You are seeing this message because your Web browser does not support basic Web standards. Find out more about why this message is appearing and what you can do to make your experience on this site better.


ABOUT ARCHIVES
Advanced Search

Welcome   | My Account | E-mail Alerts | Access Rights | Sign In


  Vol. 59 No. 10, October 2002 TABLE OF CONTENTS
  Archives
  •  Online Features
  Original Contribution
 This Article
 •Full text
 •PDF
 • Reply to article
 •Send to a friend
 • Save in My Folder
 •Save to citation manager
 •Permissions
 Citing Articles
 •Citation map
 •Citing articles on HighWire
 •Citing articles on Web of Science (31)
 •Contact me when this article is cited
 Related Content
 •Similar articles in this journal
 Topic Collections
 •Aging/ Geriatrics
 •Cognitive Disorders
 •Alert me on articles by topic
 Social Bookmarking
  Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit Add to Technorati Add to Twitter What's this?

Cognitive and Physiologic Correlates of Subclinical Structural Brain Disease in Elderly Healthy Control Subjects

Ian A. Cook, MD; Andrew F. Leuchter, MD; Melinda L. Morgan, PhD; Elise Witte Conlee, PhD; Steven David; Robert Lufkin, MD; Ashkan Babaie, MD; Jennifer J. Dunkin, PhD; Ruth O'Hara, PhD; Sara Simon, PhD; Amy Lightner, MD; Susan Thomas, MD; David Broumandi, MD; Neeraj Badjatia, MD; Laura Mickes; Rajal K. Mody, MD; Sanjaya Arora, MD; Zimu Zheng, MD; Michelle Abrams, RN; Susan Rosenberg-Thompson, MSN

Arch Neurol. 2002;59:1612-1620.

Context  Healthy elderly persons commonly show 4 types of change in brain structure—cortical atrophy, central atrophy, deep white-matter hyperintensities, and periventricular hyperintensities—as forms of subclinical structural brain disease (SSBD).

Objectives  To characterize the volumes of SSBD present with aging and to determine the associations of SSBD, physiology, and cognitive function.

Design  Cross-sectional study.

Setting  University of California, Los Angeles, Neuropsychiatric Institute.

Subjects  Forty-three community-dwelling healthy control subjects, aged 60 through 93 years.

Main Outcome Measures  Volumetric magnetic resonance imaging, neuropsychological testing, and quantitative electroencephalographic coherence (functional connectivity) between brain regions.

Results  Regression models demonstrated significant relationships between SSBD volumes, age, cognitive performance, and connectivity. Cortical and central atrophy and periventricular hyperintensities had significant associations with age while deep white-matter hyperintensities did not. Posterior atrophy showed stronger associations with age than did anterior atrophy. Only a subset of subjects at older ages showed large SSBD volumes; older subjects primarily showed increasing variance of SSBD. Although all subjects scored within the normal range on cognitive testing, SSBD volume was inversely related to performance, most notably on the Trail-Making Test part B and the Shipley-Hartford Abstract Reasoning test. Coherence had significant associations with SSBD. Path analysis supported mediation of the effects of deep white-matter hyperintensities and periventricular hyperintensities on cognition by altered connectivity. For several measures, cognitive performance was best explained by coherence, and only secondarily by SSBD.

Conclusions  Modest volumes of SSBD were associated with decrements in cognitive performance within the normal range in healthy subjects. Lower coherence was associated with greater volumes of SSBD and increasing age. Path analysis models suggest that brain functional connectivity mediates some effects of SSBD on cognition.


From the University of California, Los Angeles, Neuropsychiatric Institute and the University of California, Los Angeles, School of Medicine.



Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter     What's this?

THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES

Measuring Cerebral Atrophy and White Matter Hyperintensity Burden to Predict the Rate of Cognitive Decline in Alzheimer Disease
Brickman et al.
Arch Neurol 2008;65:1202-1208.
ABSTRACT | FULL TEXT  

Advances in understanding the mechanisms and management of persistent pain in older adults
Karp et al.
Br J Anaesth 2008;101:111-120.
ABSTRACT | FULL TEXT  

Prolonged activation EEG differentiates dementia with and without delirium in frail elderly patients
Thomas et al.
J. Neurol. Neurosurg. Psychiatry 2008;79:119-125.
ABSTRACT | FULL TEXT  

Cognitive Aging, Executive Function, and Fractional Anisotropy: A Diffusion Tensor MR Imaging Study
Grieve et al.
Am. J. Neuroradiol. 2007;28:226-235.
ABSTRACT | FULL TEXT  

White matter hyperintensities as a predictor of neuropsychological deficits post-stroke
Jokinen et al.
J. Neurol. Neurosurg. Psychiatry 2005;76:1229-1233.
ABSTRACT | FULL TEXT  

The Frequency of Executive Cognitive Impairment in Elderly Rehabilitation Inpatients
Kahokehr et al.
J Geriatr Psychiatry Neurol 2004;17:68-72.
ABSTRACT  





HOME | CURRENT ISSUE | PAST ISSUES | TOPIC COLLECTIONS | CME | SUBMIT | SUBSCRIBE | HELP
CONDITIONS OF USE | PRIVACY POLICY | CONTACT US | SITE MAP
 
© 2002 American Medical Association. All Rights Reserved.