Reproducibility of corticospinal diffusion tensor tractography in normal subjects and hemiparetic stroke patients

Lin, Chao Chun; Tsai, Miao Yu; Lo, Yu Chien; Liu, Yi Jui; Tsai, Pang-Yao; Wu, Chiao Ying; Lin, Chia Wei; Shen, Wu‐Chung; Chung, Hsiao Wen

doi:10.1016/j.ejrad.2013.06.016

Cited by 21 publications

(19 citation statements)

References 26 publications

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“…In comparison to related work on test–retest reproducibility of white matter parcellation, we found that both of the fiber clustering and cortical‐parcellation‐based methods performed relatively well. While existing studies applied different evaluation criteria using different testing datasets (Besseling et al, ; Cheng et al, ; Ciccarelli et al, ; Cousineau et al, ; Duan et al, ; Kristo et al, ; Lin et al, ; Owen et al, ; Papinutto et al, ; Pfefferbaum et al, ; Smith et al, ; Vollmar et al, ; Wang et al, ; Yendiki et al, ; Zhao et al, ), one study performed volumetric‐overlap‐based experiments in a comparable way to the present study (Cousineau et al, ). In this work, Cousineau et al studied test–retest reproducibility of a Freesurfer‐based cortical‐parcellation‐based anatomical tract parcellation on PPMI data and suggested a threshold for a good wDice score to be 0.72 (based on an analysis of the mean wDice score across data in a healthy population; Cousineau et al, ).…”

Section: Discussionmentioning

confidence: 99%

“…Test–retest reproducibility assesses whether parcellated white matter structures can be reliably reproduced for the same individual subject in repeated (test–retest) dMRI scans. Test–retest reproducibility is considered to be a good indicator of the reliability of white matter parcellation for potential clinical applications (Besseling et al, ; Jovicich et al, ; Keihaninejad et al, ; Kristo et al, ; Lin et al, ). To measure test–retest reproducibility, previous works have used geometrical measures such as volume, volumetric overlap, fiber length and shape, and number of fibers (Cheng et al, ; Cousineau et al, ; Kristo et al, ; Lin et al, ; Owen, Chang, & Mukherjee, ; Smith, Tournier, Calamante, & Connelly, ; Wang et al, ; Zhao et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…Test–retest reproducibility is considered to be a good indicator of the reliability of white matter parcellation for potential clinical applications (Besseling et al, ; Jovicich et al, ; Keihaninejad et al, ; Kristo et al, ; Lin et al, ). To measure test–retest reproducibility, previous works have used geometrical measures such as volume, volumetric overlap, fiber length and shape, and number of fibers (Cheng et al, ; Cousineau et al, ; Kristo et al, ; Lin et al, ; Owen, Chang, & Mukherjee, ; Smith, Tournier, Calamante, & Connelly, ; Wang et al, ; Zhao et al, ). Other groups have used diffusion measures such as fractional anisotropy (FA) and mean diffusivity (MD) computed from the voxels through which the parcellated fibers pass (Besseling et al, ; Ciccarelli et al, ; Duan, Zhao, He, & Shu, ; Kristo et al, ; Papinutto, Maule, & Jovicich, ; Pfefferbaum, Adalsteinsson, & Sullivan, ; Vollmar et al, ; Yendiki, Reuter, Paul, Diana Rosas, & Fischl, ).…”

Section: Introductionmentioning

confidence: 99%

“…Other groups have used diffusion measures such as fractional anisotropy (FA) and mean diffusivity (MD) computed from the voxels through which the parcellated fibers pass (Besseling et al, ; Ciccarelli et al, ; Duan, Zhao, He, & Shu, ; Kristo et al, ; Papinutto, Maule, & Jovicich, ; Pfefferbaum, Adalsteinsson, & Sullivan, ; Vollmar et al, ; Yendiki, Reuter, Paul, Diana Rosas, & Fischl, ). While multiple studies have assessed test–retest reproducibility of white matter parcellations using cortical‐parcellation‐based strategies, for example, on the brain connectome network (Besson, Lopes, Leclerc, Derambure, & Tyvaert, ; Bonilha et al, ; Buchanan, Pernet, Gorgolewski, Storkey, & Bastin, ; Dennis et al, ; Duda, Cook, & Gee, ; Schumacher et al, ; Smith et al, ; Vaessen et al, ; Zhao et al, ; Zhang, Descoteaux, et al, ) and on anatomical fiber tracts (Besseling et al, ; Cousineau et al, ; Heiervang, Behrens, Mackay, Robson, & Johansen‐Berg, ; Kristo et al, ; Lin et al, ; Papinutto et al, ; Tensaouti, Lahlou, Clarisse, Lotterie, & Berry, ; Wang et al, ; Yendiki et al, ), there are no existing studies of fiber clustering, to our knowledge. Studies have suggested that fiber clustering approaches have advantages in parcellating the white matter in a highly consistent way, aiming to reconstruct fiber parcels/tracts corresponding to the white matter anatomy (Ge et al, ; Sydnor et al, ; Zhang et al, ; Zhang, Wu, Norton, et al, ; Ziyan, Sabuncu, Eric, Grimson, & Westin, ), while cortical‐parcellation‐based methods could be less consistent considering factors such as the variability of intersubject cortical anatomy, the dependence on registration between dMRI and structural images, and the presence of false positive/negative connections (Amunts et al, ; Fischl, Sereno, Tootell, & Dale, ; Maier‐Hein et al, ; Sinke et al, ; Zhang, Descoteaux, et al, ).…”

Section: Introductionmentioning

confidence: 99%

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Test–retest reproducibility of white matter parcellation using diffusion MRI tractography fiber clustering

Zhang

Norton

et al. 2019

Human Brain Mapping

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There are two popular approaches for automated white matter parcellation using diffusion MRI tractography, including fiber clustering strategies that group white matter fibers according to their geometric trajectories and cortical‐parcellation‐based strategies that focus on the structural connectivity among different brain regions of interest. While multiple studies have assessed test–retest reproducibility of automated white matter parcellations using cortical‐parcellation‐based strategies, there are no existing studies of test–retest reproducibility of fiber clustering parcellation. In this work, we perform what we believe is the first study of fiber clustering white matter parcellation test–retest reproducibility. The assessment is performed on three test–retest diffusion MRI datasets including a total of 255 subjects across genders, a broad age range (5–82 years), health conditions (autism, Parkinson's disease and healthy subjects), and imaging acquisition protocols (three different sites). A comprehensive evaluation is conducted for a fiber clustering method that leverages an anatomically curated fiber clustering white matter atlas, with comparison to a popular cortical‐parcellation‐based method. The two methods are compared for the two main white matter parcellation applications of dividing the entire white matter into parcels (i.e., whole brain white matter parcellation) and identifying particular anatomical fiber tracts (i.e., anatomical fiber tract parcellation). Test–retest reproducibility is measured using both geometric and diffusion features, including volumetric overlap (wDice) and relative difference of fractional anisotropy. Our experimental results in general indicate that the fiber clustering method produced more reproducible white matter parcellations than the cortical‐parcellation‐based method.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Test–retest reproducibility of white matter parcellation using diffusion MRI tractography fiber clustering

Zhang

Norton

et al. 2019

Human Brain Mapping

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“…The CST of the whole brain was selected as the ROI. The tractography of the CST was formulated by constraining the seeds at the pons and the bilateral primary motor cortices [29]. …”

Section: Methodsmentioning

confidence: 99%

Investigation of Motor Cortical Plasticity and Corticospinal Tract Diffusion Tensor Imaging in Patients with Parkinsons Disease and Essential Tremor

Chen

Duann

et al. 2016

PLoS ONE

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Parkinson’s disease (PD) and essential tremor (ET) are characterized with motor dysfunctions. Motor circuit dysfunctions can be complementarily investigated by paired associative stimulation (PAS)-induced long-term potentiation (LTP)-like plasticity and diffusion tensor imaging (DTI) of the corticospinal tract (CST). Three groups of twelve subjects with moderate severity PD, ET with intention tremor and healthy controls (HC) were studied. The primary motor cortex (M1) excitability, measured by motor evoked potential (MEP) amplitude and by short-interval and long-interval intracortical inhibition (SICI and LICI) was compared between the three groups before and after PAS. The DTI measures of fractional anisotropy (FA) and mean diffusivity (MD) were acquired. PAS effects and DTI data were simultaneously examined between groups. PAS increased MEP amplitude in HC but not in PD and ET. SICI and LICI were significantly reduced after PAS irrespective of groups. No significant differences of the mean FA and MD were found between groups. There was no significant correlation between the PAS effects and the DTI measures. Findings suggest that both PD and ET with intention tremor have impairment of the associative LTP-like corticospinal excitability change in M1. The microstructure of the CST is not relevant to the deficiency of M1 associative plasticity in PD and ET.

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Test–retest reliability and minimal detectable change of corticospinal tract integrity in chronic stroke

Lewis

Myers

Heiser

et al. 2020

Human Brain Mapping

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Diffusion tensor imaging (DTI) can be used to index white matter integrity of the corticospinal tract (CST) after stroke; however, the psychometric properties of DTIbased measures of white matter integrity are unknown. The purpose of this study was to examine test-retest reliability as determined by intraclass correlation coefficients (ICC) and calculate minimal detectable change (MDC) of DTI-based measures of CST integrity using three different approaches: a Cerebral Peduncle approach, a Probabilistic Tract approach, and a Tract Template approach. Eighteen participants with chronic stroke underwent DTI on the same magnetic resonance imaging scanner 4 days apart.For the Cerebral Peduncle approach, a researcher hand drew masks at the cerebral peduncle. For the Probabilistic Tract approach, tractography was seeded in motor areas of the cortex to the cerebral peduncle. For the Tract Template approach, a standard CST template was transformed into native space. For all approaches, the researcher performing analyses was blind to participant number and day of data collection. All three approaches had good to excellent test-retest reliability for fractional anisotropy (FA; ICCs >0.786). Mean diffusivity, axial diffusivity, and radial diffusivity were less reliable than FA. The ICC values were highest and MDC values were the smallest for the most automated approach (Tract Template), followed by the combined manual/automated approach (Probabilistic Tract) then the manual approach (Cerebral Peduncle). The results of this study may have implications for how DTI-based measures of CST integrity are used to define impairment, predict outcomes, and interpret change after stroke. K E Y W O R D S corticospinal tract, diffusion tensor imaging, fractional anisotropy, minimal detectable change, reliability, stroke

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Reproducibility of corticospinal diffusion tensor tractography in normal subjects and hemiparetic stroke patients

Cited by 21 publications

References 26 publications

Test–retest reproducibility of white matter parcellation using diffusion MRI tractography fiber clustering

Test–retest reproducibility of white matter parcellation using diffusion MRI tractography fiber clustering

Investigation of Motor Cortical Plasticity and Corticospinal Tract Diffusion Tensor Imaging in Patients with Parkinsons Disease and Essential Tremor

Test–retest reliability and minimal detectable change of corticospinal tract integrity in chronic stroke

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