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Characterization of functional brain activity and connectivity using EEG and fMRI in patients with sickle cell disease.
- Source :
-
NeuroImage. Clinical [Neuroimage Clin] 2016 Dec 26; Vol. 14, pp. 1-17. Date of Electronic Publication: 2016 Dec 26 (Print Publication: 2017). - Publication Year :
- 2016
-
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.
- Subjects :
- Adolescent
Adult
Analgesics therapeutic use
Anemia, Sickle Cell drug therapy
Brain drug effects
Brain Mapping
Electroencephalography methods
Female
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging methods
Male
Oxygen blood
Pain Measurement
Young Adult
Anemia, Sickle Cell diagnostic imaging
Anemia, Sickle Cell physiopathology
Brain diagnostic imaging
Brain physiopathology
Neural Pathways diagnostic imaging
Neural Pathways physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 2213-1582
- Volume :
- 14
- Database :
- MEDLINE
- Journal :
- NeuroImage. Clinical
- Publication Type :
- Academic Journal
- Accession number :
- 28116239
- Full Text :
- https://doi.org/10.1016/j.nicl.2016.12.024