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Functional Connectivity Changes in Systemic Lupus Erythematosus : A Resting-State Study

Nystedt, Jessika LU ; Mannfolk, Peter LU ; Jönsen, Andreas LU ; Bengtsson, Anders LU ; Nilsson, Petra LU ; Sundgren, Pia C. LU orcid and Strandberg, Tor O. LU (2018) In Brain Connectivity 8(4). p.220-234
Abstract

To investigate resting-state functional connectivity of lupus patients and associated subgroups according to the ACR NPSLE case definitions (ACR ad hoc). In addition, we investigated whether or not the observed alterations correlated with disease duration, the systemic lupus erythematosus (SLE)-Disease Activity Index-2000 (SLEDAI-2k), and Systemic Lupus International Collaborating Clinical/ACR organ damage index (SDI)-scores. Anatomical 3T magnetic resonance imaging (MRI) and resting-state functional MRI were performed in 61 female lupus patients (mean age = 37.0 years, range = 18.2-52.0 years) and 20 gender- and age-matched controls (mean age = 36.2 years, range = 23.3-52.2 years) in conjunction with clinical examination and laboratory... (More)

To investigate resting-state functional connectivity of lupus patients and associated subgroups according to the ACR NPSLE case definitions (ACR ad hoc). In addition, we investigated whether or not the observed alterations correlated with disease duration, the systemic lupus erythematosus (SLE)-Disease Activity Index-2000 (SLEDAI-2k), and Systemic Lupus International Collaborating Clinical/ACR organ damage index (SDI)-scores. Anatomical 3T magnetic resonance imaging (MRI) and resting-state functional MRI were performed in 61 female lupus patients (mean age = 37.0 years, range = 18.2-52.0 years) and 20 gender- and age-matched controls (mean age = 36.2 years, range = 23.3-52.2 years) in conjunction with clinical examination and laboratory testing. Whole-brain voxelwise functional connectivity analysis with permutation testing was performed to extract network components that differed in lupus patients relative to healthy controls (HCs). Lupus patients exhibited both inter- and intranetwork hypo- and hyperconnectivity involving several crucial networks. We found reduced connectivity within the default mode network (DMN), the central executive network (CEN), and in-between the DMN and CEN in lupus patients. Increased connectivity was primarily observed within and between the sensory motor network in lupus patients when compared to HCs. Comparing lupus patients with and without neuropsychiatric symptoms, hypoconnectivity was more pronounced in the group with neuropsychiatric complaints. The functional connectivity of SLE patients was both positively and negatively correlated to duration of disease. We conclude that SLE patients in general and neuropsychiatric SLE patients in particular experience altered brain connectivity. These patterns may be due both to direct neuronal damage and compensatory mechanisms through neuronal rewiring and recruitment and may partly explain neuropsychiatric symptoms in SLE patients.

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author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
brain connectivity, functional MRI, MRI, NPSLE, SLE
in
Brain Connectivity
volume
8
issue
4
pages
15 pages
publisher
Mary Ann Liebert, Inc.
external identifiers
  • pmid:29498293
  • scopus:85047491573
ISSN
2158-0014
DOI
10.1089/brain.2017.0557
language
English
LU publication?
yes
id
65ddf6b6-7f0b-4a0b-8a14-2ec8c78cf25b
date added to LUP
2018-06-05 12:15:46
date last changed
2024-04-15 08:53:53
@article{65ddf6b6-7f0b-4a0b-8a14-2ec8c78cf25b,
  abstract     = {{<p>To investigate resting-state functional connectivity of lupus patients and associated subgroups according to the ACR NPSLE case definitions (ACR ad hoc). In addition, we investigated whether or not the observed alterations correlated with disease duration, the systemic lupus erythematosus (SLE)-Disease Activity Index-2000 (SLEDAI-2k), and Systemic Lupus International Collaborating Clinical/ACR organ damage index (SDI)-scores. Anatomical 3T magnetic resonance imaging (MRI) and resting-state functional MRI were performed in 61 female lupus patients (mean age = 37.0 years, range = 18.2-52.0 years) and 20 gender- and age-matched controls (mean age = 36.2 years, range = 23.3-52.2 years) in conjunction with clinical examination and laboratory testing. Whole-brain voxelwise functional connectivity analysis with permutation testing was performed to extract network components that differed in lupus patients relative to healthy controls (HCs). Lupus patients exhibited both inter- and intranetwork hypo- and hyperconnectivity involving several crucial networks. We found reduced connectivity within the default mode network (DMN), the central executive network (CEN), and in-between the DMN and CEN in lupus patients. Increased connectivity was primarily observed within and between the sensory motor network in lupus patients when compared to HCs. Comparing lupus patients with and without neuropsychiatric symptoms, hypoconnectivity was more pronounced in the group with neuropsychiatric complaints. The functional connectivity of SLE patients was both positively and negatively correlated to duration of disease. We conclude that SLE patients in general and neuropsychiatric SLE patients in particular experience altered brain connectivity. These patterns may be due both to direct neuronal damage and compensatory mechanisms through neuronal rewiring and recruitment and may partly explain neuropsychiatric symptoms in SLE patients.</p>}},
  author       = {{Nystedt, Jessika and Mannfolk, Peter and Jönsen, Andreas and Bengtsson, Anders and Nilsson, Petra and Sundgren, Pia C. and Strandberg, Tor O.}},
  issn         = {{2158-0014}},
  keywords     = {{brain connectivity; functional MRI; MRI; NPSLE; SLE}},
  language     = {{eng}},
  month        = {{05}},
  number       = {{4}},
  pages        = {{220--234}},
  publisher    = {{Mary Ann Liebert, Inc.}},
  series       = {{Brain Connectivity}},
  title        = {{Functional Connectivity Changes in Systemic Lupus Erythematosus : A Resting-State Study}},
  url          = {{http://dx.doi.org/10.1089/brain.2017.0557}},
  doi          = {{10.1089/brain.2017.0557}},
  volume       = {{8}},
  year         = {{2018}},
}