Faculty Bibliography

Background: Alzheimer's disease (AD) has been shown to be associated with shrinkage of the corpus callosum mid-sagittal cross-sectional area (CCA). Objective: To study temporal rates of corpus callosum atrophy not previously reported for early AD. Methods: We used longitudinal MRI scans to study the rates of change of CCA and circularity (CIR), a measure of its shape, in normal controls (NC, n = 75), patients with very mild AD (AD-VM, n = 51), and mild AD (AD-M, n = 21). Results: There were significant reduction rates in CCA and CIR in all three groups. While CCA reduction rates were not statistically different between groups, the CIR declined faster in AD-VM (p < 0.03) and AD-M (p < 0.0001) relative to NC, and in AD-M relative to AD-VM (p < 0.0004). Conclusion: CIR declines at an accelerated rate with AD severity. Its rate of change is more closely associated with AD progression than CCA or any of its sub-regions. CIR may be a useful group biomarker for objective assessment of treatments that aim to slow AD progression.

Much remains to be learned about typical and individual growth trajectories across treatment for adolescent panic disorder with and without agoraphobia and about critical treatment points associated with key changes. The present study examined the rate and shape of change across an 8-day intensive cognitive behavioral therapy for adolescent panic disorder with and without agoraphobia (N = 56). Participants ranged in age from 12 to 17 (M = 15.14, SD = 1.70; 58.9% female, 78.6% Caucasian). Multilevel modeling evaluated within-treatment linear and nonlinear changes across three treatment outcomes: panic severity, fear, and avoidance. Overall panic severity showed linear change, decreasing throughout treatment. In contrast, fear and avoidance ratings both showed cubic change, peaking slightly at the first session of treatment, starting to decrease at the second session of treatment, and with large gains continuing then plateauing at the fourth session. Findings are considered with regard to the extent to which they may elucidate critical treatment components and sessions for adolescents with panic disorder with and without agoraphobia.

Automated segmenting and labeling of individual brain anatomical regions, in MRI are challenging, due to the issue of individual structural variability. Although atlas-based segmentation has shown its potential for both tissue and structure segmentation, due to the inherent natural variability as well as disease-related changes in MR appearance, a single atlas image is often inappropriate to represent the full population of datasets processed in a given neuroimaging study. As an alternative for the case of single atlas segmentation, the use of multiple atlases alongside label fusion techniques has been introduced using a set of individual "atlases" that encompasses the expected variability in the studied population. In our study, we proposed a multi-atlas segmentation scheme with a novel graph-based atlas selection technique. We first paired and co-registered all atlases and the subject MR scans. A directed graph with edge weights based on intensity and shape similarity between all MR scans is then computed. The set of neighboring templates is selected via clustering of the graph. Finally, weighted majority voting is employed to create the final segmentation over the selected atlases. This multi-atlas segmentation scheme is used to extend a single-atlas-based segmentation toolkit entitled AutoSeg, which is an open-source, extensible C++ based software pipeline employing BatchMake for its pipeline scripting, developed at the Neuro Image Research and Analysis Laboratories of the University of North Carolina at Chapel Hill. AutoSeg performs N4 intensity inhomogeneity correction, rigid registration to a common template space, automated brain tissue classification based skull-stripping, and the multi-atlas segmentation. The multi-atlas-based AutoSeg has been evaluated on subcortical structure segmentation with a testing dataset of 20 adult brain MRI scans and 15 atlas MRI scans. The AutoSeg achieved mean Dice coefficients of 81.73% for the subcortical structures.

In the last decade, diffusion MRI (dMRI) studies of the human and animal brain have been used to investigate a multitude of pathologies and drug-related effects in neuroscience research. Study after study identifies white matter (WM) degeneration as a crucial biomarker for all these diseases. The tool of choice for studying WM is dMRI. However, dMRI has inherently low signal-to-noise ratio and its acquisition requires a relatively long scan time; in fact, the high loads required occasionally stress scanner hardware past the point of physical failure. As a result, many types of artifacts implicate the quality of diffusion imagery. Using these complex scans containing artifacts without quality control (QC) can result in considerable error and bias in the subsequent analysis, negatively affecting the results of research studies using them. However, dMRI QC remains an under-recognized issue in the dMRI community as there are no user-friendly tools commonly available to comprehensively address the issue of dMRI QC. As a result, current dMRI studies often perform a poor job at dMRI QC. Thorough QC of dMRI will reduce measurement noise and improve reproducibility, and sensitivity in neuroimaging studies; this will allow researchers to more fully exploit the power of the dMRI technique and will ultimately advance neuroscience. Therefore, in this manuscript, we present our open-source software, DTIPrep, as a unified, user friendly platform for thorough QC of dMRI data. These include artifacts caused by eddy-currents, head motion, bed vibration and pulsation, venetian blind artifacts, as well as slice-wise and gradient-wise intensity inconsistencies. This paper summarizes a basic set of features of DTIPrep described earlier and focuses on newly added capabilities related to directional artifacts and bias analysis.

In many systems, sleep plays a vital role in memory consolidation and synaptic homeostasis. These processes together help store information of biological significance and reset synaptic circuits to facilitate acquisition of information in the future. In this review, we describe recent evidence of sleep-dependent changes in olfactory system structure and function which contribute to odor memory and perception. During slow-wave sleep, the piriform cortex becomes hypo-responsive to odor stimulation and instead displays sharp-wave activity similar to that observed within the hippocampal formation. Furthermore, the functional connectivity between the piriform cortex and other cortical and limbic regions is enhanced during slow-wave sleep compared to waking. This combination of conditions may allow odor memory consolidation to occur during a state of reduced external interference and facilitate association of odor memories with stored hedonic and contextual cues. Evidence consistent with sleep-dependent odor replay within olfactory cortical circuits is presented. These data suggest that both the strength and precision of odor memories is sleep-dependent. The work further emphasizes the critical role of synaptic plasticity and memory in not only odor memory but also basic odor perception. The work also suggests a possible link between sleep disturbances that are frequently co-morbid with a wide range of pathologies including Alzheimer's disease, schizophrenia and depression and the known olfactory impairments associated with those disorders.

Reviews the book, Reading Anna Freud by Nick Midgley (see record 2012-32286-000). Reading Anna Freud is less a work of criticism than a work of orientation, and doubly valuable as such. First, because of the Freud family fame, one sometimes presumes one knows more about them than one really does (indeed, a misplaced presumption of familiarity is at the core of so much of the popular contempt hurled Sigmund's way). Second, orienting yourself to Anna Freud is a way of orienting yourself to child mental health: from how we speak to children and the role of schools in a child's psychological health to developmental psychopathology and the consultation-liaison service. What comes through in Reading Anna Freud is that the core of Freud's success was not just patient, compassionate intellectualism, genes, or an ability to get published, but advocacy. Moreover, you do not need a degree or an internal review board to be an advocate. In fact, it is in this regard that she is most inspiring. Although the book provides a historical and personal orientation, it is intended as an orientation to Freud's intellectual contributions, and Midgely does an excellent job translating her work, some of it nearly a century old, into a language that is still alive, relevant, and enriching.

The future of the textbook as we know it is in doubt. Knowledge is being shuttled into the virtual world, where it is collaborative, linked, multimedia, and transnational. The iterative nature of knowledge never fit comfortably with textbooks. They have always been notoriously out of date by the time they roll off the press. Nevertheless, there remains something comforting in the textbook's authoritative heft, which is lost not only in the vapor-thin flicker of Web pages but also in the suspicion with which we approach anything online, knowing full well that the provenance is dubious. Sock puppetry is not just a children's craft anymore; it's a modern form of authorship. Of course, textbooks have value as a corpus of knowledge that is not constantly changing; as a way of studying a topic without being distracted by the rabbit holes of the Internet; and as a backup: all knowledge will not be lost in a blackout. What the future of the textbook means for expert knowledge is unclear. How can hardcover and paperback textbooks carve out a place in tomorrow's society? One answer may be to look back.

This article reviews the progression of a research program designed to develop, implement, and study the implementation of "achievable" evidence-based practices (EBPs) in schools. We review challenges encountered and ideas to overcome them to enhance this avenue of research. The article presents two federally funded randomized controlled trials involving comparison of a four-component targeted intervention (Quality Assessment and Improvement, Family Engagement and Empowerment, Modular Evidence-Based Practice, Implementation Support) versus a comparison intervention focused on personal wellness. In both studies, primary aims focused on changes in clinician attitudes and behavior, including the delivery of high-quality EBPs and secondary aims focused on student-level impacts. A number of challenges, many not reported in the literature, are reviewed, and ideas for overcoming them are presented. Given the reality that the majority of youth mental health services are delivered in schools and the potential of school mental health services to provide a continuum of mental health care from promotion to intervention, it is critical that the field consider and address the logistical and methodological challenges associated with implementing and studying EBP implementation by clinicians.