Possibilities and limits of connectivity analyses on neuroimaging data
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1
Cuban Neuroscience Center, Cuba
Recovering temporal information about neural events with fMRI is limited by heavy filtering and sub-sampling and can only be achieved by incorporating biophysical assumptions into parametric and nonparametric state space models. These are optimally expressed in continuous time and space with explicit consideration of signal degradation during acquisition. It will be shown that many problems such as aliasing and the appearance of spurious connectives can be explicitly controlled for. Possibilities and limits will be shown for the different levels of the spatial and temporal scales of neuroimaging time series.
Keywords:
brain connectivity,
EEG
Conference:
XI International Conference on Cognitive Neuroscience (ICON XI), Palma, Mallorca, Spain, 25 Sep - 29 Sep, 2011.
Presentation Type:
Symposium: Oral Presentation
Topic:
Symposium 20: EEG/fMRI integration and the connectivity in the brain
Citation:
Valdes-Sosa
P
(2011). Possibilities and limits of connectivity analyses on neuroimaging data.
Conference Abstract:
XI International Conference on Cognitive Neuroscience (ICON XI).
doi: 10.3389/conf.fnhum.2011.207.00584
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Received:
14 Nov 2011;
Published Online:
28 Nov 2011.
*
Correspondence:
Prof. Pedro Valdes-Sosa, Cuban Neuroscience Center, Habana, Cuba, pedro.valdes.sosa@gmail.com