Several brain areas show signal decreases during many different cognitive tasks in functional imaging studies, including the posterior cingulate cortex (PCC) and a medial frontal region incorporating portions of the medial frontal gyrus and ventral anterior cingulate cortex (MFG/vACC). It has been suggested that these areas are components in a default mode network that is engaged during rest and disengaged during cognitive tasks. This study investigated the functional connectivity between the PCC and MFG/vACC during a working memory task and at rest by examining temporal correlations in magnetic resonance signal levels between the regions. The two regions were functionally connected in both conditions. In addition, performance on the working memory task was positively correlated with the strength of this functional connection not only during the working memory task, but also at rest. Thus, it appears these regions are components of a network that may facilitate or monitor cognitive performance, rather than becoming disengaged during cognitive tasks. In addition, these data raise the possibility that the individual differences in coupling strength between these two regions at rest predict differences in cognitive abilities important for this working memory task.

At present, the diagnosis of multiple sclerosis (MS) relies heavily on the use of MRI, which can demonstrate disease dissemination in space and time [1][2][3][4] . The current 2010 McDonald criteria have enabled earlier diagnosis 5,6 and initiation of disease-modifying treatment, with substantial benefits for disease outcome 7,8 , but they still have imperfect sensitivity and specificity 9,10 . The limited accuracy of the criteria results in challenging cases and misdiagnosis, which are prevalent problems in MS 11,12 . Therefore, more-accurate and pathologically specific MRI criteria are still needed to exclude other disorders that can mimic MS 13,14 .The MRI-detectable central vein inside white matter lesions has recently been proposed as a biomarker of inflammatory demyelination and, thus, may aid the diagnosis of MS 15 . The 'central vein sign' (CVS) has been investigated in various neurological conditions by several groups, and evidence has accumulated that the CVS may have the ability to accurately differentiate MS from its mimics [15][16][17][18][19][20][21] . As a consequence, recent guidelines from the Magnetic Resonance Imaging in MS (MAGNIMS) group 1,4 and the Consortium of MS Centers (CMSC) task force 22 have acknowledged the potential of the CVS and its dedicated MRI acquisitions for the differential diagnosis of MS, while calling for further research before considering a possible modification of the diagnostic criteria. However, the lack of standardization for the definition and imaging of the CVS, as well as a dearth of large-scale prospective studies evaluating the CVS for MS diagnosis, are currently preventing the clinical validation of this potential biomarker 1,23 .This Consensus Statement aims to provide recommendations for the definition, standardization and clinical evaluation of the CVS in the diagnosis of MS. These statements are based on a thorough review of the existing literature on the CVS and the consensus opinion of the members of the North American Imaging in Multiple Sclerosis (NAIMS) Cooperative. E X P E RT C O N S E N S U S D O C U M E N T on behalf of the NAIMS CooperativeAbstract | Over the past few years, MRI has become an indispensable tool for diagnosing multiple sclerosis (MS). However, the current MRI criteria for MS diagnosis have imperfect sensitivity and specificity. The central vein sign (CVS) has recently been proposed as a novel MRI biomarker to improve the accuracy and speed of MS diagnosis. Evidence indicates that the presence of the CVS in individual lesions can accurately differentiate MS from other diseases that mimic this condition. However, the predictive value of the CVS for the development of clinical MS in patients with suspected demyelinating disease is still unknown. Moreover, the lack of standardization for the definition and imaging of the CVS currently limits its clinical implementation and validation. On the basis of a thorough review of the existing literature on the CVS and the consensus opinion of the members of the North American Imaging in Mult...

No abstract

Echo-planar imaging (EPI) can provide rapid imaging by acquiring a complete k-space data set in a single acquisition. However, this approach suffers from distortion effects in geometry and intensity, resulting in poor image quality. The distortions, caused primarily by field inhomogeneities, lead to intensity loss and voxel shifts, the latter of which are particularly severe in the phase-encode direction. Two promising approaches to correct the distortion in EPI are field mapping and point spread function (PSF) mapping. The field mapping method measures the field distortions and translates these into voxel shifts, which can be used to assign image intensities to the correct voxel locations. The PSF approach uses acquisitions with additional phaseencoding gradients applied in the x, y, and/or z directions to map the 1D, 2D, or 3D PSF of each voxel. These PSFs encode the spatial information about the distortion and the overall distribution of intensities from a single voxel. The measured image is the convolution of the undistorted density and the PSF. Measuring the PSF allows the distortion in geometry and intensity to be corrected. This work compares the efficacy of these methods with equal time allowed for field mapping and PSF mapping. Echo planar imaging (EPI) is commonly used in applications such as functional MRI (fMRI) because of the speed at which it can acquire images. However, the long echo readout time required by EPI, combined with the typically large internal magnetic field inhomogeneities caused by susceptibility differences at tissue/air and tissue/bone interfaces, results in significant geometric and intensity distortions in single-shot EPI images. The challenge of reducing these field inhomogeneity effects arises from their spatial dependence. Data from different spatial locations are corrupted to different degrees, with the amount of corruption determined by the local magnetic field environment. The measured k-space data is the supposition of k-space data from individual voxels, and since each voxel potentially requires a different correction term, applying a single correction term to the complete k-space data is not very effective.Single reference scans (1), acquired by turning off the blipped phase-encoding gradients of the EPI sequence, can reduce the N/2 ghosting. These reference scans measure the position shift in k-space caused by the field inhomogeneities, and these shifts, which are dependent upon the polarity of the readout gradient, are easily corrected with a reference scan. However, because the field inhomogeneity is position-dependent, and hence the resultant phase errors are position-dependent, a single reference scan approach cannot correct the distortion caused by field inhomogeneity. Xin et al. (2) proposed an approach incorporating a scan that uses multiple references rather than a single reference. In the multi-reference scan method, during the i th reference scan, [i -1] phase-encoding blips are played out before the readout gradient so that all the data from the i th excitati...

To achieve a comprehensive understanding of brain function requires multiple imaging modalities with complementary strengths. We present an approach for concurrent wide-field optical and functional MRI. By merging these modalities, we can simultaneously acquire whole-brain blood oxygen level-dependent (BOLD) and whole-cortex calcium-sensitive fluorescent measures of brain activity. In a transgenic murine model, we show that calcium predicts the BOLD signal, using a model that optimizes a Gamma-variant transfer function. We find consistent predictions across the cortex, which are best at low frequency (0.009–0.08Hz). Furthermore, we show that the relationship between modality connectivity strengths varies by region. Our approach links cell type- specific optical measurements of activity to the most widely used method for assessing human brain function.

Mapping of functional magnetic resonance imaging (fMRI) to conventional anatomical MRI is a valuable step in the interpretation of fMRI activations. One of the main limits on the accuracy of this alignment arises from differences in the geometric distortion induced by magnetic field inhomogeneity. This paper describes an approach to the registration of echo planar image (EPI) data to conventional anatomical images which takes into account this difference in geometric distortion. We make use of an additional spin echo EPI image and use the known signal conservation in spin echo distortion to derive a specialized multimodality nonrigid registration algorithm. We also examine a plausible modification using log-intensity evaluation of the criterion to provide increased sensitivity in areas of low EPI signal. A phantom-based imaging experiment is used to evaluate the behavior of the different criteria, comparing nonrigid displacement estimates to those provided by a imagnetic field mapping acquisition. The algorithm is then applied to a range of nine brain imaging studies illustrating global and local improvement in the anatomical alignment and localization of fMRI activations.

The point spread function is a fundamental property of magnetic resonance imaging methods that affects image quality and spatial resolution. The point spread function is difficult to measure precisely in magnetic resonance even with the use of carefully designed phantoms, and it is difficult to calculate this function for complex sequences such as echo-planar imaging. This report describes a method that measures the point spread function with high spatial resolution at each pixel in samples of uniform intensity distribution. This method uses additional phase encoding gradients before the echo-planar acquisition that are constant in length but vary in amplitude. The additional gradients are applied to image the contents within each individual voxel. This method has been used to measure the point spread function for echo-planar imaging to demonstrate the effects of limited k-space sampling and transverse relaxation, as well as the effects of object motion. By considering the displacement of the point spread function, local distortions due to susceptibility and chemical shift effects have been quantified and corrected. The method allows rapid assessment of the point spread function in echo-planar imaging, in vivo, and may also be applied to other rapid imaging sequences that can be modified to include these additional phase encoding gradients.

The importance to MR image quality of the order of acquisition of different phase-encoded views with sequences that have variable TR and TE has been recently reported. It has been shown that the effective point spread function (PSF) may be manipulated by varying TE or TR, or both, with each phase-encoding step. This paper explores the behavior of the PSF in a variable TE sequence and its dependence on both imaging and tissue parameters. It is shown that the PSF is different for each tissue type and that its effect on tissue contrast is a function of both the shape and size of the structure. The important problem of signal loss from small objects that arises when the effective PSF is broad and the difficulty in detecting this phenomenon in practical MR images is illustrated. It is shown that the PSF can produce significant blurring and loss of object contrast in fast spin-echo images but that this blurring may be not be obvious in practice because the noise is unaffected by the PSF. It is also shown that the signal from small lesions with short T2 can easily be lost through this blurring mechanism. The importance of signal loss from small objects and its implication for the clinical use of such sequences as fast spin-echo or rapid acquisition relaxation-enhanced and echo planar imaging is stressed.