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Manipulating time-to-plan alters patterns of brain activation during the Fitts’ task

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Abstract

Fitts’ law predicts that there is an essential trade-off between speed and accuracy during movement. Past investigations of Fitts’ law have not characterized whether advance planning of upcoming fast and accurate movements impacts either behavior or patterns of brain activation. With an event-related functional magnetic resonance imaging (fMRI) paradigm, we investigated the neural correlates of advance planning and movement difficulty of rapid, goal-directed aimed movements using a discrete version of the classic Fitts’ task. Our behavioral data revealed strong differences in response time, initial movement velocity, and end-point accuracy based on manipulation of both time to plan movements and response difficulty. We discovered a modulation of the neural network associated with executing the Fitts’ task that was dependent on the availability of time to plan the upcoming movement and motor difficulty. Specifically, when time to plan for the upcoming movement was available, medial frontal gyrus (BA 10), pre-SMA (BA 6), putamen and cerebellar lobule VI were uniquely active to plan movements. Further, their activation correlated with behavioral measures of movement. In contrast, manipulating movement difficulty invoked a different pattern of brain activations in regions that are known to participate in motor control, including supplementary motor area (BA 6), sensory motor cortex (BA 4, 3, 2) and putamen. Our finding that medial frontal gyrus (BA 10) was important for discrete, fast and accurate movements expands the known role of this brain region, which in the past has been identified as a cognitive processing system supporting stimulus-oriented attending. We now extend this conceptualization to include motor functions such as those employed for processing for rapid, goal-directed aimed movements.

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Notes

  1. Resonance Technology Inc., 18121 Parthenia St.- Suite A, Northridge, CA 91325.

  2. National Instruments Corp., 11500 N Mopac Expwy, Austin, TX 78759-3504.

  3. \( {\text{RMSE}} = \sum\nolimits_{i = 1}^{n} {\left\{ {\left( {x_{i} -- T_{i} } \right)^{ 2} /n} \right\}^{{ 1/ 2 }} x_{i} = {\text{participant}}\,{\text{position}}\,{\text{at}}\,{\text{time 1}}, T_{i} = {\text{target}}\,{\text{position}}\,{\text{at}}\,{\text{t}}} {\text{ime 1}}, n = {\text{number of samples}}.\)

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Acknowledgments

Funding for this work was partially provided by an award from the North Growth Foundation. In addition, this project was also supported by a pilot grant award from the Hoglund Family Foundation. The Hoglund Brain Imaging Center is supported by Health Research and Services Administration C76HF00201.

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Authors and Affiliations

  1. Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada

    Lara A. Boyd & B. D. Wessel

  2. Department of Physical Therapy and Rehabilitation Sciences, University of Kansas Medical Center, Kansas City, KS, USA

    Lara A. Boyd, E. D. Vidoni & C. F. Siengsukon

  3. Brain Research Centre, University of British Columbia, Vancouver, BC, Canada

    Lara A. Boyd

  4. Canada Research Chair, Neurobiology of Motor Learning, School of Rehabilitation Sciences, University of British Columbia, 217-2277 Westbrook Mall, Vancouver, BC, V6T 1Z3, Canada

    Lara A. Boyd

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  1. Lara A. Boyd
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Correspondence to Lara A. Boyd.

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Boyd, L.A., Vidoni, E.D., Siengsukon, C.F. et al. Manipulating time-to-plan alters patterns of brain activation during the Fitts’ task. Exp Brain Res 194, 527–539 (2009). https://doi.org/10.1007/s00221-009-1726-4

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