Human brain imaging studies primarily seek for group-level commonalities. Yet, cognitive behaviours are remarkably individual, as are neural activation patterns. Next-generation neuroscience must seek to understand what is unique and what is shared between individuals. How do different brains underlie similar minds, and similar brains manifest as different minds? Individual-level measures are crucial for use of functional neuroimaging to improve diagnosis and prognosis in cognitive disorders. Here, we focus on language as one of the most fundamental human cognitive abilities. With emphasis on dynamic cortico-cortical connectivity as the basis of cognition, we aim to (i) discover individualized functional neuroimaging measures that are reliable and reproducible markers of language performance, (ii) determine the functional relationship between network connectivity and local activation, and (iii) devise cortical fingerprints for stroke patients to gauge individual recovery potential.
|Effective start/end date||01/09/2018 → 31/08/2022|
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):