scholarly journals Funkciono MR snimanje u detekciji elokventnih mozdanih zona

2007 ◽  
Vol 54 (3) ◽  
pp. 39-41 ◽  
Author(s):  
O.B. Sveljo ◽  
K.M. Koprivek ◽  
M.A. Lucic ◽  
Z. Markovic ◽  
M. Prvulovic

Functional magnetic resonance imaging - fMRI is a relative new magnetic resonance technique that may be used for identification of eloquent cortical areas. Gold standard for detection of eloquent areas that should be preserved subsequent to resection is a direct cortical stimulation, which is invasive and frequently difficult to be performed. On the other hand, fMRI has proved to be a promising alternative with good time and spatial resolution. The paper explains the method of the functional MR imagining, origins of the signal and its relation to the neuronal activation. fMRI technique is illustrated by the example of the motor cortex identification. Functional Magnetic Resonance Imaging - fMRI is a relatively new MR application that can be used for detection of eloquent areas of the brain. The gold standard for identifying eloquent areas of the brain to be avoided in resections is direct cortical stimulation, which is an invasive and difficult procedure. On the other hand fMRI shows great promise as noninvasive alternative to invasive brain mapping with good temporal and spatial resolution. This paper introduces the technique of fMRI, explain the origin of the signal and his connections with neural activations. An illustrative example of a motor activation study is described.

2016 ◽  
Vol 27 (8) ◽  
pp. 871-885 ◽  
Author(s):  
Golrokh Mirzaei ◽  
Hojjat Adeli

AbstractIn recent years, there has been considerable research interest in the study of brain connectivity using the resting state functional magnetic resonance imaging (rsfMRI). Studies have explored the brain networks and connection between different brain regions. These studies have revealed interesting new findings about the brain mapping as well as important new insights in the overall organization of functional communication in the brain network. In this paper, after a general discussion of brain networks and connectivity imaging, the brain connectivity and resting state networks are described with a focus on rsfMRI imaging in stroke studies. Then, techniques for preprocessing of the rsfMRI for stroke patients are reviewed, followed by brain connectivity processing techniques. Recent research on brain connectivity using rsfMRI is reviewed with an emphasis on stroke studies. The authors hope this paper generates further interest in this emerging area of computational neuroscience with potential applications in rehabilitation of stroke patients.


Hypertension ◽  
2020 ◽  
Vol 76 (5) ◽  
pp. 1480-1490 ◽  
Author(s):  
Lorenzo Carnevale ◽  
Angelo Maffei ◽  
Alessandro Landolfi ◽  
Giovanni Grillea ◽  
Daniela Carnevale ◽  
...  

Hypertension is one of the main risk factors for vascular dementia and Alzheimer disease. To predict the onset of these diseases, it is necessary to develop tools to detect the early effects of vascular risk factors on the brain. Resting-state functional magnetic resonance imaging can investigate how the brain modulates its resting activity and analyze how hypertension impacts cerebral function. Here, we used resting-state functional magnetic resonance imaging to explore brain functional-hemodynamic coupling across different regions and their connectivity in patients with hypertension, as compared to subjects with normotension. In addition, we leveraged multimodal imaging to identify the signature of hypertension injury on the brain. Our study included 37 subjects (18 normotensives and 19 hypertensives), characterized by microstructural integrity by diffusion tensor imaging and cognitive profile, who were subjected to resting-state functional magnetic resonance imaging analysis. We mapped brain functional connectivity networks and evaluated the connectivity differences among regions, identifying the altered connections in patients with hypertension compared with subjects with normotension in the (1) dorsal attention network and sensorimotor network; (2) dorsal attention network and visual network; (3) dorsal attention network and frontoparietal network. Then we tested how diffusion tensor imaging fractional anisotropy of superior longitudinal fasciculus correlates with the connections between dorsal attention network and default mode network and Montreal Cognitive Assessment scores with a widespread network of functional connections. Finally, based on our correlation analysis, we applied a feature selection to highlight those most relevant to describing brain injury in patients with hypertension. Our multimodal imaging data showed that hypertensive brains present a network of functional connectivity alterations that correlate with cognitive dysfunction and microstructural integrity. Registration— URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02310217.


Neuroreport ◽  
2005 ◽  
Vol 16 (9) ◽  
pp. 883-886 ◽  
Author(s):  
C.-Y. Peter Chiu ◽  
Martha Coen-Cummings ◽  
Vincent J. Schmithorst ◽  
Scott K. Holland ◽  
Robert Keith ◽  
...  

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