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.
Original language | English |
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Title of host publication | 2015 AEIT International Annual Conference, AEIT 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Print) | 9788887237283 |
DOIs | |
Publication status | Published - Feb 19 2016 |
Event | AEIT International Annual Conference: A Sustainable Development in the Mediterranean Area, AEIT 2015 - Naples, Italy Duration: Oct 14 2015 → Oct 16 2015 |
Other
Other | AEIT International Annual Conference: A Sustainable Development in the Mediterranean Area, AEIT 2015 |
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Country | Italy |
City | Naples |
Period | 10/14/15 → 10/16/15 |
Keywords
- Brain tractography
- Functional brain connectivity
- Independent component analysis
- Structural brain connectivity
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Biomedical Engineering