Diffusion tensor imaging (DTI) and resting state temporal correlations (RSTC) are two leading techniques for investigating the connectivity of the human brain. They have been widely used to investigate the strength of anatomical and functional connections between distant brain regions in healthy subjects, and in clinical populations. Though they are both based on magnetic resonance imaging (MRI) they have not yet been compared directly. In this work both techniques were employed to create global connectivity matrices covering the whole brain gray matter. This allowed for direct comparisons between functional connectivity measured by RSTC with anatomical connectivity quantified using DTI tractography. We found that connectivity matrices obtained using both techniques showed significant agreement. Connectivity maps created for a priori defined anatomical regions showed significant correlation, and furthermore agreement was especially high in regions showing strong overall connectivity, such as those belonging to the default mode network. Direct comparison between functional RSTC and anatomical DTI connectivity, presented here for the first time, links two powerful approaches for investigating brain connectivity and shows their strong agreement. It provides a crucial multi-modal validation for resting state correlations as representing neuronal connectivity. The combination of both techniques presented here allows for further combining them to provide richer representation of brain connectivity both in the healthy brain and in clinical conditions.

Background Schizophrenia is hypothesized to involve disordered connectivity between brain regions. Currently, there are no direct measures of brain connectivity; functional and structural connectivity used separately provide only limited insight. Simultaneous measure of anatomical and functional connectivity and its interactions allow for better understanding of schizophrenia-related alternations in brain connectivity. Methods 27 schizophrenia patients and 27 healthy controls undergone MRI imaging using resting state fMRI and Diffusion Tensor Imaging. Separate functional and anatomical connectivity maps were calculated and combined for each subject. Global, regional and voxel measures and K-means network analysis were employed to identify group differences and correlation with clinical symptoms. Results A global connectivity analysis indicated that patients had lower anatomical connectivity and lower coherence between the two imaging modalities. In schizophrenia these group differences correlated with clinical symptom severity. While anatomical connectivity nearly uniformly decreased, functional connectivity in schizophrenia was lower for some connections (e.g. middle temporal gyrus) and higher for others (e.g. cingulate and thalamus). Within the Default Mode Network (DMN) two separate subsystems can be identified. Schizophrenia patients showed decoupling between structural and functional connectivity that can be localized to networks originating in Posterior Cingulate Cortex as well as in the Task Positive Network and one of DMN components. Conclusions Combining two measures of brain connectivity provides more comprehensive descriptions of altered brain connectivity underlying schizophrenia. Patients show deficits in white matter anatomy but functional connectivity alterations are more complex. Fusion of both methods allows identification of subsystems showing both increased and decreased functional connectivity.

In July 2015, the Journal of the American Geriatrics Society published a manuscript titled, “Failing to Focus on Healthy Aging: A Frailty of Our Discipline?” In response, the American Geriatrics Society (AGS) Clinical Practice and Models of Care Committee and Public Education Committee developed a white paper calling on the AGS and its members to play a more active role in promoting healthy aging. The executive summary presented here summarizes the recommendations from that white paper. The full version is published online at http://GeriatricsCareOnline.org. Life expectancy has increased dramatically over the last century. Longer life provides opportunity for personal fulfillment and contributions to community but is often associated with illness, discomfort, disability, and dependency at the end of life. Geriatrics has focused on optimizing function and quality of life as we age and reducing morbidity and frailty, but there is evidence of earlier onset of chronic disease that is likely to affect the health of future generations of older adults. The AGS is committed to promoting the health, independence, and engagement of all older adults as they age. Geriatrics as an interprofessional specialty is well positioned to promote healthy aging. We draw from decades of accumulated knowledge, skills, and experience in areas that are central to geriatric medicine, including expertise in complexity and the biopsychosocial model; attention to function and quality of life; the ability to provide culturally competent, person‐centered care; the ability to assess people's preferences and values; and understanding the importance of systems in optimizing outcomes. J Am Geriatr Soc 67:17–20, 2019.

Patients with dementia and their caregivers need ongoing educational and psychosocial support to manage their complex diagnosis. This mixed methods study evaluated the impact of a memory clinic with an embedded dementia navigator on the experiences and health outcomes of patients with dementia and their caregivers. At the 12-month follow-up, patients receiving memory clinic services ( n = 238) had higher emergency department visits than a matched cohort with dementia ( n = 938), although hospitalizations did not differ. Patient quality of life and caregiver burden scores also did not differ between baseline and 12-months. Interviews revealed that caregivers ( n = 12) valued the educational and social support components of the memory clinic and perceived that the clinic had a positive impact on their experiences. Findings suggest that this embedded navigator model is useful for addressing caregiver needs and may have potential to stem increases in caregiver burden and patient quality of life that occur with disease progression.

Background: Inpatient palliative care consultation (PCC) may reduce 30-day readmissions and inpatient mortality among seriously ill patients. Objective: To evaluate the impact of timing of PCC on 30-day readmissions and inpatient mortality. Design: Retrospective, observational study comparing risk-adjusted, observed-to-expected (O/E) 30-day readmissions and inpatient mortality among patients receiving inpatient PCC to all other inpatients. Setting/Subjects: Adult patients with hospital length of stay (LOS) <30 days, primary diagnoses of circulatory, infectious, respiratory, neoplasms, injury/poisoning, and digestive system were included from eight hospitals in a single health care system. Results: Compared with non-PCC patients (n = 43,463), PCC patients (n = 6043) had a greater proportion of African Americans, Medicare, LOS ‡7 days, intensive care unit stays, discharges to skilled nursing facility and hospice, primary diagnoses of infections and neoplasms, comorbidities of congestive heart failure, cancer, and dementia, Charlson comorbidity score ‡8 (p < 0.001), and fewer males (p = 0.03). Adjusted readmission reduction attributed to PCC among 0-2-, 3-6-, and 7-30-day subgroups was 14.1%, 19.2%, and 16.4%, respectively (usual care O/E = 0.904 vs. subgroup O/Es = 0.764, 0.713, 0.741, respectively). Adjusted mortality reductions attributed to PCC among the 0-2-and 3-6-day subgroups were 19.4% and 19.1%, respectively. A 12% mortality increase was observed in the 7-30-day subgroup (usual care O/E = 0.738 vs. subgroup O/Es = 0.544, 0.547, 0.858, respectively). Conclusions: Inpatient PCC reduces 30-day readmissions and inpatient mortality with the greatest impact demonstrated within six days of hospital admission. Early PCC should be encouraged for eligible patients.