A Temporal Estimate of Integrated Information for Intracranial Functional Connectivity. - Xerxes D. Arsiwalla; Daniel Pacheco; Alessandro Principe; Rodrigo Rocamora; Paul F. M. J. Verschure (ICANN (2), 2018)

The dynamics of human cognition: Increasing global integration coupled with decreasing segregation found using iEEG. - Josephine Cruzat; Gustavo Deco; Adrià Tauste Campo; Alessandro Principe; Albert Costa; Morten L. Kringelbach; Rodrigo Rocamora (NeuroImage, 2018)

Prediction error connectivity: A new method for EEG state analysis. - Alessandro Principe; Miguel Ley; Gerardo Conesa; Rodrigo Rocamora (NeuroImage, 2019)

Low entropy map of brain oscillatory activity identifies spatially localized events: A new method for automated epilepsy focus prediction. - Manel Vila-Vidal; Carmen Pérez Enríquez; Alessandro Principe; Rodrigo Rocamora; Gustavo Deco; Adrià Tauste Campo (NeuroImage, 2020)

Projection-Based Collision Detection Algorithm for Stereoelectroencephalography Electrode Risk Assessment and Re-Planning. - Alfredo Higueras-Esteban; Ignacio Delgado-Martínez; Laura Serrano Pérez; Nazaret Infante-Santos; Alejandra Narváez-Martínez; Alessandro Principe; Rodrigo Rocamora; Gerardo Conesa; Luis Serra; Miguel Ángel González Ballester (IEEE Access, 2021)

SYLVIUS: A multimodal and multidisciplinary platform for epilepsy surgery. - Alfredo Higueras-Esteban; Ignacio Delgado-Martínez; Laura Serrano; Alessandro Principe; Carmen Pérez Enríquez; Miguel Ángel González Ballester; Rodrigo Rocamora; Gerardo Conesa; Luis Serra (Comput. Methods Programs Biomed., 2021)

A novel way to use cross-validation to measure connectivity by machine learning allows epilepsy surgery outcome prediction. - Karla Ivankovic; Alessandro Principe; Justo Montoya-Gálvez; Linus Manubens-Gil; Riccardo Zucca; Pablo Villoslada; Mara Dierssen; Rodrigo Rocamora (NeuroImage, 2025)