Autor: |
Kremneva EI; Research Center of Neurology, Moscow, Russia., Sinitsyn DO; Research Center of Neurology, Moscow, Russia., Dobrynina LA; Research Center of Neurology, Moscow, Russia., Suslina AD; Research Center of Neurology, Moscow, Russia., Krotenkova MV; Research Center of Neurology, Moscow, Russia. |
Jazyk: |
ruština |
Zdroj: |
Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova [Zh Nevrol Psikhiatr Im S S Korsakova] 2022; Vol. 122 (2), pp. 5-14. |
DOI: |
10.17116/jnevro20221220215 |
Abstrakt: |
Resting state functional magnetic resonance imaging (fMRI) is a neuroimaging technique based on analyzing spontaneous, low frequency fluctuations in the activity of brain areas by measuring by their MRI signal to investigate the functional architecture of the brain during rest. The use of resting state fMRI opens up possibilities for assessing brain functional relationships in both normal conditions and in different CNS pathologies in order to clarify the disturbed mechanisms of brain functioning and develop approaches for therapeutic non-invasive neuromodulation. Understanding the acquisition of data, the features of their preprocessing and analysis is very important for clinicians who use resting state fMRI in their studies, since it is neurologists, psychiatrists, and neurosurgeons who set research tasks and are the final consumers of the results. The article details the methodological features of obtaining and analyzing resting state fMRI data, the advantages and disadvantages of the method. The article is intended for a wide range of specialists using this method in their work or planning to include it in their research. |
Databáze: |
MEDLINE |
Externí odkaz: |
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