15 March 2017 Comparing diffuse optical tomography and functional magnetic resonance imaging signals during a cognitive task: pilot study
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Neurophotonics, 4(1), 015003 (2017). doi:10.1117/1.NPh.4.1.015003
Abstract
Diffuse optical tomography (DOT) measures concentration changes in both oxy- and deoxyhemoglobin providing three-dimensional images of local brain activations. A pilot study, which compares both DOT and functional magnetic resonance imaging (fMRI) volumes through t-maps given by canonical statistical parametric mapping (SPM) processing for both data modalities, is presented. The DOT series were processed using a method that is based on a Bayesian filter application on raw DOT data to remove physiological changes and minimum description length application index to select a number of singular values, which reduce the data dimensionality during image reconstruction and adaptation of DOT volume series to normalized standard space. Therefore, statistical analysis is performed with canonical SPM software in the same way as fMRI analysis is done, accepting DOT volumes as if they were fMRI volumes. The results show the reproducibility and ruggedness of the method to process DOT series on group analysis using cognitive paradigms on the prefrontal cortex. Difficulties such as the fact that scalp–brain distances vary between subjects or cerebral activations are difficult to reproduce due to strategies used by the subjects to solve arithmetic problems are considered. T-images given by fMRI and DOT volume series analyzed in SPM show that at the functional level, both DOT and fMRI measures detect the same areas, although DOT provides complementary information to fMRI signals about cerebral activity.
Estefania Hernandez-Martin, Francisco Marcano, Oscar Casanova, Cristian Modroño, Julio Plata-Bello, Jose Luis González-Mora, "Comparing diffuse optical tomography and functional magnetic resonance imaging signals during a cognitive task: pilot study," Neurophotonics 4(1), 015003 (15 March 2017). http://dx.doi.org/10.1117/1.NPh.4.1.015003
Submission: Received 25 October 2016; Accepted 28 February 2017
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KEYWORDS
Functional magnetic resonance imaging

Statistical analysis

Diffuse optical tomography

Scanning probe microscopy

Head

Brain activation

Neurophotonics

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