Event Abstract Back to Event Visualization and Quantification of Differences in Interaction Strength of Sensory and Motor Networks in the Human Brain using Differential Correlation Analysis and Graph Theory Christof Karmonik1*, Jeff Anderson2, Steve Fung3, Amit Verma4 and Robert Grossman1 1 Houston Methodist Research Institute, Neurosurgery, United States 2 Houston Methodist Research Institute, Translational Imaging, United States 3 Houston Methodist Research Institute, Radiology, United States 4 Houston Methodist Hospital, Neurology, United States Purpose: To compare the interaction strength of sensory and motor networks between healthy controls and subjects diagnosed with complex partial seizures (CPS) when initiating a willed activity using a new graph-theoretical analysis approach Methods: Functional magnetic resonance images (fMRI) (TR=1300 ms) were obtained during the performance of a visual presentation of 10 faces (10 sec, interspersed by green background, 60 sec). Subjects (9 healthy controls (HC), 6 male, average age: 34.7, 5 CPS subjects, male, average age: 28.4) were instructed to squeeze a ball if a face was perceived as unpleasant. Interictal spikes indicative of anomalous brain activity were identified with simultaneous EEG recordings during the fMRI examinations of the CPS subjects. For each subject, a difference correlation map was calculated using a BOLD signal time course from the primary visual cortex (sensory input) and one from the motor cortex (motor output). Networks using a 2D spring-embedded design and using the 3D anatomical Talairach space with correlation coefficients of signal time courses as edge weights were created. Statistical significance between the networks for the two groups was investigated for selected network parameters. 3D printing technology was used to create replica of computer-generated 3D networks. Results: On average, visual cortex, cuneus, precuneus, dorsal lateral prefrontal cortex (DLPC), cingulate gyrus, parahippocampal gyrus, thalamus, lentiform nucleus, caudate and substantia nigra exhibited stronger correlation with the sensory (input) time course, while postcentral gyrus, supplementary motor area, precentral gyrus, insula and regions in the cerebellum showed stronger correlation with the motor (output) time course. Graph-theoretical analysis showed a larger cluster coefficient in the CPS group (p-value<0.05), as well as larger diameter, average path length and larger first eigenvalue (p-value <0.17). Conclusion: Differential correlation analysis in combination with a graph-theoretical approach revealed a stronger small-world character in CPS subjects of the sensory and motor brain networks activated during the performance of a willed motor activity initiated by an emotional stimulus potentially as a result of compensatory mechanisms. Keywords: functional MRI, brain connectivity, simultaneous EEG-fMRI, Graph-theoretical analysis, initiation of willed activity Conference: XII International Conference on Cognitive Neuroscience (ICON-XII), Brisbane, Queensland, Australia, 27 Jul - 31 Jul, 2014. Presentation Type: Poster Topic: Methods Development Citation: Karmonik C, Anderson J, Fung S, Verma A and Grossman R (2015). Visualization and Quantification of Differences in Interaction Strength of Sensory and Motor Networks in the Human Brain using Differential Correlation Analysis and Graph Theory. Conference Abstract: XII International Conference on Cognitive Neuroscience (ICON-XII). doi: 10.3389/conf.fnhum.2015.217.00285 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 19 Feb 2015; Published Online: 24 Apr 2015. * Correspondence: Dr. Christof Karmonik, Houston Methodist Research Institute, Neurosurgery, Houston, United States, ckarmonik@houstonmethodist.org Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Christof Karmonik Jeff Anderson Steve Fung Amit Verma Robert Grossman Google Christof Karmonik Jeff Anderson Steve Fung Amit Verma Robert Grossman Google Scholar Christof Karmonik Jeff Anderson Steve Fung Amit Verma Robert Grossman PubMed Christof Karmonik Jeff Anderson Steve Fung Amit Verma Robert Grossman Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.