Principal Investigators //
- Corey Hill Allen, PhD >
- Nathaniel Anderson, PhD >
- Vince Calhoun, PhD >
- Felicha Candelaria-Cook, PhD >
- Arvind Caprihan, PhD >
- Vince Clark, PhD >
- Eric D. Claus, PhD >
- Aparna Gullapalli, PhD >
- Faith Hanlon, PhD >
- Carla Harenski, PhD >
- Jon Houck, Ph.D. >
- Kent Hutchison, PhD >
- Kent A. Kiehl, PhD >
- Dean O. Kuethe, PhD >
- Jeffrey D. Lewine, PhD >
- J. Michael Maurer, PhD >
- Andrew R. Mayer, PhD >
- John Phillips, MD >
- Sephira Ryman, PhD, MS >
- Julia M. Stephen, PhD >
- David B. Stone, PhD
- Andrei Vakhtin, Ph.D. >
- Claire E. Wilcox, MD >
David B. Stone, PhD
Postdoctoral Fellow
Dr. Stone is currently a postdoctoral fellow at the Mind Research Network specializing in the field of computational neuroscience. His research is focused on employing machine learning methods and computational modelling to characterize organic and psychological brain pathology and predict disease course and intervention outcomes. Dr. Stone utilizes data acquired from multiple non-invasive imaging modalities including EEG, MEG, and MRI with an emphasis on large-scale dynamics and network topology. Currently, he is using these methods to detect specific anomalies in brain white matter tracts to identify risk factors for developing dementia in older populations.
Selected Publications //
- Hyperscanning of interactive juggling: expertise influence on source level functional connectivity >
- Automatic removal of cardiac interference (ARCI): a new approach for EEG data >
- Automatic removal of physiological artifacts in EEG: the Optimized Fingerprint Method for sports science applications >
- A new ICA-based fingerprint method for the automatic removal of physiological artifacts from EEG recordings >
- Multisensory stimuli elicit altered oscillatory brain responses at gamma frequencies in patients with schizophrenia >
- Topological dynamics in spike-timing dependent plastic model neural networks >
- Unisensory processing and multisensory integration in schizophrenia: A high-density electrical mapping study >
- Characterization of a normal control group: are they healthy? >
- Differences in MEG gamma oscillatory power during performance of a prosaccade task in adolescents with FASD >
- Primary Visual Response (M100) Delays in Adolescents with FASD as Measured with MEG >
