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Regional vulnerability of longitudinal cortical association connectivity: Associated with structural network topology alterations in preterm children with cerebral palsy.

Ceschin R, Lee VK, Schmithorst V, Panigrahy A - Neuroimage Clin (2015)

Bottom Line: Despite mean tract analysis, Tract-Based Spatial Statistics (TBSS) and voxel-based morphometry (VBM) demonstrating diffusely reduced fractional anisotropy (FA) reduction in all white matter tracts, the along-tract analysis improved the detection of regional tract vulnerability.The along-tract map-structural network topology correlates revealed two associations: (1) reduced regional posterior-anterior gradient in FA of the longitudinal visual cortical association tracts (inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, optic radiation, posterior thalamic radiation) correlated with reduced posterior-anterior gradient of intra-regional (nodal efficiency) metrics with relative sparing of frontal and temporal regions; and (2) reduced regional FA within frontal-thalamic-striatal white matter pathways (anterior limb/anterior thalamic radiation, superior longitudinal fasciculus and cortical spinal tract) correlated with alteration in eigenvector centrality, clustering coefficient (inter-regional) and participation co-efficient (inter-modular) alterations of frontal-striatal and fronto-limbic nodes suggesting re-organization of these pathways.Both along tract and structural topology network measurements correlated strongly with motor and visual clinical outcome scores.

View Article: PubMed Central - PubMed

Affiliation: Department of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA ; Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

ABSTRACT
Preterm born children with spastic diplegia type of cerebral palsy and white matter injury or periventricular leukomalacia (PVL), are known to have motor, visual and cognitive impairments. Most diffusion tensor imaging (DTI) studies performed in this group have demonstrated widespread abnormalities using averaged deterministic tractography and voxel-based DTI measurements. Little is known about structural network correlates of white matter topography and reorganization in preterm cerebral palsy, despite the availability of new therapies and the need for brain imaging biomarkers. Here, we combined novel post-processing methodology of probabilistic tractography data in this preterm cohort to improve spatial and regional delineation of longitudinal cortical association tract abnormalities using an along-tract approach, and compared these data to structural DTI cortical network topology analysis. DTI images were acquired on 16 preterm children with cerebral palsy (mean age 5.6 ± 4) and 75 healthy controls (mean age 5.7 ± 3.4). Despite mean tract analysis, Tract-Based Spatial Statistics (TBSS) and voxel-based morphometry (VBM) demonstrating diffusely reduced fractional anisotropy (FA) reduction in all white matter tracts, the along-tract analysis improved the detection of regional tract vulnerability. The along-tract map-structural network topology correlates revealed two associations: (1) reduced regional posterior-anterior gradient in FA of the longitudinal visual cortical association tracts (inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, optic radiation, posterior thalamic radiation) correlated with reduced posterior-anterior gradient of intra-regional (nodal efficiency) metrics with relative sparing of frontal and temporal regions; and (2) reduced regional FA within frontal-thalamic-striatal white matter pathways (anterior limb/anterior thalamic radiation, superior longitudinal fasciculus and cortical spinal tract) correlated with alteration in eigenvector centrality, clustering coefficient (inter-regional) and participation co-efficient (inter-modular) alterations of frontal-striatal and fronto-limbic nodes suggesting re-organization of these pathways. Both along tract and structural topology network measurements correlated strongly with motor and visual clinical outcome scores. This study shows the value of combining along-tract analysis and structural network topology in depicting not only selective parietal occipital regional vulnerability but also reorganization of frontal-striatal and frontal-limbic pathways in preterm children with cerebral palsy. These finding also support the concept that widespread, but selective posterior-anterior neural network connectivity alterations in preterm children with cerebral palsy likely contribute to the pathogenesis of neurosensory and cognitive impairment in this group.

No MeSH data available.


Related in: MedlinePlus

Predictive power of principal component analysis using area under the ROC (AUROC). A) The set of principal components accounting for 80% of the explained variance in the corticospinal tract were used to predict motor deficiency scores with high predictive power. B) The set of principal components accounting for 80% of the explained variance in the optic radiations were used to predict visual deficit scores with high predictive power.
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f0065: Predictive power of principal component analysis using area under the ROC (AUROC). A) The set of principal components accounting for 80% of the explained variance in the corticospinal tract were used to predict motor deficiency scores with high predictive power. B) The set of principal components accounting for 80% of the explained variance in the optic radiations were used to predict visual deficit scores with high predictive power.

Mentions: Using principal component analysis, we found that the along tract measurements of the cortical spinal tract and optic radiation demonstrate strong predictive ROC values for both motor (AUC = 0.896) and visual scores (AUC = 0.993) (Fig. 13). With respect to structural network topology measurements, there was a stronger correlation between visual outcomes scores and the global efficiency (−.769) compared to the correlation between global efficiency and motor outcome scores (−.328).


Regional vulnerability of longitudinal cortical association connectivity: Associated with structural network topology alterations in preterm children with cerebral palsy.

Ceschin R, Lee VK, Schmithorst V, Panigrahy A - Neuroimage Clin (2015)

Predictive power of principal component analysis using area under the ROC (AUROC). A) The set of principal components accounting for 80% of the explained variance in the corticospinal tract were used to predict motor deficiency scores with high predictive power. B) The set of principal components accounting for 80% of the explained variance in the optic radiations were used to predict visual deficit scores with high predictive power.
© Copyright Policy - CC BY-NC-ND
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4588423&req=5

f0065: Predictive power of principal component analysis using area under the ROC (AUROC). A) The set of principal components accounting for 80% of the explained variance in the corticospinal tract were used to predict motor deficiency scores with high predictive power. B) The set of principal components accounting for 80% of the explained variance in the optic radiations were used to predict visual deficit scores with high predictive power.
Mentions: Using principal component analysis, we found that the along tract measurements of the cortical spinal tract and optic radiation demonstrate strong predictive ROC values for both motor (AUC = 0.896) and visual scores (AUC = 0.993) (Fig. 13). With respect to structural network topology measurements, there was a stronger correlation between visual outcomes scores and the global efficiency (−.769) compared to the correlation between global efficiency and motor outcome scores (−.328).

Bottom Line: Despite mean tract analysis, Tract-Based Spatial Statistics (TBSS) and voxel-based morphometry (VBM) demonstrating diffusely reduced fractional anisotropy (FA) reduction in all white matter tracts, the along-tract analysis improved the detection of regional tract vulnerability.The along-tract map-structural network topology correlates revealed two associations: (1) reduced regional posterior-anterior gradient in FA of the longitudinal visual cortical association tracts (inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, optic radiation, posterior thalamic radiation) correlated with reduced posterior-anterior gradient of intra-regional (nodal efficiency) metrics with relative sparing of frontal and temporal regions; and (2) reduced regional FA within frontal-thalamic-striatal white matter pathways (anterior limb/anterior thalamic radiation, superior longitudinal fasciculus and cortical spinal tract) correlated with alteration in eigenvector centrality, clustering coefficient (inter-regional) and participation co-efficient (inter-modular) alterations of frontal-striatal and fronto-limbic nodes suggesting re-organization of these pathways.Both along tract and structural topology network measurements correlated strongly with motor and visual clinical outcome scores.

View Article: PubMed Central - PubMed

Affiliation: Department of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA ; Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

ABSTRACT
Preterm born children with spastic diplegia type of cerebral palsy and white matter injury or periventricular leukomalacia (PVL), are known to have motor, visual and cognitive impairments. Most diffusion tensor imaging (DTI) studies performed in this group have demonstrated widespread abnormalities using averaged deterministic tractography and voxel-based DTI measurements. Little is known about structural network correlates of white matter topography and reorganization in preterm cerebral palsy, despite the availability of new therapies and the need for brain imaging biomarkers. Here, we combined novel post-processing methodology of probabilistic tractography data in this preterm cohort to improve spatial and regional delineation of longitudinal cortical association tract abnormalities using an along-tract approach, and compared these data to structural DTI cortical network topology analysis. DTI images were acquired on 16 preterm children with cerebral palsy (mean age 5.6 ± 4) and 75 healthy controls (mean age 5.7 ± 3.4). Despite mean tract analysis, Tract-Based Spatial Statistics (TBSS) and voxel-based morphometry (VBM) demonstrating diffusely reduced fractional anisotropy (FA) reduction in all white matter tracts, the along-tract analysis improved the detection of regional tract vulnerability. The along-tract map-structural network topology correlates revealed two associations: (1) reduced regional posterior-anterior gradient in FA of the longitudinal visual cortical association tracts (inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, optic radiation, posterior thalamic radiation) correlated with reduced posterior-anterior gradient of intra-regional (nodal efficiency) metrics with relative sparing of frontal and temporal regions; and (2) reduced regional FA within frontal-thalamic-striatal white matter pathways (anterior limb/anterior thalamic radiation, superior longitudinal fasciculus and cortical spinal tract) correlated with alteration in eigenvector centrality, clustering coefficient (inter-regional) and participation co-efficient (inter-modular) alterations of frontal-striatal and fronto-limbic nodes suggesting re-organization of these pathways. Both along tract and structural topology network measurements correlated strongly with motor and visual clinical outcome scores. This study shows the value of combining along-tract analysis and structural network topology in depicting not only selective parietal occipital regional vulnerability but also reorganization of frontal-striatal and frontal-limbic pathways in preterm children with cerebral palsy. These finding also support the concept that widespread, but selective posterior-anterior neural network connectivity alterations in preterm children with cerebral palsy likely contribute to the pathogenesis of neurosensory and cognitive impairment in this group.

No MeSH data available.


Related in: MedlinePlus