Literature DB >> 30179690

Motor and language deficits correlate with resting state functional magnetic resonance imaging networks in patients with brain tumors.

Evangelia Liouta1, Vasileios K Katsaros2, George Stranjalis3, Edyta Leks4, Uwe Klose5, Sotirios Bisdas6.   

Abstract

BACKGROUND AND
PURPOSE: Evidence of pre-operative resting state functional magnetic resonance (RS-fMRI) validation by correlating it with clinical pre-operative status in brain tumor patients is scarce. Our aim was to validate the functional relevance of RS-fMRI by investigating the association between RS-fMRI and pre-operative motor and language function performance in patients with brain tumor.
MATERIALS AND METHODS: Sixty-nine patients with brain tumors were prospectively recruited. Patients with tumors near precentral gyrus (n = 49) underwent assessment for apparent (paresis) and subtle (finger tapping) deficits. Patients with left frontal tumors in the vicinity of the inferior frontal gyrus (n = 29) underwent assessment for gross (aphasia) and mild language (phonological verbal fluency) deficits. RS-fMRI results were extracted by spatial independent component analysis (ICA).
RESULTS: Motor group: paretic patients showed significantly (P = 0.01) decreased BOLD signal in ipsilesional precentral gyrus when compared to contralesional one. Significantly (P < 0.01) lower BOLD signal was also observed in ipsilesional precentral gyrus of paretics when compared with the non-paretics. In asymptomatic patients, a strong positive correlation (r = 0.68, P < 0.01) between ipsilesional motor cortex BOLD signal and contralesional finger tapping performance was observed. Language group: patients with aphasia showed significantly (P = 0.01) decreased RS-fMRI BOLD signal in left BA 44 when compared with non- aphasics. In asymptomatic patients, a strong positive correlation (r = 0.72, P < 0.01) between BA 44 BOLD signal and phonological fluency performance was observed.
CONCLUSIONS: Our results showed that RS-fMRI BOLD signal of motor and language networks were significantly affected by the tumors implying the usefulness of the method for assessment of the underlying functions in brain tumors patients.
Copyright © 2018 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Brain tumor; Language; Motor; Neuropsychological assessment; Resting state fMRI

Mesh:

Year:  2018        PMID: 30179690     DOI: 10.1016/j.neurad.2018.08.002

Source DB:  PubMed          Journal:  J Neuroradiol        ISSN: 0150-9861            Impact factor:   3.447


  3 in total

1.  Standardization of presurgical language fMRI in Greek population: Mapping of six critical regions.

Authors:  Kostakis Gkiatis; Kyriakos Garganis; Christopher F Benjamin; Irene Karanasiou; Nikolaos Kondylidis; Jean Harushukuri; George K Matsopoulos
Journal:  Brain Behav       Date:  2022-05-19       Impact factor: 3.405

2.  Functional connectivity of the default mode, dorsal attention and fronto-parietal executive control networks in glial tumor patients.

Authors:  Mickael Tordjman; Guillaume Madelin; Pradeep Kumar Gupta; Christine Cordova; Sylvia C Kurz; Daniel Orringer; John Golfinos; Douglas Kondziolka; Yulin Ge; Ruoyu Luie Wang; Mariana Lazar; Rajan Jain
Journal:  J Neurooncol       Date:  2021-02-02       Impact factor: 4.130

3.  Resting-state functional MRI language network connectivity differences in patients with brain tumors: exploration of the cerebellum and contralesional hemisphere.

Authors:  Nicholas S Cho; Kyung K Peck; Madeleine N Gene; Mehrnaz Jenabi; Andrei I Holodny
Journal:  Brain Imaging Behav       Date:  2021-08-01       Impact factor: 3.224

  3 in total

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