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Wednesday, June 28, 2017- Multi-echo fMRI: basics, denoising, and applications to neuroscience

ME-fMRI has been shown to increase BOLD sensitivity compared to regular single echo fMRI. ME-NMR signal decay models can be used to validate BOLD signals at the subject-level and identify a wide variety of nonBOLD artifacts for denoising - greatly decreasing confounds from artifacts and biases from preprocessing.

We propose a course that will enable participants to use this new methodology and highlight the new domains of study that are now possible. This topic is timely since subject-level fMRI and the study of brain dynamics are emerging as new frontiers; these and many other applications require higher fMRI signal fidelity than is afforded by currently standard techniques. Thus, this course will be of considerable interest to a wide range of researchers.

Participants will learn about basic ME acquisition and theory as well as advanced acquisition using the novel multi-band (MBME) technique with comparisons to state-of-the-art fMRI acquisition across field strengths (Poser), ME-ICA denoising strategies (Kundu, Evans), and practical guidance for translational applications (Lombardo, Voon).

They will also learn about the benefits and limitations of using ME-ICA denoised data including: improvements of statistical power and effect size (Lombardo), detection of ultraslow BOLD and their validation by ME-fMRIEEG (Evans), enhancement of the sensitivity of graph theory metrics and increased functional specificity of small subcortical structures in translational studies, (Voon), and applications to studying neurodevelopment in drug-administration contexts (Lombardo).

Next to their specific applications, lecturers will take care to provide a balanced overview of published applications of ME-fMRI in human and animal imaging.