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Full-Text Articles in Medicine and Health Sciences
Evoked Effective Connectivity Of The Human Neocortex, L. Entz, E. Toth, C. J. Keller, S. Bickel, D. M. Groppe, D. Fabo, L. R. Kozak, L. Eross, I. Ulbert, A. D. Mehta
Evoked Effective Connectivity Of The Human Neocortex, L. Entz, E. Toth, C. J. Keller, S. Bickel, D. M. Groppe, D. Fabo, L. R. Kozak, L. Eross, I. Ulbert, A. D. Mehta
Journal Articles
The role of cortical connectivity in brain function and pathology is increasingly being recognized. While in vivo magnetic resonance imaging studies have provided important insights into anatomical and functional connectivity, these methodologies are limited in their ability to detect electrophysiological activity and the causal relationships that underlie effective connectivity. Here, we describe results of cortico-cortical evoked potential (CCEP) mapping using single pulse electrical stimulation in 25 patients undergoing seizure monitoring with subdural electrode arrays. Mapping was performed by stimulating adjacent electrode pairs and recording CCEPs from the remainder of the electrode array. CCEPs reliably revealed functional networks and showed an …
Characterization Of Disease-Related Covariance Topographies With Ssmpca Toolbox: Effects Of Spatial Normalization And Pet Scanners, S. C. Peng, Y. L. Ma, P. G. Spetsieris, P. Mattis, Andrew Feigin, V. Dhawan, D. Eidelberg
Characterization Of Disease-Related Covariance Topographies With Ssmpca Toolbox: Effects Of Spatial Normalization And Pet Scanners, S. C. Peng, Y. L. Ma, P. G. Spetsieris, P. Mattis, Andrew Feigin, V. Dhawan, D. Eidelberg
Journal Articles
To generate imaging biomarkers from disease-specific brain networks, we have implemented a general toolbox to rapidly perform scaled subprofile modeling (SSM) based on principal component analysis (PCA) on brain images of patients and normals. This SSMPCA toolbox can define spatial covariance patterns whose expression in individual subjects can discriminate patients from controls or predict behavioral measures. The technique may depend on differences in spatial normalization algorithms and brain imaging systems. We have evaluated the reproducibility of characteristic metabolic patterns generated by SSMPCA in patients with Parkinson's disease (PD). We used [F-18]fluorodeoxyglucose PET scans from patients with PD and normal controls. …