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

Author(s):  
Nicholas S. Cho ◽  
Kyung K. Peck ◽  
Madeleine N. Gene ◽  
Mehrnaz Jenabi ◽  
Andrei I. Holodny
Medicine ◽  
2016 ◽  
Vol 95 (29) ◽  
pp. e4310 ◽  
Author(s):  
Julián Benito-León ◽  
Elan D. Louis ◽  
Eva Manzanedo ◽  
Juan Antonio Hernández-Tamames ◽  
Juan Álvarez-Linera ◽  
...  

PLoS ONE ◽  
2012 ◽  
Vol 7 (5) ◽  
pp. e36222 ◽  
Author(s):  
Audrey Maudoux ◽  
Philippe Lefebvre ◽  
Jean-Evrard Cabay ◽  
Athena Demertzi ◽  
Audrey Vanhaudenhuyse ◽  
...  

2021 ◽  
Vol 15 ◽  
Author(s):  
Suhan Senova ◽  
Jean-Pascal Lefaucheur ◽  
Pierre Brugières ◽  
Samar S. Ayache ◽  
Sanaa Tazi ◽  
...  

Background: Maximum safe resection of infiltrative brain tumors in eloquent area is the primary objective in surgical neuro-oncology. This goal can be achieved with direct electrical stimulation (DES) to perform a functional mapping of the brain in patients awake intraoperatively. When awake surgery is not possible, we propose a pipeline procedure that combines advanced techniques aiming at performing a dissection that respects the anatomo-functional connectivity of the peritumoral region. This procedure can benefit from intraoperative monitoring with computerized tomography scan (iCT-scan) and brain shift correction. Associated with this intraoperative monitoring, the additional value of preoperative investigation combining brain mapping by navigated transcranial magnetic stimulation (nTMS) with various neuroimaging modalities (tractography and resting state functional MRI) has not yet been reported.Case Report: A 42-year-old left-handed man had increased intracranial pressure (IICP), left hand muscle deficit, and dysarthria, related to an infiltrative tumor of the right frontal lobe with large mass effect and circumscribed contrast enhancement in motor and premotor cortical areas. Spectroscopy profile and intratumoral calcifications on CT-scan suggested an WHO grade III glioma, later confirmed by histology. The aforementioned surgical procedure was considered, since standard awake surgery was not appropriate for this patient. In preoperative time, nTMS mapping of motor function (deltoid, first interosseous, and tibialis anterior muscles) was performed, combined with magnetic resonance imaging (MRI)-based tractography reconstruction of 6 neural tracts (arcuate, corticospinal, inferior fronto-occipital, uncinate and superior and inferior longitudinal fasciculi) and resting-state functional MRI connectivity (rs-fMRI) of sensorimotor and language networks. In intraoperative time, DES mapping was performed with motor evoked response recording and tumor resection was optimized using non-rigid image transformation of the preoperative data (nTMS, tractography, and rs-fMRI) to iCT data. Image guidance was updated with correction for brain shift and tissue deformation using biomechanical modeling taking into account brain elastic properties. This correction was done at crucial surgical steps, i.e., when tumor bulged through the craniotomy after dura mater opening and when approaching the presumed eloquent brain regions. This procedure allowed a total resection of the tumor region with contrast enhancement as well as a complete regression of IICP and dysarthria. Hand paresis remained stable with no additional deficit. Postoperative nTMS mapping confirmed the good functional outcome.Conclusion: This case report and technical note highlights the value of preoperative functional evaluation by nTMS updated intraoperatively with correction of brain deformation by iCT. This multimodal approach may become the optimized technique of reference for patients with brain tumors in eloquent areas that are unsuitable for awake brain surgery.


Brain ◽  
2020 ◽  
Vol 143 (5) ◽  
pp. 1525-1540 ◽  
Author(s):  
Anna K Bonkhoff ◽  
Flor A Espinoza ◽  
Harshvardhan Gazula ◽  
Victor M Vergara ◽  
Lukas Hensel ◽  
...  

Abstract Acute ischaemic stroke disturbs healthy brain organization, prompting subsequent plasticity and reorganization to compensate for the loss of specialized neural tissue and function. Static resting state functional MRI studies have already furthered our understanding of cerebral reorganization by estimating stroke-induced changes in network connectivity aggregated over the duration of several minutes. In this study, we used dynamic resting state functional MRI analyses to increase temporal resolution to seconds and explore transient configurations of motor network connectivity in acute stroke. To this end, we collected resting state functional MRI data of 31 patients with acute ischaemic stroke and 17 age-matched healthy control subjects. Stroke patients presented with moderate to severe hand motor deficits. By estimating dynamic functional connectivity within a sliding window framework, we identified three distinct connectivity configurations of motor-related networks. Motor networks were organized into three regional domains, i.e. a cortical, subcortical and cerebellar domain. The dynamic connectivity patterns of stroke patients diverged from those of healthy controls depending on the severity of the initial motor impairment. Moderately affected patients (n = 18) spent significantly more time in a weakly connected configuration that was characterized by low levels of connectivity, both locally as well as between distant regions. In contrast, severely affected patients (n = 13) showed a significant preference for transitions into a spatially segregated connectivity configuration. This configuration featured particularly high levels of local connectivity within the three regional domains as well as anti-correlated connectivity between distant networks across domains. A third connectivity configuration represented an intermediate connectivity pattern compared to the preceding two, and predominantly encompassed decreased interhemispheric connectivity between cortical motor networks independent of individual deficit severity. Alterations within this third configuration thus closely resembled previously reported ones originating from static resting state functional MRI studies post-stroke. In summary, acute ischaemic stroke not only prompted changes in connectivity between distinct networks, but it also caused characteristic changes in temporal properties of large-scale network interactions depending on the severity of the individual deficit. These findings offer new vistas on the dynamic neural mechanisms underlying acute neurological symptoms, cortical reorganization and treatment effects in stroke patients.


2018 ◽  
Vol 39 (12) ◽  
pp. 4802-4819 ◽  
Author(s):  
Nan Zhang ◽  
Mingrui Xia ◽  
Tianming Qiu ◽  
Xindi Wang ◽  
Ching‐po Lin ◽  
...  

2015 ◽  
Vol 37 (3) ◽  
pp. 913-923 ◽  
Author(s):  
Haris I. Sair ◽  
Noushin Yahyavi-Firouz-Abadi ◽  
Vince D. Calhoun ◽  
Raag D. Airan ◽  
Shruti Agarwal ◽  
...  

2015 ◽  
Vol 36 (11) ◽  
pp. 4566-4581 ◽  
Author(s):  
Steffie N. Tomson ◽  
Matthew J. Schreiner ◽  
Manjari Narayan ◽  
Tena Rosser ◽  
Nicole Enrique ◽  
...  

Author(s):  
KM Ikeda ◽  
SM Mirsattari ◽  
AR Khan ◽  
I Johnsrude ◽  
JG Burneo ◽  
...  

Background: Predicting epilepsy following a first seizure is difficult. Network abnormalities are observed in patients with epilepsy using resting-state functional MRI (rs-fMRI), which worsen with duration of epilepsy. We use rs-fMRI to identify network abnormalities in patients after a first seizure that can be used as a biomarker to predict development of epilepsy. Methods: Patients after a single, unprovoked seizure and age/sex matched healthy controls underwent 7 Tesla structural and resting-state functional MRI. Data were analyzed using graph theory measures. Patients were followed for development of epilepsy. Results: Nine patients and nine control subjects were analyzed. There were no differences in baseline characteristics. No patients developed epilepsy (average follow-up 3 months). No differences between groups occurred on a whole-brain network level. At a 20% threshold, significant differences occurred in the default mode network (DMN). Patients demonstrated an increased local efficiency (p=0.02) and clustering coefficient (p=0.04), and decreased path length (p=0.02) and betweenness centrality (p=0.02). Conclusions: No whole-brain network changes occur after a single unprovoked seizure. No patient has developed epilepsy suggesting this group does not have network alterations after a single seizure. In the DMN, the alterations noted indicate increased segregation of network function.


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