Central Nervous System Parasitosis and Neuroinflammation Ameliorated by Systemic IL-10 Administration in Trypanosoma brucei-Infected Mice

Peer reviewedPublisher PD

CANDI Store: An Infrastructure for Neuroimage Storage and Processing

In order to support the local data management need for neuroimaging researchers at UMass Medical School within the Child and Adolescent NeuroDevelopment Initiative (CANDI) and beyond, we have implemented a XNAT (xnat.org) instance called CANDIStore. XNAT is an open source imaging informatics platform, developed by the Neuroinformatics Research Group at Washington University. It facilitates common management, productivity, and quality assurance tasks for imaging and associated data. Located securely within the medical school firewall, CANDIStore offers a comprehensive set of image management tools. Users can be authenticated based against their UMass credentials, create private projects, manage research team access, DICOM \u27push\u27 directly to CANDIStore from the MRI imaging console, manage demographic and additional subject variables, and perform automated analysis and processing pipelines. CANDIStore is an essential adjunct to the daily operations of neuroimaging research

An assessment of the autism neuroimaging literature for the prospects of re-executability

Background: The degree of reproducibility of the neuroimaging literature in psychiatric application areas has been called into question and the issues that relate to this reproducibility are extremely complex. Some of these complexities have to do with the underlying biology of the disorders that we study and others arise due to the technology we apply to the analysis of the data we collect. Ultimately, the observations we make get communicated to the rest of the community through publications in the scientific literature. Methods: We sought to perform a ‘re-executability survey’ to evaluate the recent neuroimaging literature with an eye toward seeing if the technical aspects of our publication practices are helping or hindering the overall quest for a more reproducible understanding of brain development and aging. The topic areas examined include availability of the data, the precision of the imaging method description and the reporting of the statistical analytic approach, and the availability of the complete results. We applied the survey to 50 publications in the autism neuroimaging literature that were published between September 16, 2017 to October 1, 2018. Results: The results of the survey indicate that for the literature examined, data that is not already part of a public repository is rarely available, software tools are usually named but versions and operating system are not, it is expected that reasonably skilled analysts could approximately perform the analyses described, and the complete results of the studies are rarely available. Conclusions: We have identified that there is ample room for improvement in research publication practices. We hope exposing these issues in the retrospective literature can provide guidance and motivation for improving this aspect of our reporting practices in the future

Psychiatric Symptomatology, Mood Regulation, and Resting State Functional Connectivity of the Amygdala: Preliminary Findings in Youth With Mood Disorders and Childhood Trauma

Background: As mood dysregulation and hyperarousal are overlapping and prominent features of posttraumatic stress disorder (PTSD), and mood disorders (MD) including bipolar disorder (BD), we aimed to clarify the role of trauma and MD on the resting state functional connectivity (RSFC) of amygdala in MD youth with or without trauma exposure, and healthy controls (HC). Methods: Of 23 subjects, 21 completed the magnetic resonance imaging (MRI) protocol, 5 were excluded for subject motion, leaving final sample size of 16: nine subjects with MD (5/9 with trauma), and 7 HC. Youth were assessed with Schedule for Affective Disorders and Schizophrenia for School Aged Children-Present and Lifetime Version (K-SADS-PL), and other behavioral measures including Young Mania Rating Scale (YMRS). Imaging data were acquired using functional MRI in 3-T scanner. Imaging included T1-weighted structural MRI and 6-min resting state acquisition. Results: In between group analysis, the average correlation coefficients between left anterior cingulate cortex (Acc) and left insula cortex with left amygdala regions were significantly larger in HC compared to the patient population. Connectivity between left amygdala and left cingulate cortex shows a significant negative correlation with YMRS severity. Conclusions: In this preliminary study, MD with trauma youth had more manic symptoms and difficulties regulating anger. While MD youth showed reduced RSFC of left amygdala with left acc and left insula, no significant difference between the subgroups of children with MD was observed. However, when looking at both clinical groups together, we observed a significant correlation of RSFC of left amygdala to left acc, and YMRS scores

An ALMA Survey of M-dwarfs in the Beta Pictoris Moving Group with Two New Debris Disc Detections

Previous surveys in the far-infrared have found very few, if any, M-dwarf debris discs among their samples. It has been questioned whether M-dwarf discs are simply less common than earlier types, or whether the low detection rate derives from the wavelengths and sensitivities available to those studies. The highly sensitive, long wavelength Atacama Large Millimetre/submillimetre Array can shed light on the problem. This paper presents a survey of M-dwarf stars in the young and nearby Beta Pictoris Moving Group with ALMA at Band 7 (880\,$\mu$m). From the observational sample we detect two new sub-mm excesses that likely constitute unresolved debris discs around GJ\,2006\,A and AT\,Mic\,A and model distributions of the disc fractional luminosities and temperatures. From the science sample of 36 M-dwarfs including AU\,Mic we find a disc detection rate of 4/36 or 11.1$^{+7.4}_{-3.3}$\% that rises to 23.1$^{+8.3}_{-5.5}$\% when adjusted for completeness. We conclude that this detection rate is consistent with the detection rate of discs around G and K type stars and that the disc properties are also likely consistent with earlier type stars. We additionally conclude that M-dwarf stars are not less likely to host debris discs, but instead their detection requires longer wavelength and higher sensitivity observations than have previously been employed.Comment: Accepted to MNRA

The Role of Glutamate and GABA in Autism Spectrum Disorders: Pilot Results from a Proton Magnetic Resonance Spectroscopy Study

Objectives: To measure the levels of glutamate, a major excitatory neurotransmitter; glutamine, a metabolite of glutamate; and γ-aminobutyric acid (GABA), a major inhibitory neurotransmitter; in a pilot study of proton magnetic resonance spectroscopy (1H-MRS) findings in adolescents with Autism Spectrum Disorders (ASD). Methods: The subjects were assessed with the Autism Diagnostic Observation Schedule (ADOS), the Reading the Mind in the Eyes test (RMET) and the Social Responsiveness Scale (SRS). 1H-MRS measures of the anterior cingulate cortex were conducted using a Philips 3.0 T scanner. Results: To date, we have completed the data analysis on 18 subjects, 8 with ASD and 10 healthy control (HC) subjects. There was no significant difference between the combined glutamate + glutamine concentrations as measured by 1H-MRS (ASD = 12.0 ± 0.9 IU, HC = 11.6 ± 0.8 IU, p = 0.37). However, there was a higher than average glutamine level in the ASD group compared to healthy controls (ASD = 2.4 ± 0.2 IU, HC = 1.9 ± 0.3 IU, p = 0.01). This was accompanied by a trend toward lower GABA/Cr levels in the ASD group (ASD = 0.073 ± 0.010, HC = 0.082 ± 0.010, p = 0.06). Glutamine levels in the ACC were correlated positively with deficits of social cognition across groups (higher SRS, lower RMET scores). Those with higher glutamine levels made more errors when identifying emotions in the RMET task (r(10) = -0.77, p = 0.009), and also had more clinically significant scores on the SRS (r(10) = 0.87, p = 0.001). Conclusions: Our results present evidence that glutamine levels measured within the ACC region are higher for adolescent males with ASD than age-matched HC males, and signal that GABA levels may also be decreased in this region. These changes are correlated with deficits in social cognition

Three Measures of Tobacco Dependence Independently Predict Changes in Neural Structure

Studies have demonstrated moderate correlations between fractional anisotropy (FA, a measure of white matter organization), and Fagerström Test for Nicotine Dependence (FTND) scores in various white matter brain structures (r=-.52 to -.64). FA increases with smoking in adolescents, but in adult smokers FA declines with the progression of physical dependence. We examined correlations between FA and 3 measures of tobacco dependence: the FTND, Levels of Physical Dependence (PD), and the Hooked on Nicotine Checklist (HONC). The latter 2 measures assess only symptoms rather than behaviors, based on an assumption that a direct assessment of subjective symptoms will better reflect underlying biological conditions than behaviors that might be constrained by sociocultural factors.We compared white matter FA in 8 smokers and 10 nonsmokers and plotted the location of maximal correlation between FA and each dependence measure. FA trended higher in smokers than nonsmokers in the anterior cingulum bundle (ACb) (p=0.05). Among smokers, plots of the maximal correlation for all 3 measures fell within a circumscribed area of the left ACb, showing excellent concordance of results across measures. The maximal correlation with FA was r= -.78 for the FTND, -.85 for Levels of PD, and -.96 for the HONC (

Progressive levels of physical dependence to tobacco coincide with changes in the anterior cingulum bundle microstructure

BACKGROUND: The tobacco withdrawal syndrome indicates the development of neurophysiologic dependence. Clinical evidence indicates that neurophysiologic dependence develops through a set sequence of symptom presentation that can be assessed with a new 3-item survey measure of wanting, craving, and needing tobacco, the Level of Physical Dependence (PD). This study sought to determine if advancing neurophysiologic dependence as measured by the Level of PD correlates with characteristics of white matter structure measured by Fractional Anisotropy (FA). METHODS: Diffusion-MRI based FA and diffusion tensor imaging probabilistic tractography were used to evaluate 11 smokers and 10 nonsmokers. FA was also examined in relation to two additional measures of dependence severity, the Hooked on Nicotine Checklist (HONC), and the Fagerstrom Test for Nicotine Dependence (FTND). RESULTS: Among smokers, FA in the left anterior cingulate bundle (ACb) correlated negatively with the Level of PD (r = -0.68, p = 0.02) and HONC scores (r = -0.65, p = 0.03), but the correlation for the FTND did not reach statistical significance (r = -49, p = 0.12). With advancing Levels of PD, the density of streamlines between the ACb and precuneus increased (r = -0.67, p\u3c0.05) and those between the ACb and white matter projecting to the superior-frontal cortex (r = -0.86, p = 0.0006) decreased significantly. CONCLUSIONS: The correlations between neural structure and both the clinical Level of PD survey measure and the HONC suggest that the Level of PD and the HONC may reflect the microstructural integrity of white matter, as influenced by tobacco abuse. Given that the Level of PD is measuring a sequence of symptoms of neurophysiologic dependence that develops over time, the correlation between the Level of PD and neural structure suggests that these features might represent neuroplastic changes that develop over time to support the development of neurophysiologic dependence