Decoding sequential finger movements from preparatory activity in higher-order motor regions: a functional magnetic resonance imaging multi-voxel pattern analysis
Performing a complex sequential finger movement requires the temporally well‐ordered organization of individual finger movements. Previous behavioural studies have suggested that the brain prepares a whole sequence of movements as a single set, rather than the movements of individual fingers. Howeve...
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Published in | The European journal of neuroscience Vol. 42; no. 10; pp. 2851 - 2859 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
France
Blackwell Publishing Ltd
01.11.2015
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Subjects | |
Online Access | Get full text |
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Summary: | Performing a complex sequential finger movement requires the temporally well‐ordered organization of individual finger movements. Previous behavioural studies have suggested that the brain prepares a whole sequence of movements as a single set, rather than the movements of individual fingers. However, direct neuroimaging support for this hypothesis is lacking and, assuming it to be true, it remains unclear which brain regions represent the information of a prepared sequence. Here, we measured brain activity with functional magnetic resonance imaging while 14 right‐handed healthy participants performed two types of well‐learned sequential finger movements with their right hands. Using multi‐voxel pattern analysis, we examined whether the types of the forthcoming sequence could be predicted from the preparatory activities of nine regions of interest, which included the motor, somatosensory and posterior parietal regions in each hemisphere, bilateral visual cortices, cerebellum and basal ganglia. We found that, during preparation, the activity of the contralateral motor regions could predict which of the two sequences would be executed. Further detailed analysis revealed that the contralateral dorsal premotor cortex and supplementary motor area were the key areas that contributed to the prediction consistently across participants. These contrasted with results from execution‐related brain activity where a performed sequence was successfully predicted from the activities in the broad cortical sensory‐motor network, including the bilateral motor, parietal and ipsilateral somatosensory cortices. Our study supports the hypothesis that temporary well‐organized sequences of movements are represented as a set in the brain, and that preparatory activity in higher‐order motor regions represents information about upcoming motor actions.
Using fMRI multi‐voxel pattern analysis, this study showed that types of sequential finger movements can be predicted from preparatory activity in contralateral motor regions. Further, activity in the supplementary motor area and dorsal premotor cortex contributed to this prediction. This suggests that in humans, sequential finger movements are represented in higher‐order motor regions as a single action set when planning movements. |
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Bibliography: | istex:F52CBD78E989ACAA3509FCEB03899E9FE8696689 'Novel and Innovative R&D Making Use of Brain Structures' of MIC Appendix S1. Assignment of two sequences for each participant. Appendix S2. Experiment outside scanner. Appendix S3. Behavioral testing of sequence encoding. Table S1. Areas activated during preparation and execution in the univariate analysis. Table S2. Relevant Voxel Information for each ROI. Fig. S1. Anatomical location of ROIs Global COE Program 'Center of Human-Friendly Robotics Based on Cognitive Neuroscience' of MEXT Research Fellowship of the JSPS for Young Scientists - No. 238768 ark:/67375/WNG-M2GC9615-9 'Strategic Research Program for Brain Science' of AMED ArticleID:EJN13063 'Development of Network Dynamics Modeling Methods for Human Brain Data Simulation Systems' of NICT JSPS KAKENHI - No. 26560303; No. 25119001; No. 26119535; No. 24300051; No. 24000012; No. 26120003 Marie Curie International Incoming Fellowship ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0953-816X 1460-9568 |
DOI: | 10.1111/ejn.13063 |