Title
Cortico-Cortical, Cortico-Striatal, And Cortico-Thalamic White Matter Fiber Tracts Generated In The Macaque Brain Via Dynamic Programming
Abstract
Probabilistic methods have the potential to generate multiple and complex white matter fiber tracts in diffusion tensor imaging (DTI). Here, a method based on dynamic programming (DP) is introduced to reconstruct fibers pathways whose complex anatomical structures cannot be resolved beyond the resolution of standard DTI data. DP is based on optimizing a sequentially additive cost function derived from a Gaussian diffusion model whose covariance is defined by the diffusion tensor. DP is used to determine the optimal path between initial and terminal nodes by efficiently searching over all paths, connecting the nodes, and choosing the path in which the total probability is maximized. An ex vivo high-resolution scan of a macaque hemi-brain is used to demonstrate the advantages and limitations of DP. DP can generate fiber bundles between distant cortical areas (superior longitudinal fasciculi, arcuate fasciculus, uncinate fasciculus, and fronto-occipital fasciculus), neighboring cortical areas (dorsal and ventral banks of the principal sulcus), as well as cortical projections to the hippocampal formation (cingulum bundle), neostriatum (motor cortical projections to the putamen), thalamus (subcortical bundle), and hippocampal formation projections to the mammillary bodies via the fornix. Validation is established either by comparison with in vivo intracellular transport of horseradish peroxidase in another macaque monkey or by comparison with atlases. DP is able to generate known pathways, including crossing and kissing tracts. Thus, DP has the potential to enhance neuroimaging studies of cortical connectivity.
Year
DOI
Venue
2013
10.1089/brain.2013.0143
BRAIN CONNECTIVITY
Keywords
Field
DocType
anatomic connectivity, fiber tracking, structural connectivity
Thalamus,Neuroscience,Diffusion MRI,Macaque,White matter,Nerve net,Fasciculus,Psychology,Arcuate fasciculus,Uncinate fasciculus
Journal
Volume
Issue
ISSN
3
5
2158-0014
Citations 
PageRank 
References 
2
0.37
23
Authors
10
Name
Order
Citations
PageRank
J Tilak Ratnanather112312.79
Rakesh M. Lal220.37
Michael An320.37
Clare Poynton491.29
Muwei Li5262.82
Hangyi Jiang655031.16
Kenichi Oishi745623.56
Lynn D. Selemon820.37
Susumu Mori964543.22
Michael I Miller103123422.82