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Neuroimaging in Parkinson's Disease

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: closed (20 January 2022) | Viewed by 1717

Special Issue Editor


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Guest Editor
Psychology, Samford University, Birmingham, AL 35229, USA
Interests: neuroimaging; parkinson's disease; exercise; cognition; sleep

Special Issue Information

Dear Colleagues,

Neuroimaging is a powerful noninvasive tool that provides in vivo evaluation of pathophysiological substrates unique to Parkinson’s disease (PD), which is a critical step toward identifying potential biomarkers in PD.

Promising applications of neuroimaging continue to elucidate factors specific to PD. Dopamine transporter single-photon emission computed tomography (SPECT) may improve the accuracy of diagnosis if the presence of parkinsonism is uncertain. Magnetic resonance imaging (MRI) and functional MRI (fMRI) studies have shown brain structures and function to be preserved in the early stages of PD and have helped to identify areas that become affected in the advanced stages of PD. Therefore, further studies are needed to describe the longitudinal course of structural and functional change among persons with PD.

One neuroimaging approach increasingly being applied to investigate normal brain function and impairment is network connectivity. Using magnetic resonance spectroscopy (MRS), the convergence of evidence suggests mitochondrial dysfunction is a component in the pathogenesis of PD. Additionally, employing MRS or diffusion-weighted imaging (DWI) to examine brain temperature has revealed pathophysiological relationships between brain temperature and systemic inflammation in PD. Finally, the recent application of diffusion tensor image analysis along the perivascular space (DTI-ALPS) provides an opportunity to examine the glymphatic system and its relationship with systemic oxidative stress as another approach to investigate neuroinflammation in PD.

Despite these innovative applications of neuroimaging techniques, there is currently no clinically accepted neurophysiological biomarker of differential diagnosis, disease severity, predicted disease progression, or treatment monitoring in PD. Moreover, there are multiple disease variants of PD with different prognoses. 

The aim of this Special Issue is to provide a comprehensive assessment of innovative applications of neuroimaging techniques in PD.

Dr. Kimberly H. Wood
Guest Editor

Manuscript Submission Information

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Keywords

  • thermometry
  • DWI
  • DTI-ALPS
  • MRS
  • PET
  • SPECT
  • MRI
  • fMRI
  • connectivity
  • atrophy

Published Papers (1 paper)

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Research

18 pages, 3011 KiB  
Article
Connectivity Alterations in Vascular Parkinsonism: A Structural Covariance Study
by Fabiana Novellino, Maria Salsone, Roberta Riccelli, Carmelina Chiriaco, Giuseppe Argirò, Andrea Quattrone, José L. M. Madrigal, Luigi Ferini Strambi and Aldo Quattrone
Appl. Sci. 2022, 12(14), 7240; https://doi.org/10.3390/app12147240 - 18 Jul 2022
Cited by 2 | Viewed by 1334
Abstract
This study aimed to investigate the structural covariance between the striatum and large-scale brain regions in patients with vascular parkinsonism (VP) compared to Parkinson’s disease (PD) and control subjects, and then explore the relationship between brain connectivity and the clinical features of our [...] Read more.
This study aimed to investigate the structural covariance between the striatum and large-scale brain regions in patients with vascular parkinsonism (VP) compared to Parkinson’s disease (PD) and control subjects, and then explore the relationship between brain connectivity and the clinical features of our patients. Forty subjects (13 VP, 15 PD, and 12 age-and-sex-matched healthy controls) were enrolled in this study. They each underwent a careful clinical and neuropsychological evaluation, DAT-SPECT scintigraphy and 3T MRI scan. While there were no differences between PD and VP in the disease duration and severity, nor in terms of the DAT-SPECT evaluations, VP patients had a reduction in structural covariance between the bilateral corpus striatum (both putamen and caudate) and several brain regions, including the insula, thalamus, hippocampus, anterior cingulate cortex and orbito-frontal cortex compared to PD and controls. VP patients also showed lower scores on several neuropsychological tests. Interestingly, in the VP group, structural connectivity alterations were significantly related to cognitive evaluations exploring executive functions, memory, anxiety and depression. This compelling evidence suggests that structural disconnection in the basal ganglia circuits spreading in critical cortical regions may be involved in the pathophysiology of cognitive impairment in VP. Full article
(This article belongs to the Special Issue Neuroimaging in Parkinson's Disease)
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