eeg-harmonization

Installation

Third-party installation
pip install git+https://github.com/GRUNECO/eeg_harmonization.git

git clone https://github.com/GRUNECO/eeg_harmonization.git
cd eeg_harmonization
pip install -r requirements.txt

Upgrading

pip uninstall sovaharmony

Then in the eeg_harmonization repo folder

git pull
pip install -r requirements-install.txt

Usage

from sovaharmony.processing import harmonize

BIOMARCADORES = {
    'name':'BIOMARCADORES',
    'input_path':'E:/Datos/BASESDEDATOS/BIOMARCADORES_BIDS',
    'layout':{'extension':'.vhdr', 'task':'OE','suffix':'eeg', 'return_type':'filename'},
    'args':{'line_freqs':[60]},
    'group_regex':'(.+).{3}',
    'events_to_keep':None,
    'run-label':'restEC'
}

harmonize(BIOMARCADORES)

Orden de archivos:

1. eeg_harmonization\processingEEG.py 
2. Data_analysis_ML_Harmonization_Proyect\Manipulation\Dataframes_potencias_Componentes_Demograficos.py | Data_analysis_ML_Harmonization_Proyect\Manipulation\Dataframes_potencias_Rois_demograficos.py
3. Data_analysis_ML_Harmonization_Proyect\Manipulation\Borrar_datos_atipicos_potencias.py
4. Data_analysis_ML_Harmonization_Proyect\Manipulation\Dataframes_SL_Coherencia_Entropy_Cross.py
5. eeg_harmonization\misc\neuroharmonaze.py
6. Data_analysis_ML_Harmonization_Proyect\Manipulation\unirfeatherharmonize.py
7. Data_analysis_ML_Harmonization_Proyect\Manipulation\Graficos_power_sl_coherencia_entropia_cross.py
8. Data_analysis_ML_Harmonization_Proyect\Manipulation\graficos_data_harmonized.py
9. Data_analysis_ML_Harmonization_Proyect\Manipulation\training_script.py

*old*
9. ML_models_G1_ic_sovaharmony.py
10. ML_models_G1_ic_neuroHarmonize.py

* Los pasos 7,8,9 y 10 pueden ejecutarse simultáneamente sin necesidad de esperar los resultados de los pasos anteriores

Refereed article

1. Refereed article

Title of article: Tackling EEG Test-Retest Reliability with a Pre-Processing Pipeline based on ICA and Wavelet-ICA.
Author(s): Henao Isaza V, Cadavid Castro V, Zapata Saldarriaga L, Mantilla-Ramos Y, Tobón Quintero C, Suarez Revelo J, Ochoa Gómez J.
Title of publication: Authorea Preprints
ISSN: Pre-print
Volume/Issue and page number: Pre-print
Date of publication or accepted for publication: June 2023
Peer review proof: Listed on the Scopus database
Scopus Author ID: 57209539748

URL to article: https://doi.org/10.22541/au.168570191.12788016/v1

2. Refereed article

Title of article: Longitudinal Analysis of qEEG in Subjects with Autosomal Dominant Alzheimer's Disease due to PSEN1-E280A Variant.
Author(s): Aguillon, D., Guerrero, A., Vasquez, D., Cadavid, V., Henao, V., Suarez, X., ... & Ochoa, J. F.
Title of publication: Alzheimer's Association International Conference. ALZ.
ISSN: NA
Volume/Issue and page number: NA
Date of publication or accepted for publication: December 2023
Peer review proof: NA
URL to article: https://alz-journals.onlinelibrary.wiley.com/doi/abs/10.1002/alz.083226

3. Refereed article

Title of article: Spectral features of resting-state EEG in Parkinson's Disease: a multicenter study using functional data analysis
Author(s): Alberto Jaramillo-Jimenez, Diego A Tovar-Rios, Johann Alexis Ospina, Yorguin-Jose Mantilla-Ramos, Daniel Loaiza-López, Verónica Henao Isaza, Luisa María Zapata Saldarriaga, Valeria Cadavid Castro, Jazmin Ximena Suarez-Revelo, Yamile Bocanegra, Francisco Lopera, David Antonio Pineda-Salazar, Carlos Andrés Tobón Quintero, John Fredy Ochoa-Gomez, Miguel Germán Borda, Dag Aarsland, Laura Bonanni, Kolbjørn Brønnick
Title of publication: Clinical Neurophysiology
ISSN: 1388-2457
Volume/Issue and page number: Volume 151, July 2023, Pages 28-40
Date of publication or accepted for publication: April 2023
Peer review proof: Listed on the Scopus database
Scopus Author ID: 57209539748

URL to article: https://www.sciencedirect.com/science/article/pii/S1388245723005989