PMID- 36649989
OWN - NLM
STAT- MEDLINE
DCOM- 20230119
LR  - 20230119
IS  - 0376-2491 (Print)
IS  - 0376-2491 (Linking)
VI  - 103
IP  - 3
DP  - 2023 Jan 17
TI  - [Construction and analysis of functional network of hemi-brain in patients with 
      brain tumors before and after anesthesia based on resting-state functional 
      magnetic resonance imaging].
PG  - 186-191
LID - 10.3760/cma.j.cn112137-20220519-01112 [doi]
AB  - Objective: To construct and analyze the functional network changes of hemi-brain 
      in patients with brain tumor before and after anesthesia by using resting state 
      functional magnetic resonance imaging (rs-fMRI). Methods: A total of 18 
      right-handed patients were prospectively included (6 males and 12 females). The 
      patients underwent glioma resection in Peking University International Hospital 
      from December 2018 to December 2021, and age ranged from 20 to 65 (45.1+/-13.6) 
      years, with American Society of Anesthesiologists (ASA) grade of Ⅰ-Ⅱ. MRI scans 
      were performed while the patient was awake and at the depth of surgical 
      anesthesia. The functional network of healthy lateral brain was constructed and 
      analyzed by means of graph theory, and its global and local topological 
      properties were calculated. Global topology attributes included global efficiency 
      (Eg), local efficiency (Eloc), clustering parameters (Cp), length parameter of 
      shortest path (Lp), and small world (SW). Topology attributes of nodes included 
      node degree (ND), node efficiency (NE) and between centrality (BC). The global 
      and nodal topological properties of the hemi-brain network were compared between 
      patients with different hemispherical space occupying under wakefulness and 
      anesthesia. Results: At the awake state, Eloc and Cp in the global topological 
      attributes of hemi-brain network were 0.259+/-0.007 and 0.197+/-0.010, respectively, 
      and decreased to 0.242+/-0.013 and 0.177+/-0.021, respectively after anesthesia, with 
      statistically significant differences (all P<0.01). The topological attributes of 
      the nodes in hemi-side brain showed that ND, NE and BC were increased in the 
      default mode network-related brain regions, while NE and BC were decreased in the 
      limbic system and subcortical structures. Eloc and Cp were 0.258+/-0.008 and 
      0.198+/-0.008 respectively in the patients with left hemisphere space occupying, 
      and decreased to 0.241+/-0.011 and 0.177+/-0.015 respectively after anesthesia, with 
      statistically significant differences (all P<0.01). However, only Eloc decreased 
      in patients with right hemisphere space occupying after anesthesia, and Eloc was 
      0.260+/-0.006 and 0.243+/-0.016 respectively when awake and after anesthesia, with 
      statistically significant differences (P<0.05). The topological attributes of 
      nodes in patients with space occupying in different cerebral hemispheres showed 
      bidirectional changes after anesthesia, and patients with space occupying in the 
      left cerebral hemisphere were more likely to be widely affected after anesthesia. 
      The effects of anesthetic drugs may show hemispheric laterality. If the tumor was 
      in the dominant hemisphere, the compensatory function of the dominant side was 
      more likely to be damaged. Conclusions: During anesthesia-induced loss of 
      consciousness in patients with brain tumors, both the ability to integrate 
      information and the functional connections between local regions are weakened, 
      and some brain regions have functional connection reorganization. The changes of 
      brain network after anesthesia are bidirectional regulation.
FAU - Cui, J
AU  - Cui J
AD  - Department of Anesthesiology, Peking University International Hospital, Beijing 
      102206, China.
FAU - Yao, L
AU  - Yao L
AD  - Department of Anesthesiology, Peking University International Hospital, Beijing 
      102206, China.
FAU - Wang, S P
AU  - Wang SP
AD  - Research Centre for Brain-Inspired Intelligence, Institute of Automation, Chinese 
      Academy of Sciences, Beijing 100190, China.
FAU - Li, L X
AU  - Li LX
AD  - Department of Anesthesiology, Peking University International Hospital, Beijing 
      102206, China.
FAU - Zhao, Y L
AU  - Zhao YL
AD  - Department of Neurosurgery, Peking University International Hospital, Beijing 
      102206, China.
FAU - He, H G
AU  - He HG
AD  - Research Centre for Brain-Inspired Intelligence, Institute of Automation, Chinese 
      Academy of Sciences, Beijing 100190, China.
FAU - Lu, C Y
AU  - Lu CY
AD  - Department of Neurosurgery, Peking University International Hospital, Beijing 
      102206, China.
FAU - Xu, Z S
AU  - Xu ZS
AD  - Department of Neurosurgery, Peking University International Hospital, Beijing 
      102206, China.
LA  - chi
GR  - YN2018ZD01/Scientific Research Foundation of Peking University International 
      Hospital/
GR  - 320.6750.18318/Special Foundation for Clinical Research of Wu Jieping Medical 
      Foundation/
PT  - English Abstract
PT  - Journal Article
PL  - China
TA  - Zhonghua Yi Xue Za Zhi
JT  - Zhonghua yi xue za zhi
JID - 7511141
SB  - IM
MH  - Male
MH  - Female
MH  - Humans
MH  - Young Adult
MH  - Adult
MH  - Middle Aged
MH  - Aged
MH  - Brain Mapping/methods
MH  - Brain
MH  - Magnetic Resonance Imaging/methods
MH  - *Brain Neoplasms
MH  - *Anesthesia
EDAT- 2023/01/18 06:00
MHDA- 2023/01/20 06:00
CRDT- 2023/01/17 21:01
PHST- 2023/01/17 21:01 [entrez]
PHST- 2023/01/18 06:00 [pubmed]
PHST- 2023/01/20 06:00 [medline]
AID - 10.3760/cma.j.cn112137-20220519-01112 [doi]
PST - ppublish
SO  - Zhonghua Yi Xue Za Zhi. 2023 Jan 17;103(3):186-191. doi: 
      10.3760/cma.j.cn112137-20220519-01112.