Psychiatric disorders are characterized by major fluctuations in psychological function over the course of weeks and months, but the dynamic characteristics of brain function over this timescale in healthy individuals are unknown. Here, as a proof of concept to address this question, we present the MyConnectome project. An intensive phenome-wide assessment of a single human was performed over a period of 18 months, including functional and structural brain connectivity using magnetic resonance imaging, psychological function and physical health, gene expression and metabolomics. A reproducible analysis workflow is provided, along with open access to the data and an online browser for results. We demonstrate dynamic changes in brain connectivity over the timescales of days to months, and relations between brain connectivity, gene expression and metabolites. This resource can serve as a testbed to study the joint dynamics of human brain and metabolic function over time, an approach that is critical for the development of precision medicine strategies for brain disorders.

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F magnetic resonance imaging (MRI), an emerging modality in biomedical imaging, has shown promise for in vitro and in vivo preclinical studies. Here we present a series of fluorinated Cu(II)ATSM derivatives for potential use as F magnetic resonance agents for sensing cellular hypoxia. The synthesized complexes feature a hypoxia-targeting Cu coordination core, nine equivalent fluorine atoms connected via a variable-length poly(ethylene glycol) linker. Introduction of the fluorine moiety maintains the planar coordination geometry of the Cu center, while the linker length modulates the Cu reduction potential, F NMR relaxation properties, and lipophilicity. In particular, theF NMR relaxation properties were quantitatively evaluated by the Solomon-Bloembergen model, revealing a regular pattern of relaxation enhancement tuned by the distance between Cu and F atoms. Finally, the potential utility of these complexes for sensing reductive environments was demonstrated using both F MR phantom imaging andF NMR, including experiments in intact live cells.

Purpose:To test the repeatability of a reference region (RR) model for the analysis of dynamic contrast-enhanced MRI (DCE-MRI) in a mouse model of cancer at high field. Materials and Methods:Seven mice were injected with 10 6 4T1 mammary carcinoma cells and imaged eight to 10 days later on a Varian 7.0T scanner. Two DCE-MRI studies were performed for each mouse (separated by 2.5 hours). The RR model was used to analyze the data, and returned estimates on the perfusion-permeability index (K trans ) for the RR and the tissue of interest (TOI), as well as the extravascular extracellular volume fraction (v e ) for the TOI.Results: When the first injection was compared with the second injection, all parameters tested were highly correlated (r 2 ϭ 0.90, 0.62, 0.82 for the RR K trans , TOI K trans , and TOI v e , respectively, with P Ͻ 0.001 for all). To observe a statistically significant change (at the 5% level) in a treatment study with seven animals in each group, log 10 changes of 0.084 and 0.077 in the tumor K trans and v e , respectively, are required. Conclusion:If a reliable arterial input function (AIF) is unavailable, the RR model is a reasonable alternative to measuring MRI contrast-agent (CA) kinetics in mouse models of cancer at high field.