Reduced dynamics of functional connectivity and cognitive impairment in multiple sclerosis

被引:46
作者
D'Ambrosio, Alessandro [1 ]
Valsasina, Paola [1 ]
Gallo, Antonio [2 ]
De Stefano, Nicola [3 ]
Pareto, Deborah [4 ]
Barkhof, Frederik [5 ,6 ]
Ciccarelli, Olga [6 ]
Enzinger, Christian [7 ]
Tedeschi, Gioacchino [2 ]
Stromillo, M. Laura [3 ]
Arevalo, Maria J. [8 ]
Hulst, Hanneke E. [9 ]
Muhlert, Nils [6 ]
Koini, Marisa [7 ]
Filippi, Massimo [1 ,10 ]
Rocca, Maria A. [1 ,10 ]
机构
[1] Univ Vita Salute San Raffaele, Inst Expt Neurol, San Raffaele Sci Inst, Div Neurosci,Neuroimaging Res Unit, Via Olgettina 60, I-20132 Milan, Italy
[2] Univ Campania L Vanvitelli, Dept Med Surg Neurol Metab & Aging Sci, Div Neurol 1, Naples, Italy
[3] Univ Siena, Dept Med Surg & Neurosci, Siena, Italy
[4] Hosp Univ Vall dHebron, Dept Radiol, Magnet Resonance Unit, Barcelona, Spain
[5] Vrije Univ Amsterdam Med Ctr, Dept Radiol & Nucl Med, Amsterdam, Netherlands
[6] UCL, UCL Inst Neurol, Dept Neuroinflammat, Queen Sq MS Ctr, London, England
[7] Med Univ Graz, Dept Neurol, Graz, Austria
[8] Univ Autonoma Barcelona, Hosp Univ Vall dHebron, Multiple Sclerosis Ctr Catalonia Cemcat, Dept Neurol Neuroimmunol, Barcelona, Spain
[9] Vrije Univ Amsterdam Med Ctr, MS Ctr Amsterdam, Dept Anat & Neurosci, Amsterdam Neurosci, Amsterdam, Netherlands
[10] Univ Vita Salute San Raffaele, Dept Neurol, Inst Expt Neurol, Div Neurosci,San Raffaele Sci Inst, Milan, Italy
关键词
Cognitive impairment; functional connectivity; functional magnetic resonance imaging; multiple sclerosis; resting state; brain dynamics; DEFAULT-MODE NETWORK; BRAIN CONNECTIVITY; DYSFUNCTION; FREQUENCY; SEVERITY; RELEVANT;
D O I
10.1177/1352458519837707
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: In multiple sclerosis (MS), abnormalities of brain network dynamics and their relevance for cognitive impairment have never been investigated. Objectives: The aim of this study was to assess the dynamic resting state (RS) functional connectivity (FC) on 62 relapsing-remitting MS patients and 65 sex-matched healthy controls enrolled at 7 European sites. Methods: MS patients underwent clinical and cognitive evaluation. Between-group network FC differences were evaluated using a dynamic approach (based on sliding-window correlation analysis) and grouping correlation matrices into recurrent FC states. Results: Dynamic FC analysis revealed, in healthy controls and MS patients, three recurrent FC states: two characterized by strong intra- and inter-network connectivity and one characterized by weak inter-network connectivity (State 3). A total of 23 MS patients were cognitively impaired (CI). Compared to cognitively preserved (CP), CI-MS patients had reduced RS-FC between subcortical and default-mode networks in the low-connectivity State 3 and lower dwell time (i.e. time spent in a given state) in the high-connectivity State 2. CI-MS patients also exhibited a lower number and a less frequent switching between meta-states, as well as a smaller distance traveled through connectivity states. Conclusion: Time-varying RS-FC was markedly less dynamic in CI- versus CP-MS patients, suggesting that slow inter-network connectivity contributes to cognitive dysfunction in MS.
引用
收藏
页码:476 / 488
页数:13
相关论文
共 35 条
[1]   Tracking Whole-Brain Connectivity Dynamics in the Resting State [J].
Allen, Elena A. ;
Damaraju, Eswar ;
Plis, Sergey M. ;
Erhardt, Erik B. ;
Eichele, Tom ;
Calhoun, Vince D. .
CEREBRAL CORTEX, 2014, 24 (03) :663-676
[2]   A baseline for the multivariate comparison of resting-state networks [J].
Allen, Elena A. ;
Erhardt, Erik B. ;
Damaraju, Eswar ;
Gruner, William ;
Segall, Judith M. ;
Silva, Rogers F. ;
Havlicek, Martin ;
Rachakonda, Srinivas ;
Fries, Jill ;
Kalyanam, Ravi ;
Michael, Andrew M. ;
Caprihan, Arvind ;
Turner, Jessica A. ;
Eichele, Tom ;
Adelsheim, Steven ;
Bryan, Angela D. ;
Bustillo, Juan ;
Clark, Vincent P. ;
Ewing, Sarah W. Feldstein ;
Filbey, Francesca ;
Ford, Corey C. ;
Hutchison, Kent ;
Jung, Rex E. ;
Kiehl, Kent A. ;
Kodituwakku, Piyadasa ;
Komesu, Yuko M. ;
Mayer, Andrew R. ;
Pearlson, Godfrey D. ;
Phillips, John P. ;
Sadek, Joseph R. ;
Stevens, Michael ;
Teuscher, Ursina ;
Thoma, Robert J. ;
Calhoun, Vince D. .
FRONTIERS IN SYSTEMS NEUROSCIENCE, 2011, 5
[3]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300
[4]   Distributed changes in default-mode resting-state connectivity in multiple sclerosis [J].
Bonavita, Simona ;
Gallo, Antonio ;
Sacco, Rosaria ;
Della Corte, Marida ;
Bisecco, Alvino ;
Docimo, Renato ;
Lavorgna, Luigi ;
Corbo, Daniele ;
Di Costanzo, Alfonso ;
Tortora, Fabio ;
Cirillo, Mario ;
Esposito, Fabrizio ;
Tedeschi, Gioacchino .
MULTIPLE SCLEROSIS JOURNAL, 2011, 17 (04) :411-422
[5]  
Boringa JB, 2001, MULT SCLER, V7, P263, DOI 10.1191/135245801680209385
[6]   A method for making group inferences from functional MRI data using independent component analysis [J].
Calhoun, VD ;
Adali, T ;
Pearlson, GD ;
Pekar, JJ .
HUMAN BRAIN MAPPING, 2001, 14 (03) :140-151
[7]   The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery [J].
Calhoun, Vince D. ;
Miller, Robyn ;
Pearlson, Godfrey ;
Adali, Tulay .
NEURON, 2014, 84 (02) :262-274
[8]   Time-frequency dynamics of resting-state brain connectivity measured with fMRI [J].
Chang, Catie ;
Glover, Gary H. .
NEUROIMAGE, 2010, 50 (01) :81-98
[9]   Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia [J].
Damaraju, E. ;
Allen, E. A. ;
Belger, A. ;
Ford, J. M. ;
McEwen, S. ;
Mathalon, D. H. ;
Mueller, B. A. ;
Pearlson, G. D. ;
Potkin, S. G. ;
Preda, A. ;
Turner, J. A. ;
Vaidya, J. G. ;
van Erp, T. G. ;
Calhoun, V. D. .
NEUROIMAGE-CLINICAL, 2014, 5 :298-308
[10]   Hippocampal and Deep Gray Matter Nuclei Atrophy Is Relevant for Explaining Cognitive Impairment in MS: A Multicenter Study [J].
Damjanovic, D. ;
Valsasina, P. ;
Rocca, M. A. ;
Stromillo, M. L. ;
Gallo, A. ;
Enzinger, C. ;
Hulst, H. E. ;
Rovira, A. ;
Muhlert, N. ;
De Stefano, N. ;
Bisecco, A. ;
Fazekas, F. ;
Arevalo, M. J. ;
Yousry, T. A. ;
Filippi, M. .
AMERICAN JOURNAL OF NEURORADIOLOGY, 2017, 38 (01) :18-24