Table 1.
Overview of critical issues, key issues, alternative viewpoints, working hypotheses, and simulated effects/model explorations
Critical issues | Key issues | Alternative viewpoints | Working hypotheses | Simulated effects/explorations |
Lateralization assumptions | How can the language network be strongly left lateralized in patients but be bilateral, albeit asymmetric, in healthy participants? | 1) Impaired language function after left but not right hemisphere damage (14–16) | Leftward hemispheric asymmetry generates bilateral yet asymmetric lateralization in simulated BOLD and also greater likelihood of chronic impairment after left than right damage | 1) Functional asymmetry followed computational capacity 2) A function-structure pattern (42) 3) Impaired performance after left but not right damage to the model (17) |
2) Bilateral and asymmetric brain activations in healthy individuals during language tasks (21–29) | ||||
The computational bases of language recovery | A lack of an implemented model for the computational bases of language recovery | 1) Degeneracy (13, 30) | The mechanisms are not mutually exclusive and they can be utilized as a part of the recovery process | Various analyses on model behavior and explorations of the underpinning computations in both damage and undamaged conditions |
2) Variable neurodisplacement (13) | ||||
Theories of aphasia recovery | 1) What are the dynamic activation shifts in poststroke aphasia and recovery? | 1) Perilesional up-regulated activation (5, 49–54) 2) The “regional hierarchy framework” (5–9) |
Patterns of recovery are related to the differential capacity available in left and right hemisphere systems and lesion severity | 1) Dynamic patterns of activation shifts during recovery (50) 2) Lesion severity as a determiner for recovered performance and brain activation patterns 3) Different types of interconnectivity |
2) What is the effect of transcallosal connectivity on healthy and impaired function? | 3) Right hemisphere activation (2, 8, 10–12, 50, 55, 56) | |||
Multiple measures | What is the relationship between multiple brain measures and recovered function in patients? | 1) Behavioral measures compared with fMRI activation (8, 10–12, 52) | Different measures provide different types of information | 1) Model accuracy better tracked by the RSA than unit activation (cf. BOLD) 2) A conceptually similar RSA pattern to data in ref. 71 |
2) Potential applications of multiple voxel pattern analysis (71, 72) in the patient studies |