Consciousness, a perennial subject of fascination, has witnessed a surge in scientific exploration over recent decades.
The Section on Functional Imaging Methods is within the Laboratory of Brain and Cognition and the National Institute of Mental Health. Functional MRI is a technique that utilizes time series collection of rapidly-obtained magnetic resonance images that are sensitive to localized brain activation induced hemodynamic changes. The utility of Functional MRI (fMRI) has been increasing since it was discovered in 1991. The limits of the technique (spatial and temporal resolution, interpretability of the signal, and applications) are determined by imaging technology, experimental and processing methodology, and the variable and incompletely-determined relationship between neuronal activity and hemodynamic changes.
The work of SFIM is focused on pushing spatial and temporal resolution of fMRI as well as increasing its interpretability and ultimately the utility. This research includes understanding and using resting state fluctuations, understanding and modeling the dynamics of the fMRI signal changes, advancing pattern - effect fMRI or fMRI decoding, and advancing high resolution and high field fMRI.
Please visit our GitHub to explore our publicly available code.
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Book chapters, articles, and other resources on the history, acquisition and analyses of fMRI data.
We are working to improve the spatial resolution and specificity of fMRI so that it is possible to distinguish neural activity changes across cortical layers.
A common assumption in most resting state fMRI (rsfMRI) studies is temporal stationarity. However, recent work has shown that rsfMRI connectivity patterns change considerably across short periods of time, even within the length of a typical rest scan.