@inproceedings{3f78708521234eac9e1b84eec56b7362,
title = "Integrating structural and functional brain connectivity image, signal, and data processing problems",
abstract = "Resting state (RS) functional magnetic resonance images (rsfMRI) were analyzed by spatial independent component analysis (sICA). Functional connectivity (FC) was further analyzed within the identified RS networks either by high dimension sICA or by local clustering. The latter approach permitted to drive a matched structural connectivity (SC) based on probabilistic tractography between the same clusters. Cortex segmentation tools ad diffusion MRI were used to correlate fiber and cortical damage. Methods and results are here compared concerning the translational fall-outs and the applicability in the evaluation and follow-up of neurodegenerative diseases. Emphasis is given to the integration of image, signal, and data processing methods.",
keywords = "Brain tractography, Functional brain connectivity, Independent component analysis, Structural brain connectivity",
author = "Giuseppe Baselli and Niels Bergsland and Isa Costantini and Ottavia Dipasquale and Elisa Scaccianoce and Marcella Lagan{\`a} and Laura Pelizzari and Mario Clerici and Francesca Baglio",
note = "Publisher Copyright: {\textcopyright} 2015 AEIT.; AEIT International Annual Conference: A Sustainable Development in the Mediterranean Area, AEIT 2015 ; Conference date: 14-10-2015 Through 16-10-2015",
year = "2015",
doi = "10.1109/AEIT.2015.7415273",
language = "English",
series = "2015 AEIT International Annual Conference, AEIT 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 AEIT International Annual Conference, AEIT 2015",
address = "United States",
}