Literature DB >> 16129627

The prediction of rapid conversion to Alzheimer's disease in mild cognitive impairment using regional cerebral blood flow SPECT.

Kentaro Hirao1, Takashi Ohnishi, Yoko Hirata, Fumio Yamashita, Takeyuki Mori, Yoshiya Moriguchi, Hiroshi Matsuda, Kiyotaka Nemoto, Etsuko Imabayashi, Minoru Yamada, Toshihiko Iwamoto, Kunimasa Arima, Takashi Asada.   

Abstract

Mild cognitive impairment (MCI) comprises a heterogeneous group with a variety of clinical outcomes and they are at risk for developing Alzheimer's disease (AD). The prediction of conversion from MCI to AD using the initial neuroimaging studies is an important research topic. We investigated the initial regional cerebral blood flow (rCBF) measurements using single photon emission computed tomography (SPECT) in individuals with 76 amnesic MCI (52 subjects converted to AD and 24 subjects did not convert to AD at 3-year follow-up) and 57 age- and gender-matched controls. We sought functional profiles associated with conversion to AD, then evaluated the predictive value of the initial rCBF SPECT. As compared with controls, AD converters demonstrated reduced blood flow in the bilateral parahippocampal gyri, precunei, posterior cingulate cortices, bilateral parietal association areas, and the right middle temporal gyrus. Non-converters also demonstrated significant reduction of rCBF in the posterior cingulated cortices and the right caudate nucleus when compared to controls. As compared with non-converters, converters showed reductions of rCBF in the bilateral temporo-parietal areas and the precunei. The logistic regression model revealed that reduced rCBF in the inferior parietal lobule, angular gyrus, and precunei has high predictive value and discriminative ability. Although a cross-validation study is needed to conclude the usefulness of rCBF SPECT for the prediction of AD conversion in individuals with MCI, our data suggest that the initial rCBF SPECT studies of individuals with MCI may be useful in predicting who will convert to AD in the near future.

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Year:  2005        PMID: 16129627     DOI: 10.1016/j.neuroimage.2005.06.066

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  83 in total

1.  A two-year follow-up of cognitive deficits and brain perfusion in mild cognitive impairment and mild Alzheimer's disease.

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2.  Cognitive, genetic, and brain perfusion factors associated with four year incidence of Alzheimer's disease from mild cognitive impairment.

Authors:  Montserrat Alegret; Gemma Cuberas-Borrós; Ana Espinosa; Sergi Valero; Isabel Hernández; Agustín Ruíz; James T Becker; Maitée Rosende-Roca; Ana Mauleón; Oscar Sotolongo; Joan Castell-Conesa; Isabel Roca; Lluís Tárraga; Mercè Boada
Journal:  J Alzheimers Dis       Date:  2014       Impact factor: 4.472

Review 3.  The neuroimaging approach to the assessment of mild cognitive impairment.

Authors:  Giovanni Lucignani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2006-06       Impact factor: 9.236

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Review 6.  Cerebral blood flow regulation and neurovascular dysfunction in Alzheimer disease.

Authors:  Kassandra Kisler; Amy R Nelson; Axel Montagne; Berislav V Zlokovic
Journal:  Nat Rev Neurosci       Date:  2017-05-18       Impact factor: 34.870

7.  Cerebral perfusion correlates of conversion to Alzheimer's disease in amnestic mild cognitive impairment.

Authors:  A Caroli; C Testa; C Geroldi; F Nobili; L R Barnden; U P Guerra; M Bonetti; G B Frisoni
Journal:  J Neurol       Date:  2007-11-09       Impact factor: 4.849

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Review 9.  Emerging biomarkers in cognition.

Authors:  Meredith Wicklund; Ronald C Petersen
Journal:  Clin Geriatr Med       Date:  2013-11       Impact factor: 3.076

10.  Brain SPECT in subtypes of mild cognitive impairment. Findings from the DESCRIPA multicenter study.

Authors:  Flavio Nobili; Giovanni B Frisoni; Florence Portet; Frans Verhey; Guido Rodriguez; Anna Caroli; Jacques Touchon; Piero Calvini; Silvia Morbelli; Fabrizio De Carli; Ugo P Guerra; Laura A Van de Pol; Pieter-Jelle Visser
Journal:  J Neurol       Date:  2008-08-01       Impact factor: 4.849

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