Abstract:The growing interest in ultra-high field MRI, with more than 35.000 MR examinations already performed at 7 T, is related to improved clinical results with regard to morphological as well as functional and metabolic capabilities. Since the signal-to-noise ratio increases with the field strength of the MR scanner, the most evident application at 7 T is to gain higher spatial resolution in the brain compared to 3 T. Of specific clinical interest for neuro applications is the cerebral cortex at 7 T, for the detect… Show more
“…Moreover, these studies differ in regard to the field strengths used, treatment regimens, and comparison groups. Even though 7 T might exhibit superiority for fMRIstatistics for most of the brain regions [11] and provide increased spatial specificity [18], this study in concert with Fig. 4 Non-remitter failed to upregulate temporoparietal junction after treatment .…”
Functional magnetic resonance imaging (fMRI) successfully disentangled neuronal pathophysiology of major depression (MD), but only a few fMRI studies have investigated correlates and predictors of remission. Moreover, most studies have used clinical outcome parameters from two time points, which do not optimally depict differential response times. Therefore, we aimed to detect neuronal correlates of response and remission in an antidepressant treatment study with 7 T fMRI, potentially harnessing advances in detection power and spatial specificity. Moreover, we modeled outcome parameters from multiple study visits during a 12-week antidepressant fMRI study in 26 acute (aMD) patients compared to 36 stable remitted (rMD) patients and 33 healthy control subjects (HC). During an electrical painful stimulation task, significantly higher baseline activity in aMD compared to HC and rMD in the medial thalamic nuclei of the pulvinar was detected (p = 0.004, FWE-corrected), which was reduced by treatment. Moreover, clinical response followed a sigmoid function with a plateau phase in the beginning, a rapid decline and a further plateau at treatment end. By modeling the dynamic speed of response with fMRI-data, perigenual anterior cingulate activity after treatment was significantly associated with antidepressant response (p < 0.001, FWE-corrected). Temporoparietal junction (TPJ) baseline activity significantly predicted non-remission after 2 antidepressant trials (p = 0.005, FWE-corrected). The results underline the importance of the medial thalamus, attention networks in MD and antidepressant treatment. Moreover, by using a sigmoid model, this study provides a novel method to analyze the dynamic nature of response and remission for future trials.
“…Moreover, these studies differ in regard to the field strengths used, treatment regimens, and comparison groups. Even though 7 T might exhibit superiority for fMRIstatistics for most of the brain regions [11] and provide increased spatial specificity [18], this study in concert with Fig. 4 Non-remitter failed to upregulate temporoparietal junction after treatment .…”
Functional magnetic resonance imaging (fMRI) successfully disentangled neuronal pathophysiology of major depression (MD), but only a few fMRI studies have investigated correlates and predictors of remission. Moreover, most studies have used clinical outcome parameters from two time points, which do not optimally depict differential response times. Therefore, we aimed to detect neuronal correlates of response and remission in an antidepressant treatment study with 7 T fMRI, potentially harnessing advances in detection power and spatial specificity. Moreover, we modeled outcome parameters from multiple study visits during a 12-week antidepressant fMRI study in 26 acute (aMD) patients compared to 36 stable remitted (rMD) patients and 33 healthy control subjects (HC). During an electrical painful stimulation task, significantly higher baseline activity in aMD compared to HC and rMD in the medial thalamic nuclei of the pulvinar was detected (p = 0.004, FWE-corrected), which was reduced by treatment. Moreover, clinical response followed a sigmoid function with a plateau phase in the beginning, a rapid decline and a further plateau at treatment end. By modeling the dynamic speed of response with fMRI-data, perigenual anterior cingulate activity after treatment was significantly associated with antidepressant response (p < 0.001, FWE-corrected). Temporoparietal junction (TPJ) baseline activity significantly predicted non-remission after 2 antidepressant trials (p = 0.005, FWE-corrected). The results underline the importance of the medial thalamus, attention networks in MD and antidepressant treatment. Moreover, by using a sigmoid model, this study provides a novel method to analyze the dynamic nature of response and remission for future trials.
“…Compared to 7T EPVS MR imaging, the lower magnetic field strength of these scanners entails a lower detection sensitivity and a reduced signal to noise ratio. 29 However, it carries the benefit of a more homogenous radiofrequency B 1 field, a feature that is appreciated for segmenting EPVS based on pixel-wise spatial gradient. Most importantly, EPVS quantification from clinically accessible 3T MRI has a higher potential for clinical applications.…”
Background and Purpose
The limitations inherent to the current methods of diagnosing Mild Cognitive Impairment (MCI) have constrained the use of early therapeutic interventions to delay the progression of MCI to dementia. This study evaluated whether quantifying enlarged perivascular spaces (EPVS) observed on MR imaging can help us differentiate MCI from cognitively healthy controls and, thus, have an application in the diagnosis of MCI.
Methods
We automated the identification of EPVS in brain MR Images using a custom quantitative program designed with MATLAB. We then quantified EPVS densities for MCI patients (n=14) and age-matched cognitively healthy controls (n=15), and compared them to determine if EPVS density can serve as an imaging surrogate for MCI diagnosis.
Results
Quantified as a percentage of volume fraction, EPVS densities were calculated to be 2.82±0.40 v/v% for the controls and 4.17±0.57 v/v% for the MCI group in the subcortical brain (p<0.0001), and 2.74±0.57 v/v% for the controls and 3.90±0.62 v/v% for the MCI cohort in the basal ganglia (p<0.0001). Maximum intensity projections exhibited a visually conspicuous difference in the EPVS distributions for an MCI and a control patient. Using ROC curve analysis, the sensitivity and the specificity for using EPVS as a differentiating biomarker between MCI and controls were determined to be 92.86% and 93.33% respectively.
Conclusion
EPVS density was found to be significantly higher in MCI compared to age-matched healthy control subjects. EPVS density, therefore, may be a useful imaging biomarker for the diagnosis of MCI.
“…In fact, the SNR has been shown to increase at a super‐linear rate with respect to the field strength . For magnetic resonance spectroscopic imaging (MRSI), the use of higher field strength can lead to images with higher spatial resolution and spectra with higher spectral resolution …”
The aim of this work was to use post‐processing methods to improve the data quality of metabolite maps acquired on the human brain at 9.4 T with accelerated acquisition schemes. This was accomplished by combining an improved sensitivity encoding (SENSE) reconstruction with a B0 correction of spatially over‐discretized magnetic resonance spectroscopic imaging (MRSI) data.
Since MRSI scans suffer from long scan duration, investigating different acceleration techniques has recently been the focus of several studies. Due to strong B0 inhomogeneity and strict specific absorption rate (SAR) limitations at ultra‐high fields, the use of a low‐SAR sequence combined with an acceleration technique that is compatible with dynamic B0 shim updating is preferable. Hence, in this study, a non‐lipid‐suppressed ultra‐short TE and TR 1H free induction decay MRSI sequence is combined with an in‐plane SENSE acceleration technique to obtain high‐resolution metabolite maps in a clinically feasible scan time. One of the major issues in applying parallel imaging techniques to non‐lipid‐suppressed MRSI is the presence of strong lipid aliasing artifacts, which if not thoroughly resolved will hinder the accurate quantification of the metabolites of interest. To achieve a more robust reconstruction, an over‐discretized SENSE reconstruction (with direct control over the shape of the spatial response function) was combined with an over‐discretized B0 correction. This method is compared with conventional SENSE reconstruction for seven acceleration schemes on four healthy volunteers.
The over‐discretized method consistently outperformed conventional SENSE, resulting in an average of 23 ± 1.2% higher signal‐to‐noise ratio and 8 ± 2.9% less error in the fitting of the N‐acetylaspartate signal over a whole brain slice. The highest achievable acceleration factor with the proposed technique was determined to be 4. Finally, using the over‐discretized method, high‐resolution (97 μL nominal voxel size) metabolite maps can be acquired in 3.75 min at 9.4 T. This enables the acquisition of high‐resolution metabolite maps with more spatial coverage at ultra‐high fields.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.