Hernandez-Martin, E.; Marcano, F.; Perez-Diaz, O.; de Dios, C.; Gonzalez-Mora, J.L. Diffuse Optical Tomography Provides a High Sensitivity at the Sensory-Motor Gyri: A Functional Region of Interest Approach. Appl. Sci.2023, 13, 12686.
Hernandez-Martin, E.; Marcano, F.; Perez-Diaz, O.; de Dios, C.; Gonzalez-Mora, J.L. Diffuse Optical Tomography Provides a High Sensitivity at the Sensory-Motor Gyri: A Functional Region of Interest Approach. Appl. Sci. 2023, 13, 12686.
Hernandez-Martin, E.; Marcano, F.; Perez-Diaz, O.; de Dios, C.; Gonzalez-Mora, J.L. Diffuse Optical Tomography Provides a High Sensitivity at the Sensory-Motor Gyri: A Functional Region of Interest Approach. Appl. Sci.2023, 13, 12686.
Hernandez-Martin, E.; Marcano, F.; Perez-Diaz, O.; de Dios, C.; Gonzalez-Mora, J.L. Diffuse Optical Tomography Provides a High Sensitivity at the Sensory-Motor Gyri: A Functional Region of Interest Approach. Appl. Sci. 2023, 13, 12686.
Abstract
Diffuse optical tomography (DOT) technology enables a differentiation between oxyhemoglobin (HbO) and deoxyhemoglobin (HbR) in the sensory and motor cerebral gyri, resulting in greater sensitivity for cerebral activation compared to functional magnetic resonance imaging (fMRI). Here, we introduce a novel approach where functional regions of interest (ROIs) are created based on the specific signal behavior observed in DOT measurements, in contrast to the conventional use of structural-ROIs obtained from anatomical information. The generation of cerebral activation maps involves using the general linear model (GLM) to compare the outcomes obtained from both the functional and structural ROI approaches. DOT-derived maps are then compared with maps derived from fMRI datasets considered the gold standard for assessing functional brain activity. The results obtained demonstrate the effectiveness of employing functional ROIs to improve the spatial location of functional activations in the sensory and motor cerebral gyri by leveraging the neural synchronization data provided by DOT. Furthermore, this methodology simplifies data processing in animal models, where anatomical differences compared to the human head can pose challenges. By incorporating functional ROIs prior to GLM application, this study offers enhancements to DOT analysis techniques and broadens its applicability in both human and animal models.
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