WWW.JNEUROSCI.ORG
-
The Journal of Neuroscience Seahorse Bioscience
 QUICK SEARCH:   [advanced]


     
-


HOME
  |  
SEARCH  |   ARCHIVE  |   SUBSCRIBE  |   CONTACT  |   HELP

The Journal of Neuroscience, February 6, 2008, 28(6):1271-1281; doi:10.1523/JNEUROSCI.4512-07.2008

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Supplemental Data
Right arrow Submit an eLetter
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Thakur, P. H.
Right arrow Articles by Hsiao, S. S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Thakur, P. H.
Right arrow Articles by Hsiao, S. S.

 Previous Article  |  Next Article 

Behavioral/Systems/Cognitive
Multidigit Movement Synergies of the Human Hand in an Unconstrained Haptic Exploration Task

Pramodsingh H. Thakur, Amy J. Bastian, and Steven S. Hsiao

Departments of Neuroscience, Neurology, and Biomedical Engineering, Zanvyl Krieger Mind/Brain Institute and Kennedy Krieger Institute, Johns Hopkins University, Baltimore, Maryland 21218

Correspondence should be addressed to Dr. Steven S. Hsiao, Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, 338 Krieger Hall, 3400 North Charles Street, Baltimore, MD 21218. Email: Steven.Hsiao{at}jhu.edu.

Although the human hand has a complex structure with many individual degrees of freedom, joint movements are correlated. Studies involving simple tasks (grasping) or skilled tasks (typing or finger spelling) have shown that a small number of combined joint motions (i.e., synergies) can account for most of the variance in observed hand postures. However, those paradigms evoked a limited set of hand postures and as such the reported correlation patterns of joint motions may be task-specific. Here, we used an unconstrained haptic exploration task to evoke a set of hand postures that is representative of most naturalistic postures during object manipulation. Principal component analysis on this set revealed that the first seven principal components capture >90% of the observed variance in hand postures. Further, we identified nine eigenvectors (or synergies) that are remarkably similar across multiple subjects and across manipulations of different sets of objects within a subject. We then determined that these synergies are used broadly by showing that they account for the changes in hand postures during other tasks. These include hand motions such as reach and grasp of objects that vary in width, curvature and angle, and skilled motions such as precision pinch. Our results demonstrate that the synergies reported here generalize across tasks, and suggest that they represent basic building blocks underlying natural human hand motions.

Key words: kinematic; synergy; multidigit; reach-to-grasp; object manipulation; precision grip; posture


Received June 12, 2007; revised Dec. 12, 2007; accepted Dec. 13, 2007.

Correspondence should be addressed to Dr. Steven S. Hsiao, Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, 338 Krieger Hall, 3400 North Charles Street, Baltimore, MD 21218. Email: Steven.Hsiao{at}jhu.edu.






-

Home  |   Search  |   Archive  |   Subscribe  |   Contact  |   Help

-
Copyright 2008 by Society for Neuroscience ONLINE ISSN: 1529-2401
-