Retrospective Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatry. May 19, 2023; 13(5): 203-214
Published online May 19, 2023. doi: 10.5498/wjp.v13.i5.203
Functional near-infrared spectroscopy in elderly patients with four types of dementia
Xi Mei, Chen-Jun Zou, Jun Hu, Xiao-Li Liu, Cheng-Ying Zheng, Dong-Sheng Zhou
Xi Mei, Xiao-Li Liu, Dong-Sheng Zhou, Key Lab, Ningbo Kangning Hospital, Ningbo 315201, Zhejiang Province, China
Chen-Jun Zou, Jun Hu, Cheng-Ying Zheng, Department of Geriatric, Ningbo Kangning Hospital, Ningbo 315201, Zhejiang Province, China
Author contributions: Mei X and Zou CJ performed fNIRS protocols, data collection, and wrote the manuscript; Mei X, Zou CJ, Liu XL, and Hu J performed data analysis; Zheng CY and Zhou DS proofread the manuscript; all authors read and approved the final manuscript.
Supported by the Ningbo Medical and Health Leading Academic Discipline Project, No. 2022-F28; Zhejiang Medical and Health Science and Technology Project, No. 2021KY1066; and Ningbo City Public Welfare Science and Technology Plan Project, No. 2022S025.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of the Ningbo Kangning Hospital.
Informed consent statement: All subjects enrolled in the study signed the written consent and agreed to publish the details of their medical case and any accompanying images.
Conflict-of-interest statement: There are no conflicts of interest to report.
Data sharing statement: All data are included in the manuscript. However, the raw data used and/or analyzed in the present study are available from the corresponding author on reasonable request.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4. 0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Dong-Sheng Zhou, Research Assistant, Key Lab, Ningbo Kangning Hospital, No. 1 Zhuangyu South Road, Ningbo 315201, Zhejiang Province, China. wyzhouds@sina.com
Received: December 7, 2022
Peer-review started: December 7, 2022
First decision: February 20, 2023
Revised: March 2, 2023
Accepted: April 4, 2023
Article in press: April 4, 2023
Published online: May 19, 2023
Processing time: 163 Days and 2.6 Hours
ARTICLE HIGHLIGHTS
Research background

In addition to functional magnetic resonance imaging, electroencephalography, and event-related potentials, functional near-infrared spectroscopy (fNIRS) to examine functional connectivity between regions has become an important supplement to existing functional imaging technologies.

Research motivation

fNIRS technology will be widely used in the detection of neuropsychiatric disorders.

Research objectives

fNIRS could be a potential tool for the diagnosis between dementia subtypes.

Research methods

We tested four types of dementia by using fNIRS in the verbal fluency task, working memory task and resting state task.

Research results

fNIRS examinations were adopted to test the fNIRS paramters. The results shown that different types of dementia have different fNIRS patterns.

Research conclusions

fNIRS can be used as a potential method to diagnose dementia and cognitive decline.

Research perspectives

We want to study whether the fNIRS can be a potential tool for the diagnosis between dementia subtypes.