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Exploratory study of the effect of brain tumors on the default mode network
- Source :
- Journal of Neuro-Oncology. 128:437-444
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- Resting state functional magnetic resonance imaging (RS-fMRI) is a popular method of visualizing functional networks in the brain. One of these networks, the default mode network (DMN), has exhibited altered connectivity in a variety of pathological states, including brain tumors. However, very few studies have attempted to link the effect of tumor localization, type and size on DMN connectivity. We collected RS-fMRI data in 73 patients with various brain tumors and attempted to characterize the different effects these tumors had on DMN connectivity based on their location, type and size. This was done by comparing the tumor patients with healthy controls using independent component analysis (ICA) and seed based analysis. We also used a multi-seed approach described in the paper to account for anatomy distortion in the tumor patients. We found that tumors in the left hemisphere had the largest effect on DMN connectivity regardless of their size and type, while this effect was not observed for right hemispheric tumors. Tumors in the cerebellum also had statistically significant effects on DMN connectivity. These results suggest that DMN connectivity in the left side of the brain may be more fragile to insults by lesions.
- Subjects :
- Cancer Research
medicine.medical_specialty
Cerebellum
Neurology
Rest
Biology
Functional Laterality
050105 experimental psychology
Lateralization of brain function
Functional networks
03 medical and health sciences
0302 clinical medicine
Glioma
Neural Pathways
medicine
Humans
0501 psychology and cognitive sciences
Pathological
Default mode network
Analysis of Variance
Brain Mapping
Brain Neoplasms
05 social sciences
Brain
Neoplastic Cells, Circulating
medicine.disease
Magnetic Resonance Imaging
Resting state functional magnetic resonance imaging
medicine.anatomical_structure
Oncology
Regression Analysis
Neurology (clinical)
human activities
Neuroscience
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 15737373 and 0167594X
- Volume :
- 128
- Database :
- OpenAIRE
- Journal :
- Journal of Neuro-Oncology
- Accession number :
- edsair.doi.dedup.....3ec76b38b631b05895cba3916c392043