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P1‐292: Glucose metabolic, amyloid, and tau brain imaging in down syndrome and dementia
Author(s) -
Small Gary W.,
Nelson Linda D.,
Siddarth Prabha,
Kepe Vladimir,
Lavretsky Helen,
Ercoli Linda M.,
Miller Karen J.,
Bookheimer Susan Y.,
Huang S.-C.,
Phelps Michael E.,
Barrio Jorge R.
Publication year - 2008
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2008.05.882
Subject(s) - dementia , positron emission tomography , medicine , statistical parametric mapping , posterior cingulate , neuropsychology , alzheimer's disease , population , endocrinology , pathology , psychology , nuclear medicine , disease , psychiatry , magnetic resonance imaging , cognition , radiology , environmental health
the natural history of mild cognitive impairment and Alzheimer’s disease and for testing potential new pharmaceuticals. We present here early results from the first timepoint of the European Union and EFPIA sponsored InnoMed / AddNeuroMed multi-center MRI study of longitudinal changes in Alzheimer’s disease (AD). Methods: MRI data compatible with the ADNI image acquisition protocol was collected from 85 AD patients, 87 subjects with MCI and 88 controls at six European MRI sites and uploaded to the Loris database system at the Karolinska Institutet, Sweden. The underlying database system was developed at the McGill Brain Imaging Centre, Montreal. Following careful quality control the 3D T1-weighted images were processed using the Civet image processing pipeline to automatically determine whole brain volumes normalized to the intracranial cavity (ICC) and mean cortical thickness measures. Right and left hippocampal volumes were determined by manual delineation by an expert observer and normalized to the ICC. Results: Ninety-six percent of T1-weighted volumes passed the quality control criteria. Whole brain volumes, cortical thickness measures and hippocampal volumes showed significant differences between the Alzheimer’s and MCI groups and between the Alzheimer’s and control groups. Only hippocampal volumes showed significant difference between the control and MCI groups. Conclusions: The AddNeuroMed study has collected high quality data for 96% of the subjects enrolled across six different sites. Early results show the sensitivity of hippocampal volumes in distinguishing between Alzheimer’s disease, mild cognitive impairment and control groups. These results will allow us to refine our strategy for further more detailed analyses.