scispace - formally typeset
L

Latha Srinivasan

Researcher at Hammersmith Hospital

Publications -  15
Citations -  934

Latha Srinivasan is an academic researcher from Hammersmith Hospital. The author has contributed to research in topics: Magnetic resonance imaging & Diffusion MRI. The author has an hindex of 12, co-authored 15 publications receiving 879 citations. Previous affiliations of Latha Srinivasan include University of Milan.

Papers
More filters
Journal ArticleDOI

Probabilistic diffusion tractography of the optic radiations and visual function in preterm infants at term equivalent age.

TL;DR: This study used diffusion tensor imaging with probabilistic diffusion tractography to delineate the optic radiations at term equivalent age and compared the fractional anisotropy (FA) to a contemporaneous evaluation of visual function, suggesting that in preterm infants at terms equivalent age visual function is directly related to the development of white matter in the optic radiator.
Journal Article

Smaller Cerebellar Volumes in Very Preterm Infants at Term-Equivalent Age are Associated with the Presence of Supratentorial Lesions

TL;DR: Premature infants at term-equivalent age have similar total cerebellar and vermal volumes compared with term infants in the presence of normal brain imaging.
Journal ArticleDOI

Magnetic resonance imaging in perinatal brain injury: clinical presentation, lesions and outcome

TL;DR: Serial imaging with quantification of both structure size and tissue damage provides invaluable insights into perinatal brain injury and the pattern of lesions seen on MRI can predict neurodevelopmental outcome.
Journal ArticleDOI

Subplate in the developing cortex of mouse and human.

TL;DR: It is demonstrated that the human subplate also expresses α2zinc‐binding globulin and Alpha‐2‐Heremans‐Schmid glycoprotein/human fetuin, and connective tissue growth factor‐ and nuclear receptor‐related 1‐positive cells are two distinct cell populations of the humanSubplate.
Journal ArticleDOI

Assessment of brain growth in early childhood using deformation-based morphometry

TL;DR: Methods for the quantitative analysis of brain growth based on the registration of longitudinal MR image data with the use of Jacobian determinant maps to characterise neuroanatomical changes are presented.