diffusion tensor imaging (dti) (WhiteMatter Labs GmbH)
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WhiteMatter Labs GmbH
diffusion tensor imaging (dti)
Diffusion Tensor Imaging (Dti), supplied by WhiteMatter Labs GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/diffusion+tensor+imaging+(dti)/diffusion+tensor+imaging/pm40075890-40-1-11
Average 90 stars, based on 1 article reviews
Diffusion Tensor Imaging (Dti), supplied by WhiteMatter Labs GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/diffusion+tensor+imaging+(dti)/diffusion+tensor+imaging/pm40075890-40-1-11
Average 90 stars, based on 1 article reviews
diffusion tensor imaging (dti) - by Bioz Stars,
2026-10
90/100 stars
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Diffusion-based Assay:Article Title: White Matter Microstructure and Information Processing at the Completion of Chemotherapy-Only Treatment for Pediatric Acute Lymphoblastic Leukemia. Article Snippet: Little is known about white matter microstructure and its role in information processing abilities of children treated for acute lymphoblastic leukemia (ALL) early posttreatment.. Twenty-one survivors of ALL and 18 controls (7–16 years) underwent neurocognitive assessment.. A subsample underwent diffusion-weighted magnetic resonance imaging. Article Title: Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data. Article Snippet: Objective To identify the white matter (WM) impairments of the antiretroviral therapy (ART)-naïve HIV patients by conducting a multivariate pattern analysis (MVPA) of Diffusion Tensor Imaging (DTI) data Methods We enrolled 33 ART-naïve HIV patients and 32 Normal controls in the current study.. Firstly, the DTI metrics in whole brain WM tracts were extracted for each subject and feed into the Least Absolute Shrinkage and Selection Operators procedure (LASSO)-Logistic regression model to identify the impaired WM tracts.. Then, Support Vector Machines (SVM) model was constructed based on the DTI metrics in the impairedWM tracts to make HIV-control group classification. Article Title: White matter correlates of slowed information processing speed in unimpaired multiple sclerosis patients with young age onset. Article Snippet: Slowed information processing speed is among the earliest markers of cognitive impairment in multiple sclerosis (MS) and has been associated with white matter (WM) structural integrity.. Localization of WM tracts associated with slowing, but not significant impairment, on specific cognitive tasks in pediatric and young age onset MS can facilitate early and effective therapeutic intervention.. Diffusion tensor imaging data were collected on 25 MS patients and 24 controls who also underwent the Symbol Digit Modalities Test (SDMT) and the computer-based Cogstate simple and choice reaction time tests. Article Title: The topological organization of white matter network in internet gaming disorder individuals. Article Snippet: White matter (WM) integrity abnormalities had been reported in Internet gaming disorder (IGD).. Diffusion tensor imaging (DTI) tractography allows identification of WM tracts, potentially providing information about the integrity and organization of relevant underlying WM fiber tracts’ architectures, which has been used to investigate the connectivity of cortical and subcortical structures in several brain disorders.. Unfortunately, relatively little is known about the thoroughly circuit-level characterization of topological property changes of WM network with IGD. Article Title: White matter alterations in college football players: a longitudinal diffusion tensor imaging study. Article Snippet: The aim of this study was to evaluate longitudinal changes in the diffusion characteristics of brain white matter (WM) in collegiate athletes at three time points: prior to the start of the football season (T1), after one season of football (T2), followed by six months of no-contact rest (T3).. Fifteen male collegiate football players and 5 male non-athlete student controls underwent diffusion MR imaging and computerized cognitive testing at all three timepoints.Whole-brain tract-based spatial statistics (TBSS) were used to compare fractional anisotropy (FA), radial diffusivity (RD), axial diffusivity (AD), and trace between all timepoints.. Average diffusion values were obtained from statistically significant clusters for each individual. Article Title: White-matter hyperintensities predict delirium after cardiac surgery. Article Snippet: 938 Objectives: Postoperative delirium is a common psychiatric disorder among patients who undergo cardiac surgery.. Although several studies have investigated risk factors for delirium after cardiac surgery, the association between delirium and cerebral white-matter hyperintensities (WMH) on magnetic resonance (MR) imaging has not been previously studied.. The aim of this study was to identify general risk factors for delirium, as well as to examine the specific relationship between WMH and delirium. Imaging:Article Title: White Matter Microstructure and Information Processing at the Completion of Chemotherapy-Only Treatment for Pediatric Acute Lymphoblastic Leukemia. Article Snippet: Little is known about white matter microstructure and its role in information processing abilities of children treated for acute lymphoblastic leukemia (ALL) early posttreatment.. Twenty-one survivors of ALL and 18 controls (7–16 years) underwent neurocognitive assessment.. A subsample underwent diffusion-weighted magnetic resonance imaging. Article Title: Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data. Article Snippet: Objective To identify the white matter (WM) impairments of the antiretroviral therapy (ART)-naïve HIV patients by conducting a multivariate pattern analysis (MVPA) of Diffusion Tensor Imaging (DTI) data Methods We enrolled 33 ART-naïve HIV patients and 32 Normal controls in the current study.. Firstly, the DTI metrics in whole brain WM tracts were extracted for each subject and feed into the Least Absolute Shrinkage and Selection Operators procedure (LASSO)-Logistic regression model to identify the impaired WM tracts.. Then, Support Vector Machines (SVM) model was constructed based on the DTI metrics in the impairedWM tracts to make HIV-control group classification. Article Title: White matter correlates of slowed information processing speed in unimpaired multiple sclerosis patients with young age onset. Article Snippet: Slowed information processing speed is among the earliest markers of cognitive impairment in multiple sclerosis (MS) and has been associated with white matter (WM) structural integrity.. Localization of WM tracts associated with slowing, but not significant impairment, on specific cognitive tasks in pediatric and young age onset MS can facilitate early and effective therapeutic intervention.. Diffusion tensor imaging data were collected on 25 MS patients and 24 controls who also underwent the Symbol Digit Modalities Test (SDMT) and the computer-based Cogstate simple and choice reaction time tests. Article Title: The topological organization of white matter network in internet gaming disorder individuals. Article Snippet: White matter (WM) integrity abnormalities had been reported in Internet gaming disorder (IGD).. Diffusion tensor imaging (DTI) tractography allows identification of WM tracts, potentially providing information about the integrity and organization of relevant underlying WM fiber tracts’ architectures, which has been used to investigate the connectivity of cortical and subcortical structures in several brain disorders.. Unfortunately, relatively little is known about the thoroughly circuit-level characterization of topological property changes of WM network with IGD. Article Title: White matter alterations in college football players: a longitudinal diffusion tensor imaging study. Article Snippet: The aim of this study was to evaluate longitudinal changes in the diffusion characteristics of brain white matter (WM) in collegiate athletes at three time points: prior to the start of the football season (T1), after one season of football (T2), followed by six months of no-contact rest (T3).. Fifteen male collegiate football players and 5 male non-athlete student controls underwent diffusion MR imaging and computerized cognitive testing at all three timepoints.Whole-brain tract-based spatial statistics (TBSS) were used to compare fractional anisotropy (FA), radial diffusivity (RD), axial diffusivity (AD), and trace between all timepoints.. Average diffusion values were obtained from statistically significant clusters for each individual. Article Title: White-matter hyperintensities predict delirium after cardiac surgery. Article Snippet: 938 Objectives: Postoperative delirium is a common psychiatric disorder among patients who undergo cardiac surgery.. Although several studies have investigated risk factors for delirium after cardiac surgery, the association between delirium and cerebral white-matter hyperintensities (WMH) on magnetic resonance (MR) imaging has not been previously studied.. The aim of this study was to identify general risk factors for delirium, as well as to examine the specific relationship between WMH and delirium. other:Article Title: Pain-Related White-Matter Changes Following Mild Traumatic Brain Injury: A Longitudinal Diffusion Tensor Imaging Pilot Study. Article Snippet: The classic diffusion tensor imaging (DTI) has been widely used in Article Title: A mesoscale connectome of the mouse brain. Article Snippet: At the macroscale, longrange, region-to-region connections can be inferred from |
![Correlation between <t>diffusion</t> <t>tensor</t> <t>imaging</t> <t>(DTI)</t> parameters and negative symptom (Scale for the Assessment of Negative Symptoms [SANS]) intercepts in the Johns Hopkins Schizophrenia Center dataset. DTI parameters were averaged across all sessions for each participant. (A) Longitudinal progression of symptoms. Empty circles at baseline show participants with no follow-ups. Trendlines show a linear fixed-effect model of parameter against session with random slopes and intercepts fit for every participant. Shaded bands show a 95% CI computed with parametric bootstrapping resampling residuals and random effects 1000 times. Neither parameter significantly varied with session (Scale for the Assessment of Positive Symptoms [SAPS] t 22.9 = −0.43, p = .66) (SANS t 27.3 = −0.92, p = .36). (B, C) Intercept was computed using a first-order linear model for each participant, with the baseline scan as time 0. Relationships with DTI parameters were tested with a linear model with age and sex and covariates. (B) Significant regions of interest are colored according to their t value. Multiple comparisons were corrected with the false discovery rate. (C) Scatter plots showing DTI parameters averaged across the white matter. Shaded bands show 95% CI computed with nonparametric bootstrap paired resampling with 1000 permutations. Mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) significantly increased with session. Fractional anisotropy (FA) did not significantly change. t Values and p values are shown in <xref ref-type=](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_4302/pmc11994302/pmc11994302__gr2.jpg)
Table S10 . " width="250" height="auto" />
Table S9 . FA, fractional anisotropy. " width="100%" height="100%">