MGH-USC Human Connectome Project datasets with ultra-high b-value diffusion MRI.

The MGH-USC CONNECTOM MRI scanner housed at the Massachusetts General Hospital (MGH) is a major hardware innovation of the Human Connectome Project (HCP). The 3T CONNECTOM scanner is capable of producing a magnetic field gradient of up to 300 mT/m strength for in vivo human brain imaging, which greatly shortens the time spent on diffusion encoding, and decreases the signal loss due to T2 decay. To demonstrate the capability of the novel gradient system, data of healthy adult participants were acquired for this MGH-USC Adult Diffusion Dataset (N=35), minimally preprocessed, and shared through the Laboratory of Neuro Imaging Image Data Archive (LONI IDA) and the WU-Minn Connectome Database (ConnectomeDB). Another purpose of sharing the data is to facilitate methodological studies of diffusion MRI (dMRI) analyses utilizing high diffusion contrast, which perhaps is not easily feasible with standard MR gradient system. In addition, acquisition of the MGH-Harvard-USC Lifespan Dataset is currently underway to include 120 healthy participants ranging from 8 to 90 years old, which will also be shared through LONI IDA and ConnectomeDB. Here we describe the efforts of the MGH-USC HCP consortium in acquiring and sharing the ultra-high b-value diffusion MRI data and provide a report on data preprocessing and access. We conclude with a demonstration of the example data, along with results of standard diffusion analyses, including q-ball Orientation Distribution Function (ODF) reconstruction and tractography.

Investigating the capability to resolve complex white matter structures with high b-value diffusion magnetic resonance imaging on the MGH-USC Connectom scanner.

One of the major goals of the NIH Blueprint Human Connectome Project was to map and quantify the white matter connections in the brain using diffusion tractography. Given the prevalence of complex white matter structures, the capability of resolving local white matter geometries with multiple crossings in the diffusion magnetic resonance imaging (dMRI) data is critical. Increasing b-value has been suggested for delineation of the finer details of the orientation distribution function (ODF). Although increased gradient strength and duration increase sensitivity to highly restricted intra-axonal water, gradient strength limitations require longer echo times (TE) to accommodate the increased diffusion encoding times needed to achieve a higher b-value, exponentially lowering the signal-to-noise ratio of the acquisition. To mitigate this effect, the MGH-USC Connectom scanner was built with 300 mT/m gradients, which can significantly reduce the TE of high b-value diffusion imaging. Here we report comparisons performed across b-values based on q-ball ODF metrics to investigate whether high b-value diffusion imaging on the Connectom scanner can improve resolving complex white matter structures. The q-ball ODF features became sharper as the b-value increased, with increased power fraction in higher order spherical harmonic series of the ODF and increased peak heights relative to the overall size of the ODF. Crossing structures were detected in an increasingly larger fraction of white matter voxels and the spatial distribution of two-way and three-way crossing structures was largely consistent with known anatomy. Results indicate that dMRI with high diffusion encoding on the Connectom system is a promising tool to better characterize, and ultimately understand, the underlying structural organization and motifs in the human brain.

Usefulness of preprocedural levels of advanced glycation end products to predict restenosis in patients with controlled diabetes mellitus undergoing drug-eluting stent implantation for stable angina pectoris (from the Prospective ARMYDA-AGEs Study).

Diabetes mellitus (DM) remains the main predictor of restenosis rates and cardiovascular events following successful percutaneous coronary intervention (PCI) despite the use of drug-eluting stents (DES). HbA1c <6.0% is considered an index of optimized metabolic control in patients with DM, but several studies are downsizing its role in the clinical management of these patients. Increasing evidence points at the role of advanced glycation end products (AGEs) in restenosis pathogenesis independently on Hb1AC levels. Thus, we investigated the predictive value of preprocedural AGE levels for in-stent restenosis in a population of euglycaemic diabetic patients undergoing PCI with DES implantation. One hundred twenty-five consecutive patients with DM in optimized glycemic control admitted for stable angina pectoris and treated with elective DES implantation at a tertiary hospital were prospectively included. The primary end point of the ARMYDA-AGEs study was to compare rates of angiographic ISR at 6 months after the intervention according to pre-PCI levels of AGEs. Secondary end points were the correlations of AGE levels with occurrence of periprocedural myocardial damage, major adverse cardiac events, and in-stent late loss at 6-month control coronary angiography. AGE levels >17 µM was found to be an independent predictor of ISR at 6 months and stent lumen loss. AGEs failed to predict occurrence of secondary endpoints. In conclusion, elevated AGE levels predict occurrence of in-stent restenosis after DES implantation in patients with DM on optimized glycemic control and might represent a dosable marker of adverse outcome after PCI.