Literature DB >> 33384293

Glioma-Induced Disruption of Resting-State Functional Connectivity and Amplitude of Low-Frequency Fluctuations in the Salience Network.

J Yang1,2, S Gohel3, Z Zhang4, V Hatzoglou1,5,6, A I Holodny1,5,6,7, B A Vachha8,5,6.   

Abstract

BACKGROUND AND
PURPOSE: Cognitive challenges are prevalent in survivors of glioma, but their neurobiology is incompletely understood. The purpose of this study was to investigate the effect of glioma presence and tumor characteristics on resting-state functional connectivity and amplitude of low-frequency fluctuations of the salience network, a key neural network associated with cognition.
MATERIALS AND METHODS: Sixty-nine patients with glioma (mean age, 48.74 [SD, 14.32] years) who underwent resting-state fMRI were compared with 31 healthy controls (mean age, 49.68 [SD, 15.54] years). We identified 4 salience network ROIs: left/right dorsal anterior cingulate cortex and left/right anterior insula. Average salience network resting-state functional connectivity and amplitude of low-frequency fluctuations within the 4 salience network ROIs were computed.
RESULTS: Patients with gliomas showed decreased overall salience network resting-state functional connectivity (P = .001) and increased amplitude of low-frequency fluctuations in all salience network ROIs (P < .01) except in the left dorsal anterior cingulate cortex. Compared with controls, patients with left-sided gliomas showed increased amplitude of low-frequency fluctuations in the right dorsal anterior cingulate cortex (P = .002) and right anterior insula (P < .001), and patients with right-sided gliomas showed increased amplitude of low-frequency fluctuations in the left anterior insula (P = .002). Anterior tumors were associated with decreased salience network resting-state functional connectivity (P < .001) and increased amplitude of low-frequency fluctuations in the right anterior insula, left anterior insula, and right dorsal anterior cingulate cortex. Patients with high-grade gliomas had decreased salience network resting-state functional connectivity compared with healthy controls (P < .05). The right anterior insula showed increased amplitude of low-frequency fluctuations in patients with grade II and IV gliomas compared with controls (P < .01).
CONCLUSIONS: By demonstrating decreased resting-state functional connectivity and an increased amplitude of low-frequency fluctuations related to the salience network in patients with glioma, this study adds to our understanding of the neurobiology underpinning observable cognitive deficits in these patients. In addition to more conventional functional connectivity, amplitude of low-frequency fluctuations is a promising functional-imaging biomarker of tumor-induced vascular and neural pathology.
© 2021 by American Journal of Neuroradiology.

Entities:  

Mesh:

Year:  2020        PMID: 33384293      PMCID: PMC7959416          DOI: 10.3174/ajnr.A6929

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  44 in total

1.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

2.  Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field.

Authors:  Shruti Agarwal; Haris I Sair; Raag Airan; Jun Hua; Craig K Jones; Hye-Young Heo; Alessandro Olivi; Martin A Lindquist; James J Pekar; Jay J Pillai
Journal:  Brain Connect       Date:  2016-02-26

3.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages.

Authors:  R W Cox
Journal:  Comput Biomed Res       Date:  1996-06

Review 4.  Salience processing and insular cortical function and dysfunction.

Authors:  Lucina Q Uddin
Journal:  Nat Rev Neurosci       Date:  2014-11-19       Impact factor: 34.870

5.  Potential Intra- or Cross-Network Functional Reorganization of the Triple Unifying Networks in Patients with Frontal Glioma.

Authors:  Dongming Liu; Xinhua Hu; Yong Liu; Kun Yang; Chaoyong Xiao; Jun Hu; Zonghong Li; Yuanjie Zou; Jiu Chen; Hongyi Liu
Journal:  World Neurosurg       Date:  2019-05-08       Impact factor: 2.104

6.  Value of Frequency Domain Resting-State Functional Magnetic Resonance Imaging Metrics Amplitude of Low-Frequency Fluctuation and Fractional Amplitude of Low-Frequency Fluctuation in the Assessment of Brain Tumor-Induced Neurovascular Uncoupling.

Authors:  Shruti Agarwal; Hanzhang Lu; Jay J Pillai
Journal:  Brain Connect       Date:  2017-08

7.  Altered functional connectivity of the default mode network in diffuse gliomas measured with pseudo-resting state fMRI.

Authors:  Robert J Harris; Susan Y Bookheimer; Timothy F Cloughesy; Hyun J Kim; Whitney B Pope; Albert Lai; Phioanh L Nghiemphu; Linda M Liau; Benjamin M Ellingson
Journal:  J Neurooncol       Date:  2014-01       Impact factor: 4.130

8.  Alteration of the Intra- and Cross- Hemisphere Posterior Default Mode Network in Frontal Lobe Glioma Patients.

Authors:  Haosu Zhang; Yonghong Shi; Chengjun Yao; Weijun Tang; Demin Yao; Chenxi Zhang; Manning Wang; Jinsong Wu; Zhijian Song
Journal:  Sci Rep       Date:  2016-06-01       Impact factor: 4.379

9.  Brain tumors disrupt the resting-state connectome.

Authors:  Darian H Hadjiabadi; Leland Pung; Jiangyang Zhang; B D Ward; Woo-Taek Lim; Meghana Kalavar; Nitish V Thakor; Bharat B Biswal; Arvind P Pathak
Journal:  Neuroimage Clin       Date:  2018-02-28       Impact factor: 4.881

10.  Monitoring and optimising cognitive function in cancer patients: Present knowledge and future directions.

Authors:  S B Schagen; M Klein; J C Reijneveld; E Brain; S Deprez; F Joly; A Scherwath; W Schrauwen; J S Wefel
Journal:  EJC Suppl       Date:  2014-05-29
View more
  4 in total

1.  Altered regional homogeneity in patients with ovarian cancer treated with chemotherapy: a resting state fMRI study.

Authors:  Behroze A Vachha; Suril Gohel; James C Root; Maria Kryza-Lacombe; Martee L Hensley; Denise D Correa
Journal:  Brain Imaging Behav       Date:  2021-08-18       Impact factor: 3.224

Review 2.  What Can Resting-State fMRI Data Analysis Explain about the Functional Brain Connectivity in Glioma Patients?

Authors:  Giovanni Sighinolfi; Micaela Mitolo; Claudia Testa; Matteo Martinoni; Stefania Evangelisti; Magali Jane Rochat; Matteo Zoli; Diego Mazzatenta; Raffaele Lodi; Caterina Tonon
Journal:  Tomography       Date:  2022-01-27

3.  Hemodynamic and metabolic correspondence of resting-state voxel-based physiological metrics in healthy adults.

Authors:  Shengwen Deng; Crystal G Franklin; Michael O'Boyle; Wei Zhang; Betty L Heyl; Paul A Jerabek; Hanzhang Lu; Peter T Fox
Journal:  Neuroimage       Date:  2022-01-20       Impact factor: 7.400

Review 4.  Alternations and Applications of the Structural and Functional Connectome in Gliomas: A Mini-Review.

Authors:  Ziyan Chen; Ningrong Ye; Chubei Teng; Xuejun Li
Journal:  Front Neurosci       Date:  2022-04-11       Impact factor: 5.152

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.