Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.0
4.2
Journals
Biology
Special Issues
PET/MRI Brain Image Processing and Analysis: Alzheimer’s Disease, Parkinson’s Disease
share announcement

PET/MRI Brain Image Processing and Analysis: Alzheimer’s Disease, Parkinson’s Disease

A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Neuroscience".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 1763

Special Issue Editor

Dr. Jiehui Jiang

E-Mail Website
Guest Editor
Institute of Biomedical Engineering, School of Life Science, Shanghai University, Shanghai 200444, China
Interests: Alzheimer's disease; Parkinson's diseas; dementia; neurodegenerative disorders; medical imaging processing; biomedical engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Alzheimer's disease (AD) and Parkinson's disease (PD) are typical neurodegenerative diseases that are rapidly rising in prevalence and placing a heavy burden on society and families. They are characterized by the progressive degeneration of the structure and function of the central nervous system or peripheral nervous system. However, the pathogenesis of AD and PD is still unclear. The development of positron emission computed tomography (PET) and magnetic resonance imaging (MRI) allows us to explore the disease process from micro and macro perspectives. There is an urgent need to develop new and more effective processing and analysis methods to better understand these diseases.

This Special Issue aims to invite authors to explore new methods, tools, and findings based on PET or MRI, including bioinformatics analysis, artificial intelligence methods, and molecular imaging techniques. Studies exploring new types of methodologies, analyses, or computational models are welcome. Studies related to new imaging biomarkers of early diagnosis, the evaluation of treatment effect, and the surveillance of disease progression are also encouraged.

In this Special Issue, original research articles and reviews are welcome.

I look forward to receiving your contributions.

Dr. Jiehui Jiang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biology is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Alzheimer's disease
  • Parkinson's disease
  • dementia
  • neurodegenerative disorders
  • positron emission computed tomography
  • magnetic resonance imaging
  • imaging methods

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

14 pages, 4729 KiB  
Article
Individual Proportion Loss of Functional Connectivity Strength: A Novel Individual Functional Connectivity Biomarker for Subjective Cognitive Decline Populations
by Zhuoyuan Li, Hua Lin, Qi Zhang, Rong Shi, Huanyu Xu, Fan Yang, Xueyan Jiang, Luyao Wang, Ying Han and Jiehui Jiang
Biology 2023, 12(4), 564; https://doi.org/10.3390/biology12040564 - 07 Apr 2023
Viewed by 1301
Abstract
High individual variation in the subjective cognitive decline (SCD) population makes functional connectivity (FC) biomarkers unstable. This study proposed a novel individual FC index, named individual proportion loss of functional connectivity strength (IPLFCS), and explored potential biomarkers for SCD using this new index. [...] Read more.
High individual variation in the subjective cognitive decline (SCD) population makes functional connectivity (FC) biomarkers unstable. This study proposed a novel individual FC index, named individual proportion loss of functional connectivity strength (IPLFCS), and explored potential biomarkers for SCD using this new index. We proposed an IPLFCS analysis framework and compared it with traditional FC in Chinese and Western cohorts. Post hoc tests were used to determine biomarkers. Pearson’s correlation analysis was used to investigate the correlation between neuropsychological scores or cortical amyloid deposits and IPLFCS biomarkers. Receiver operating characteristic curves were utilized to evaluate the ability of potential biomarkers to distinguish between groups. IPLFCS of the left middle temporal gyrus (LMTG) was identified as a potential biomarker. The IPLFC was correlated with the traditional FC (r = 0.956, p < 0.001; r = 0.946, p < 0.001) and cortical amyloid deposition (r = −0.245, p = 0.029; r = −0.185, p = 0.048) in both cohorts. Furthermore, the IPLFCS decreased across the Alzheimer’s disease (AD) continuum. Its diagnostic efficiency was superior to that of existing fMRI biomarkers. These findings suggest that IPLFCS of the LMTG could be a potential biomarker of SCD. Full article
(This article belongs to the Special Issue PET/MRI Brain Image Processing and Analysis: Alzheimer’s Disease, Parkinson’s Disease)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop