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Correlation analysis of changes in structural volume, perfusion and glucose metabolism in Alzheimer's disease, mild cognitive impairment and normal aging

Grant number: 09/17398-1
Support type:Regular Research Grants
Duration: February 01, 2010 - January 31, 2013
Field of knowledge:Health Sciences - Medicine - Medical Radiology
Principal Investigator:Carlos Alberto Buchpiguel
Grantee:Carlos Alberto Buchpiguel
Home Institution: Faculdade de Medicina (FM). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

As the life expectancy is increasing in the general population, dementia has becoming a high prevalent condition in the elderly. The clinical intermediate phase situated between normal cognitive changes related to aging and dementia, especially Alzheimer's disease (AD), is known as Mild Cognitive Impairment (MCI). The possible progression of MCI towards dementia makes the characterization of this entity of great importance to the patient, providing early diagnosis and therapeutic intervention. Imaging using MRI, SPECT and PET can provide different substrates of the cognitive impairment, promoting early diagnosis of the MCI or dementia, far before the symptoms are apparent and specific for that neurodegenerative disorder. Another potential role of neuroimaging is predicting the ones who are going to convert from MCI to Alzheimer´s. Therefore, our purpose is to correlate structural volume changes (VBM-MRI) with rCBF and regional glucose metabolism changes (SPECT and PET), both using voxel-based quantification method, in the same cohort of patients with mild cognitive impairment. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
RONDINA, JANE MARYAM; FERREIRA, LUIZ KOBUTI; DE SOUZA DURAN, FABIO LUIS; KUBO, RODRIGO; ONO, CARLA RACHEL; LEITE, CLAUDIA COSTA; SMID, JERUSA; NITRINI, RICARDO; BUCHPIGUEL, CARLOS ALBERTO; BUSATTO, GERALDO F. Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases. NEUROIMAGE-CLINICAL, v. 17, p. 628-641, 2018. Web of Science Citations: 8.
COUTINHO, ARTUR M. N.; PORTO, FABIO H. G.; DURAN, FABIO L. S.; PRANDO, SILVANA; ONO, CARLA R.; FEITOSA, ESTHER A. A. F.; SPINDOLA, LIVIA; DE OLIVEIRA, MAIRA O.; DO VALE, PATRICIA H. F.; GOMES, HELIO R.; NITRINI, RICARDO; BRUCKI, SONIA M. D.; BUCHPIGUEL, CARLOS A. Brain metabolism and cerebrospinal fluid biomarkers profile of non-amnestic mild cognitive impairment in comparison to amnestic mild cognitive impairment and normal older subjects. ALZHEIMERS RESEARCH & THERAPY, v. 7, SEP 15 2015. Web of Science Citations: 6.
ARTUR M.N. COUTINHO; FÁBIO H.G. PORTO; POLIANA F. ZAMPIERI; MARIA C. OTADUY; TÍBOR R. PERROCO; MAIRA O. OLIVEIRA; RAFAEL F. NUNES; TOULOUSE LEUSIN PINHEIRO; CASSIO M.C. BOTTINO; CLAUDIA C. LEITE; CARLOS A. BUCHPIGUEL. Analysis of the posterior cingulate cortex with [ 18 F]FDG-PET and Naa/mI in mild cognitive impairment and Alzheimer's disease: Correlations and differences between the two methods. Dement. Neuropsychol., v. 9, n. 4, p. -, Dez. 2015.

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