Literature DB >> 7872878

Temporal lobe perfusion on single photon emission computed tomography predicts the rate of cognitive decline in Alzheimer's disease.

N Wolfe1, B R Reed, J L Eberling, W J Jagust.   

Abstract

OBJECTIVE: To examine the ability of relative regional cerebral blood flow as measured by single photon emission computed tomography to predict longitudinal course of cognitive decline in Alzheimer's disease.
DESIGN: Single photon emission computed tomography using the blood flow tracer 123I-N-isopropyl-p-iodoamphetamine was performed at initial evaluation and was used to predict the rate of cognitive decline over a follow-up period from 1 to 4 years.
SETTING: Outpatient university dementia clinic and center for functional imaging. PARTICIPANTS: Twenty-nine patients met National Institute of Neurological and Communicative Disorders and Stroke-Alzheimer's Disease and Related Disorders Association criteria for probably or possible AD.
RESULTS: Temporal lobe regional cerebral blood flow ratio at initial evaluation correlated with rate of decline in Mini-Mental State Examination over the longitudinal follow-up. Temporal regional cerebral blood flow ratio also predicted rate of decline of specific memory measures on the California Verbal Learning Test. Neither parietal nor frontal ratios predicted rate of cognitive decline. Dorsolateral frontal hypoperfusion was associated with the emergence of perseverative behaviors over time. Age, prior dementia duration, estimated prior rate of decline, and initial severity did not predict rate of cognitive decline.
CONCLUSION: Results suggest that regional perfusion on single photon emission computed tomography may predict cognitive decline in Alzheimer's disease better than these demographic and course variables.

Entities:  

Mesh:

Year:  1995        PMID: 7872878     DOI: 10.1001/archneur.1995.00540270049018

Source DB:  PubMed          Journal:  Arch Neurol        ISSN: 0003-9942


  11 in total

Review 1.  Dynamic single photon emission computed tomography--basic principles and cardiac applications.

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Review 2.  Neuropsychological differences between frontotemporal dementia and Alzheimer's disease: a review.

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Journal:  Neuropsychol Rev       Date:  2005-09       Impact factor: 7.444

Review 3.  Molecular neuroimaging in Alzheimer's disease.

Authors:  William Jagust
Journal:  NeuroRx       Date:  2004-04

4.  Diffusion and perfusion MR imaging in cases of Alzheimer's disease: correlations with cortical atrophy and lesion load.

Authors:  A Bozzao; R Floris; M E Baviera; A Apruzzese; G Simonetti
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5.  Initial mini-mental state and cerebral perfusion in Alzheimer's disease.

Authors:  T Ones; I Midi; F Dede; N Tuncer; T Y Erdil; O Onultan; S Ceylan; S Inanir; H T Turoglu
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6.  Age related cognitive decline: a clinical entity? A longitudinal study of cerebral blood flow and memory performance.

Authors:  P Celsis; A Agniel; D Cardebat; J F Démonet; P J Ousset; M Puel
Journal:  J Neurol Neurosurg Psychiatry       Date:  1997-06       Impact factor: 10.154

7.  Temporal lobe abnormalities in dementia and depression: a study using high resolution single photon emission tomography and magnetic resonance imaging.

Authors:  K P Ebmeier; N Prentice; A Ryman; E Halloran; J E Rimmington; J K Best; G M Goodwin
Journal:  J Neurol Neurosurg Psychiatry       Date:  1997-11       Impact factor: 10.154

8.  Constraints on the cerebral basis for semantic processing from neuroimaging studies of Alzheimer's disease.

Authors:  M Grossman; F Payer; K Onishi; T White-Devine; D Morrison; M D'Esposito; K Robinson; A Alavi
Journal:  J Neurol Neurosurg Psychiatry       Date:  1997-08       Impact factor: 10.154

9.  Neuropsychology of memory and SPECT in the diagnosis and staging of dementia of Alzheimer type.

Authors:  J D Greene; K Miles; J R Hodges
Journal:  J Neurol       Date:  1996-02       Impact factor: 4.849

10.  Joint analysis of structural and perfusion MRI for cognitive assessment and classification of Alzheimer's disease and normal aging.

Authors:  Duygu Tosun; Pouria Mojabi; Michael W Weiner; Norbert Schuff
Journal:  Neuroimage       Date:  2010-04-18       Impact factor: 6.556

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