18
views
0
recommends
+1 Recommend
2 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Functional connectivity underlying cognitive and psychiatric symptoms in post-COVID-19 syndrome: is anosognosia a key determinant?

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Lack of awareness of cognitive impairment (i.e. anosognosia) could be a key factor for distinguishing between neuropsychological post-COVID-19 condition phenotypes. In this context, the 2-fold aim of the present study was to (i) establish the prevalence of anosognosia for memory impairment, according to the severity of the infection in the acute phase and (ii) determine whether anosognosic patients with post-COVID syndrome have a different cognitive and psychiatric profile from nosognosic patients, with associated differences in brain functional connectivity. A battery of neuropsychological, psychiatric, olfactory, dyspnoea, fatigue and quality-of-life tests was administered 227.07 ± 42.69 days post-SARS-CoV-2 infection to 102 patients (mean age: 56.35 years, 65 men, no history of neurological, psychiatric, neuro-oncological or neurodevelopmental disorder prior to infection) who had experienced either a mild (not hospitalized; n = 45), moderate (conventional hospitalization; n = 34) or severe (hospitalization with intensive care unit stay and mechanical ventilation; n = 23) presentation in the acute phase. Patients were first divided into two groups according to the presence or absence of anosognosia for memory deficits (26 anosognosic patients and 76 nosognosic patients). Of these, 49 patients underwent an MRI. Structural images were visually analysed, and statistical intergroup analyses were then performed on behavioural and functional connectivity measures. Only 15.6% of patients who presented mild disease displayed anosognosia for memory dysfunction, compared with 32.4% of patients with moderate presentation and 34.8% of patients with severe disease. Compared with nosognosic patients, those with anosognosia for memory dysfunction performed significantly more poorly on objective cognitive and olfactory measures. By contrast, they gave significantly more positive subjective assessments of their quality of life, psychiatric status and fatigue. Interestingly, the proportion of patients exhibiting a lack of consciousness of olfactory deficits was significantly higher in the anosognosic group. Functional connectivity analyses revealed a significant decrease in connectivity, in the anosognosic group as compared with the nosognosic group, within and between the following networks: the left default mode, the bilateral somatosensory motor, the right executive control, the right salient ventral attention and the bilateral dorsal attention networks, as well as the right Lobules IV and V of the cerebellum. Lack of awareness of cognitive disorders and, to a broader extent, impairment of the self-monitoring brain system, may be a key factor for distinguishing between the clinical phenotypes of post-COVID syndrome with neuropsychological deficits.

          Abstract

          Voruz et al. demonstrate that a lack of awareness of cognitive impairment (i.e. anosognosia) could be a key factor for distinguishing between different phenotypes of patients with neuropsychological post-COVID-19 conditions.

          Graphical Abstract

          Graphical Abstract

          Related collections

          Most cited references106

          • Record: found
          • Abstract: found
          • Article: not found

          A new method for measuring daytime sleepiness: the Epworth sleepiness scale.

          The development and use of a new scale, the Epworth sleepiness scale (ESS), is described. This is a simple, self-administered questionnaire which is shown to provide a measurement of the subject's general level of daytime sleepiness. One hundred and eighty adults answered the ESS, including 30 normal men and women as controls and 150 patients with a range of sleep disorders. They rated the chances that they would doze off or fall asleep when in eight different situations commonly encountered in daily life. Total ESS scores significantly distinguished normal subjects from patients in various diagnostic groups including obstructive sleep apnea syndrome, narcolepsy and idiopathic hypersomnia. ESS scores were significantly correlated with sleep latency measured during the multiple sleep latency test and during overnight polysomnography. In patients with obstructive sleep apnea syndrome ESS scores were significantly correlated with the respiratory disturbance index and the minimum SaO2 recorded overnight. ESS scores of patients who simply snored did not differ from controls.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            N4ITK: improved N3 bias correction.

            A variant of the popular nonparametric nonuniform intensity normalization (N3) algorithm is proposed for bias field correction. Given the superb performance of N3 and its public availability, it has been the subject of several evaluation studies. These studies have demonstrated the importance of certain parameters associated with the B-spline least-squares fitting. We propose the substitution of a recently developed fast and robust B-spline approximation routine and a modified hierarchical optimization scheme for improved bias field correction over the original N3 algorithm. Similar to the N3 algorithm, we also make the source code, testing, and technical documentation of our contribution, which we denote as "N4ITK," available to the public through the Insight Toolkit of the National Institutes of Health. Performance assessment is demonstrated using simulated data from the publicly available Brainweb database, hyperpolarized (3)He lung image data, and 9.4T postmortem hippocampus data.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A component based noise correction method (CompCor) for BOLD and perfusion based fMRI.

              A component based method (CompCor) for the reduction of noise in both blood oxygenation level-dependent (BOLD) and perfusion-based functional magnetic resonance imaging (fMRI) data is presented. In the proposed method, significant principal components are derived from noise regions-of-interest (ROI) in which the time series data are unlikely to be modulated by neural activity. These components are then included as nuisance parameters within general linear models for BOLD and perfusion-based fMRI time series data. Two approaches for the determination of the noise ROI are considered. The first method uses high-resolution anatomical data to define a region of interest composed primarily of white matter and cerebrospinal fluid, while the second method defines a region based upon the temporal standard deviation of the time series data. With the application of CompCor, the temporal standard deviation of resting-state perfusion and BOLD data in gray matter regions was significantly reduced as compared to either no correction or the application of a previously described retrospective image based correction scheme (RETROICOR). For both functional perfusion and BOLD data, the application of CompCor significantly increased the number of activated voxels as compared to no correction. In addition, for functional BOLD data, there were significantly more activated voxels detected with CompCor as compared to RETROICOR. In comparison to RETROICOR, CompCor has the advantage of not requiring external monitoring of physiological fluctuations.
                Bookmark

                Author and article information

                Journal
                Brain Commun
                Brain Commun
                braincomms
                Brain Communications
                Oxford University Press
                2632-1297
                2022
                09 March 2022
                09 March 2022
                : 4
                : 2
                : fcac057
                Affiliations
                [1 ]Clinical and Experimental Neuropsychology Laboratory, Faculty of Psychology, University of Geneva , Geneva, Switzerland
                [2 ]Neurology Department, Geneva University Hospitals , Geneva, Switzerland
                [3 ]Faculty of Medicine, University of Geneva , Geneva, Switzerland
                [4 ]Leenaards Memory Center, Lausanne University Hospital and University of Lausanne , Lausanne, Switzerland
                [5 ]Psychiatry Department, Geneva University Hospitals , Geneva, Switzerland
                [6 ]Diagnostic and Interventional Neuroradiology Department, Geneva University Hospitals , Geneva, Switzerland
                [7 ]Division and Department of Primary Care Medicine, Geneva University Hospitals , Geneva, Switzerland
                [8 ]Internal Medicine Department, Geneva University Hospitals , Geneva, Switzerland
                [9 ]Intensive Care Department, Geneva University Hospitals , Geneva, Switzerland
                [10 ]Rhinology-Olfactology Unit, Otorhinolaryngology Department, Geneva University Hospitals , Geneva, Switzerland
                [11 ]Division of Pulmonary Diseases, Geneva University Hospitals , Geneva, Switzerland
                [12 ]Institute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne (EPFL) , Lausanne, Switzerland
                Author notes
                Correspondence to: Professor Julie Anne Péron Faculté de Psychologie et des Sciences de l’Education 40 bd du Pont d’Arve, 1205 Geneva, Switzerland E-mail: julie.peron@ 123456unige.ch
                Author information
                https://orcid.org/0000-0001-6796-8807
                https://orcid.org/0000-0002-1910-9650
                https://orcid.org/0000-0002-4455-6719
                https://orcid.org/0000-0002-0491-6089
                https://orcid.org/0000-0002-6579-4011
                Article
                fcac057
                10.1093/braincomms/fcac057
                8956133
                35350554
                683f49be-47b1-4a5a-b7bc-7d49fab8e81c
                © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 December 2021
                : 17 January 2022
                : 06 March 2022
                Page count
                Pages: 15
                Funding
                Funded by: Swiss National Science Foundation, doi 10.13039/501100001711;
                Funded by: National Research Program;
                Award ID: 407840_198438, RNP 78
                Categories
                Original Article
                AcademicSubjects/MED00310
                AcademicSubjects/SCI01870

                post-covid syndrome,anosognosia,neuropsychological deficits,mri,functional connectivity

                Comments

                Comment on this article