Standardized Workflow for Advanced Neuroimaging in Epilepsy (SWANe) software provides researchers with a platform to analyze multimodal imaging modalities and to automatically combine the data from each modality into an integrating three-dimensional fashion. The software comes with a GUI and is designed to be user-friendly and for the not-technical public. SWANe is implemented in Python language and falls within the MIT license. The toolbox builds on a combination of existing methods to improve the user's power to perform analyses on different types of structural, functional, and metabolic imaging. SWANe has been developed in principle for the study of focal epilepsies of any age but it might be prospectively applied in different neurological diseases and for presurgical planning.

SWANe: Standardized workflow for advanced neuroimaging in epilepsy / Genovese, Maurilio; Arcasensa, Agostino; Morbelli, Silvia; Lenge, Matteo; Barba, Carmen; Mirandola, Laura; Caligiuri, Maria Eugenia; Caulo, Massimo; Panzica, Ferruccio; Cardinale, Francesco; Rossi-Espagnet, Camilla; Tortora, Domenico; Vaudano, Anna Elisabetta. - In: SOFTWAREX. - ISSN 2352-7110. - ELETTRONICO. - 26:(2024), pp. 0-0. [10.1016/j.softx.2024.101703]

SWANe: Standardized workflow for advanced neuroimaging in epilepsy

Barba, Carmen
Validation
;
2024

Abstract

Standardized Workflow for Advanced Neuroimaging in Epilepsy (SWANe) software provides researchers with a platform to analyze multimodal imaging modalities and to automatically combine the data from each modality into an integrating three-dimensional fashion. The software comes with a GUI and is designed to be user-friendly and for the not-technical public. SWANe is implemented in Python language and falls within the MIT license. The toolbox builds on a combination of existing methods to improve the user's power to perform analyses on different types of structural, functional, and metabolic imaging. SWANe has been developed in principle for the study of focal epilepsies of any age but it might be prospectively applied in different neurological diseases and for presurgical planning.
2024
26
0
0
Genovese, Maurilio; Arcasensa, Agostino; Morbelli, Silvia; Lenge, Matteo; Barba, Carmen; Mirandola, Laura; Caligiuri, Maria Eugenia; Caulo, Massimo; P...espandi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1356298
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