DTI detects water diffusion abnormalities in the thalamus that correlate with an extremity pain episode in a patient with multiple sclerosis-Reference-Cited by-同舟云学术

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DTI detects water diffusion abnormalities in the thalamus that correlate with an extremity pain episode in a patient with multiple sclerosis

Published:2013 Issue: Volume:2 Page:258-262
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Deppe Michael,Müller Dirk,Kugel Harald,Ruck Tobias,Wiendl Heinz,Meuth Sven G.

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging

Reference33 articles.

1. Transient lesion in the splenium related to antiepileptic drug: case report and new pathophysiological insights;Anneken;Seizure,2008

2. FLAIR imaging for multiple sclerosis: a comparative MR study at 1.5 and 3.0 Tesla;Bachmann;European Radiology,2006

3. Basal ganglia, thalamus and neocortical atrophy predicting slowed cognitive processing in multiple sclerosis;Batista;Journal of Neurology,2012

4. The predictive value of gray matter atrophy in clinically isolated syndromes;Calabrese;Neurology,2011

5. The topographical distribution of tissue injury in benign MS: a 3T multiparametric MRI study;Ceccarelli;NeuroImage,2008

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1. Changes in diffusion tensor imaging indices in basal ganglia and thalamus of patients with Relapsing-Remitting Multiple Sclerosis and relation with clinical conditions: A case-control study;European Journal of Radiology Open;2023

2. Diffusion-Weighted Imaging;Use R!;2023

3. Coupling cognitive and brainstem dysfunction in multiple sclerosis-related chronic neuropathic limb pain;Brain Communications;2022-05-02

4. Combining Regional and Connectivity Metrics of Functional Magnetic Resonance Imaging and Diffusion Tensor Imaging for Individualized Prediction of Pain Sensitivity;Frontiers in Molecular Neuroscience;2022-03-15

5. Impairments of white matter tracts and connectivity alterations in five cognitive networks of patients with multiple sclerosis;Clinical Neurology and Neurosurgery;2021-02

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