Affiliations: Laboratoire de Sciences Cognitives et
Psycholinguistique, ENS-EHESS-CNRS, Paris, France | Département d'Etudes Cognitives, Ecole Normale
Supérieure, Paris, France | INSERM U955 team 1 "Neuropsychologie
Interventionnelle", Institut Mondor de Recherche Biomédicale
Créteil, France | AP/HP, Unité de Neuropsychologie, Service de
Neurologie, Hôpital Henri Mondor, Créteil, France | Université Paris 12, Faculté de
Médecine, Créteil, France
Note: [] Address for correspondence: Charlotte Jacquemot, LSCP, Ecole
Normale Supérieure, 29 rue d'Ulm, 75005 Paris, France. Tel.: +33 01 44
32 26 23; Fax: +33 01 44 32 26 30; E-mail: [email protected]
Abstract: Speech production impairment is a frequent deficit observed in
aphasic patients and rehabilitation programs have been extensively developed.
Nevertheless, there is still no agreement on the type of rehabilitation that
yields the most successful outcomes. Here, we ran a detailed meta-analysis of
39 studies of word production rehabilitation involving 124 patients. We used a
model-driven approach for analyzing each rehabilitation task by identifying
which levels of our model each task tapped into. We found that (1) all
rehabilitation tasks are not equally efficient and the most efficient ones
involved the activation of the two levels of the word production system: the
phonological output lexicon and the phonological output, and (2) the activation
of the speech perception system as it occurs in many tasks used in
rehabilitation is not successful in rehabilitating word production. In this
meta-analysis, the effect of the activation of the phonological output lexicon
and the phonological output cannot be assessed separately. We further conducted
a rehabilitation study with DPI, a patient who suffers from a damage of the
phonological output lexicon. Our results confirm that rehabilitation is more
efficient, in terms of time and performance, when specifically addressing the
impaired level of word production.
Keywords: Word production, aphasia, rehabilitation, model-driven approach, meta-analysis, case study
