Integrative Multimodality Methods for Studying Brain Function is a 2-day workshop being held at Johns Hopkins School of Medicine NOV 7-8, 2017 for investigators with an interest in applying integrative modeling of data from modern anatomical and physiological methods to the study of brain function.
While recent advances in structural and functional neuroimaging have made collection of multimodal data practical, processing tools efficiently integrating results across modalities have been slower to appear. This workshop will bring together basic and clinical neuroscientists to demonstrate integrative image analysis methods, covering practical aspects of processing and integrating data, including (1) structural MRI, (2) task-related fMRI, (3) resting-state fMRI, (4) DTI, and (5) ASL. Particular emphasis will be given to practical issues associated with processing data collected these different MRI modalities, and then integrating the features resulting from the different pipelines. Processing pipeline examples will be drawn from Mricloud, SPM, CAT12, CONN Toolbox, AFNI and FSL. On the second day of the workshop, Neuroconductor, a new framework integrating processing pipelines from all these programs using the R software environment will be introduced with practical examples. Current issues related to inference and critical thresholding arising in all MRI modalities will be discussed at the end of the workshop.
Details can be found at: http://www.neurometrika.org/MultimodalityNOV2017
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