Efrosini Papadaki1,2, Nicholas J Simos3,4, Eleftherios Kavroulakis5, George Bertsias6,7, Despina Antypa8, Antonis Fanouriakis6,9, Thomas Maris5,3, Prodromos Sidiropoulos6, Dimitrios T Boumpas6,9,10,11. 1. Department of Radiology, School of Medicine, University of Crete, University Hospital of Heraklion, 71003, Heraklion, Crete, Greece. fpapada@otenet.gr. 2. Computational Bio-Medicine Laboratory, Institute of Computer Science, Foundation for Research and Technology - Hellas, Heraklion, Greece. fpapada@otenet.gr. 3. Computational Bio-Medicine Laboratory, Institute of Computer Science, Foundation for Research and Technology - Hellas, Heraklion, Greece. 4. Department of Electrical and Computer Engineering, Technical University of Crete, Chania, Crete, Greece. 5. Department of Radiology, School of Medicine, University of Crete, University Hospital of Heraklion, 71003, Heraklion, Crete, Greece. 6. Department of Rheumatology, Clinical Immunology and Allergy, School of Medicine, University of Crete, University Hospital of Heraklion, Heraklion, Crete, Greece. 7. Institute of Molecular Biology and Biotechnology, Foundation of Research and Technology-Hellas, Voutes, Heraklion, Greece. 8. Department of Psychiatry, School of Medicine, University of Crete, University Hospital of Heraklion, Heraklion, Crete, Greece. 9. 4th Department of Internal Medicine, Attikon University Hospital, Medical School, National and Kapodestrian University of Athens, Athens, Greece. 10. Laboratory of Autoimmunity and Inflammation, Biomedical Research Foundation of the Academy of Athens, Athens, Greece. 11. Joint Academic Rheumatology Program, and 4th Department of Medicine, Medical School, National and Kapodestrian University of Athens, Athens, Greece.
Abstract
PURPOSE: Τhe study examined changes in hemodynamics and functional connectivity in patients with systemic lupus erythematosus (SLE) with or without neuropsychiatric manifestations. METHODS: Participants were 44 patients with neuropsychiatric SLE (NPSLE), 20 SLE patients without such manifestations (non-NPSLE), and 35 healthy controls. Resting-state functional MRI (rs-fMRI) was used to obtain whole-brain maps of (a) perfusion dynamics derived through time shift analysis (TSA), (b) regional functional connectivity (intrinsic connectivity contrast (ICC) coefficients), and (c) hemodynamic-connectivity coupling. Group differences were assessed through independent samples t-tests, and correlations of rs-fMRI indices with clinical variables and neuropsychological test scores were, also, computed. RESULTS: Compared to HC, NPSLE patients demonstrated intrinsic hypoconnectivity of anterior Default Mode Network (DMN) and hyperconnectivity of posterior DMN components. These changes were paralleled by elevated hemodynamic lag. In NPSLE, cognitive performance was positively related to higher intrinsic connectivity in these regions, and to higher connectivity-hemodynamic coupling in posterior DMN components. Uncoupling between hemodynamics and connectivity in the posterior DMN was associated with worse task performance. Non-NPSLE patients displayed hyperconnectivity in posterior DMN and sensorimotor regions paralleled by relatively increased hemodynamic lag. CONCLUSION: Adaptation of regional brain function to hemodynamic changes in NPSLE may involve locally decreased or locally increased intrinsic connectivity (which can be beneficial for cognitive function). This process may also involve elevated coupling of hemodynamics with functional connectivity (beneficial for cognitive performance) or uncoupling, which may be detrimental for the cognitive skills of NPSLE patients.
PURPOSE: Τhe study examined changes in hemodynamics and functional connectivity in patients with systemic lupus erythematosus (SLE) with or without neuropsychiatric manifestations. METHODS: Participants were 44 patients with neuropsychiatric SLE (NPSLE), 20 SLE patients without such manifestations (non-NPSLE), and 35 healthy controls. Resting-state functional MRI (rs-fMRI) was used to obtain whole-brain maps of (a) perfusion dynamics derived through time shift analysis (TSA), (b) regional functional connectivity (intrinsic connectivity contrast (ICC) coefficients), and (c) hemodynamic-connectivity coupling. Group differences were assessed through independent samples t-tests, and correlations of rs-fMRI indices with clinical variables and neuropsychological test scores were, also, computed. RESULTS: Compared to HC, NPSLE patients demonstrated intrinsic hypoconnectivity of anterior Default Mode Network (DMN) and hyperconnectivity of posterior DMN components. These changes were paralleled by elevated hemodynamic lag. In NPSLE, cognitive performance was positively related to higher intrinsic connectivity in these regions, and to higher connectivity-hemodynamic coupling in posterior DMN components. Uncoupling between hemodynamics and connectivity in the posterior DMN was associated with worse task performance. Non-NPSLE patients displayed hyperconnectivity in posterior DMN and sensorimotor regions paralleled by relatively increased hemodynamic lag. CONCLUSION: Adaptation of regional brain function to hemodynamic changes in NPSLE may involve locally decreased or locally increased intrinsic connectivity (which can be beneficial for cognitive function). This process may also involve elevated coupling of hemodynamics with functional connectivity (beneficial for cognitive performance) or uncoupling, which may be detrimental for the cognitive skills of NPSLE patients.
Authors: D D Gladman; C H Goldsmith; M B Urowitz; P Bacon; P Fortin; E Ginzler; C Gordon; J G Hanly; D A Isenberg; M Petri; O Nived; M Snaith; G Sturfelt Journal: J Rheumatol Date: 2000-02 Impact factor: 4.666
Authors: P Preziosa; M A Rocca; G A Ramirez; E P Bozzolo; V Canti; E Pagani; P Valsasina; L Moiola; P Rovere-Querini; A A Manfredi; M Filippi Journal: Eur J Neurol Date: 2019-08-08 Impact factor: 6.089