The Time Course of Changes during Motor Sequence Learning: A Whole-Brain fMRI Study

There is a discrepancy between the results of imaging studies in which subjects learn motor sequences. Some experiments have shown decreases in the activation of some areas as learning increased, whereas others have reported learning-related increases as learning progressed. We have exploited fMRI to measure changes in blood oxygen leve-dependent (BOLD) signal throughout the course of learning. T2*-weighted echo-planar images were acquired over the whole brain for 40 min while the subjects learned a sequence eight moves long by trial and error. The movements were visually paced every 3.2 s and visual feedback was provided to the subjects. A baseline period followed each activation period. The effect due to the experimental conditions was modeled using a square-wave function, time locked to their occurrence. Changes over time in the difference between activation and baseline signal were modeled using a set of polynomial basis functions. This allowed us to take into account linear as well as nonlinear changes over time. Low-frequency changes over time common to both activation and baseline conditions (and thus not learning related) were modeled and removed. Linear and nonlinear changes of BOLD signal over time were found in prefrontal, premotor, and parietal cortex and in neostriatal and cerebellar areas. Single-unit recordings in nonhuman primates during the learning of motor tasks have clearly shown increased activity early in learning, followed by a decrease as learning progressed. Both phenomena can be observed at the population level in the present study.

[1]  D. Pandya,et al.  Cingulate cortex of the rhesus monkey: II. Cortical afferents , 1987, The Journal of comparative neurology.

[2]  S. Wise,et al.  Learning-dependent neuronal activity in the premotor cortex: activity during the acquisition of conditional motor associations , 1991, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[3]  Karl J. Friston,et al.  Motor practice and neurophysiological adaptation in the cerebellum: a positron tomography study , 1992, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[4]  W. Schultz,et al.  Responses of monkey dopamine neurons during learning of behavioral reactions. , 1992, Journal of neurophysiology.

[5]  T. Ebner,et al.  Purkinje cell complex and simple spike changes during a voluntary arm movement learning task in the monkey. , 1992, Journal of neurophysiology.

[6]  R. Passingham The frontal lobes and voluntary action , 1993 .

[7]  Jun Tanji,et al.  Role for supplementary motor area cells in planning several movements ahead , 1994, Nature.

[8]  D. Brooks,et al.  Motor sequence learning: a study with positron emission tomography , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[9]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[10]  Alan C. Evans,et al.  An MRI-Based Probabilistic Atlas of Neuroanatomy , 1994 .

[11]  Leslie G. Ungerleider,et al.  Functional MRI evidence for adult motor cortex plasticity during motor skill learning , 1995, Nature.

[12]  Scott T. Grafton,et al.  Functional Mapping of Sequence Learning in Normal Humans , 1995, Journal of Cognitive Neuroscience.

[13]  S. Wise,et al.  Neuronal activity in the supplementary eye field during acquisition of conditional oculomotor associations. , 1995, Journal of neurophysiology.

[14]  Karl J. Friston,et al.  Spatial registration and normalization of images , 1995 .

[15]  R. Turner,et al.  Characterizing Evoked Hemodynamics with fMRI , 1995, NeuroImage.

[16]  Giuseppe Luppino,et al.  Thalamic input to mesial and superior area 6 in the macaque monkey , 1996, The Journal of comparative neurology.

[17]  M. Hallett,et al.  Cerebral structures participating in motor preparation in humans: a positron emission tomography study. , 1996, Journal of neurophysiology.

[18]  Karl J. Friston,et al.  Nonlinear Regression in Parametric Activation Studies , 1996, NeuroImage.

[19]  R. Passingham Attention to action. , 1996, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[20]  T. Ebner,et al.  Functional magnetic resonance imaging of cerebellar activation during the learning of a visuomotor dissociation task , 1996, Human brain mapping.

[21]  Alan C. Evans,et al.  Functional Anatomy of Visuomotor Skill Learning in Human Subjects Examined with Positron Emission Tomography , 1996, The European journal of neuroscience.

[22]  Richard S. J. Frackowiak,et al.  Multiple nonprimary motor areas in the human cortex. , 1997, Journal of neurophysiology.

[23]  R. Shadmehr,et al.  Neural correlates of motor memory consolidation. , 1997, Science.

[24]  Richard S. J. Frackowiak,et al.  Anatomy of motor learning. II. Subcortical structures and learning by trial and error. , 1997, Journal of neurophysiology.

[25]  Karl J. Friston,et al.  The time-course of activity in motor areas during motor learning , 1997 .

[26]  Richard S. J. Frackowiak,et al.  Anatomy of motor learning. I. Frontal cortex and attention to action. , 1997, Journal of neurophysiology.

[27]  Karl J. Friston,et al.  Correction for movement-related effects arising from data interpolation in fMRI time-series , 1997 .

[28]  Karl J. Friston,et al.  Human Brain Function , 1997 .

[29]  M. Raichle,et al.  Anatomic Localization and Quantitative Analysis of Gradient Refocused Echo-Planar fMRI Susceptibility Artifacts , 1997, NeuroImage.

[30]  G. Berns,et al.  Brain regions responsive to novelty in the absence of awareness. , 1997, Science.

[31]  Scott T. Grafton,et al.  Attention and stimulus characteristics determine the locus of motor-sequence encoding. A PET study. , 1997, Brain : a journal of neurology.