Voxel-wise group analysis of DTI

pre-printDiffusion tensor MRI (DTI) is now a widely used modality to investigate the fiber tissues in vivo, especially the white matter in brain. An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps: 1) Preprocessing, including image format converting, image quality check, eddy-current and motion artifact correction, skull stripping and tensor image estimation, 2) study-specific unbiased DTI atlas computation via affine followed by fluid nonlinear registration and warping of all individual DTI images into the common atlas space to achieve voxel-wise correspondence, 3) voxel-wise statistical analysis via heterogeneous linear regression and wild bootstrap technique for correcting for multiple comparisons. This pipeline was applied to process data from a fitness and aging study and preliminary results are presented. The results show that this fully automatic pipeline is suitable for voxel-wise group DTI analysis

Evaluation of DTI property maps as basis of DTI atlas building

pre-printCompared to region of interest based DTI analysis, voxel-based analysis gives higher degree of localization and avoids the procedure of manual delineation with the resulting intra and inter-rater variability. One of the major challenges in voxel-wise DTI analysis is to get high quality voxel-level correspondence. For that purpose, current DTI analysis tools are building on nonlinear registration algorithms that deform individual datasets into a template image that is either precomputed or computed as part of the analysis. A variety of matching criteria and deformation schemes have been proposed, but often comparative evaluation is missing. In our opinion, the use of consistent and unbiased measures to evaluate current DTI procedures is of great importance and our work presents two possible measures. Specifically, we propose the evaluation criteria generalization and specificity, originally introduced by the shape modeling community, to evaluate and compare different DTI nonlinear warping results. These measures are of indirect nature and have a population wise view. Both measures incorporate information of the variability of the registration results in the template space via a voxel-wise PCA model. Thus far, we have used these measures to evaluate our own DTI analysis procedure employing fluid-based registration on scalar DTI maps. Generalization and specificity from tensor images in the template space were computed for 8 scalar property maps. We found that for our procedure an intensity-normalized FA feature outperformed the other scalar measurements. Also, using the tensor images rather than the FA maps as a comparison frame seemed to produce more robust results

Quality control of diffusion weighted images

pre-printDiffusion Tensor Imaging (DTI) has become an important MRI procedure to investigate the integrity of white matter in brain in vivo. DTI is estimated from a series of acquired Diffusion Weighted Imaging (DWI) volumes. DWI data suffers from inherent low SNR, overall long scanning time of multiple directional encoding with correspondingly large risk to encounter several kinds of artifacts. These artifacts can be too severe for a correct and stable estimation of the diffusion tensor. Thus, a quality control (QC) procedure is absolutely necessary for DTI studies. Currently, routine DTI QC procedures are conducted manually by visually checking the DWI data set in a gradient by gradient and slice by slice way. The results often suffer from low consistence across different data sets, lack of agreement of different experts, and difficulty to judge motion artifacts by qualitative inspection. Additionally considerable manpower is needed for this step due to the large number of images to QC, which is common for group comparison and longitudinal studies, especially with increasing number of diffusion gradient directions. We present a framework for automatic DWI QC. We developed a tool called DTIPrep which pipelines the QC steps with a detailed protocoling and reporting facility. And it is fully open source. This framework/tool has been successfully applied to several DTI studies with several hundred DWIs in our lab as well as collaborating labs in Utah and Iowa. In our studies, the tool provides a crucial piece for robust DTI analysis in brain white matter study

UNC-Utah NA-MIC framework for DTI fiber tract analysis

pre-printDiffusion tensor imaging has become an important modality in field of neuroimaging to capture changes in micro-organization and to assess white matter integrity or development While there exists a number of tractography toolsets, these usually lack tools for preprocessing or to analyze diffusion properties along the fiber tracts. Currently, the field is in critical need of a coherent end-to-end toolset for performing an along-fiber tract analysis, accessible to non-technical neuroimaging researchers. The UNC-Utah NA-MIC DTI framework represents a coherent, open source, end-to-end toolset for atlas building, fiber tractography, fiber parameterization, and statistical analysis of diffusion properties. Most steps utilize graphical user interfaces (GUI) to simplify interaction and provide an extensive DTI analysis framework for non-tecnical researchers/investigators. We illustrate the use of our framework on a small sample, cross sectional neuroimaging study of eight healthy 1-year-old children from the Infant Brain Imaging Study (IBIS) Network. In This limited test study, we illustrate the power of our method by quantifying the diffusion properties at 1 year of age on the genu and splenium fiber tracts

Automated voxel-wise brain DTI analysis of fitness and aging

Diffusion Tensor Imaging (DTI) has become a widely used MR modality to investigate white matter integrity in the brain. This paper presents the application of an automated method for voxel-wise group comparisons of DTI images in a study of fitness and aging. The automated processing method consists of 3 steps: 1) preprocessing including image format converting, image quality control, eddy-current and motion artifact correction, skull stripping and tensor image estimation, 2) study-specific unbiased DTI atlas computation via diffeomorphic fluid-based and demons deformable registration and 3) voxel-wise statistical analysis via heterogeneous linear regression and a wild bootstrap technique for correcting for multiple comparisons. Our results show that this fully automated method is suitable for voxel-wise group DTI analysis. Furthermore, in older adults, the results suggest a strong link between reduced fractional anisotropy (FA) values, fitness and aging

Effekten av Depression under Graviditeten på Neonatal Nervfiberintegritet

Introduction: Prenatal maternal depression is a common complication and has been associated with poor mental health outcomes and altered brain structure in the child. Neurobiological mechanisms mediating these outcomes remain unclear to date. To yield more knowledge surrounding this, it would be interesting to examine how prenatal maternal depression may impact neonatal brain structures that play key roles in optimal mental health. Two such structures are the fornix and the uncinate fasciculus (UF). Aim: To explore the influence of maternal depression during pregnancy on microstructural integrity of the white matter tracts of the fornix and uncinate fasciculus in newborns. Materials and Methods: 87 mother-infant pairs were included. Inclusion criteria were pregnant women in the first trimester and who after birth were deemed obstetrically free of complications. Exclusion criteria were maternal use of psychotropic medicines, corticosteroids, or tobacco or other drugs, gestational age at birth <34 weeks, congenital, genetic or other major neurological disorders at birth. Depressive symptoms were measured with a standard questionnaire. Neonatal white matter maturation was measured with diffusion tensor imaging. The relationship between these parameters was analyzed with ANOVA models. Results: Prenatal maternal depression during the third trimester was positively correlated with higher fractional anisotropy in 12 consecutive points along the tract of the right UF in boys (p=0.0428). No other significant (p<0.05) associations were found with sex, tracts or trimesters. Conclusions: Maternal depression affects the maturation of the fetal male brain. The consequence of this for child affective problems should be examined in longitudinal studies.Bakgrund: Depression hos modern är en vanlig komplikation och har korrelerats till ogynnsam utveckling av både hjärnstrukturer och beteende gällande psykologiska aspekter hos barnet. Bakomliggande mekanismer för dessa fenomen är ännu oklara. För att bidra till kunskapen om detta vore det intressant att undersöka hur depression under graviditeten påverkar neonatala hjärnstrukturer som är essentiella för optimal mental hälsa. Två sådana strukturer är fornix och fasciculus uncinatus (FU). Syfte: Att utforska effekten av depression under graviditeten på den mikrostrukturella integriteten av vit hjärnsubstans fibrerna fornix och FU hos nyfödda. Material och Metoder: 87 moder-spädbarnpar inkluderades. Inklusionskriterier var gravida kvinnor i början av första trimestern och som födde utan obstetriska komplikationer. Exklusionskriterier var bruk av psykofarmaka, kortikosteroider, tobak eller andra droger, gestationsålder <34 veckor vid födseln, samt kongenitala, genetiska eller andra större neurologiska störningar vid födseln. Depressiva symtom mättes med ett standard frågeformulär. Neonatal vitsubstansmognad mättes med diffusionstensoravbildning (DTI). Förhållandet mellan dessa parametrar undersöktes med variansanalys. Resultat: Prenatal moderlig depression under tredje trimestern korrelerade med högre fraktionell anisotropi i 12 konsekutiva punkter i högra fasciculus uncinatus hos pojkar (p = 0,0428). Inga andra signifikanta (p<0,05) korrelationer upptäcktes i resterande kön, nervfibrer eller trimestrar. Slutsatser: Depression under graviditeten påverkar mognaden av det manliga fostrets hjärna. Innebörden av denna effekt för barnets psykiska hälsa bör undersökas i longitudinella studier

UNC-Utah NA-MIC framework for DTI fiber tract analysis

Diffusion tensor imaging has become an important modality in the field of neuroimaging to capture changes in micro-organization and to assess white matter integrity or development. While there exists a number of tractography toolsets, these usually lack tools for preprocessing or to analyze diffusion properties along the fiber tracts. Currently, the field is in critical need of a coherent end-to-end toolset for performing an along-fiber tract analysis, accessible to non-technical neuroimaging researchers. The UNC-Utah NA-MIC DTI framework represents a coherent, open source, end-to-end toolset for atlas fiber tract based DTI analysis encompassing DICOM data conversion, quality control, atlas building, fiber tractography, fiber parameterization, and statistical analysis of diffusion properties. Most steps utilize graphical user interfaces (GUI) to simplify interaction and provide an extensive DTI analysis framework for non-technical researchers/investigators. We illustrate the use of our framework on a small sample, cross sectional neuroimaging study of eight healthy 1-year-old children from the Infant Brain Imaging Study (IBIS) Network. In this limited test study, we illustrate the power of our method by quantifying the diffusion properties at 1 year of age on the genu and splenium fiber tracts

Diffusion Tensor Imaging–Based Characterization of Brain Neurodevelopment in Primates

Primate neuroimaging provides a critical opportunity for understanding neurodevelopment. Yet the lack of a normative description has limited the direct comparison with changes in humans. This paper presents for the first time a cross-sectional diffusion tensor imaging (DTI) study characterizing primate brain neurodevelopment between 1 and 6 years of age on 25 healthy undisturbed rhesus monkeys (14 male, 11 female). A comprehensive analysis including region-of-interest, voxel-wise, and fiber tract–based approach demonstrated significant changes of DTI properties over time. Changes in fractional anisotropy (FA), mean diffusivity, axial diffusivity (AD), and radial diffusivity (RD) exhibited a heterogeneous pattern across different regions as well as along fiber tracts. Most of these patterns are similar to those from human studies yet a few followed unique patterns. Overall, we observed substantial increase in FA and AD and a decrease in RD for white matter (WM) along with similar yet smaller changes in gray matter (GM). We further observed an overall posterior-to-anterior trend in DTI property changes over time and strong correlations between WM and GM development. These DTI trends provide crucial insights into underlying age-related biological maturation, including myelination, axonal density changes, fiber tract reorganization, and synaptic pruning processes

Neuroprotective Effects of Cardiorespiratory Fitness on White Matter Integrity and Cognition Across the Adult Lifespan

Objective: Cardiorespiratory fitness (CRF) is associated with decreased risk for cognitive decline. Accumulating evidence has linked CRF to more conserved white matter (WM) integrity and better cognitive performance in older adults. Additional research is needed to determine: (1) which WM tracts are most strongly related to CRF, (2) whether CRF-related benefits on WM translate to enhanced executive functioning (EF), and (3) if the neuroprotective effects of CRF are age-dependent. This study aimed to evaluate CRF as an intervention for modulating decreased WM integrity and EF in aging. Method: Participants were community-dwelling adults (N = 499; ages 20-85) from the open-access Nathan Kline Institute – Rockland Sample (NKIRS) with CRF (bike test), self-report of physical activity, diffusion tensor imaging (DTI), and EF data. Mixed-effect modeling tested the interaction between CRF and age on WM integrity (global and local microstructure). Significant WM tracts were retained for structural equation modeling to determine whether enhanced microstructure mediated a positive relationship between CRF and EF. Results: Among older participants (age 60), CRF was significantly related to stronger whole-brain (z-score slope = 0.11) and local WM integrity within five tracts (z-score slope range = 0.14 – 0.20). In support of the age-dependent hypothesis, the CRF–WM relationship was comparably weaker (z-score slopes 0.11) and more limited (one WM tract) in younger adults. CRF was more consistently related to WM than self-report of physical activity. Although CRF was linked to enhanced WM integrity, its potential benefits on EF were not directly observed. Conclusion: The findings highlight the importance of positive lifestyle factors, such as physical activity, in maintaining brain health in senescence. CRF may selectively preserve a collection of anterior and posterior WM connections related to visuomotor function