Open AccessSpatially dynamic recurrent information flow across long‐range dorsal motor network encodes selective motor goals
Author(s) -
Yoo Peter E.,
Hagan Maureen A.,
John Sam E.,
Opie Nicholas L.,
Ordidge Roger J.,
O'Brien Terence J.,
Oxley Thomas J.,
Moffat Bradford A.,
Wong Yan T.
Publication year - 2018
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.24029
Subject(s) - neuroscience , primary motor cortex , dorsum , motor cortex , task positive network , task (project management) , information flow , encoding (memory) , computer science , cued speech , psychology , cognitive psychology , functional magnetic resonance imaging , biology , default mode network , anatomy , linguistics , philosophy , management , stimulation , economics
Performing voluntary movements involves many regions of the brain, but it is unknown how they work together to plan and execute specific movements. We recorded high‐resolution ultra‐high‐field blood‐oxygen‐level‐dependent signal during a cued ankle‐dorsiflexion task. The spatiotemporal dynamics and the patterns of task‐relevant information flow across the dorsal motor network were investigated. We show that task‐relevant information appears and decays earlier in the higher order areas of the dorsal motor network then in the primary motor cortex. Furthermore, the results show that task‐relevant information is encoded in general initially, and then selective goals are subsequently encoded in specifics subregions across the network. Importantly, the patterns of recurrent information flow across the network vary across different subregions depending on the goal. Recurrent information flow was observed across all higher order areas of the dorsal motor network in the subregions encoding for the current goal. In contrast, only the top–down information flow from the supplementary motor cortex to the frontoparietal regions, with weakened recurrent information flow between the frontoparietal regions and bottom–up information flow from the frontoparietal regions to the supplementary cortex were observed in the subregions encoding for the opposing goal. We conclude that selective motor goal encoding and execution rely on goal‐dependent differences in subregional recurrent information flow patterns across the long‐range dorsal motor network areas that exhibit graded functional specialization.