| Literature DB >> 33051605 |
Raffaello Bonacchi1,2, Maria A Rocca1,2, Giuseppe A Ramirez3,4, Enrica P Bozzolo5, Valentina Canti4, Paolo Preziosa1,2, Paola Valsasina1, Gianna C Riccitelli1, Alessandro Meani1, Lucia Moiola2, Patrizia Rovere-Querini3,4, Angelo A Manfredi3,4, Massimo Filippi6,7,8,9.
Abstract
Neuropsychiatric manifestations are highly prevalent in systemic lupus erythematosus (SLE)-patients. We aimed to unravel the substrates of these manifestations by investigating abnormalities of resting state (RS) functional connectivity (FC) and their correlations with neuropsychiatric variables in SLE-patients. Thirty-two SLE-patients and 32 age- and sex-matched healthy controls (HC) underwent brain 3T RS fMRI. Neuropsychological assessment was performed for all SLE-patients. The main large-scale cognitive and psychiatric functional networks were derived and between-group comparisons and correlations with neuropsychological measures were performed. Compared to HC, SLE-patients exhibited increased RS FC in the right middle cingulate cortex and decreased RS FC in the left precuneus within default-mode network (DMN). They also showed increased RS FC in the left cerebellar crus I and left posterior cingulate cortex, and decreased RS FC in the left angular gyrus within working-memory networks (WMN). Compared to HC, SLE-patients exhibited increased RS FC in the left insular cortex and decreased RS FC in the right anterior cingulate cortex within salience network (SN), as well as decreased RS FC in the right middle frontal gyrus within executive-control network (ECN). Correlation analysis indicated a maladaptive role for left angular gyrus and cerebellar RS FC abnormalities in WMN, affecting memory and executive functions; and for precuneus and insular abnormalities in DMN and SN for psychiatric symptoms. Cingulate cortex modifications within DMN and SN correlated with better memory and global cognitive performance. Significant RS FC alterations in relevant cognitive and psychiatric networks occur in SLE-patients and participate in the pathophysiology of neuropsychiatric symptoms.Entities:
Mesh:
Year: 2020 PMID: 33051605 DOI: 10.1038/s41380-020-00907-z
Source DB: PubMed Journal: Mol Psychiatry ISSN: 1359-4184 Impact factor: 15.992