MR Imaging in Screening, Prediction, and Follow-Up of Neurological Disorders

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neurotechnology and Neuroimaging".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 2224

Special Issue Editors


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Guest Editor
Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran
Interests: quantitative MR imaging; artificial intelligence in medicine; software devel-opment for diagnosis; screening; segmentation; etc.

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Guest Editor Assistant
Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
Interests: ultra-high-field fMRI; automatic detection; presurgical planning; high-resolution fMRI; noise reduction in resting state fMRI

Special Issue Information

Dear Colleagues,

Neurological disorders cover a wide range of diseases, including brain tumors, epilepsy, multiple sclerosis, Parkinson’s disease, Alzheimer’s disease, learning disabilities, autism, cerebral palsy, etc. Despite important achievements in the field of the mentioned disorders, the main mechanisms of most are still unclear. Advances in magnetic resonance neuroimaging enable the development of novel approaches for investigating brain alternation with both structural and functional origins. The informative, meaningful, and descriptive information extracted from magnetic resonance imaging provides valuable knowledge about various neurological disorders, and plays an important role in the prognosis prediction of these disorders, and in early detection, screening, disease monitoring, assessing the treatment effects, managing the treatment, etc. In the present Special Issue entitled “MR Imaging in Screening, Prediction, and Follow-Up of Neurological Disorders” we intend to present an excellent overview of the current advanced methods that improve the quality of diagnosis and treatment in neurological disorders with the aid of magnetic resonance imaging approaches.

Dr. Hamidreza Saligheh Rad
Guest Editor

Dr. Vahid Malekian
Guest Editor Assistant

Manuscript Submission Information

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Keywords

  • neurological disorders
  • neuroimaging
  • functional magnetic resonance imaging
  • diffusion tensor imaging
  • brain connectivity
  • artificial intelligence in neuroimaging

Published Papers (1 paper)

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26 pages, 2922 KiB  
Systematic Review
Brain MRI Biomarkers in Isolated Rapid Eye Movement Sleep Behavior Disorder: Where Are We? A Systematic Review
by Stephan Grimaldi, Maxime Guye, Marta Bianciardi and Alexandre Eusebio
Brain Sci. 2023, 13(10), 1398; https://doi.org/10.3390/brainsci13101398 - 30 Sep 2023
Cited by 5 | Viewed by 1835
Abstract
The increasing number of MRI studies focused on prodromal Parkinson’s Disease (PD) demonstrates a strong interest in identifying early biomarkers capable of monitoring neurodegeneration. In this systematic review, we present the latest information regarding the most promising MRI markers of neurodegeneration in relation [...] Read more.
The increasing number of MRI studies focused on prodromal Parkinson’s Disease (PD) demonstrates a strong interest in identifying early biomarkers capable of monitoring neurodegeneration. In this systematic review, we present the latest information regarding the most promising MRI markers of neurodegeneration in relation to the most specific prodromal symptoms of PD, namely isolated rapid eye movement (REM) sleep behavior disorder (iRBD). We reviewed structural, diffusion, functional, iron-sensitive, neuro-melanin-sensitive MRI, and proton magnetic resonance spectroscopy studies conducted between 2000 and 2023, which yielded a total of 77 relevant papers. Among these markers, iron and neuromelanin emerged as the most robust and promising indicators for early neurodegenerative processes in iRBD. Atrophy was observed in several regions, including the frontal and temporal cortices, limbic cortices, and basal ganglia, suggesting that neurodegenerative processes had been underway for some time. Diffusion and functional MRI produced heterogeneous yet intriguing results. Additionally, reduced glymphatic clearance function was reported. Technological advancements, such as the development of ultra-high field MRI, have enabled the exploration of minute anatomical structures and the detection of previously undetectable anomalies. The race to achieve early detection of neurodegeneration is well underway. Full article
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