Tanaka Y. Neuropsychiatric systemic lupus erythematosus. Brain nerve. 2019;71(5):445–58.

CAS  PubMed  Google Scholar 

Tsuchiya H, Haga S, Takahashi Y, et al. Identification of novel autoantibodies to GABA(B) receptors in patients with neuropsychiatric systemic lupus erythematosus. Rheumatology (Oxford). 2014;53(7):1219–28.

Article  CAS  PubMed  Google Scholar 

Jafri K, Patterson SL, Lanata C. Central nervous system manifestations of systemic lupus erythematosus. Rheum Dis Clin North Am. 2017;43(4):531–45.

Article  PubMed  Google Scholar 

Shaikh MF, Jordan N, D'Cruz DP. Systemic lupus erythematosus. Clinical medicine (London, England). 2017;17(1):78–83.

Article  PubMed  PubMed Central  Google Scholar 

Liu S, Cheng Y, Zhao Y, et al. Hippocampal atrophy in systemic lupus erythematosus patients without major neuropsychiatric manifestations. J Immunol Res. 2020;2020:2943848.

Article  PubMed  PubMed Central  Google Scholar 

Papadaki E, Fanouriakis A, Kavroulakis E, et al. Neuropsychiatric lupus or not? Cerebral hypoperfusion by perfusion-weighted MRI in normal-appearing white matter in primary neuropsychiatric lupus erythematosus. Ann Rheum Dis. 2018;77(3):441–8.

Article  CAS  PubMed  Google Scholar 

Ho RC, Mak A. The interface between medicine and psychiatry: neuropsychiatric aspects of systemic lupus erythematosus (SLE). Annals of the Academy of Medicine, Singapore. 2014;43(8):388–90.

Article  PubMed  Google Scholar 

Kozora E, Arciniegas DB, Filley CM, et al. Cognitive and neurologic status in patients with systemic lupus erythematosus without major neuropsychiatric syndromes. Arthritis Rheum. 2008;59(11):1639–46.

Article  PubMed  Google Scholar 

Zimmermann N, Goulart Corrêa D, Tukamoto G, et al. Brain morphology and cortical thickness variations in systemic lupus erythematosus patients: Differences among neurological, psychiatric, and nonneuropsychiatric manifestations. Journal of magnetic resonance imaging : JMRI. 2017;46(1):150–8.

Article  PubMed  Google Scholar 

Liu S, Cheng Y, Zhao Y, et al. Clinical factors associated with brain volume reduction in systemic lupus erythematosus patients without major neuropsychiatric manifestations. Front Psychiatry. 2018;9:8.

Article  PubMed  PubMed Central  Google Scholar 

Nystedt J, Mannfolk P, Jönsen A, et al. Functional connectivity changes in core resting state networks are associated with cognitive performance in systemic lupus erythematosus. The Journal of comparative neurology. 2019;527(11):1837–56.

Article  CAS  PubMed  Google Scholar 

Jones SE, Buchbinder BR, Aharon I. Three-dimensional mapping of cortical thickness using Laplace's equation. Human brain mapping. 2000;11(1):12–32.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hayes JP, Logue MW, Sadeh N, et al. Mild traumatic brain injury is associated with reduced cortical thickness in those at risk for Alzheimer's disease. Brain : a journal of neurology. 2017;140(3):813–25.

PubMed  Google Scholar 

Hong SJ, Bernhardt BC, Schrader DS, et al. Whole-brain MRI phenotyping in dysplasia-related frontal lobe epilepsy. Neurology. 2016;86(7):643–50.

Article  PubMed  PubMed Central  Google Scholar 

Worker A, Blain C, Jarosz J, et al. Cortical thickness, surface area and volume measures in Parkinson's disease, multiple system atrophy and progressive supranuclear palsy. PLoS One. 2014;9(12):e114167.

Article  PubMed  PubMed Central  Google Scholar 

Brown EM, Pierce ME, Clark DC, et al. Test-retest reliability of FreeSurfer automated hippocampal subfield segmentation within and across scanners. NeuroImage. 2020;210:116563.

Article  PubMed  Google Scholar 

Desikan RS, Ségonne F, Fischl B, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage. 2006;31(3):968–80.

Article  PubMed  Google Scholar 

Destrieux C, Fischl B, Dale A, et al. Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature. NeuroImage. 2010;53(1):1–15.

Article  PubMed  Google Scholar 

Bizzo BC, Sanchez TA, Tukamoto G, et al. Cortical thickness and episodic memory impairment in systemic lupus erythematosus. Journal of neuroimaging : Official Journal of the American Society of Neuroimaging. 2017;27(1):122–7.

Article  PubMed  Google Scholar 

Jung RE, Segall JM, Grazioplene RG, et al. Cortical thickness and subcortical gray matter reductions in neuropsychiatric systemic lupus erythematosus. PLoS One. 2010;5(3):e9302.

Article  PubMed  PubMed Central  Google Scholar 

Alexander-Bloch A, Raznahan A, Bullmore E, et al. The convergence of maturational change and structural covariance in human cortical networks. J Neurosci. 2013;33(7):2889–99.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Geng X, Li G, Lu Z, et al. Structural and maturational covariance in early childhood brain development. Cerebral cortex (New York, NY : 1991). 2017;27(3):1795-1807.

Wei Y, Wang C, Liu J, et al. Progressive gray matter atrophy and abnormal structural covariance network in ischemic pontine stroke. Neuroscience. 2020;448:255–65.

Article  CAS  PubMed  Google Scholar 

Kuo CY, Lee PL, Hung SC, et al. Large-scale structural covariance networks predict age in middle-to-late adulthood: a novel brain aging biomarker. Cerebral cortex (New York, NY : 1991). 2020;30(11):5844-5862.

Yun JY, Boedhoe PSW, Vriend C, et al. Brain structural covariance networks in obsessive-compulsive disorder: a graph analysis from the ENIGMA Consortium. Brain : a journal of neurology. 2020;143(2):684–700.

PubMed  Google Scholar 

Li K, Luo X, Zeng Q, et al. Gray matter structural covariance networks changes along the Alzheimer's disease continuum. NeuroImage Clinical. 2019;23:101828.

Article  PubMed  PubMed Central  Google Scholar 

Zhou C, Gao T, Guo T, et al. Structural covariance network disruption and functional compensation in Parkinson's disease. Frontiers in aging neuroscience. 2020;12:199.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Wang WL, Li YL, Zheng MX, et al. Altered topological properties of grey matter structural covariance networks in complete thoracic spinal cord injury patients: a graph theoretical network analysis. Neural plasticity. 2021;2021:8815144.

Article  PubMed  PubMed Central  Google Scholar 

Li Y, Wang Y, Wang Y, et al. Impaired topological properties of gray matter structural covariance network in epilepsy children with generalized tonic-clonic seizures: a graph theoretical analysis. Frontiers in neurology. 2020;11:253.

Article  PubMed  PubMed Central  Google Scholar 

Bethlehem RAI, Romero-Garcia R, Mak E, et al. Structural covariance networks in children with autism or ADHD. Cerebral cortex (New York, NY : 1991). 2017;27(8):4267-4276.

Touma Z, Gladman DD, Su J, et al. SLEDAI-2K does not conceal worsening in a particular system when there is overall improvement. J Rheumatol. 2015;42(8):1401–5.

Article  PubMed  Google Scholar 

Gladman DD, Ibañez D, Urowitz MB. Systemic lupus erythematosus disease activity index 2000. J Rheumatol. 2002;29(2):288–91.

PubMed  Google Scholar 

Iscan Z, Jin TB, Kendrick A, et al. Test-retest reliability of freesurfer measurements within and between sites: effects of visual approval process. Human brain mapping. 2015;36(9):3472–85.

Article  PubMed  PubMed Central  Google Scholar 

Fischl B, Sereno MI, Tootell RB, et al. High-resolution intersubject averaging and a coordinate system for the cortical surface. Human brain mapping. 1999;8(4):272–84.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Klapwijk ET, van de Kamp F, van der Meulen M, et al. Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data. NeuroImage. 2019;189:116–29.

Article  PubMed  Google Scholar 

Fischl B, Dale AM. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc Natl Acad Sci U S A. 2000;97(20):11050–5.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Watts DJ, Strogatz SH. Collective dynamics of 'small-world' networks. Nature. 1998;393(6684):440–2.

Article  CAS  PubMed  Google Scholar 

Hosseini SM, Hoeft F, Kesler SR. GAT: a graph-theoretical analysis toolbox for analyzing between-group differences in large-scale structural and functional brain networks. PLoS One. 2012;7(7):e40709.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhang Y, Qiu T, Yuan X, et al. Abnormal topological organization of structural covariance networks in amyotrophic lateral sclerosis. NeuroImage Clinical. 2019;21:101619.

Article  PubMed  Google Scholar 

Hosseini SM, Black JM, Soriano T, et al. Topological properties of large-scale structural brain networks in children with familial risk for reading difficulties. NeuroImage. 2013;71:260–74.

Article  PubMed  Google Scholar