Thanh Nguyen, Natasha Mulligan, et al.
AMIA Informatics Summit 2021
Few common neurological illnesses trace back to single molecular disturbances. Many disparate putative causes may co-associate with a single disease state. However, uncovering functional, hierarchical networks of underlying mechanisms can provide a framework in which many primary pathologies converge on more complex, single higher level correlates of disease. This article focuses on cognitive deficits associated with schizophrenia to illustrate: a) How non-invasive EEG biomarkers of cognitive function constitute such a 'higher level correlate' of underlying pathologies. b) How derangement of multiple, cell-specific, molecular processes can converge on such EEG-visible, correlates of disrupted cognitive function. This approach suggests that evidence-based design of multi-target therapies may take advantage of hierarchical patterns of convergence to improve both efficacy and selectivity of disease-intervention. © 2011 Elsevier Ltd. All rights reserved.
Thanh Nguyen, Natasha Mulligan, et al.
AMIA Informatics Summit 2021
Jonghae Kim, Jean-Olivier Plouchart, et al.
IMS 2003
Shengping Liu, Baoyao Zhou, et al.
AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Colin Tilcock, Evan C. Unger, et al.
Journal of Magnetic Resonance Imaging