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microbeMASST, a taxonomically informed mass spectrometry (MS) search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging a curated database of >60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns. Identification of microbe-derived metabolites and relative producers without a priori knowledge will vastly enhance the understanding of microorganisms' role in ecology and human health.

Background: Schizophrenia affects around 1% of the global population. Functional connectivity extracted from resting-state functional magnetic resonance imaging (rs-fMRI) has previously been used to study schizophrenia and has great potential to provide novel insights into the disorder. Some studies have shown abnormal functional connectivity in the default mode network (DMN) of individuals with schizophrenia, and more recent studies have shown abnormal dynamic functional connectivity (dFC) in individuals with schizophrenia. However, DMN dFC and the link between abnormal DMN dFC and symptom severity have not been well-characterized. Method: Resting-state fMRI data from subjects with schizophrenia (SZ) and healthy controls (HC) across two datasets were analyzed independently. We captured seven maximally independent subnodes in the DMN by applying group independent component analysis and estimated dFC between subnode time courses using a sliding window approach. A clustering method separated the dFCs into five reoccurring brain states. A feature selection method modeled the difference between SZs and HCs using the state-specific FC features. Finally, we used the transition probability of a hidden Markov model to characterize the link between symptom severity and dFC in SZ subjects. Results: We found decreases in the connectivity of the anterior cingulate cortex (ACC) and increases in the connectivity between the precuneus (PCu) and the posterior cingulate cortex (PCC) (i.e., PCu/PCC) of SZ subjects. In SZ, the transition probability from a state with weaker PCu/PCC and stronger ACC connectivity to a state with stronger PCu/PCC and weaker ACC connectivity increased with symptom severity. Conclusions: To our knowledge, this was the first study to investigate DMN dFC and its link to schizophrenia symptom severity. We identified reproducible neural states in a data-driven manner and demonstrated that the strength of connectivity within those states differed between SZs and HCs. Additionally, we identified a relationship between SZ symptom severity and the dynamics of DMN functional connectivity. We validated our results across two datasets. These results support the potential of dFC for use as a biomarker of schizophrenia and shed new light upon the relationship between schizophrenia and DMN dynamics.

Purpose: The purpose of this study was to identify predictors of levator veli palatini (LVP) muscle shortening and maximum contraction velocity in adults with normal anatomy. Method: Twenty-two Caucasian English-speaking adults with normal speech and resonance were recruited. Participants included 11 men and 11 women (M = 22.8 years, SD = 4.1) with normal anatomy. Static magnetic resonance images were obtained using a three-dimensional static imaging protocol. Midsagittal and oblique coronal planes were established for visualization of the velum and LVP muscle at rest. Dynamic magnetic resonance images were obtained in the oblique coronal plane during production of "ansa." Amira 6.0.1 Visualization and Volume Modeling Software and MATLAB were used to analyze images and calculate LVP shortening and maximum contraction velocity. Results: Significant predictors (p < 0.05) of maximum LVP shortening during velopharyngeal closure included mean extravelar length, LVP origin-to-origin distance, velar thickness, pharyngeal depth, and velopharyngeal ratio. Significant predictors (p < 0.05) of maximum contraction velocity during velopharyngeal closure included mean extravelar length, intravelar length, LVP origin-to-origin distance, and velar thickness. Conclusions: This study identified six velopharyngeal variables that predict LVP muscle function during real-time speech. These predictors should be considered among children and individuals with repaired cleft palate in future studies.

Background: Stroke is one of the leading causes of death in the United States. Aphasia is a language impairment which results as a consequence of stroke. Gender differences are reported in underlying mechanisms of stroke, however, gender differences in aphasia type and severity remain unclear. Aims: To examine gender differences in aphasia impairment based on data from AphasiaBank, a research repository of data obtained from studies of aphasia. Methods & Procedures: The data were collected from AphasiaBank for 294 persons with aphasia (PWA) (172 men, 122 women). Baseline comparisons by gender groups were completed using independent samples t-tests and Pearson Chi square statistics. Univariate comparisons of the total Western Aphasia Battery--Revised (WAB-R) -AQ and -R subtests' scores were compared between the two groups using independent samples t-tests. Multivariate comparisons were completed by using multivariate analysis of variance (MANOVA). Outcomes & Results: Gender differences were observed in the severity of aphasia with men exhibiting more severe aphasia than women. Analyses of WAB-R indicated greater impairment among men based on AQ and greater impairment was observed in individual subtest performance. Men exhibited statistically significantly lower WAB-R AQs than women (67.4 versus 75.6). Lower WAB-R AQs were derived from lower scores among men on individual subtests; information content, fluency, repetition, sentence completion, responsive speech and tests of comprehension (yes/no, auditory word recognition and sequential commands). Conclusions & Implications: This study offers evidence of gender differences in aphasia severity, global communication impairment and lower scores on individual subtests used to derive the WAB-R AQ. The limitations of the study with suggestions for future directions are presented.

Purpose: Stuttering is a disorder that has been associated with coexisting developmental disorders. To date, detailed descriptions of the coexistence of such conditions have not consistently emerged in the literature. Identifying and understanding these conditions can be important to the overall management of children who stutter (CWS). The objective of this study was to generate a profile of the existence of disabling developmental conditions among CWS using national data. Method: Six years of data from the National Health Interview Survey (2010-2015) were analyzed for this project. The sample consisted of children whose respondents clearly indicated the presence or absence of stuttering. Chi-square tests of independence were used for comparing categorical variables; and independent-samples t tests, for comparing continuous variables. Multiple logistic regression analyses were used for determining the odds of having a coexisting disabling developmental condition. Results: This study sample included 62,450 children, of which 1,231 were CWS. Overall, the presence of at least 1 disabling developmental condition was 5.5 times higher in CWS when compared with children who do not stutter. The presence of stuttering was also associated with higher odds of each of the following coexisting developmental conditions: intellectual disability (odds ratio [OR] = 6.67, p < 0.001), learning disability (OR = 5.45, p < 0.001), attention-deficit hyperactivity disorder/attention-deficit disorder (OR = 3.09, p < 0.001), seizures (OR = 7.52, p < 0.001), autism/Asperger's/pervasive developmental disorder (OR = 5.48, p < 0.001), and any other developmental delay (OR = 7.10, p < .001). Conclusion: Evidence from the National Health Interview Survey suggests a higher prevalence of coexisting developmental disabilities in CWS. The existence of coexisting disabling developmental conditions should be considered as part of an overall management plan for CWS.