Literature DB >> 19066429

SPECT-identified neuroanatomical predictor of the cognitive effects of donepezil treatment in patients with Alzheimer's disease.

Jin Hongo1, Shutaro Nakaaki, Yoshihiro Shinagawa, Yoshie Murata, Junko Sato, Hiroshi Tatsumi, Junko Tohyama, Tsutomu Soma, Tetsuya Iidaka, Toshiya Fukui, Masaru Mimura, Toshiaki A Furukawa.   

Abstract

BACKGROUND/
OBJECTIVE: We attempted to determine whether the pretreatment regional cerebral blood flow (rCBF) might predict cognitive changes in response to donepezil treatment, as assessed in terms of the Alzheimer Disease Assessment Scale cognitive subscale (ADAS-cog), and in relation to the severity of subcortical hyperintensities (SH).
METHOD: Forty-one patients with Alzheimer's disease (AD) were treated with donepezil at baseline. All the patients underwent a single photon emission computed tomography examination before donepezil therapy. They also completed the ADAS-cog at baseline and after 24 weeks of donepezil therapy. SH were assessed semiquantitatively using a recently developed visual rating scale. We analyzed the correlation between the baseline rCBF and changes in the ADAS-cog score using statistical parametric mapping, including the severity of the SH as a covariate.
RESULTS: Lower pretreatment rCBF levels in the right orbitofrontal cortex (OFC) predicted a better improvement in the ADAS-cog score in response to donepezil therapy. The severity of SH did not appear to influence this correlation.
CONCLUSIONS: This effect may reflect the choline acetyltransferase activity associated with the OFC. The presence of SH did not appear to influence the effect of donepezil therapy on the cognitive function as assessed by ADAS-cog. Copyright 2008 S. Karger AG, Basel.

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Year:  2008        PMID: 19066429     DOI: 10.1159/000181148

Source DB:  PubMed          Journal:  Dement Geriatr Cogn Disord        ISSN: 1420-8008            Impact factor:   2.959


  8 in total

1.  Relationships between cognitive impairment on ADAS-cog and regional cerebral blood flow using SPECT in late-onset Alzheimer's disease.

Authors:  Michio Takahashi; Yasunori Oda; Toshiyuki Okubo; Yukihiko Shirayama
Journal:  J Neural Transm (Vienna)       Date:  2017-05-16       Impact factor: 3.575

2.  Changes in regional cerebral blood flow and functional connectivity in the cholinergic pathway associated with cognitive performance in subjects with mild Alzheimer's disease after 12-week donepezil treatment.

Authors:  Wenjun Li; Piero G Antuono; Chunming Xie; Gang Chen; Jennifer L Jones; B Douglas Ward; Malgorzata B Franczak; Joseph S Goveas; Shi-Jiang Li
Journal:  Neuroimage       Date:  2012-01-08       Impact factor: 6.556

Review 3.  Managing cognitive dysfunction through the continuum of Alzheimer's disease: role of pharmacotherapy.

Authors:  Julien Delrieu; Antoine Piau; Céline Caillaud; Thierry Voisin; Bruno Vellas
Journal:  CNS Drugs       Date:  2011-03       Impact factor: 5.749

4.  Predictors of response to acetylcholinesterase inhibitors in dementia: A systematic review.

Authors:  Federico Emanuele Pozzi; Elisa Conti; Ildebrando Appollonio; Carlo Ferrarese; Lucio Tremolizzo
Journal:  Front Neurosci       Date:  2022-09-20       Impact factor: 5.152

5.  Effects of donepezil on the amplitude of low-frequency fluctuations in the brain of patients with Alzheimer's disease: evidence from resting-state functional magnetic resonance imaging.

Authors:  Hua Yang; Jiangtao Zhang; Jianan Cheng
Journal:  Neuroreport       Date:  2021-08-04       Impact factor: 1.837

6.  A Novel Application of Multiscale Entropy in Electroencephalography to Predict the Efficacy of Acetylcholinesterase Inhibitor in Alzheimer's Disease.

Authors:  Ping-Huang Tsai; Shih-Chieh Chang; Fang-Chun Liu; Jenho Tsao; Yung-Hung Wang; Men-Tzung Lo
Journal:  Comput Math Methods Med       Date:  2015-05-18       Impact factor: 2.238

7.  A Pilot Study on Brain Plasticity of Functional Connectivity Modulated by Cognitive Training in Mild Alzheimer's Disease and Mild Cognitive Impairment.

Authors:  Francesco Barban; Matteo Mancini; Mara Cercignani; Fulvia Adriano; Roberta Perri; Roberta Annicchiarico; Giovanni Augusto Carlesimo; Claudia Ricci; Maria Giovanna Lombardi; Valeria Teodonno; Laura Serra; Giovanni Giulietti; Lucia Fadda; Alessia Federici; Carlo Caltagirone; Marco Bozzali
Journal:  Brain Sci       Date:  2017-04-29

8.  Cognitive Function and Brain Atrophy Predict Non-pharmacological Efficacy in Dementia: The Mihama-Kiho Scan Project2.

Authors:  Ken-Ichi Tabei; Masayuki Satoh; Jun-Ichi Ogawa; Tomoko Tokita; Noriko Nakaguchi; Koji Nakao; Hirotaka Kida; Hidekazu Tomimoto
Journal:  Front Aging Neurosci       Date:  2018-04-12       Impact factor: 5.750

  8 in total

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