Victor Akinwande, Megan Macgregor, et al.
IJCAI 2024
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.
Victor Akinwande, Megan Macgregor, et al.
IJCAI 2024
Alice Driessen, Susane Unger, et al.
ISMB 2023
Aurélien Pélissier, Youcef Akrout, et al.
Cells
A.E. Ruehli, N. Kulasza, et al.
IEEE T-MTT