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. Author manuscript; available in PMC: 2019 Jun 1.
Published in final edited form as: Brain Struct Funct. 2018 Feb 16;223(5):2519–2526. doi: 10.1007/s00429-018-1619-z

Figure 2. Modeling Disconnection and Augmented Connections.

Figure 2

Schematic representations of simple networks illustrate the procedure used to identify salient subject features and investigate their effect.

Top: A sample aggregate control matrix and a sample subject matrix. Examples of disconnections and augmented connections are highlighted.

Middle: Corresponding diagrams for the aggregate control and subject diagrams are displayed. An example each of a disconnection and an augmented connection corresponding to those highlighted in the matrices above are shown.

Bottom: Matrices from control data incorporating either disconnection or augmented connections from the subject. The networks represented differ from the aggregate control matrix only in terms of the relevant features from the individual.

These matrices are then used to couple regions in the computational model to explore the effect of empirically observed structural changes on neuronal dynamics.