title: Striatal and hippocampal involvement in motor sequence chunking depends on the learning strategy.
abstract: Motor sequences can be learned using an incremental approach by starting with a few elements and then adding more as training evolves (e.g., learning a piano piece); conversely, one can use a global approach and practice the whole sequence in every training session (e.g., shifting gears in an automobile). Yet, the neural correlates associated with such learning strategies in motor sequence learning remain largely unexplored to date. Here we used functional magnetic resonance imaging to measure the cerebral activity of individuals executing the same 8-element sequence after they completed a 4-days training regimen (2 sessions each day) following either a global or incremental strategy. A network comprised of striatal and fronto-parietal regions was engaged significantly regardless of the learning strategy, whereas the global training regimen led to additional cerebellar and temporal lobe recruitment. Analysis of chunking/grouping of sequence elements revealed a common prefrontal network in both conditions during the chunk initiation phase, whereas execution of chunk cores led to higher mediotemporal activity (involving the hippocampus) after global than incremental training. The novelty of our results relate to the recruitment of mediotemporal regions conditional of the learning strategy. Thus, the present findings may have clinical implications suggesting that the ability of patients with lesions to the medial temporal lobe to learn and consolidate new motor sequences may benefit from using an incremental strategy.
authors.affiliation: Unité de Neuroimagerie Fonctionelle (UNF), Montréal, Canada; Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, Canada; Département de Psychiatrie, Université de Montréal, Montréal, Canada; Center for Research in Aging, Donald Berman Maimonides Geriatric Center, Montréal, Canada.
authors.forename: Ovidiu
authors.initials: O
authors.lastname: Lungu
authors.affiliation: Unité de Neuroimagerie Fonctionelle (UNF), Montréal, Canada; Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, Canada; Département de Radiologie, Université de Montréal, Montréal, Canada.
authors.forename: Oury
authors.initials: O
authors.lastname: Monchi
authors.affiliation: Unité de Neuroimagerie Fonctionelle (UNF), Montréal, Canada; Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, Canada; Département de Psychologie, Université de Montréal, Montréal, Canada.
authors.forename: Geneviève
authors.initials: G
authors.lastname: Albouy
authors.affiliation: Unité de Neuroimagerie Fonctionelle (UNF), Montréal, Canada; Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, Canada.
authors.forename: Thomas
authors.initials: T
authors.lastname: Jubault
authors.affiliation: Graduate Program in Neuropsychology, Université de Lyon 2, Lyon, France.
authors.forename: Emanuelle
authors.initials: E
authors.lastname: Ballarin
authors.affiliation: INSERM U678, Université de Paris VI Jussieu, Paris, France.
authors.forename: Yves
authors.initials: Y
authors.lastname: Burnod
authors.affiliation: Unité de Neuroimagerie Fonctionelle (UNF), Montréal, Canada; Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, Canada; Département de Psychologie, Université de Montréal, Montréal, Canada.
authors.forename: Julien
authors.initials: J
authors.lastname: Doyon
mesh_terms: D000328:Adult; D001931:Brain Mapping; D016000:Cluster Analysis; D003342:Corpus Striatum / Q000502:physiology*; D005260:Female; D006624:Hippocampus / Q000502:physiology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007858:Learning; D008279:Magnetic Resonance Imaging; D008297:Male; D009048:Motor Skills; D011597:Psychomotor Performance; D011930:Reaction Time; D055815:Young Adult