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Volume 87, Issue 12, Supplement, Pages 20-29 (December 2006)


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

Clare Kelly, PhDa, John J. Foxe, PhDbc, Hugh Garavan, PhDabdCorresponding Author Informationemail address

Abstract 

Kelly C, Foxe JJ, Garavan H. Patterns of normal human brain plasticity after practice and their implications for neurorehabilitation.

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 peer-reviewed 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.

a School of Psychology and Trinity College Institute of Neuroscience, Trinity College, Dublin, Ireland

b The Cognitive Neurophysiology Laboratory, Nathan S. Kline Institute for Psychiatric Research, Program in Cognitive Neuroscience and Schizophrenia, Orangeburg, NY

c Program in Cognitive Neuroscience, Department of Psychology, City College of the City University of New York, New York, NY

d Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, WI

Corresponding Author InformationReprint requests to Hugh Garavan, PhD, School of Psychology, Trinity College Dublin, Dublin 2, Ireland

 Supported by Trinity College Institute of Neuroscience (National Education Authority’s Programme for Research in Third Level Institutions grant), U.S. Public Health Service (grant no. DA14100), General Clinical Research Centers (grant no. M01 RR00058), and National Institute of Mental Health (grant nos. MH63434, MH65350).

 No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the author(s) or upon any organization with which the author(s) is/are associated.

PII: S0003-9993(06)01281-0

doi:10.1016/j.apmr.2006.08.333


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