title: Characterization of functional brain activity and connectivity using EEG and fMRI in patients with sickle cell disease.
abstract: Sickle cell disease (SCD) is a red blood cell disorder that causes many complications including life-long pain. Treatment of pain remains challenging due to a poor understanding of the mechanisms and limitations to characterize and quantify pain. In the present study, we examined simultaneously recording functional MRI (fMRI) and electroencephalogram (EEG) to better understand neural connectivity as a consequence of chronic pain in SCD patients. We performed independent component analysis and seed-based connectivity on fMRI data. Spontaneous power and microstate analysis was performed on EEG-fMRI data. ICA analysis showed that patients lacked activity in the default mode network (DMN) and executive control network compared to controls. EEG-fMRI data revealed that the insula cortex's role in salience increases with age in patients. EEG microstate analysis showed patients had increased activity in pain processing regions. The cerebellum in patients showed a stronger connection to the periaqueductal gray matter (involved in pain inhibition), and negative connections to pain processing areas. These results suggest that patients have reduced activity of DMN and increased activity in pain processing regions during rest. The present findings suggest resting state connectivity differences between patients and controls can be used as novel biomarkers of SCD pain.
authors.affiliation: Department of Biomedical Engineering, University of Minnesota, USA.
authors.forename: Michelle
authors.initials: M
authors.lastname: Case
authors.affiliation: Department of Biomedical Engineering, University of Minnesota, USA.
authors.forename: Huishi
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Department of Biomedical Engineering, University of Minnesota, USA.
authors.forename: John
authors.initials: J
authors.lastname: Mundahl
authors.affiliation: Department of Medicine, University of Minnesota, USA.
authors.forename: Yvonne
authors.initials: Y
authors.lastname: Datta
authors.affiliation: Children's Hospitals and Clinics of Minnesota, MN, USA.
authors.forename: Stephen
authors.initials: S
authors.lastname: Nelson
authors.affiliation: Department of Medicine, University of Minnesota, USA.
authors.forename: Kalpna
authors.initials: K
authors.lastname: Gupta
authors.affiliation: Department of Biomedical Engineering, University of Minnesota, USA; Institute for Engineering in Medicine, University of Minnesota, USA.
authors.forename: Bin
authors.initials: B
authors.lastname: He
mesh_terms: D000293:Adolescent; D000328:Adult; D000700:Analgesics / Q000627:therapeutic use; D000755:Anemia, Sickle Cell / Q000000981:diagnostic imaging* / Q000188:drug therapy / Q000503:physiopathology*; D001921:Brain / Q000000981:diagnostic imaging* / Q000187:drug effects / Q000503:physiopathology*; D001931:Brain Mapping; D004569:Electroencephalography / Q000379:methods; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D009434:Neural Pathways / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D010100:Oxygen / Q000097:blood; D010147:Pain Measurement; D055815:Young Adult
chemical_list: D000700:Analgesics; D010100:Oxygen
keywords: BOLD, blood-oxygen-level dependent; CBA, cardioballistic artifact; DMN, default mode network; ECN, executive control network; EEG; EEG, electroencephalography; FDR, false discovery rate; FWHM, full width at half maximum; Functional MRI; GLM, general linear model; HRF, hemodynamic response function; ICA, independent component analysis; MNI, montreal neurological institute; OBS, optimal basis set; PAG, periaqueductal gray; PCA, principal component analysis; PCC, posterior cingulate cortex; PFC, prefrontal cortex; Pain; ROI, region of interest; RSN, resting state networks; Resting state networks; SCD, sickle cell disease; SMA, supplementary motor area; Sickle cell disease; fMRI, functional magnetic resonance imaging