Kim A Meijer1, Anand J C Eijlers2, Linda Douw2, Bernard M J Uitdehaag2, Frederik Barkhof2, Jeroen J G Geurts2, Menno M Schoonheim2. 1. From the Departments of Anatomy and Neurosciences (K.A.M., A.J.C.E., L.D., J.J.G.G., M.M.S.), Neurology (B.M.J.U.), and Radiology and Nuclear Medicine (F.B.), VUmc MS Center Amsterdam, Amsterdam Neuroscience Campus, VU University Medical Center, the Netherlands; and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, London, UK. k.meijer@vumc.nl. 2. From the Departments of Anatomy and Neurosciences (K.A.M., A.J.C.E., L.D., J.J.G.G., M.M.S.), Neurology (B.M.J.U.), and Radiology and Nuclear Medicine (F.B.), VUmc MS Center Amsterdam, Amsterdam Neuroscience Campus, VU University Medical Center, the Netherlands; and Institutes of Neurology and Healthcare Engineering (F.B.), University College London, London, UK.
Abstract
OBJECTIVE: To investigate default-mode network (DMN) and frontoparietal network (FPN) dysfunction in cognitively impaired (CI) patients with multiple sclerosis (MS) because these networks strongly relate to cognition and contain most of the hubs of the brain. METHODS: Resting-state fMRI and neuropsychological assessments were performed in 322 patients with MS and 96 healthy controls (HCs). Patients with MS were classified as CI (z score < -2.0 on at least 2 tests; n = 87), mildly cognitively impaired (z score < -1.5 on at least 2 tests and not CI; n = 65), and cognitively preserved (CP; n = 180). Within-network connectivity, connectivity with the rest of the brain, and between-network connectivity were calculated and compared between groups. Connectivity values were normalized for individual means and SDs. RESULTS: Only in CI, both the DMN and FPN showed increased connectivity with the rest of the brain compared to HCs and CP, with no change in within- or between-network connectivity. Regionally, this increased connectivity was driven by the inferior parietal, posterior cingulate, and angular gyri. Increased connectivity with the rest of the brain correlated with worse cognitive performance, namely attention for the FPN as well as information processing speed and working memory for both networks. CONCLUSIONS: In CI patients with MS, the DMN and FPN showed increased connectivity with the rest of the brain, while normal within- and between-network connectivity levels were maintained. These findings indicate that cognitive impairment in MS features disturbed communication of hub-rich networks, but only with the more peripheral (i.e., nonhub) regions of the brain.
OBJECTIVE: To investigate default-mode network (DMN) and frontoparietal network (FPN) dysfunction in cognitively impaired (CI) patients with multiple sclerosis (MS) because these networks strongly relate to cognition and contain most of the hubs of the brain. METHODS: Resting-state fMRI and neuropsychological assessments were performed in 322 patients with MS and 96 healthy controls (HCs). Patients with MS were classified as CI (z score < -2.0 on at least 2 tests; n = 87), mildly cognitively impaired (z score < -1.5 on at least 2 tests and not CI; n = 65), and cognitively preserved (CP; n = 180). Within-network connectivity, connectivity with the rest of the brain, and between-network connectivity were calculated and compared between groups. Connectivity values were normalized for individual means and SDs. RESULTS: Only in CI, both the DMN and FPN showed increased connectivity with the rest of the brain compared to HCs and CP, with no change in within- or between-network connectivity. Regionally, this increased connectivity was driven by the inferior parietal, posterior cingulate, and angular gyri. Increased connectivity with the rest of the brain correlated with worse cognitive performance, namely attention for the FPN as well as information processing speed and working memory for both networks. CONCLUSIONS: In CI patients with MS, the DMN and FPN showed increased connectivity with the rest of the brain, while normal within- and between-network connectivity levels were maintained. These findings indicate that cognitive impairment in MS features disturbed communication of hub-rich networks, but only with the more peripheral (i.e., nonhub) regions of the brain.
Authors: Gabriel Mangeat; Atef Badji; Russell Ouellette; Constantina A Treaba; Elena Herranz; Tobias Granberg; Céline Louapre; Nikola Stikov; Jacob A Sloane; Pierre Bellec; Caterina Mainero; Julien Cohen-Adad Journal: Hum Brain Mapp Date: 2018-02-06 Impact factor: 5.038
Authors: Declan T Chard; Adnan A S Alahmadi; Bertrand Audoin; Thalis Charalambous; Christian Enzinger; Hanneke E Hulst; Maria A Rocca; Àlex Rovira; Jaume Sastre-Garriga; Menno M Schoonheim; Betty Tijms; Carmen Tur; Claudia A M Gandini Wheeler-Kingshott; Alle Meije Wink; Olga Ciccarelli; Frederik Barkhof Journal: Nat Rev Neurol Date: 2021-01-12 Impact factor: 42.937
Authors: Jan-Patrick Stellmann; Adil Maarouf; Karl-Heinz Schulz; Lisa Baquet; Jana Pöttgen; Stefan Patra; Iris-Katharina Penner; Susanne Gellißen; Gesche Ketels; Pierre Besson; Jean-Philippe Ranjeva; Maxime Guye; Guido Nolte; Andreas K Engel; Bertrand Audoin; Christoph Heesen; Stefan M Gold Journal: Front Hum Neurosci Date: 2020-06-30 Impact factor: 3.169
Authors: Christina Engl; Laura Tiemann; Sophia Grahl; Matthias Bussas; Paul Schmidt; Viola Pongratz; Achim Berthele; Annkathrin Beer; Christian Gaser; Jan S Kirschke; Claus Zimmer; Bernhard Hemmer; Mark Mühlau Journal: J Neurol Date: 2020-04-23 Impact factor: 4.849
Authors: Sophie M D D Fitzsimmons; Linda Douw; Odile A van den Heuvel; Ysbrand D van der Werf; Chris Vriend Journal: Hum Brain Mapp Date: 2020-05-12 Impact factor: 5.038
Authors: K A Meijer; Q van Geest; A J C Eijlers; J J G Geurts; M M Schoonheim; H E Hulst Journal: Neuroimage Clin Date: 2018-09-26 Impact factor: 4.881