The limbic system plays an important role in the emotion- and memory-related brain functions. In this study, we measured R2* and the volumes of the key elements of the limbic system and used them to detect abnormalities in the limbic system in multiple sclerosis (MS). The results showed significant differences between Secondary Progressive MS (SPMS) and healthy group. R2* of amygdala, thalamus, insula, lateral orbitofrontal and isthmus cingulate significantly correlate with clinical cognitive tests in female SPMS. Our results also showed that R2*-defined tissue alterations in the hippocampus and entorhinal cortex could identify depression behavior in MS patients.
MRI scans were collected from 32 Relapsing-Remitting (RR), 16 Primary-Progressive (PP), and 32 Secondary-Progressive (SP) MS patients, as well as 26 healthy-controls (HC). All studies were approved by the local IRB. All subjects provided informed consent. All MRI scans were collected using a 3T SIEMENS scanner equipped with a 32-channel phased array head coil. High resolution (voxel size: $$$1\times 1\times 2mm^{3}$$$) Gradient Echo Plural Contrast Imaging (GEPCI)1-3 datasets were acquired using a 3D multi-gradient-echo sequence. R2* maps were calculated using a mono-exponential model. MPRAGE images (voxel size: $$$1\times 1\times 1mm^{3}$$$) were collected for segmentation using “FreeSurfer”. R2* median values were calculated in each brain regions, as described previously4. In this study, we are specifically interested in the limbic system, which includes hippocampus, amygdala, thalamus and the limbic cortex. Volumes of each brain structure were obtained from “FreeSurfer” segmentations and were normalized to skull size using “sienax” tool in “FSL” to get normalized volume (NV).
Expanded Disability Status Scale (EDSS), Timed 25-Foot Walk (25FTW), 9-Hole Peg Test (9HPT), Paced Auditory Serial Addition Test (PASAT) and Symbol Digit Modalities Test (SDMT) were performed on each MS patient. Beck Depression Inventory (BDI) scores were collected from 29 MS patients. All testing was performed on the same day as MRI, by experience examiners without knowledge of the imaging results.
Statistical analysis were done in the statistical program R. ANCOVA for repeated measures with Bonferroni correction and participants’ age as additional covariate were used to compare group differences. Partial correlation controlled for participants’ age was examined between R2*, NV and clinical scores. False Discovery Rate (FDR) was used to correct for multiple comparisons in the group comparison and correlation analysis. All p-values smaller than 0.05 were considered as statistical significant.
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