scholarly journals The influence of low-grade glioma on resting state oscillatory brain activity: a magnetoencephalography study

2008 ◽  
Vol 88 (1) ◽  
pp. 77-85 ◽  
Author(s):  
I. Bosma ◽  
C. J. Stam ◽  
L. Douw ◽  
F. Bartolomei ◽  
J. J. Heimans ◽  
...  
Keyword(s):  
Resting State ◽  
Brain Activity ◽  
Low Grade Glioma ◽  
Low Grade ◽  
Oscillatory Brain Activity

Pathomechanisms in hepatic encephalopathy

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Dieter Häussinger ◽  
Markus Butz ◽  
Alfons Schnitzler ◽  
Boris Görg
Keyword(s):  
Hepatic Encephalopathy ◽  
Nitrosative Stress ◽  
Cortical Excitability ◽  
Brain Activity ◽  
System Level ◽  
Low Grade ◽  
Motor Impairments ◽  
Chronic Liver Failure ◽  
Oscillatory Brain Activity ◽  
Neuronal Functions

Abstract Hepatic encephalopathy (HE) is a frequent neuropsychiatric complication in patients with acute or chronic liver failure. Symptoms of HE in particular include disturbances of sensory and motor functions and cognition. HE is triggered by heterogeneous factors such as ammonia being a main toxin, benzodiazepines, proinflammatory cytokines and hyponatremia. HE in patients with liver cirrhosis is triggered by a low-grade cerebral edema and cerebral oxidative/nitrosative stress which bring about a number of functionally relevant alterations including posttranslational protein modifications, oxidation of RNA, gene expression changes and senescence. These alterations are suggested to impair astrocyte/neuronal functions and communication. On the system level, a global slowing of oscillatory brain activity and networks can be observed paralleling behavioral perceptual and motor impairments. Moreover, these changes are related to increased cerebral ammonia, alterations in neurometabolite and neurotransmitter concentrations and cortical excitability in HE patients.

scholarly journals Assessment and elimination of the effects of head movement on MEG resting-state measures of oscillatory brain activity

NeuroImage ◽  
2017 ◽  
Vol 159 ◽  
pp. 302-324 ◽  
Author(s):  
Eirini Messaritaki ◽  
Loes Koelewijn ◽  
Diana C. Dima ◽  
Gemma M. Williams ◽  
Gavin Perry ◽  
...  
Keyword(s):  
Resting State ◽  
Head Movement ◽  
Brain Activity ◽  
Oscillatory Brain Activity

Abnormal baseline brain activity in low-grade hepatic encephalopathy: A resting-state fMRI study

2012 ◽  
Vol 318 (1-2) ◽  
pp. 140-145 ◽  
Author(s):  
Hua-Jun Chen ◽  
Xi-Qi Zhu ◽  
Yun Jiao ◽  
Pei-Cheng Li ◽  
Yu Wang ◽  
...  
Keyword(s):  
Hepatic Encephalopathy ◽  
Resting State ◽  
Brain Activity ◽  
Resting State Fmri ◽  
Low Grade ◽  
Fmri Study

scholarly journals Synchronized brain activity and neurocognitive function in patients with low-grade glioma: A magnetoencephalography study

2008 ◽  
Vol 10 (5) ◽  
pp. 734-744 ◽  
Author(s):  
Ingeborg Bosma ◽  
Linda Douw ◽  
Fabrice Bartolomei ◽  
Jan J. Heimans ◽  
Bob W. van Dijk ◽  
...  
Keyword(s):  
Brain Activity ◽  
Neurocognitive Function ◽  
Low Grade Glioma ◽  
Low Grade

scholarly journals Cognition in MS correlates with resting-state oscillatory brain activity: An explorative MEG source-space study

2013 ◽  
Vol 2 ◽  
pp. 727-734 ◽  
Author(s):  
M.L. Van der Meer ◽  
P. Tewarie ◽  
M.M. Schoonheim ◽  
L. Douw ◽  
F. Barkhof ◽  
...  
Keyword(s):  
Resting State ◽  
Brain Activity ◽  
Oscillatory Brain Activity

fMRI Resting-State Connectivity between Language and Nonlanguage Areas as Defined by Intraoperative Electrocortical Stimulation in Low-Grade Glioma Patients

2021 ◽  
Author(s):  
Jasper van Lieshout ◽  
Wouter Debaene ◽  
Marion Rapp ◽  
Herke Jan Noordmans ◽  
Geert-Jan Rutten
Keyword(s):  
Functional Connectivity ◽  
Spatial Resolution ◽  
Resting State ◽  
Imaging Techniques ◽  
Low Grade Glioma ◽  
Low Grade ◽  
Operating Characteristics ◽  
Language Mapping ◽  
Current Form ◽  
Resting State Connectivity

Abstract Background and Objectives It remains to be determined whether noninvasive functional imaging techniques can rival the clinical potential of direct electrocortical stimulation (DES). In this study, we compared the results of resting-state functional magnetic resonance imaging (rs-fMRI) to those of DES for language mapping. Our goals were twofold: (1) to replicate a previous study that demonstrated that resting-state connectivity (RSC) was significantly larger between positive DES language sites than between negative DES language sites and (2) to compare the spatial resolution of rs-fMRI to that of DES. Methods We conducted a retrospective study of nine low-grade glioma patients. Language sites were identified by intraoperative DES. We compared RSC values between and within groups of DES-positive and DES-negative regions of interest (ROIs). Both close-negative sites (i.e., DES-negative sites <1 cm apart from and on the same gyrus as DES-positive sites) and far-negative sites (i.e., purely randomly chosen sites not in the vicinity of the tumor or of the DES-positive sites but on the same lobe) were included. Receiver operating characteristics were used to quantify comparisons. Results Functional connectivity between all positive language sites was on average significantly higher than between all close-negative sites and between all far-negative sites. The functional connectivity between the positive language ROIs and their respective close-negative control sites was not smaller than between all positive language sites. Conclusion rs-fMRI likely reflects similar neural information as detected with DES, but in its current form does not reach the spatial resolution of DES.

scholarly journals Resting-State Electroencephalography Functional Connectivity Networks Relate to Pre- and Postoperative Language Functioning in Low-Grade Glioma and Meningioma Patients

2021 ◽  
Vol 15 ◽  
Author(s):  
Nienke Wolthuis ◽  
Djaina Satoer ◽  
Wencke Veenstra ◽  
Marion Smits ◽  
Michiel Wagemakers ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Functional Connectivity ◽  
Resting State ◽  
Spanning Trees ◽  
Low Grade Glioma ◽  
Low Grade ◽  
Global Integration ◽  
Healthy Individuals ◽  
Language Performance ◽  
Language Functioning

Introduction: Preservation of language functioning in patients undergoing brain tumor surgery is essential because language impairments negatively impact the quality of life. Brain tumor patients have alterations in functional connectivity (FC), the extent to which brain areas functionally interact. We studied FC networks in relation to language functioning in glioma and meningioma patients.Method: Patients with a low-grade glioma (N = 15) or meningioma (N = 10) infiltrating into/pressing on the language-dominant hemisphere underwent extensive language testing before and 1 year after surgery. Resting-state EEG was registered preoperatively, postoperatively (glioma patients only), and once in healthy individuals. After analyzing FC in theta and alpha frequency bands, weighted networks and Minimum Spanning Trees were quantified by various network measures.Results: Pre-operative FC network characteristics did not differ between glioma patients and healthy individuals. However, hub presence and higher local and global FC are associated with poorer language functioning before surgery in glioma patients and predict worse language performance at 1 year after surgery. For meningioma patients, a greater small worldness was related to worse language performance and hub presence; better average clustering and global integration were predictive of worse outcome on language function 1 year after surgery. The average eccentricity, diameter and tree hierarchy seem to be the network metrics with the more pronounced relation to language performance.Discussion: In this exploratory study, we demonstrated that preoperative FC networks are informative for pre- and postoperative language functioning in glioma patients and to a lesser extent in meningioma patients.

scholarly journals Resting state network plasticity related to picture naming in low-grade glioma patients before and after resection

2019 ◽  
Vol 24 ◽  
pp. 102010 ◽  
Author(s):  
L.E.H. van Dokkum ◽  
S. Moritz Gasser ◽  
J. Deverdun ◽  
G. Herbet ◽  
T. Mura ◽  
...  
Keyword(s):  
Resting State ◽  
Picture Naming ◽  
Low Grade Glioma ◽  
Low Grade ◽  
Resting State Network ◽  
Before And After ◽  
Network Plasticity

scholarly journals New technologies for low-grade glioma surgery

2019 ◽  
pp. 122-126
Author(s):  
Nicolae-Ștefan Bogaciu ◽  
Daniel Teleanu ◽  
A. V. Ciurea
Keyword(s):  
New Technologies ◽  
Imaging Techniques ◽  
Brain Activity ◽  
Extent Of Resection ◽  
Low Grade Glioma ◽  
Surgical Instruments ◽  
Low Grade ◽  
Glioma Surgery ◽  
New Methods ◽  
Microsurgical Techniques

Brain surgery has come far from the primitive methods used thousands of years ago. In the last hundred years alone, we have come across countless breakthroughs like the invention of bipolar coagulation, the surgical microscope, microsurgical techniques and a large variety of surgical instruments. The latest years have brought us neuro-navigation, intra-operative imaging techniques and brain activity monitoring. Low-grade glioma surgery, in particular, has taken advantage a lot from all these new methods, bringing great benefits for the patients: the safe extent of resection has grown progressively and tumours located in eloquent areas that were thought until recently to be inoperable, have started to be removed in safe conditions. The purpose of this paper is to present these new technologies as a recap for neurosurgical professionals.

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