PMID- 36824266
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230226
IS  - 1663-4365 (Print)
IS  - 1663-4365 (Electronic)
IS  - 1663-4365 (Linking)
VI  - 15
DP  - 2023
TI  - Prediction of STN-DBS for Parkinson's disease by uric acid-related brain function 
      connectivity: A machine learning study based on resting state function MRI.
PG  - 1105107
LID - 10.3389/fnagi.2023.1105107 [doi]
LID - 1105107
AB  - INTRODUCTION: Parkinson's disease (PD) is a neurodegenerative disorder 
      characterized by dyskinesia and is closely related to oxidative stress. Uric acid 
      (UA) is a natural antioxidant found in the body. Previous studies have shown that 
      UA has played an important role in the development and development of PD and is 
      an important biomarker. Subthalamic nucleus deep brain stimulation (STN-DBS) is a 
      common treatment for PD. METHODS: Based on resting state function MRI (rs-fMRI), 
      the relationship between UA-related brain function connectivity (FC) and STN-DBS 
      outcomes in PD patients was studied. We use UA and DC values from different brain 
      regions to build the FC characteristics and then use the SVR model to predict the 
      outcome of the operation. RESULTS: The results show that PD patients with 
      UA-related FCs are closely related to STN-DBS efficacy and can be used to predict 
      prognosis. A machine learning model based on UA-related FC was successfully 
      developed for PD patients. DISCUSSION: The two biomarkers, UA and rs-fMRI, were 
      combined to predict the prognosis of STN-DBS in treating PD. Neurosurgeons are 
      provided with effective tools to screen the best candidate and predict the 
      prognosis of the patient.
CI  - Copyright (c) 2023 Chang, Xiong, Ni, Chen, Jiang, Mei and Niu.
FAU - Chang, Bowen
AU  - Chang B
AD  - Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of 
      Life Sciences and Medicine, University of Science and Technology of China, Hefei, 
      Anhui, China.
AD  - Anhui Province Key Laboratory of Brain Function and Brain Disease, Hefei, Anhui, 
      China.
FAU - Xiong, Chi
AU  - Xiong C
AD  - Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of 
      Life Sciences and Medicine, University of Science and Technology of China, Hefei, 
      Anhui, China.
AD  - Anhui Province Key Laboratory of Brain Function and Brain Disease, Hefei, Anhui, 
      China.
FAU - Ni, Chen
AU  - Ni C
AD  - Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of 
      Life Sciences and Medicine, University of Science and Technology of China, Hefei, 
      Anhui, China.
AD  - Anhui Province Key Laboratory of Brain Function and Brain Disease, Hefei, Anhui, 
      China.
FAU - Chen, Peng
AU  - Chen P
AD  - Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of 
      Life Sciences and Medicine, University of Science and Technology of China, Hefei, 
      Anhui, China.
AD  - Anhui Province Key Laboratory of Brain Function and Brain Disease, Hefei, Anhui, 
      China.
FAU - Jiang, Manli
AU  - Jiang M
AD  - Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of 
      Life Sciences and Medicine, University of Science and Technology of China, Hefei, 
      Anhui, China.
AD  - Anhui Province Key Laboratory of Brain Function and Brain Disease, Hefei, Anhui, 
      China.
FAU - Mei, Jiaming
AU  - Mei J
AD  - Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of 
      Life Sciences and Medicine, University of Science and Technology of China, Hefei, 
      Anhui, China.
AD  - Anhui Province Key Laboratory of Brain Function and Brain Disease, Hefei, Anhui, 
      China.
FAU - Niu, Chaoshi
AU  - Niu C
AD  - Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of 
      Life Sciences and Medicine, University of Science and Technology of China, Hefei, 
      Anhui, China.
AD  - Anhui Province Key Laboratory of Brain Function and Brain Disease, Hefei, Anhui, 
      China.
LA  - eng
PT  - Journal Article
DEP - 20230207
PL  - Switzerland
TA  - Front Aging Neurosci
JT  - Frontiers in aging neuroscience
JID - 101525824
PMC - PMC9941535
OTO - NOTNLM
OT  - Parkinson's disease
OT  - deep brain stimulation
OT  - functional connectivity
OT  - machine learning
OT  - uric acid
COIS- The authors declare that the research was conducted in the absence of any 
      commercial or financial relationships that could be construed as a potential 
      conflict of interest.
EDAT- 2023/02/25 06:00
MHDA- 2023/02/25 06:01
PMCR- 2023/01/01
CRDT- 2023/02/24 02:34
PHST- 2022/11/22 00:00 [received]
PHST- 2023/01/20 00:00 [accepted]
PHST- 2023/02/24 02:34 [entrez]
PHST- 2023/02/25 06:00 [pubmed]
PHST- 2023/02/25 06:01 [medline]
PHST- 2023/01/01 00:00 [pmc-release]
AID - 10.3389/fnagi.2023.1105107 [doi]
PST - epublish
SO  - Front Aging Neurosci. 2023 Feb 7;15:1105107. doi: 10.3389/fnagi.2023.1105107. 
      eCollection 2023.