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Biomedical subjects

Ragini Verma

Publications and source records attributed to Ragini Verma.

3 recordsLinked to original sources

Leftward asymmetry in relative fiber density of the arcuate fasciculus.

Left hemispheric language dominance is well established, but the structural substrate for this functional asymmetry is uncertain. We report a strong asymmetry in the relative fiber density of the arcuate fasciculus, a white matter pathway associated with language that connects the frontal, temporal, and parietal lobes. Measured with diffusion tensor tractography, nearly all study participants demonstrated greater relative fiber density in the left arcuate fasciculus than in the right arcuate fasciculus. In comparison, we found no asymmetry in the corticospinal tract, an important white matter pathway with no known role in language. Combined with data on volumetric and activation asymmetry, greater connectivity may provide the elements of a neural system model for language lateralization.

Adult↗

Spatiotemporal maturation patterns of murine brain quantified by diffusion tensor MRI and deformation-based morphometry.

Highly heterogeneous spatiotemporal patterns of maturation of the murine brain during the first 80 postnatal days were examined by high-dimensional deformation-based morphometry applied to high-resolution diffusion tensor MRIs. The maturation profile revealed a sharp contrast between tissue anisotropy changes in the cortex and in major white-matter fibers. Radially oriented tissue anisotropy was measured during the first postnatal week in cortical regions, reflecting the underlying columnar organization of the cortex. Subsequently, tissue anisotropy reduced rapidly, potentially reflecting the growth of randomly oriented dendritic trees that reduce tissue coorientation. Distinct anisotropy patterns were also observed along layer I of the cortex and were attributed to thin fibers oriented parallel to the outer surface. Last, spatially complex patterns of maturation were measured in all major axonal pathways and in the hippocampus, caudate putamen, and cerebellum. This analysis provides a framework for quantifying normative maturation patterns against which phenotypes of mice of different genetic and environmental backgrounds can be contrasted.

Age Factors↗

Quantification of facial expressions using high-dimensional shape transformations.

We present a novel methodology for quantitative analysis of changes in facial display as the intensity of an emotion evolves from neutral to peak expression. The face is modeled as a combination of regions and their boundaries. An expression change in a face is characterized and quantified through a combination of non-rigid (elastic) deformations, i.e., expansions and contractions of these facial regions. After elastic interpolation, this yields a geometry-based high-dimensional 2D shape transformation, which is used to register regions defined on subjects (i.e., faces with expression) to those defined on the reference template face (a neutral face). This shape transformation produces a vector-valued deformation field and is used to define a scalar valued regional volumetric difference (RVD) function, which characterizes and quantifies the facial expression. The approach is applied to a standardized database consisting of single images of professional actors expressing emotions at predefined intensities. We perform a detailed analysis of the deformations generated and the regional volumetric differences computed for expressions. We were able to quantify subtle changes in expression that can distinguish the intended emotions. A model for the average expression of specific emotions was also constructed using the RVD maps. This method can be applied in basic and clinical investigations of facial affect and its neural substrates.

Adolescent↗