ID 139 – Our experience of the comparative fmri resting state (RS) analysis in normal subjects and patients with severe traumatic brain injury (TBI) according the algorithm of independent components analysis (ICA). Issue 3 (March 2016)

• Record Type: Journal Article
• Authors: Gavron, A.A.; Sharova, E.V.; Abdulaev, A.A.; Smirnov, A.S.; Fadeeva, L.M.; Chelyapina, M.V.; Zaytsev, O.S.; Verkhlyutov, V.M.; Pronin, I.N.
• Is Part Of: Clinical neurophysiology. Volume 127:Issue 3(2016:Mar.)
• Page Start: e76
• Publication Date: 2016-03
• Subjects: Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2015.11.254
• Languages: English
• ISSNs: 1388-2457

Abstract

Abstract : FMRI RS analysis is adequate for basic level human brain's functional activity study in health and pathology. However there is no recognized processing algorithm, convenient for clinic. We conducted a pilot RS studies (fMRI 3T) in 12 healthy volunteers and 6 patients with TBI with movement disorders and depression of consciousness, according ICA as implemented in FSL software. After the selection of liquor and vascular artifacts were detected 7–8 components, described as the main in literature. DMN, sensorimotor and lateralized fronto-parietal components were analyzed in more details, evaluated topography, the total volume and intensity of activation as well as power spectrum frequency characteristics of hemodynamic signals (average frequency, dominant frequency peak). It was found that activation volume and average power spectrum frequency of DMN network variative in healthy subjects and conjugate to gender, motor functional asymmetry and EEG pattern. Depression of consciousness in TBI patients accompanied by reduction of the DMN network cortical components, intensity of its activation and decrease frequency indicators. When hemiparesis we observed asymmetric reduction of sensorimotor component. These data demonstrate diagnostic informative of the used algorithm RS fMRI analysis and clarify the functional significance of individual independent components and their quantitative characteristics in TBI.