A framework on surface-based connectivity quantification for the human brain

Huang, Hao; Prince, Jerry L.; Mishra, Virendra; Carass, Aaron; Landman, Bennett A.; Park, Denise C.; Tamminga, Carol; King, Richard; Miller, Michael I.; Zijl, Peter van; Mori, Susumu

doi:10.1016/j.jneumeth.2011.02.017

Cited by 6 publications

(6 citation statements)

References 34 publications

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“…Other association tracts were successfully traced, including the uncinate fasciculus, inferior fronto-occipital fasciculus and inferior longitudinal fasciculus, and appear thinner and narrower in the macaque brain (Fig 3d) compared to those in the human brain (Wakana et al, 2004). This suggests that the connected cortical regions of these association tracts are not as widely distributed as those in the human brain (Huang et al, 2011). …”

Section: Discussionmentioning

confidence: 99%

Population-averaged macaque brain atlas with high-resolution ex vivo DTI integrated into in vivo space

Feng

Jeon

et al. 2017

Brain Struct Funct

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Animal models of the rhesus macaque (Macaca mulatta), the most widely used nonhuman primate, have been irreplaceable in neurobiological studies. However, a population-averaged macaque brain diffusion-tensor-imaging (DTI) atlas, including comprehensive gray and white matter labeling as well as bony and facial landmarks guiding invasive experimental procedures, is not available. The macaque white matter tract pathways and microstructures have been rarely recorded. Here, we established a population-averaged macaque brain atlas with high-resolution ex vivo DTI integrated into in vivo space incorporating bony and facial landmarks, and delineated microstructures and three-dimensional pathways of major white matter tracts. In vivo MRI/DTI and ex vivo (postmortem) DTI of 10 rhesus macaque brains were acquired. Single-subject macaque brain DTI template was obtained by transforming the postmortem high resolution DTI data into in vivo space. Ex vivo DTI of 10 macaque brains was then averaged in the in vivo single-subject template space to generate population-averaged macaque brain DTI atlas. The white matter tracts were traced with DTI-based tractography. 118 neural structures including all cortical gyri, white matter tracts and subcortical nuclei, were labeled manually on population-averaged DTI-derived maps. The in vivo microstructural metrics of fractional anisotropy, axial, radial and mean diffusivity of the traced white matter tracts were measured. Population-averaged digital atlas integrated into in vivo space can be used to label the experimental macaque brain automatically. Bony and facial landmarks will be available for guiding invasive procedures. The DTI-metric measurements offer unique insights into heterogeneous microstructural profiles of different white matter tracts.

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Section: Discussionmentioning

confidence: 99%

Population-averaged macaque brain atlas with high-resolution ex vivo DTI integrated into in vivo space

Feng

Jeon

et al. 2017

Brain Struct Funct

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“…The current approach of tracing WM initialized from a certain cortical gyrus is extended from our previous study mapping the WM axons initialized from a certain cortical lobe to the cortical surface ( Huang et al, 2011 ). Evaluation tests were performed with computation of the Dice ratios by adjusting the seed ROI for WM tracing.…”

Section: Discussionmentioning

confidence: 99%

Synchronous Changes of Cortical Thickness and Corresponding White Matter Microstructure During Brain Development Accessed by Diffusion MRI Tractography from Parcellated Cortex

et al. 2015

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Cortical thickness (CT) changes during normal brain development is associated with complicated cellular and molecular processes including synaptic pruning and apoptosis. In parallel, the microstructural enhancement of developmental white matter (WM) axons with their neuronal bodies in the cerebral cortex has been widely reported with measurements of metrics derived from diffusion tensor imaging (DTI), especially fractional anisotropy (FA). We hypothesized that the changes of CT and microstructural enhancement of corresponding axons are highly interacted during development. DTI and T1-weighted images of 50 healthy children and adolescents between the ages of 7 and 25 years were acquired. With the parcellated cortical gyri transformed from T1-weighted images to DTI space as the tractography seeds, probabilistic tracking was performed to delineate the WM fibers traced from specific parcellated cortical regions. CT was measured at certain cortical regions and FA was measured from the WM fibers traced from same cortical regions. The CT of all frontal cortical gyri, including Brodmann areas 4, 6, 8, 9, 10, 11, 44, 45, 46, and 47, decreased significantly and heterogeneously; concurrently, significant, and heterogeneous increases of FA of WM traced from corresponding regions were found. We further revealed significant correlation between the slopes of the CT decrease and the slopes of corresponding WM FA increase in all frontal cortical gyri, suggesting coherent cortical pruning and corresponding WM microstructural enhancement. Such correlation was not found in cortical regions other than frontal cortex. The molecular and cellular mechanisms of these synchronous changes may be associated with overlapping signaling pathways of axonal guidance, synaptic pruning, neuronal apoptosis, and more prevalent interstitial neurons in the prefrontal cortex. Revealing the coherence of cortical and WM structural changes during development may open a new window for understanding the underlying mechanisms of developing brain circuits and structural abnormality associated with mental disorders.

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“…Especially the mismatched voxels in CSF or outside of the brain could lead to significant bias as MD values of CSF or background are dramatically different from those of cortical MD (around 0.7 to 0.9×10 −3 mm 2 /s). Fast marching was used to conduct elastic morphing and ensure that gyral labels were only assigned to the voxels inside the cortical ribbon of the MD map and no gyral labels were assigned to any CSF or background voxels Huang et al, 2011. PVE in DTI have been well recognized (e.g.…”

Section: Discussionmentioning

confidence: 99%

Regional changes of cortical mean diffusivities with aging after correction of partial volume effects

Jeon¹,

Mishra²,

Uh³

et al. 2012

NeuroImage

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Accurately measuring the cortical mean diffusivity (MD) derived from diffusion tensor imaging (DTI) at the comprehensive lobe, gyral and voxel level of young, elderly healthy brains and those with Alzheimer's disease (AD) may provide insights on heterogeneous cortical microstructural changes caused by aging and AD. Due to partial volume effects (PVE), the measurement of cortical MD is overestimated with contamination of cerebrospinal fluid (CSF). The bias is especially severe for aging and AD brains because of significant cortical thinning of these brains. In this study, we aimed to quantitatively characterize the unbiased regional cortical MD changes due to aging and AD and delineate the effects of cortical thinning of elderly healthy and AD groups on MD measurements. DTI and T1-weighted images of 14 young, 15 elderly healthy subjects and 17 AD patients were acquired. With the parcellated cortical gyri and lobes from T1 weighted image transformed to DTI, regional cortical MD of all subjects before and after PVE correction were measured. CSF contamination model was used to correct bias of MD caused by PVE. Compared to cortical MD of young group, significant increases of corrected MD for elderly healthy and AD groups were found only in frontal and limbic regions, respectively, while there were significant increases of uncorrected MD all over the cortex. Uncorrected MD are significantly higher in limbic and temporal gyri in AD group, compared to those in elderly healthy group but higher MD only remained in limbic gyri after PVE correction. Cortical thickness was also measured for all groups. The correlation slopes between cortical MD and thickness for elderly healthy and AD groups were significantly decreased after PVE correction compared to before correction while no significant change of correlation slope was detected for young group. It suggests that the cortical thinning in elderly healthy and AD groups is a significant contributor to the bias of uncorrected cortical MD measurement. The established comprehensive unbiased cortical MD profiles of young, elderly healthy subjects and AD patients at the lobe, gyral and voxel level may serve as clinical references for cortical microstructure.

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A framework on surface-based connectivity quantification for the human brain

Cited by 6 publications

References 34 publications

Population-averaged macaque brain atlas with high-resolution ex vivo DTI integrated into in vivo space

Population-averaged macaque brain atlas with high-resolution ex vivo DTI integrated into in vivo space

Synchronous Changes of Cortical Thickness and Corresponding White Matter Microstructure During Brain Development Accessed by Diffusion MRI Tractography from Parcellated Cortex

Regional changes of cortical mean diffusivities with aging after correction of partial volume effects

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