Understanding causal funct. contributions & interactions in attention networks through computational modeling & lesion analysis
Brain perturbation by lesions or experimental perturbation approaches can reveal the causal contributions of different brain regions to brain function. However, the interpretation of perturbation effects and the inference of causal functional contributions is made difficult by the multiple interactions between brain regions. This problem can be addressed through computational modeling as well as multivariate lesion inference approaches. In particular, we used a multivariate, game-theoretical technique to objectively quantify the causal functional contributions of brain regions, and applied it to animal model data, ground-truth simulations, as well as clinical data of stroke lesions and corresponding functional deficits. The approach reliably inferred regional contributions to attentional brain function and revealed a wide quantitative range of contributions of multiple regions to multiple aspects of function. It also indicated functional synergies and redundancies among brain regions and helped to identify potential targets for clinical rehabilitation.