Tractography optimization using quantitative T1 mapping in the human optic radiation

Schurr, Roey; Duan, Yiran; Norcia, Anthony M.; Ogawa, Shumpei; Yeatman, Jason D.; Mezer, Aviv

doi:10.1016/j.neuroimage.2018.06.060

Cited by 32 publications

(24 citation statements)

References 71 publications

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“…The MD profile shows the biggest difference between the two datasets, as STAN33 shows a positive effect and HCP100 a negative effect. For the quantitative nondiffusion measurements, although we have a quantitative nondiffusion maps for STAN33 only, we compared the STAN33 quantitative R1 profile to the HCP100 semiquantitative T1w/T2w profile, as both have been theorized to be sensitive to myelin content (Glasser & Van Essen, ; Schurr et al, ; Stuber et al, ). We find that the R1 profile has a constant leftward laterality, while the T1w/T2w profile shows a stronger leftward laterality at the frontal part of the profile but no significant lateralization thereafter.…”

Section: Resultsmentioning

confidence: 99%

“…For both the STAN33 and HCP100 datasets, we tested for laterality for the three tractography methods DET, PROB, and ePROB using paired-sample, one-tailed t-tests. The * indicates p-values smaller than α = .05 (Bonferroni-corrected we have a quantitative nondiffusion maps for STAN33 only, we compared the STAN33 quantitative R1 profile to the HCP100 semiquantitative T1w/T2w profile, as both have been theorized to be sensitive to myelin content (Glasser & Van Essen, 2011;Schurr et al, 2018;Stuber et al, 2014). We find that the R1 profile has a constant leftward laterality, while the T1w/T2w profile shows a stronger leftward laterality at the frontal part of the profile but no significant lateralization thereafter.…”

Section: Arcuate Microstructure Lateralizationmentioning

confidence: 99%

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Evaluating arcuate fasciculus laterality measurements across dataset and tractography pipelines

Bain

Yeatman

Schurr

et al. 2019

Human Brain Mapping

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The arcuate fasciculi are white‐matter pathways that connect frontal and temporal lobes in each hemisphere. The arcuate plays a key role in the language network and is believed to be left‐lateralized, in line with left hemisphere dominance for language. Measuring the arcuate in vivo requires diffusion magnetic resonance imaging–based tractography, but asymmetry of the in vivo arcuate is not always reliably detected in previous studies. It is unknown how the choice of tractography algorithm, with each method's freedoms, constraints, and vulnerabilities to false‐positive and ‐negative errors, impacts findings of arcuate asymmetry. Here, we identify the arcuate in two independent datasets using a number of tractography strategies and methodological constraints, and assess their impact on estimates of arcuate laterality. We test three tractography methods: a deterministic, a probabilistic, and a tractography‐evaluation (LiFE) algorithm. We extract the arcuate from the whole‐brain tractogram, and compare it to an arcuate bundle constrained even further by selecting only those streamlines that connect to anatomically relevant cortical regions. We test arcuate macrostructure laterality, and also evaluate microstructure profiles for properties such as fractional anisotropy and quantitative R1. We find that both tractography choice and implementing the cortical constraints substantially impact estimates of all indices of arcuate laterality. Together, these results emphasize the effect of the tractography pipeline on estimates of arcuate laterality in both macrostructure and microstructure.

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Section: Resultsmentioning

confidence: 99%

Section: Arcuate Microstructure Lateralizationmentioning

confidence: 99%

Evaluating arcuate fasciculus laterality measurements across dataset and tractography pipelines

Bain

Yeatman

Schurr

et al. 2019

Human Brain Mapping

Self Cite

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“…While the precise definition of the SS has been debated among investigators, most researchers agree that it includes the optic radiation, which is a projection fiber system connecting the LGN and V1 ( Sachs, 1892 ; Schmahmann and Pandya, 2006 ; Schurr et al, 2018 ). Using 3D-PLI, we confirmed the existence of fibers that leave the LGN and merge into the rostral part of the SS ( Figure 2 ).…”

Section: Discussionmentioning

confidence: 99%

Anatomy of nerve fiber bundles at micrometer-resolution in the vervet monkey visual system

Takemura

Palomero‐Gallagher

Axer

et al. 2020

eLife

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Although the primate visual system has been extensively studied, detailed spatial organization of white matter fiber tracts carrying visual information between areas has not been fully established. This is mainly due to the large gap between tracer studies and diffusion-weighted MRI studies, which focus on specific axonal connections and macroscale organization of fiber tracts, respectively. Here we used 3D polarization light imaging (3D-PLI), which enables direct visualization of fiber tracts at micrometer resolution, to identify and visualize fiber tracts of the visual system, such as stratum sagittale, inferior longitudinal fascicle, vertical occipital fascicle, tapetum and dorsal occipital bundle in vervet monkey brains. Moreover, 3D-PLI data provide detailed information on cortical projections of these tracts, distinction between neighboring tracts, and novel short-range pathways. This work provides essential information for interpretation of functional and diffusion-weighted MRI data, as well as revision of wiring diagrams based upon observations in the vervet visual system.

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“…This leads to difficulties in tracking narrow corridors of white matter particularly when axonal crossing occurs. Tractography algorithms using anatomical information from a high-resolution T1-weighted image have been proposed to guide tractography toward the gray matter and reduce bias in the narrow white matter pathways (Smith et al 2012 ; Girard et al 2014 ; Schurr et al 2018 ). This has been shown to reduce some of the bias in the overall streamline reconstruction but other bias remains, such as streamlines neglecting the bank of sulci (Van Essen et al 2014 ; Reveley et al 2015 ; Donahue et al 2016 ; Schilling et al 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Topological principles and developmental algorithms might refine diffusion tractography

et al. 2018

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The identification and reconstruction of axonal pathways in the living brain or “ex-vivo” is promising a revolution in connectivity studies bridging the gap from animal to human neuroanatomy with extensions to brain structural–functional correlates. Unfortunately, the methods suffer from juvenile drawbacks. In this perspective paper we mention several computational and developmental principles, which might stimulate a new generation of algorithms and a discussion bridging the neuroimaging and neuroanatomy communities. Electronic supplementary material The online version of this article (10.1007/s00429-018-1759-1) contains supplementary material, which is available to authorized users.

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Tractography optimization using quantitative T1 mapping in the human optic radiation

Cited by 32 publications

References 71 publications

Evaluating arcuate fasciculus laterality measurements across dataset and tractography pipelines

Evaluating arcuate fasciculus laterality measurements across dataset and tractography pipelines

Anatomy of nerve fiber bundles at micrometer-resolution in the vervet monkey visual system

Topological principles and developmental algorithms might refine diffusion tractography

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