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      Correlation between resting state fMRI total neuronal activity and PET metabolism in healthy controls and patients with disorders of consciousness

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          Abstract

          Introduction

          The mildly invasive 18F‐fluorodeoxyglucose positron emission tomography ( FDGPET) is a well‐established imaging technique to measure ‘resting state’ cerebral metabolism. This technique made it possible to assess changes in metabolic activity in clinical applications, such as the study of severe brain injury and disorders of consciousness.

          Objective

          We assessed the possibility of creating functional MRI activity maps, which could estimate the relative levels of activity in FDGPET cerebral metabolic maps. If no metabolic absolute measures can be extracted, our approach may still be of clinical use in centers without access to FDGPET. It also overcomes the problem of recognizing individual networks of independent component selection in functional magnetic resonance imaging ( fMRI) resting state analysis.

          Methods

          We extracted resting state fMRI functional connectivity maps using independent component analysis and combined only components of neuronal origin. To assess neuronality of components a classification based on support vector machine ( SVM) was used. We compared the generated maps with the FDGPET maps in 16 healthy controls, 11 vegetative state/unresponsive wakefulness syndrome patients and four locked‐in patients.

          Results

          The results show a significant similarity with ρ = 0.75 ± 0.05 for healthy controls and ρ = 0.58 ± 0.09 for vegetative state/unresponsive wakefulness syndrome patients between the FDGPET and the fMRI based maps. FDGPET, fMRI neuronal maps, and the conjunction analysis show decreases in frontoparietal and medial regions in vegetative patients with respect to controls. Subsequent analysis in locked‐in syndrome patients produced also consistent maps with healthy controls.

          Conclusions

          The constructed resting state fMRI functional connectivity map points toward the possibility for fMRI resting state to estimate relative levels of activity in a metabolic map.

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          Most cited references46

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          Conscious, preconscious, and subliminal processing: a testable taxonomy.

          Of the many brain events evoked by a visual stimulus, which are specifically associated with conscious perception, and which merely reflect non-conscious processing? Several recent neuroimaging studies have contrasted conscious and non-conscious visual processing, but their results appear inconsistent. Some support a correlation of conscious perception with early occipital events, others with late parieto-frontal activity. Here we attempt to make sense of these dissenting results. On the basis of the global neuronal workspace hypothesis, we propose a taxonomy that distinguishes between vigilance and access to conscious report, as well as between subliminal, preconscious and conscious processing. We suggest that these distinctions map onto different neural mechanisms, and that conscious perception is systematically associated with surges of parieto-frontal activity causing top-down amplification.
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            Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations.

            A previous report of correlations in low-frequency resting-state fluctuations between right and left hemisphere motor cortices in rapidly sampled single-slice echoplanar data is confirmed using a whole-body echoplanar MRI scanner at 1.5 T. These correlations are extended to lower sampling rate multislice echoplanar acquisitions and other right/left hemisphere-symmetric functional cortices. The specificity of the correlations in the lower sampling-rate acquisitions is lower due to cardiac and respiratory-cycle effects which are aliased into the pass-band of the low-pass filter. Data are combined for three normal right-handed male subjects. Correlations to left hemisphere motor cortex, visual cortex, and amygdala are measured in long resting-state scans.
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              The JFK Coma Recovery Scale-Revised: measurement characteristics and diagnostic utility.

              To determine the measurement properties and diagnostic utility of the JFK Coma Recovery Scale-Revised (CRS-R). Analysis of interrater and test-retest reliability, internal consistency, concurrent validity, and diagnostic accuracy. Acute inpatient brain injury rehabilitation hospital. Convenience sample of 80 patients with severe acquired brain injury admitted to an inpatient Coma Intervention Program with a diagnosis of either vegetative state (VS) or minimally conscious state (MCS). Not applicable. The CRS-R, the JFK Coma Recovery Scale (CRS), and the Disability Rating Scale (DRS). Interrater and test-retest reliability were high for CRS-R total scores. Subscale analysis showed moderate to high interrater and test-retest agreement although systematic differences in scoring were noted on the visual and oromotor/verbal subscales. CRS-R total scores correlated significantly with total scores on the CRS and DRS indicating acceptable concurrent validity. The CRS-R was able to distinguish 10 patients in an MCS who were otherwise misclassified as in a VS by the DRS. The CRS-R can be administered reliably by trained examiners and repeated measurements yield stable estimates of patient status. CRS-R subscale scores demonstrated good agreement across raters and ratings but should be used cautiously because some scores were underrepresented in the current study. The CRS-R appears capable of differentiating patients in an MCS from those in a VS.
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                Author and article information

                Journal
                Brain Behav
                Brain Behav
                10.1002/(ISSN)2157-9032
                BRB3
                Brain and Behavior
                John Wiley and Sons Inc. (Hoboken )
                2162-3279
                29 December 2015
                January 2016
                : 6
                : 1 ( doiID: 10.1002/brb3.2016.6.issue-1 )
                : e00424
                Affiliations
                [ 1 ] Department of Physics & Astronomy, Brain and Mind InstituteWestern University London OntarioCanada
                [ 2 ] Department of Computer ScienceUniversidad Central de Colombia BogotáColombia
                [ 3 ] GIGA‐Research & Cyclotron Research CentreUniversity of Liège LiègeBelgium
                [ 4 ] Department of RadiologyWeill Cornell Medical College New York New York
                [ 5 ] Department of Algology and Palliative CareUniversity Hospital of Liège LiègeBelgium
                [ 6 ] Brain and Spine InstituteInstitut du Cerveau et de la Moelle épinière (ICM) Hôpital Pitié‐Salpêtrière ParisFrance
                [ 7 ]Brain Innovation B.V. Maastrichtthe Netherlands
                [ 8 ] Department of NeurologyUniversity Hospital of Liège LiègeBelgium
                Author notes
                [*] [* ] Correspondence

                Andrea Soddu, Department of Physics and Astronomy, Western University, 1151 Richmond Street, London, ON, N6A 3K7 Canada. Tel: 519/661 2111 ext. 82669; Fax: 519/661 2033; E‐mail: asoddu@ 123456uwo.ca

                Article
                BRB3424
                10.1002/brb3.424
                4834945
                27110443
                8ab2c44c-c8fc-40c4-b2f9-a87e4e4b68c2
                © 2015 The Authors. Brain and Behavior published by Wiley Periodicals, Inc.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 May 2015
                : 23 November 2015
                : 26 November 2015
                Page count
                Pages: 15
                Funding
                Funded by: Discovery Grant of the Natural Sciences and Engineering Research Council of Canada (NSERC)
                Funded by: Belgian National Funds for Scientific Research (FNRS)
                Funded by: Tinnitus Prize 2011
                Award ID: FNRS 9.4501.12
                Funded by: European Commission
                Funded by: James McDonnell Foundation
                Funded by: European Space Agency
                Funded by: Mind Science Foundation
                Funded by: French Speaking Community Concerted Research Action (REST)
                Funded by: Public Utility Foundation “Université Européenne du Travail”
                Funded by: “Fondazione Europea di Ricerca Biomedica”
                Funded by: University and University Hospital of Liège
                Funded by: University of Western Ontario
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                brb3424
                January 2016
                Converter:WILEY_ML3GV2_TO_NLMPMC version:4.8.6 mode:remove_FC converted:18.04.2016

                Neurosciences
                disorders of consciousness,fdg‐pet,fmri,ica,metabolism,resting state
                Neurosciences
                disorders of consciousness, fdg‐pet, fmri, ica, metabolism, resting state

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