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Non-invasive neuroimaging: generalized linear models for interpreting functional near infrared spectroscopy signals
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/1623
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| Title: | Non-invasive neuroimaging: generalized linear models for interpreting functional near infrared spectroscopy signals |
| Authors: | Butti, Michele
Caffini, Matteo
Merzagora, Anna Caterina
Bianchi, Anna Maria
Baselli, Giuseppe
Onaral, Banu
Secchi, Piercesare
Cerutti, Sergio |
| Issue Date: | 2007 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | Proceedings of the 3rd International IEEE/EMBS Conference on Neural Engineering, 2007, pp. 461-464. |
| Abstract: | Cognitive activity is related to important changes
in the local blood flow level and in the oxygenation of the blood.
These two effects lead to a modification of the optical
properties of the cerebral cortex. With the aid of the functional
Near InfraRed Spectroscopy (fNIRS) technique it is possible,
through optical measures, to achieve information about the
hemodynamic features of the brain activation. The aim of this
study was to find a method to identify and to map the cerebral
areas activated during a sustained attention task (Conner’s
Continuous Performance Test – CPT) in a group of healthy
subjects. This information will be of fundamental interest for a
following study on a group of patients that will be administered
the same examination. We propose a new analysis method
based on the theory of Generalized Linear Model (GLM) in
order to obtain intuitive cerebral activation maps during the
performing of cognitive tasks. |
| URI: | http://dx.doi.org/10.1109/CNE.2007.369709
http://hdl.handle.net/1860/1623 |
| Appears in Collections: | Faculty Research and Publications (Biomed Eng)
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