Working memory (WM) is one of the key constructs in understanding higher-level cognition. We examined whether patterns of activity in the resting state in individual subjects are correlated with their off-line working and short-term memory capabilities. Participants completed a resting-state fMRI scan and offline working and short-term memory (STM) tests with both verbal and visual materials. We calculated fractional amplitude of low frequency fluctuations (fALFF) from the resting state data, and also computed connectivity between seeds placed in frontal and parietal lobes. Correlating fALFF values with behavioral measures showed that the fALFF values in a widespread fronto-parietal network during rest were positively correlated with a combined memory measure. In addition, STM showed a significant correlation with fALFF within the right angular gyrus and left middle occipital gyrus, whereas WM was correlated with fALFF values within the right IPS and left dorsomedial cerebellar cortex. Furthermore, verbal and visuospatial memory capacities were associated with dissociable patterns of low-frequency fluctuations. Seed-based connectivity showed correlations with the verbal WM measure in the left hemisphere, and with the visual WM in the right hemisphere. These findings contribute to our understanding of how differences in spontaneous low-frequency fluctuations at rest are correlated with differences in cognitive performance.

Description Electronic health records (EHRs) are an excellent source for secondary data analysis. Studies based on EHR-derived data, if designed properly, can answer previously unanswerable clinical research questions. In this paper we will highlight the benefits of large retrospective studies from secondary sources such as EHRs, examine retrospective cohort and case-control study design challenges, as well as methodological and statistical adjustment that can be made to overcome some of the inherent design limitations, in order to increase the generalizability, validity and reliability of the results obtained from these studies.

To develop a survey instrument that: 1) investigates the dynamics of collaboration in multidisciplinary care units such as labor and delivery (L&D); and (2) uniquely determines the collaborative relationships between nurses and resident physicians. BACKGROUND: An effective interprofessional collaboration between healthcare providers is considered a critical component in delivering high-quality care to patients and lies at the root of ensuring positive patient outcomes. METHODS: Two samples of responses (n = 98) were collected from L&D nurses working in 2 hospitals: 1 with novel obstetrics and gynecology (OB/GYN) residency program and 1 with legacy OB/GYN residency program. Descriptive statistics and reliability statistics (Cronbach's α and item-total correlations) were calculated for each sample.

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