doi.org/10.1016/j.sbspro.2011.09.220, hdl.handle.net/1765/34612
Procedia: Social and Behavioral Sciences
Erasmus MC: University Medical Center Rotterdam

El Hachioui, H., Roozenbeek, B., van de Sandt-Koenderman, M., Dippel, D., Koudstaal, P., & Visch-Brink, E. (2011). Phonology is the strongest language component in predicting aphasia outcome after stroke. In Procedia: Social and Behavioral Sciences (Vol. 23, pp. 162–163). doi:10.1016/j.sbspro.2011.09.220