Structural determinants of DTI observations in developing cortex and white matter

Project: Research project

Project Details


DESCRIPTION (provided by applicant): Studies using the magnetic resonance imaging (MRI) technique termed diffusion tensor imaging (DTI) have found that fractional anisotropy (FA) is reduced in cerebral white matter (WM) of mature individuals affected by disorders either of genetic (e.g. Rett syndrome, phenylketonuria), environmental (e.g. fetal alcohol spectrum disorder, premature birth), or multifactorial (e.g. autism, schizophrenia) origin. While these results imply that there are neural structural differences between affected individuals and age-matched controls, the nature of these structural differences at the cellular level remains unknown. We propose to develop an experimental model to investigate the cellular bases of both WM and cerebral cortical changes in FA that are induced by neurodevelopmental disorders. The disorder we chose to study is neonatal bilateral enucleation because this manipulation is known to induce abnormal patterns of neural connections in the visual cortex of altricial species such as rodents and ferrets. We chose ferrets because they have a relatively large cerebral WM to gray matter (GM) ratio, which makes it possible to apply diffusion anisotropy data analysis procedures of relevance to human studies. Based on preliminary observations of changes in both WM and cerebral cortex FA in neonatally enucleated ferrets, we hypothesize that changes in WM FA arise from abnormalities of myelin/glia, or changes in the divergence/convergence of axonal projections, or both. To test this hypothesis, DTI measurements will be performed on post-mortem brains of control and enucleated adult animals. Fractional anisotropy values from visual WM will be compared to Toluidine blue-based measurements of myelination, and to retrograde tracer-based measurements of axonal convergence/divergence. In addition, we hypothesize that changes in cortical GM FA reflect changes in the distribution of axonal and dendritic neuronal processes in the neuropil. This hypothesis stems from an analytical model that we recently developed to relate diffusion anisotropy in the cerebral cortex (expressed as FA) to anisotropy in the distribution of axonal and dendritic neuronal processes in the neuropil (expressed as FAN). We will test this model by comparing FA measurements taken from post-mortem ferret brains at five ages spanning postnatal day (P)6 to P45, to measurements of FAN of dendrites and axons labeled in the same tissue by the application of Golgi and anatomical tracing procedures. We will also characterize the developmental profile of the relationship between FA and FAN following early enucleation. The results are expected to demonstrate that DTI can be used to detect early manifestations of neurodevelopmental disorders in cerebral cortex, potentially prior to the loss of central nervous system plasticity. The proposed experiments will advance our understanding of the cellular changes underlying abnormalities in diffusion anisotropy in both WM and GM. This knowledge will not only facilitate monitoring the integrity of developing neural projections, but also the formulation of therapeutic strategies to counteract deleterious effects that neurodevelopmental disorders on brain development. PUBLIC HEALTH RELEVANCE: Magnetic resonance imaging (MRI) can be used to detect brain anatomical abnormalities in individuals affected by a diverse array of neurodevelopmental disorders, but it is not capable of characterizing these abnormalities in detail. We therefore propose to combine MRI experiments with traditional cellular-anatomical measurements on an animal model of neurodevelopmental disorders to provide a framework for interpreting MRI findings. We will also use this experimental strategy to expand the capabilities of MRI to studies of earlier stages of brain development.
Effective start/end date3/15/102/29/16


  • National Institutes of Health: $258,500.00
  • National Institutes of Health: $246,469.00
  • National Institutes of Health: $273,445.00
  • National Institutes of Health: $223,733.00
  • National Institutes of Health: $255,137.00


  • Medicine(all)
  • Neuroscience(all)


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