We examine how security behavior is affected by dual-task interference (DTI), a cognitive limitation in which even simple tasks cannot be simultaneously performed without significant performance loss. We find that security messages that interrupt users actually make users more vulnerable by increasing security message disregard—behaving against the recommended course of action of a security mes...

During the past few years, The Journal of Neuroscience has published more than 30 articles that describe investigations that used Diffusion Tensor Imaging (DTI) and related techniques as a primary observation method. This illustrates a growing interest in DTI within the basic and clinical neuroscience communities. This article summarizes DTI methodology in terms that can be immediately understo...

We present an advanced software tool designed for visualization and quantitative analysis of Diffusion Tensor Imaging (DTI) called Saturn. The software is specially developed to help clinicians and researchers in neuroimaging, and includes a complete set of visualization capabilities to browse and analyze efficiently DTI data, making this application a powerful tool also for diagnosis purposes....

Introduction In neuroscience research, mouse models have played important roles in advancing our knowledge of the brain and its diseases. To study mouse neuroanatomy, especially changes in neuroanatomy caused by genetic mutation or pathology, novel imaging tools are necessary. Diffusion tensor imaging (DTI) is a good candidate because it can visualize white matter (WM) structures in the brain, ...

Diffusion tensor magnetic resonance imaging (DTI) is useful for studying the microstructural changes in the spinal cord following traumatic injury; however, image quality is generally poor due to the small size of the spinal cord, physiological motion and susceptibility artifacts. Self-navigated, interleaved, variable-density spiral diffusion tensor imaging (SNAILS-DTI) is a distinctive pulse s...

A growing body of literature addresses the application of diffusion tensor imaging (DTI) to traumatic brain injury (TBI). Most TBIs are of mild severity, and their diagnosis and prognosis are often challenging. These challenges may be exacerbated in medicolegal contexts, where plaintiffs seek to present objective evidence that supports a clinical diagnosis of mild (m)TBI. Because DTI permits qu...

Voxel-based analysis (VBA) of diffusion tensor images (DTI) and voxel-based morphometry (VBM) in patients with multiple sclerosis (MS) can sensitively detect occult tissue damage that underlies pathological changes in the brain. In the present study, both at the start of fingolimod and post-four months clinical remission, we assessed four patients with MS who were evaluated with VBA of DTI, VBM...

Abstract Background Complex facial pain is a debilitating condition with varying etiologies that overall responds poorly to both medical and traditional surgical management. Cortical stimulation unique therapeutic intervention which can be effective for some types of complex syndromes (CFPS). However, the novel use preoperative functional magnetic resonance imaging (fMRI) diffusion tensor (DTI)...

Diffusion tensor imaging (DTI) is an important modality to study white matter structure in brain images and voxel-based group-wise statistical analysis of DTI is an integral component in most biomedical applications of DTI. Voxel-based DTI analysis should ideally satisfy two desiderata: (1) it should obtain a good characterization of the statistical distribution of the tensors under considerati...

Diffusion tensor imaging (DTI) is widely used to non-invasively study neural tissue micro-structure. While DTI tractography of large nerve fibers is well accepted, visualization of smaller fibers and resolution of branching fibers is challenging. Sensitivity of DTI to diffusion anisotropy can be further enhanced using long diffusion time that can provide a more accurate representation of the ti...