@article {Chauvin111187, author = {Roselyne Chauvin and Maarten Mennes and Jan Buitelaar and Christian Beckmann}, title = {Reverse inference via connectivity fingerprinting: task sensitivity, task specificity, and task potency}, elocation-id = {111187}, year = {2017}, doi = {10.1101/111187}, publisher = {Cold Spring Harbor Laboratory}, abstract = {In recent years, several large-scale neuroimaging efforts have been launched in an attempt to tackle a potential lack of power in the context of small effect sizes. However, within these large-scale efforts different cognitive tasks are typically treated independently, while the availability of such large databases provides much greater potential for integration. Additionally, the field of functional connectivity seems to face redundant results involving a reproducible baseline architecture of networks connectivity and would need to go beyond that representation to understand how cognition emerge from variation of that structure. In this paper, we propose a framework that aim to provide a new feature to study the functional connectivity related to cognitive involvement in tasks by removing the common architecture of the functional connectivity, i.e. taking the resting state as a baseline functional structure. As such we can propose a feature of connectivity modulation by a task: task potency. Supplementary, our framework aims to bring all tasks connectivity to a comparative level to enable to study all tasks of a cohort together. We demonstrate the use of such a feature by comparing three tasks of the NeuroIMAGE cohort (ref) and describing the behaviour of the task potency by looking at commonality and differences between tasks. We then moved to related the task potency as a new feature for the reverse inference investigation.}, URL = {https://www.biorxiv.org/content/early/2017/02/27/111187}, eprint = {https://www.biorxiv.org/content/early/2017/02/27/111187.full.pdf}, journal = {bioRxiv} }