Multivariate Predictive Relationship between Kinematic and Functional Activation Patterns in a PET Study of Visuomotor Learning

Frutiger, Sally A.; Strother, Stephen C.; Anderson, Jon R.; Sidtis, John J.; Arnold, James B.; Rottenberg, David A.

doi:10.1006/nimg.2000.0644

Cited by 37 publications

(21 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A similar pattern of redistribution of activations was also observed in studies involving visuomotor tasks [25][26][27][28] and motor tasks 29,30 and has also been shown by studies that show that explicit attention to task performance is associated with increased activations in prefrontal and parietal control areas, whereas implicit or procedural task performance is associated with increased activations in task-specific motor areas. [31][32][33] The key to redistribution of functional activations is the practice-related decrease in activation in areas underlying cognitive and attentional control, whereas activations in taskspecific tend to increase.…”

Section: S22 Normal Plasticity and Neurorehabilitation Kellysupporting

confidence: 78%

Patterns of Normal Human Brain Plasticity After Practice and Their Implications for Neurorehabilitation

Kelly

Foxe

Garavan

2006

Archives of Physical Medicine and Rehabilitation

119

View full text Add to dashboard Cite

ABSTRACT. Kelly C, Foxe JJ, Garavan H. Patterns of normal human brain plasticity after practice and their implications for neurorehabilitation. Arch Phys Med Rehabil 2006;87(12 Suppl 2):S20-9.Objectives: To illustrate how our knowledge about normal patterns of experience-induced plasticity can provide insights into the mechanisms of neurorehabilitation; to provide an overview of the practice-effects literature in order to simplify and amalgamate a large number of heterogeneous findings and identify typical patterns of practice effects and their determining factors; and to concentrate on the impact of practice on higher cognitive functions, such as working memory, and present some preliminary but promising behavioral data that show how practice on a complex cognitive task can benefit cognitive functioning more generally.Data Sources: We performed a systematic search for peerreviewed journal articles using computerized databases (PubMed, ISI Web of Science, PsycINFO).Data Selection: Neuroimaging studies using functional magnetic resonance imaging (fMRI) or positron-emission tomography (PET) to examine functional activation changes as a result of practice on sensory, motor, or cognitive tasks in normal (healthy) populations were included in the review. Further studies were identified that examined the effects of rehabilitative training on functional activations in clinical populations using fMRI or PET.Data Extraction: Important characteristics of the selected studies were summarized in a systematic manner so to enable the extraction of specific factors impacting on the pattern of practice effects observed.Data Synthesis: We identified a number of factors that impact on the patterns of practice effects observed and discuss how the insights gained from the study of healthy populations can by applied to rehabilitation of cognitive deficits in clinical populations.Conclusions: Progress in our understanding of neurorehabilitative plasticity will be enabled by neuroimaging examinations of cognitive rehabilitation training grounded in a knowledge of normal (healthy) patterns of brain activation and practice-induced plasticity.Key Words: Neuronal plasticity; Rehabilitation. © 2006 by the American Congress of Rehabilitation MedicineT HE DISCOVERY THAT experience-driven changes in the human brain can occur from a synaptic to a cortical level throughout the life span has been termed a nascent revolution in cognitive neuroscience, 1 overthrowing the long-held belief that the adult brain is hard-wired and resistant to change. 2Research with both animal models and humans has shown that the organization of the adult cerebral cortex can change substantially as a result of practice and experience.3,4 Furthermore, experience-dependent change can occur at multiple levels of the central nervous system, from the molecular or synaptic level to the level of cortical maps and large-scale neural networks.2 These discoveries challenge us to investigate how it is that the brain changes in response to experience. Moreover, if the neuroanatom...

show abstract

Section: S22 Normal Plasticity and Neurorehabilitation Kellysupporting

confidence: 78%

Patterns of Normal Human Brain Plasticity After Practice and Their Implications for Neurorehabilitation

Kelly

Foxe

Garavan

2006

Archives of Physical Medicine and Rehabilitation

119

View full text Add to dashboard Cite

show abstract

“…We believe that this frontal activation may be indicative of prospective memory functions that help subjects anticipate the correct position of the cursor, given their current movement (Adam et al, 2003;Okuda et al, 2006), whereas the occipital activation may subserve selective attention and increase efficiency of visuomotor transformations (Frutiger et al, 2000;Bundesen et al, 2002;Brown et al, 2004). Our results suggest that although there is a single locus for monitoring the need for control (ACC), there may be multiple loci involved in control implementation, the executive component of the control mechanism.…”

Section: Discussionmentioning

confidence: 67%

Neural Changes in Control Implementation of a Continuous Task

Lungu¹,

Binenstock²,

Pline³

et al. 2007

J. Neurosci.

View full text Add to dashboard Cite

It is commonly agreed that control implementation, being a resource-consuming endeavor, is not exerted continuously or in simple tasks. However, most research in the field was done using tasks that varied the need for control on a trial-by-trial basis (e.g., Stroop, flanker) in a discrete manner. In this case, the anterior cingulate cortex (ACC) was found to monitor the need for control, whereas regions in the prefrontal cortex (PFC) were found to be involved in control implementation. Whether or not the same control mechanism would be used in continuous tasks was an open question. In our study, we found that in a continuous task, the same neural substrate subserves control monitoring (ACC) but that the neural substrate of control implementation changes over time. Early in the task, regions in the PFC were involved in control implementation, whereas later the control was taken over by subcortical structures, specifically the caudate. Our results suggest that humans possess a flexible control mechanism, with a specific structure dedicated to monitoring the need for control and with multiple structures involved in control implementation.

show abstract

“…The involvement of parietal regions is well known in spatial transformation processes and visual spatial attention (Chambers et al 2004). Learning of movements requiring transformation processes has been shown to involve a fronto-parietal network (Floyer-Lea and Matthews 2004;Frutiger et al 2000), which supports the role of intra-hemispheric coupling of motor and parietal regions as a basis for good performance.…”

Section: Compensatory Tracking Learning Under Visual Guidancementioning

confidence: 71%

Coherence and phase locking of intracerebral activation during visuo- and audio-motor learning of continuous tracking movements

2007

View full text Add to dashboard Cite

The aim of the present study was to assess changes in EEG coherence and phase locking between fronto-parietal areas, including the frontal and parietal motor areas, during early audio-and visuo-motor learning of continuous tracking movements. Subjects learned to turn a steering-wheel according to a given trajectory in order to minimise the discrepancy between a changing foreground stimulus (controllable by the subjects) and a constant background stimulus (uncontrollable) for both the auditory and the visual modality. In the auditory condition, we uncovered a learning-related increase in inter-hemispheric phase locking between inferior parietal regions, suggesting that coupling between areas involved in audiomotor integration is augmented during early learning stages. Intrahemispheric phase locking between motor and superior parietal areas increased in the left hemisphere as learning progressed, indicative of integrative processes of spatial information and movement execution. Further tests show a significant correlation of intra-hemispheric phase locking between the motor and the parietal area bilaterally and movement performance in the visual condition. These results suggest that the motor-parietal network is operative in the auditory and in the visual condition. This study confirms that a complex fronto-parietal network subserves learning of a new movement that requires sensorimotor transformation and demonstrates the importance of interregional coupling as a neural correlate for successful acquisition and implementation of externally guided behaviour.

show abstract

Multivariate Predictive Relationship between Kinematic and Functional Activation Patterns in a PET Study of Visuomotor Learning

Cited by 37 publications

References 46 publications

Patterns of Normal Human Brain Plasticity After Practice and Their Implications for Neurorehabilitation

Patterns of Normal Human Brain Plasticity After Practice and Their Implications for Neurorehabilitation

Neural Changes in Control Implementation of a Continuous Task

Coherence and phase locking of intracerebral activation during visuo- and audio-motor learning of continuous tracking movements

Contact Info

Product

Resources

About