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Full-Text Articles in Psychology
Brain Science And Organizational Coaching, Raymond L. Forbes
Brain Science And Organizational Coaching, Raymond L. Forbes
All Faculty and Staff Scholarship
Purpose – To assess the current state of the art in the application of neuroscience principles to the field of organizational coaching. Design/methodology/approach – Qualitative research employing a review of the contemporary literature. Findings- The research results indicate a potentially positive benefit for practitioners and theorists in the field of organizational coaching to learn about and apply findings from the discipline of brain science. Research limitations/implications – Neuroscience research is a rapidly growing area with new results that tend to quickly obsolete current findings. The leading edge of the field is rapidly advancing with theory often greatly lagging practice. Additionally, …
A Tool For Interactive Data Visualization: Application To Over 10,000 Brain Imaging And Phantom Mri Data Sets, Sandeep R. Panta, Runtang Wang, Jill Fries, Ravi Kalyanam, Nicole Speer, Marie Banich, Kent Keihl, Margaret King, Michael Milham, Tor D. Wager, Jessica Turner, Sergey M. Plis, Vince D. Calhoun
A Tool For Interactive Data Visualization: Application To Over 10,000 Brain Imaging And Phantom Mri Data Sets, Sandeep R. Panta, Runtang Wang, Jill Fries, Ravi Kalyanam, Nicole Speer, Marie Banich, Kent Keihl, Margaret King, Michael Milham, Tor D. Wager, Jessica Turner, Sergey M. Plis, Vince D. Calhoun
Psychology Faculty Publications
In this paper we propose a web-based approach for quick visualization of big data from brain magnetic resonance imaging (MRI) scans using a combination of an automated image capture and processing system, nonlinear embedding, and interactive data visualization tools. We draw upon thousands of MRI scans captured via the COllaborative Imaging and Neuroinformatics Suite (COINS). We then interface the output of several analysis pipelines based on structural and functional data to a t-distributed stochastic neighbor embedding (t-SNE) algorithm which reduces the number of dimensions for each scan in the input data set to two dimensions while preserving the local structure …