WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis.

This paper introduces the Welsh Advanced Neuroimaging Database (WAND), a multi-scale, multi-modal imaging dataset comprising in vivo brain data from 170 healthy volunteers (aged 18-63 years), including 3 Tesla (3 T) magnetic resonance imaging (MRI) with ultra-strong (300 mT/m) magnetic field gradients, structural and functional MRI and nuclear magnetic resonance spectroscopy at 3 T and 7 T, magnetoencephalography (MEG), and transcranial magnetic stimulation (TMS), together with trait questionnaire and cognitive data. Data are organised using the Brain Imaging Data Structure (BIDS). In addition to raw data, we provide brain-extracted T1-weighted images, and quality reports for diffusion, T1- and T2-weighted structural data, and blood-oxygen level dependent functional tasks.

Making Fall Risk Assessment Clinically Relevant in an Adult Psychiatric Setting.

The purpose of this non-experimental descriptive study was to measure psychiatric clinical nurses' (N = 25) perceptions of the Edmonson Psychiatric Falls Risk Assessment Tool (EPFRAT) compared to the Morse Fall Scale (MFS) and to evaluate patient falls with injury rates 12 months before and after the study. The setting was a 27-bed, adult psychiatric unit in a community-based teaching hospital located in the Northeast region of the United States. The EPFRAT and MFS were used to assess fall risk in 216 patients over 3 months.