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dti analysis revealed

Lastly, resting-state and DTI analysis revealed post-training effects within the occipitotemporal semantic processing region.

The neurocognitive gains of diagnostic reasoning training using simulated interactive veterinary cases

dti analysis revealed

Lastly, resting-state and DTI analysis revealed post-training effects within the occipitotemporal semantic processing region.

The neurocognitive gains of diagnostic reasoning training using simulated interactive veterinary cases

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10.1038/s41598-019-56404-z

Lastly, resting-state and DTI analysis revealed post-training effects within the occipitotemporal semantic processing region.

The neurocognitive gains of diagnostic reasoning training using simulated interactive veterinary cases

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10.1186/s12968-019-0563-2

CMR DTI analysis was performed to yield the scalar diffusion metrics mean diffusivity (MD) and fractional anisotropy (FA) as well as the characteristics of myofiber orientation including helix, transverse and E2A sheet angle (HA, TA, E2A).

Characterizing cardiac involvement in amyloidosis using cardiovascular magnetic resonance diffusion tensor imaging

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10.1080/15622975.2019.1619287

DTI analysis also revealed reduced white matter integrity in several brain regions of patients.

Editorial

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10.1101/751628

Furthermore, DTI analysis identified differences in superior longitudinal fasciculus that are not reflected in fiber density or cross-section and may instead be due to differences in crossing fiber geometry.

Age-related differences in white matter: Comparing fixel based and tensor based analyses

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10.3389/fmed.2018.00357

However, obstacles to its widespread use involve the need for consistent DTI analysis and interpretation tools across collaborator sites.

DTI Profiles for Rapid Description of Cohorts at the Clinical-Research Interface

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10.1186/s10194-019-1045-5

We utilized a spatially unbiased infratentorial template toolbox (SUIT) to perform cerebellum and brainstem optimized VBM and DTI analysis.

Structural changes of cerebellum and brainstem in migraine without aura

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10.1007/s10334-019-00743-5

Materials and methodsMotion-corrected DTI analysis was performed on data sets obtained at 1.

White and grey matter development in utero assessed using motion-corrected diffusion tensor imaging and its comparison to ex utero measures

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10.3760/CMA.J.ISSN.1001-2346.2019.02.015

DTI analysis showed that there were 32 abnormal FA areas in SWI abnormal group and 7 in SWI normal group.

The roles of diffusion tensor imaging and serum biochemical indexes in the evaluation of acute mild traumatic brain injury

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10.3171/2019.3.JNS181864

CONCLUSIONS Baseline premorbid DTI data for individual DTI analysis provides increased statistical sensitivity.

Increased sensitivity to traumatic axonal injury on postconcussion diffusion tensor imaging scans in National Football League players by using premorbid baseline scans.

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10.1080/02699052.2019.1641744

The patient’s DTI analysis generated decreases in fractional anisotropy (FA) values in the anterior corpus callosum, bilateral internal capsule, and hippocampus.

Case report: neuroimaging analysis of pediatric ADHD-related symptoms secondary to hypoxic brain injury

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10.21037/qims.2019.02.08

Therefore, this study would like to examine the effect of segmentation based on different diffusive metric maps for DTI analysis of the cervical spinal cord.

Effect of segmentation from different diffusive metric maps on diffusion tensor imaging analysis of the cervical spinal cord.

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10.1016/j.jalz.2019.06.877

In DTI analysis of white matter, the FA and MD values of 19 regions of interest were measured by ROI method.

APPLICATION OF GROOVED PEGBOARD TEST IN CEREBROSPINAL FLUID TAP TEST OF PATIENTS WITH IDIOPATHIC NORMAL PRESSURE HYDROCEPHALUS

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10.3389/fneur.2019.00877

pre-therapy DTI analysis.

Pre- and Post-therapy Assessment of Clinical Outcomes and White Matter Integrity in Autism Spectrum Disorder: Pilot Study

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10.3171/2019.4.JNS19299

CONCLUSIONS Noninvasive DTI analysis of patients with TN may lead to improved diagnosis of TN subtypes (e.

Diffusion tensor imaging reveals microstructural differences between subtypes of trigeminal neuralgia.

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10.1097/SCS.0000000000005288

The DTI analysis demonstrated an increase in fractional anisotropy of the cingulum in the SMc group, a white matter tract projecting from the cingulate cortex; connections of the limbic (emotional regulation) system are instrumental.

What is the Functional Difference Between Sagittal With Metopic and Isolated Sagittal Craniosynotosis?

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10.1016/j.jneumeth.2018.12.019

NEW METHOD We identify a MRI-suitable marker for tracking the exact site of either nerve injury or coaptation following surgical repair to aid with DTI analysis.

Evaluation of select biocompatible markers for labelling peripheral nerves on 11.7 T MRI

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10.1007/s00213-019-05298-w

DTI analysis indicated extensive decreases in fractional anisotropy, with parallel increases in radial diffusivity, in the SIP group compared to the SZ-dependent group.

A comparison of regional brain volumes and white matter connectivity in subjects with stimulant induced psychosis versus schizophrenia

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10.1002/nbm.4114

This finding indicates that AI methods are feasible and effective for DTI analysis for the prognosis of CM.

Prognosis of cervical myelopathy based on diffusion tensor imaging with artificial intelligence methods

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10.1101/650499

Lastly, resting-state and DTI analysis revealed post-training effects within the occipitotemporal semantic processing region.

The neurocognitive gains of diagnostic reasoning training using simulated interactive veterinary cases

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Dti Analysis - Lastly, resting-state and DTI analysis revealed post-training effects within the occipitotemporal semantic processing region. [1] CMR DTI analysis was performed to yield the scalar diffusion metrics mean diffusivity (MD) and fractional anisotropy (FA) as well as the characteristics of myofiber orientation including helix, transverse and E2A sheet angle (HA, TA, E2A). [2] DTI analysis also revealed reduced white matter integrity in several brain regions of patients. [3] Furthermore, DTI analysis identified differences in superior longitudinal fasciculus that are not reflected in fiber density or cross-section and may instead be due to differences in crossing fiber geometry. [4] However, obstacles to its widespread use involve the need for consistent DTI analysis and interpretation tools across collaborator sites. [5] We utilized a spatially unbiased infratentorial template toolbox (SUIT) to perform cerebellum and brainstem optimized VBM and DTI analysis. [6] Materials and methodsMotion-corrected DTI analysis was performed on data sets obtained at 1. [7] DTI analysis showed that there were 32 abnormal FA areas in SWI abnormal group and 7 in SWI normal group. [8] CONCLUSIONS Baseline premorbid DTI data for individual DTI analysis provides increased statistical sensitivity. [9] The patient’s DTI analysis generated decreases in fractional anisotropy (FA) values in the anterior corpus callosum, bilateral internal capsule, and hippocampus. [10] Therefore, this study would like to examine the effect of segmentation based on different diffusive metric maps for DTI analysis of the cervical spinal cord. [11] In DTI analysis of white matter, the FA and MD values of 19 regions of interest were measured by ROI method. [12] pre-therapy DTI analysis. [13] CONCLUSIONS Noninvasive DTI analysis of patients with TN may lead to improved diagnosis of TN subtypes (e. [14] The DTI analysis demonstrated an increase in fractional anisotropy of the cingulum in the SMc group, a white matter tract projecting from the cingulate cortex; connections of the limbic (emotional regulation) system are instrumental. [15] NEW METHOD We identify a MRI-suitable marker for tracking the exact site of either nerve injury or coaptation following surgical repair to aid with DTI analysis. [16] DTI analysis indicated extensive decreases in fractional anisotropy, with parallel increases in radial diffusivity, in the SIP group compared to the SZ-dependent group. [17] This finding indicates that AI methods are feasible and effective for DTI analysis for the prognosis of CM. [18] Lastly, resting-state and DTI analysis revealed post-training effects within the occipitotemporal semantic processing region. [19]

dti analysis revealed

Lastly, resting-state and DTI analysis revealed post-training effects within the occipitotemporal semantic processing region. [1] Lastly, resting-state and DTI analysis revealed post-training effects within the occipitotemporal semantic processing region. [2]