Literature DB >> 30473197

Neuroimaging Applications in Restless Legs Syndrome.

Giovanni Rizzo1, Giuseppe Plazzi2.   

Abstract

Neuroimaging studies provide information useful to understand the pathophysiology of restless legs syndrome. Molecular PET and SPECT imaging findings mainly supported dysfunction of dopaminergic pathways involving not only the nigrostriatal but also mesolimbic pathways. Magnetic resonance imaging (MRI) studies have used different techniques. Studies using iron-sensitive sequences supported the presence of a regionally variable low brain iron content, mainly at the level of substantia nigra and thalamus. The search for brain structural or microstructural abnormalities by voxel-based morphometry, diffusion tensor imaging or cortical thickness analysis has reported none or variable findings in restless legs syndrome patients, most of them in regions belonging to sensorimotor and limbic/nociceptive networks. Functional MRI studies have substantially demonstrated activation or connectivity changes in the same networks. Magnetic resonance spectroscopy studies showed metabolic changes in the thalamus, which is a hub of these networks. In summary, neuroimaging findings in restless legs syndrome support the presence of reduction of brain iron content, of dysfunction of mesolimbic and nigrostriatal dopaminergic pathways, and of abnormalities at level of limbic/nociceptive and sensorimotor networks.
© 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Connectivity; Functional; Imaging; MRI; Network; PET; Pathophysiology; Restless legs syndrome; SPECT; Structural

Mesh:

Year:  2018        PMID: 30473197     DOI: 10.1016/bs.irn.2018.09.012

Source DB:  PubMed          Journal:  Int Rev Neurobiol        ISSN: 0074-7742            Impact factor:   3.230


  6 in total

1.  Advanced network neuroimaging as an approach to unravel the pathophysiology of restless legs syndrome.

Authors:  Jan Kassubek
Journal:  Sleep       Date:  2022-07-11       Impact factor: 6.313

2.  Differential functional connectivity in thalamic and dopaminergic pathways in restless legs syndrome: a meta-analysis.

Authors:  Thomas Derya Kocar; Hans-Peter Müller; Jan Kassubek
Journal:  Ther Adv Neurol Disord       Date:  2020-08-03       Impact factor: 6.570

3.  Revisiting brain iron deficiency in restless legs syndrome using magnetic resonance imaging.

Authors:  Vincent Beliveau; Ambra Stefani; Christoph Birkl; Christian Kremser; Elke R Gizewski; Birgit Högl; Christoph Scherfler
Journal:  Neuroimage Clin       Date:  2022-04-26       Impact factor: 4.891

4.  Phenotypical predictors of pregnancy-related restless legs syndrome and their association with basal ganglia and the limbic circuits.

Authors:  Natalia Chechko; Jeremy Lefort-Besnard; Tamme W Goecke; Markus Frensch; Patricia Schnakenberg; Susanne Stickel; Danilo Bzdok
Journal:  Sci Rep       Date:  2021-05-11       Impact factor: 4.379

5.  Iron Deposition Characteristics of Deep Gray Matter in Elderly Individuals in the Community Revealed by Quantitative Susceptibility Mapping and Multiple Factor Analysis.

Authors:  Jing Li; Qihao Zhang; Yena Che; Nan Zhang; Lingfei Guo
Journal:  Front Aging Neurosci       Date:  2021-04-14       Impact factor: 5.750

6.  Evaluation of Brain SPECT with 99mTc-TRODAT-1 in the Differential Diagnosis of Parkinsonism.

Authors:  Giorgio Fabiani; Carlos Henrique Ferreira Camargo; Raul Martins Filho; Gabriel Sampaio Froehner; Hélio Afonso Ghizoni Teive
Journal:  Parkinsons Dis       Date:  2022-03-08
  6 in total

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