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A four-year prospective study of cognitive functioning in Huntington's disease

Published online by Cambridge University Press:  14 July 2006

JULIANNA WARD
Affiliation:
Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, Maryland
JEANNIE-MARIE SHEPPARD
Affiliation:
Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, Maryland
BARNETT SHPRITZ
Affiliation:
Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, Maryland
RUSSELL L. MARGOLIS
Affiliation:
Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, Maryland
ADAM ROSENBLATT
Affiliation:
Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, Maryland
JASON BRANDT
Affiliation:
Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, Maryland

Abstract

The contribution of neurologic, genetic, and demographic variables to decline in cognition was examined in 70 early- to mid-stage patients with Huntington's disease (HD) using random effects modeling. Study participants were followed prospectively at baseline and at four annual reevaluations. Only modest decline was noted on most neuropsychological variables. Neurologic dysfunction, assessed using the Quantified Neurologic Examination (QNE), proved to be the strongest predictor of cognitive decline. While significantly predictive of more rapid decline in neurologic functioning, CAG repeat length was not generally related to cognitive decline after adjusting for QNE, with the exception of performance on a single test of visual scanning and psychomotor speed (i.e., Trail Making Test, Part A). We propose that CAG repeat length is more closely linked with changes in basal ganglia that predominate in early- to mid-stage HD than with cortical degeneration seen later in disease progression. Such a relationship would explain the predictive value that CAG repeat length plays in changes associated with automatic motor response programs (e.g., QNE and Trail Making Test, Part A) but not in dysfunction on tasks requiring higher-order processing. (JINS, 2006, 12, 445–454.)

Type
Research Article
Copyright
© 2006 The International Neuropsychological Society

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