Literature DB >> 29516636

Spatially dynamic recurrent information flow across long-range dorsal motor network encodes selective motor goals.

Peter E Yoo1,2, Maureen A Hagan3, Sam E John4,2,5, Nicholas L Opie4,2,5, Roger J Ordidge1, Terence J O'Brien6, Thomas J Oxley2,5,7,6, Bradford A Moffat1, Yan T Wong8,9,3.   

Abstract

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.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  7 T; classification; decoding; fMRI; goal encoding; information flow; lower limb; motor network; motor planning

Mesh:

Substances:

Year:  2018        PMID: 29516636      PMCID: PMC6866335          DOI: 10.1002/hbm.24029

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  60 in total

1.  Integration of target and body-part information in the premotor cortex when planning action.

Authors:  E Hoshi; J Tanji
Journal:  Nature       Date:  2000-11-23       Impact factor: 49.962

2.  The preparation and execution of self-initiated and externally-triggered movement: a study of event-related fMRI.

Authors:  R Cunnington; C Windischberger; L Deecke; E Moser
Journal:  Neuroimage       Date:  2002-02       Impact factor: 6.556

3.  fMRI at 1.5, 3 and 7 T: characterising BOLD signal changes.

Authors:  Wietske van der Zwaag; Susan Francis; Kay Head; Andrew Peters; Penny Gowland; Peter Morris; Richard Bowtell
Journal:  Neuroimage       Date:  2009-05-14       Impact factor: 6.556

Review 4.  Automatic online control of motor adjustments in reaching and grasping.

Authors:  Valérie Gaveau; Laure Pisella; Anne-Emmanuelle Priot; Takao Fukui; Yves Rossetti; Denis Pélisson; Claude Prablanc
Journal:  Neuropsychologia       Date:  2013-12-13       Impact factor: 3.139

5.  The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference.

Authors:  Lionel Barnett; Anil K Seth
Journal:  J Neurosci Methods       Date:  2013-11-05       Impact factor: 2.390

6.  Cortical networks for visual reaching.

Authors:  P B Johnson; S Ferraina; R Caminiti
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

7.  Human parietal cortex lesions impact the precision of spatial working memory.

Authors:  Wayne E Mackey; Orrin Devinsky; Werner K Doyle; John G Golfinos; Clayton E Curtis
Journal:  J Neurophysiol       Date:  2016-06-15       Impact factor: 2.714

8.  The role of human left superior parietal lobule in body part localization.

Authors:  Olivier Felician; Patricia Romaiguère; Jean-Luc Anton; Bruno Nazarian; Muriel Roth; Michel Poncet; Jean-Pierre Roll
Journal:  Ann Neurol       Date:  2004-05       Impact factor: 10.422

Review 9.  FSL.

Authors:  Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith
Journal:  Neuroimage       Date:  2011-09-16       Impact factor: 6.556

10.  Human medial frontal cortex mediates unconscious inhibition of voluntary action.

Authors:  Petroc Sumner; Parashkev Nachev; Peter Morris; Andrew M Peters; Stephen R Jackson; Christopher Kennard; Masud Husain
Journal:  Neuron       Date:  2007-06-07       Impact factor: 17.173

View more
  2 in total

1.  Optimized partial-coverage functional analysis pipeline (OPFAP): a semi-automated pipeline for skull stripping and co-registration of partial-coverage, ultra-high-field functional images.

Authors:  Peter E Yoo; Jon O Cleary; Scott C Kolbe; Roger J Ordidge; Terence J O'Brien; Nicholas L Opie; Sam E John; Thomas J Oxley; Bradford A Moffat
Journal:  MAGMA       Date:  2018-05-29       Impact factor: 2.310

2.  Spatially dynamic recurrent information flow across long-range dorsal motor network encodes selective motor goals.

Authors:  Peter E Yoo; Maureen A Hagan; Sam E John; Nicholas L Opie; Roger J Ordidge; Terence J O'Brien; Thomas J Oxley; Bradford A Moffat; Yan T Wong
Journal:  Hum Brain Mapp       Date:  2018-03-08       Impact factor: 5.038

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.