a conda environment:

    conda create -n <env name> python=3.7

    replacing <env name> with the name of the environment you would like to create (i.e. ‘lameg’, or the name of your project)

  3. Activate the environment:

    conda activate <env name>

    replacing <env name> with name of the environment you created.

  4. Install FreeSurfer, following the instructions on this page

  5. To install laMEG, run:

    pip install lameg

    This also installs SPM standalone and Matlab runtime, which can take some time depending on your connection speed.

  6. Before using, deactivate and reactivate the environment for changes to environment variables to take effect:

    conda deactivate
    conda activate <env name>
  7. If you want to run the tutorials, download and extract the test data

Documentation and Tutorials

Once you have installed laMEG, check out the example notebooks, tutorials, and documentation. For guidelines on MRI sequences, head-cast construction, and co-registration, see the wiki

Funding

Supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme grant agreement 864550, and a seed grant from the Fondation pour l’Audition.

ERC FPA

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lameg-0.1.1.tar.gz (13.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lameg-0.1.1-py3-none-any.whl (13.7 MB view details)

Uploaded Python 3

File details

Details for the file lameg-0.1.1.tar.gz.

File metadata

  • Download URL: lameg-0.1.1.tar.gz
  • Upload date:
  • Size: 13.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.17

File hashes

Hashes for lameg-0.1.1.tar.gz
Algorithm Hash digest
SHA256 e3077c52adcb07533dc584ea4a586ef7fbfe7be1f32e6b3f0f66117e41ad8c2e
MD5 1da862b7065c2dc7d2ce825a51b42a38
BLAKE2b-256 4cc065fc2350d67e28bd13b3e6915303c7644cbb4682525ef8ca417df7e4c1b2

See more details on using hashes here.

File details

Details for the file lameg-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: lameg-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 13.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.17

File hashes

Hashes for lameg-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 40c297b30146ad82d35cd573e84fd9def50cc496f8dc1599a980e755a5f61f06
MD5 216cab263335db2d915968c8fbd78fc1
BLAKE2b-256 da6987db2420e771f4bb966688eef7ead30446efd8d081520675cbb5d47c4aa4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page