- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05019196
fMRI Study of Functional Reorganization in Glioma Patients
Neuroimaging Study on the Recombination of Brain Motor and Language Function Induced by Glioma
Study Overview
Detailed Description
Glioblastoma is the most common malignant tumor of the central nervous system in adults. It is highly invasive, grows rapidly and has a poor prognosis. Brain tumors, whether benign or malignant in nature, take up space in the skull and will follow the tumor. The malignant degree of growth, so that the intracranial pressure increases, thus compression or destruction of brain tissue, leading to central nervous damage, it endangers the life of the patient.
At present, neurosurgery is still the main treatment for craniocerebral tumors. Surgical resection course degree is a determinant of patient survival. Due to individual differences and pathological changes, the effect of causing the variation of the anatomical position of brain functional areas and the generation of intraoperative brain tissue displacement all make it difficult to determine correct functional areas, which is the main reason that affects the accuracy and postoperative effect of surgery.
However, routine MRI scans have difficulty in identifying changes in adjacent functional areas caused by tumors, and is also difficult to define the boundaries of invasive neoplasms. The application of functional magnetic resonance imaging and diffusion tensor imaging enables neurosurgeons not only to be accurate positioning the functional areas, but knowing the functional areas caused by the tumor before neurosurgery, so as to maximize removing the tumor and better protecting important functional areas.
After stroke, the language and motor function will undergo plasticity, causing the language and motor areas to slowly repair the damaged brain function. Contrast to stroke, low-grade glioma grows slower, which gives brain more time to adapt to the damage caused by tumor growth, it may cause more functional reorganization. Professor Hugues Duffau's research, published in the journal Brain, also shows that it is brain plasticity that can effectively explain patients with low-grade gliomas, even in language and motor areas, did not appear obvious dysfunction. Therefore, exploring the brain functional plasticity of low-grade glioma not only facilitates the maximum resection of the tumor, but also help for prediction of postoperative of rehabilitation.
Therefore, taking the patients with brain glioma as the object in this project, combining with intraoperative cortical electrical stimulation and multiple modal magnetic resonance imaging, a multi-time longitudinal study was designed to explore the imaging features of changes in motor and language plasticity in low-grade gliomas.
All images were obtained using a GE3.0T magnetic resonance scanner. 3D-T1FSPGR( fast spoiled gradient echo)was scanned for anatomical images, T2-weighted single-shot gradient-echo-planae-imaging sequence for functional images. Tak-based fMRI used block design mode (e.g. ABAB mode) with 30s resting state (A) and 30s hand movement task (B) alternating, the whole task process has a total of 6 resting states, 5 tasks state composition. All patients and healthy controls were instructed to repeatedly play each visual stimulus with open and close hand. All the subjects were trained on a specific exercise task before the scans, to ensure that the task is fully understood and that you are able to cooperate carefully to complete the scan. Language tasks use the block design paradigm. The equation is control-task-control last for 5min30s with 30s interval.
In this study, the subjects looked at the "+" symbol on the screen and lay quietly on the exam bed performing three language tasks. All the patients were trained to better cooperate with the subjects. To avoid head movement displacement during scanning, patients are required to speak as softly as possible that is whisper. Furthermore,derect electric stimulus was conducted in every patient. If the distance between functional areas and the positive target of electrical stimulation was less than 1cm, the results of fMRI and electrical considered were considered to be consistent. As for functional rating scale, the standard chinese version of the Quality of Life Inventory EORTC QLQ-C30 (3.0) was used to assess the preoperative quality of life of patients with brain tumors; KPS( Karnofsky Performance Status Scale)was used to evaluate physiological function; Mini-Mental State Examination (MMSE) was used for clinical screening of cognitive impairment, evaluate the patients' interpretation, spatial orientation, memory and computation, linguistic naming and reading ability.
Correlation analysis was conducted between the fMRI data processing results and functional scale score, to build the brain structure - function correlation models and explore different stages of low-grade glioma recombination mode of functional areas.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- All cases underwent no treatment or surgery before examination;
- Can cooperate to complete routine MRI, fMRI, DTI, and rfMRI were required and the image quality was graded the value of analysis;
- All cases were confirmed by craniotomy and pathology;
- Right-handed;
- Mass lesion located in the left dominant hemisphere
- single lesion;
- No chronic diseases such as hypertension and diabetes
Exclusion Criteria:
- History of neurological diseases;
- Previous history of brain trauma accompanied by consciousness disorder;
- Before scanning 6, a history of long-term use of psychoactive substances such as alcohol and drug within one month;
- Obviously mentally handicapped;
- magnetic resonance (NMR) check for contraindications;
- Family history of neuropsychiatric disorders
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
fMRI,functional reorganization, functional connectivity, functional rating scale
low-grade glioma patients healthy controls
|
using GE 3.0T MRI to obtain anatomical and functional MR images and DTI images
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Analysis of functional connections between cerebral hemispheric regions
Time Frame: 2021.12.1
|
This study selected the functional activation regions of the patients' own motor or language tasks were used as seed points for the functional connections of complex brain networks analysis.
Each region of interest is defined as a sphere with a radius of 6mm for functional connection analysis.
Among them, Pearson's correlation coefficient was used as a pairing calculation between brain regions in each patient.
Apply the Fisher's r turnZ method is used to improve the normality of the correlation coefficient
|
2021.12.1
|
Collaborators and Investigators
Investigators
- Study Director: Chen Niu, PhD, The First Affiliated Hospital of Xi 'an Jiaotong University
Publications and helpful links
General Publications
- Duffau H. Stimulation mapping of white matter tracts to study brain functional connectivity. Nat Rev Neurol. 2015 May;11(5):255-65. doi: 10.1038/nrneurol.2015.51. Epub 2015 Apr 7.
- Marusyk A, Almendro V, Polyak K. Intra-tumour heterogeneity: a looking glass for cancer? Nat Rev Cancer. 2012 Apr 19;12(5):323-34. doi: 10.1038/nrc3261.
- Stupp R, Brada M, van den Bent MJ, Tonn JC, Pentheroudakis G; ESMO Guidelines Working Group. High-grade glioma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2014 Sep;25 Suppl 3:iii93-101. doi: 10.1093/annonc/mdu050. Epub 2014 Apr 29. No abstract available.
- Rosler J, Niraula B, Strack V, Zdunczyk A, Schilt S, Savolainen P, Lioumis P, Makela J, Vajkoczy P, Frey D, Picht T. Language mapping in healthy volunteers and brain tumor patients with a novel navigated TMS system: evidence of tumor-induced plasticity. Clin Neurophysiol. 2014 Mar;125(3):526-36. doi: 10.1016/j.clinph.2013.08.015. Epub 2013 Sep 16.
- Southwell DG, Hervey-Jumper SL, Perry DW, Berger MS. Intraoperative mapping during repeat awake craniotomy reveals the functional plasticity of adult cortex. J Neurosurg. 2016 May;124(5):1460-9. doi: 10.3171/2015.5.JNS142833. Epub 2015 Nov 6.
- Duffau H. The huge plastic potential of adult brain and the role of connectomics: new insights provided by serial mappings in glioma surgery. Cortex. 2014 Sep;58:325-37. doi: 10.1016/j.cortex.2013.08.005. Epub 2013 Aug 19.
- Saito T, Muragaki Y, Miura I, Tamura M, Maruyama T, Nitta M, Kurisu K, Iseki H, Okada Y. Functional plasticity of language confirmed with intraoperative electrical stimulations and updated neuronavigation: case report of low-grade glioma of the left inferior frontal gyrus. Neurol Med Chir (Tokyo). 2014;54(7):587-92. doi: 10.2176/nmc.cr.2013-0248. Epub 2014 Feb 28.
- Duffau H. Lessons from brain mapping in surgery for low-grade glioma: insights into associations between tumour and brain plasticity. Lancet Neurol. 2005 Aug;4(8):476-86. doi: 10.1016/S1474-4422(05)70140-X.
- Duffau H. Diffuse low-grade gliomas and neuroplasticity. Diagn Interv Imaging. 2014 Oct;95(10):945-55. doi: 10.1016/j.diii.2014.08.001. Epub 2014 Sep 16.
- Briganti C, Sestieri C, Mattei PA, Esposito R, Galzio RJ, Tartaro A, Romani GL, Caulo M. Reorganization of functional connectivity of the language network in patients with brain gliomas. AJNR Am J Neuroradiol. 2012 Nov;33(10):1983-90. doi: 10.3174/ajnr.A3064. Epub 2012 May 3.
- Otten ML, Mikell CB, Youngerman BE, Liston C, Sisti MB, Bruce JN, Small SA, McKhann GM 2nd. Motor deficits correlate with resting state motor network connectivity in patients with brain tumours. Brain. 2012 Apr;135(Pt 4):1017-26. doi: 10.1093/brain/aws041. Epub 2012 Mar 8.
- Desmurget M, Bonnetblanc F, Duffau H. Contrasting acute and slow-growing lesions: a new door to brain plasticity. Brain. 2007 Apr;130(Pt 4):898-914. doi: 10.1093/brain/awl300. Epub 2006 Nov 21.
- Abd-El-Barr MM, Saleh E, Huang RY, Golby AJ. Effect of disease and recovery on functional anatomy in brain tumor patients: insights from functional MRI and diffusion tensor imaging. Imaging Med. 2013 Aug 1;5(4):333-346. doi: 10.2217/iim.13.40.
- Tuntiyatorn L, Wuttiplakorn L, Laohawiriyakamol K. Plasticity of the motor cortex in patients with brain tumors and arteriovenous malformations: a functional MR study. J Med Assoc Thai. 2011 Sep;94(9):1134-40.
- Kosla K, Pfajfer L, Bryszewski B, Jaskolski D, Stefanczyk L, Majos A. Functional rearrangement of language areas in patients with tumors of the central nervous system using functional magnetic resonance imaging. Pol J Radiol. 2012 Jul;77(3):39-45. doi: 10.12659/pjr.883373.
- Bryszewski B, Pfajfer L, Antosik-Biernacka A, Tybor K, Smigielski J, Zawirski M, Majos A. Functional rearrangement of the primary and secondary motor cortex in patients with primary tumors of the central nervous system located in the region of the central sulcus depending on the histopathological type and the size of tumor: Examination by means of functional magnetic resonance imaging. Pol J Radiol. 2012 Jan;77(1):12-20. doi: 10.12659/pjr.882576.
- Niu C, Zhang M, Min Z, Rana N, Zhang Q, Liu X, Li M, Lin P. Motor network plasticity and low-frequency oscillations abnormalities in patients with brain gliomas: a functional MRI study. PLoS One. 2014 May 7;9(5):e96850. doi: 10.1371/journal.pone.0096850. eCollection 2014. Erratum In: PLoS One. 2014;9(8):e105134.
- Small SL, Buccino G, Solodkin A. Brain repair after stroke--a novel neurological model. Nat Rev Neurol. 2013 Dec;9(12):698-707. doi: 10.1038/nrneurol.2013.222. Epub 2013 Nov 12.
Study record dates
Study Major Dates
Study Start (Anticipated)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2018SF-113
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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