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Purpose:To correct eddy-current artifacts in diffusion tensor (DT) images without the need to obtain auxiliary scans for the sole purpose of correction. Materials and Methods:DT images are susceptible to distortions caused by eddy currents induced by large diffusion gradients. We propose a new postacquisition correction algorithm that does not require any auxiliary reference scans. It also avoids the problematic procedure of cross-correlating images with significantly different contrasts. A linear model is used to describe the dependence of distortion parameters (translation, scaling, and shear) on the diffusion gradients. The model is solved numerically to provide an individual correction for every diffusion-weighted (DW) image. Results:The assumptions of the linear model were successfully verified in a series of experiments on a silicon oil phantom. The correction obtained for this phantom was compared with correction obtained by a previously published method. The algorithm was then shown to markedly reduce eddycurrent distortions in DT images from human subjects. Conclusion:The proposed algorithm can accurately correct eddy-current artifacts in DT images. Its principal advantages are that only images with comparable signals and contrasts are cross-correlated, and no additional scans are required.

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This study employed functional magnetic resonance imaging to examine the functional neuroanatomy of the hippocampus and head of the caudate nucleus during 2 different types of memory tasks in a sample of 9 early adolescent children who were born preterm (neonatal intensive care unit [NICU] sample) and a group of 9 age-matched control children who were born at term. The investigation employed delayed match to sample (DMS), delayed nonmatch to sample (DNMS), and spatial memory span tasks, as well as 2 analogous perceptuomotor tasks that placed no demands on memory. The general question examined was whether preterm children show different levels of hippocampal and caudate activation during these tasks when compared to children born at term. The findings indicated that the 2 groups did not differ in functional activation of the hippocampus during the DMS and DNMS tasks. During the encoding phase of the spatial memory span task, the DMS perceptuomotor task, and the spatial memory span perceptuomotor task, the NICU sample showed greater activation change in the right caudate nucleus, and less right caudate activation change during the test phase. During the spatial span perceptuomotor task, the preterm group showed reduced activation change in the left caudate nucleus during both the encoding and test phase. Also, during the DMS perceptuomotor task, the NICU group showed increased activation change in the left caudate nucleus during encoding and decreased activation change at test. The implications of these findings for understanding the functional neuroanatomy of memory deficits are discussed, as is the potential for distinguishing the effects of neural plasticity from those of typical brain maturational processes.

The delayed matching-to-sample (DMS) and delayed nonmatching-to-sample (DNMS) memory tasks are standard tools used to probe visual recognition memory in human and nonhuman primates. Previous research indicates that structures within the medial temporal lobe, including the hippocampus, make up a crucial memory circuit for successful performance on these tasks. In the present investigation, event-related functional magnetic resonance imaging was used to examine activation in the hippocampus proper during these memory tasks relative to a perceptuomotor task involving the same stimuli. The results indicate that both memory tasks elicited greater activation in the right hippocampus during the encoding phase. These findings are consistent with the work from human patients and animal studies, indicating hippocampal involvement in the DMS and DNMS tasks.

The thermodynamic properties of hcp-iron (ε-Fe) are essential for investigating planetary cores' internal structure and dynamic properties. Despite their importance to planetary sciences, experimental investigations of ε-Fe at relevant conditions are still challenging. Therefore, ab initio calculations are crucial to elucidating the thermodynamic properties of this system. Here we use a free energy calculation scheme based on the phonon gas model compatible with temperaturedependent phonon frequencies. We investigate the effects of electronic thermal excitations, which introduces a temperature dependence on phonon frequencies, and the implication for the thermodynamic properties of ε-Fe at extreme pressure (P) and temperature (T) conditions. We disregard phonon-phonon interactions, i.e., anharmonicity and their effect on phonon frequencies. Nevertheless, the current scheme is also applicable to T-dependent anharmonic frequencies. We conclude that the impact of thermal electronic excitations on vibrational properties is not significant up to ~ 4,000 K at 200 GPa but should not be ignored at higher temperatures or pressures. However, the static free energy, Fst, must always include the effect of thermal excitation fully in a continuum of Ts. Our results for isentropic equations of state show good agreement with data from recent ramp compression experiments up to 1,400 GPa conducted at the National Ignition Facility (NIF).

In this fMRI study, we explore the connectivity among brain regions in a shape-from-motion task using the causal mapping analysis of Structural Equation Modeling (SEM). An important distinction of our approach is that we have adapted SEM from its traditional role in confirmatory analysis to provide utility as an exploratory mapping technique. Our current approaches include (I) detecting brain regions that fit well in a hypothesized neural network model, and (II) identifying the best connectivity model at each brain region. We demonstrate that SEM effectively detects the dorsal and ventral visual pathways from the covariance structure in fMRI data, confirming previous neuroscience results. Further, our SEM mapping methodology found that the two pathways interact through specific cortical areas such as the superior lateral occipital cortex in the perception of shape from motion.

We present LDA+Usc calculations of high-spin (HS) and low-spin (LS) states in ferropericlase (fp) with an iron concentration of 18.75%. The Hubbard parameter U is determined self-consistently with structures optimized at arbitrary pressures. We confirm a strong dependence of U on the pressure and spin state. Static calculations confirm that the antiferromagnetic configuration is more stable than the ferromagnetic one in the HS state, consistent with low-temperature measurements. Phonon calculations guarantee the dynamical stability of HS and LS states throughout the pressure range of the Earth mantle. Compression curves for HS and LS states agree well with experiments. Using a non-ideal mixing model for the HS to LS states solid solution, we obtain a crossover starting at ~45 GPa at room temperature and considerably broader than previous results. The spin-crossover phase diagram is calculated, including vibrational, magnetic, electronic, and non-ideal HS-LS entropic contributions. Our results suggest the mixed-spin state predominates in fp in most of the lower mantle.