- Email: [email protected]
Vascular and genetic risk factors influence hippocampal thickness
P698
Poster Presentations: P3
P¼0.00153). According to the cognitive impairment level, a moderate positive correlation was observed in the MCI level (FAST stage: 2-3) (r¼0.310, t¼2.62, P¼0.0109), but no correlation was noted in the dementia level (FAST stage 4) (r¼-0.0771, t¼-0.604, P¼0.548). Conclusions: Since the results of this study indicated that the Z score tends to increase with the FAST stage, the degree of atrophy of the medial temporal region is considered to increase with the severity of Alzheimer’s disease. While the Z score increased with the FAST stage in the MCI group, no correlation was observed between the FAST stage and Z score in the Alzheimer’s disease group. Therefore, the VSRAD was suggested to be useful as an index for the follow-up of patients with MCI.
P3-177
VASCULAR AND GENETIC RISK FACTORS INFLUENCE HIPPOCAMPAL THICKNESS
Alison C. Burggren1, Zanjbeel Mahmood1, Moses Lee1, Gary W. Small1, David A. Merrill2, 1UCLA, Los Angeles, CA, USA; 2UCLA Semel Institute for Neuroscience & Human Behavior, Los Angeles, CA, USA. Contact e-mail: [email protected] Background: The relationship between vascular risk factors and
cognitive decline in Alzheimer’s disease (AD) has been investigated with multiple studies. In patients with AD, atrophic changes within the medial temporal lobe (MTL), especially in the hippocampus, indicate early neuronal loss, even in prodromal disease stages. In healthy cognitively-intact people, structural and functional brain changes associated with cerebrovascular risk factors such as high blood pressure, diabetes, or other vascular risk factors suggest regional susceptibility to neuronal damage. In the current study, we chose to investigate whether cerebrovascular risk factors influenced regional cortical thinning in this area. Methods: We used a high-resolution imaging sequence combined with a cortical unfolding procedure to determine the relationship between cerebrovascular risk scores, cortical thickness in the MTL, and genetic risk for AD conferred by the e4 variant of the Apolipoprotein E (APOE) gene in non-demented subjects. We enrolled 50 non-demented, generally healthy subjects (mean (sd) age ¼ 63.9 (11.9)) and used the Framingham Stroke Risk Profile (FSRP) score, a validated measure of 10-year stroke risk developed in the Framingham Heart Study. FSRP is composed of the factors age, systolic blood pressure, use of blood pressure medication, history of diabetes, smoking status, and history of cerebrovascular disease, atrial fibrillation, and left ventricular hypertrophy. Results: Thickness in CA field 2, 3 and the dentate gyrus (CA23DG) region of the hippocampus was associated with FSRP scores in non-demented subjects (n¼50; r ¼ -0.54, p ¼ .01). When stratifying subjects by APOE allelic status, we found that in subjects with the e4 allele, thickness in the CA23DG region was associated with FSRP scores (n¼25; r¼-0.51, p ¼ .01); however, subjects
who did not carry the E4 allele did not exhibit this association (n¼25; r¼-0.01, p ¼ 1). Seperating MCI subjects from the group and investigating this subset separately did not show any significant difference between these groups in terms of their association between thickness in the CA23DG region and FSRP scores. Conclusions: These findings indicate that in non-demented people, APOE e4 genetic risk for AD modulates the relationship between cerebrovascular risk and hippocampal cortical thinning in hippocampus proper. P3-178
WEB-BASED AUTOMATED PET AND MR QUANTIFICATION
Pierrick Bourgeat1, Vincent Dore2, Jurgen Fripp1, David Ames3, Colin L. Masters4, Christopher C. Rowe5, Victor L. Villemagne4, Olivier Salvado1and the AIBL Research Group1CSIRO, Brisbane, Australia; 2CSIRO, Melbourne, Australia; 3National Ageing Research Institute, Melbourne, Australia; 4The Florey Institute of Neuroscience and Mental Health, Parkville, Australia; 5Austin Health, Melbourne, Australia. Contact e-mail: [email protected] Background: Anatomical MR imaging for Alzheimer’s disease looks at patterns of atrophy in key brain regions associated with the disease. Visual inspection is typically limited to the identification of gross changes in the mesial temporal lobe and ventricles. Using the same cloud computing platform for PET quantification (CapAIBLÒ), a new brain volumetric platform is publically available. CurAIBLÒ(Computational qUantification of mRi from AIBL) facilitates visual inspection with z-score maps of cortical thickness, normative graphs, and tables with volume of key structures in relation to a reference population. Methods: MR images are first rigidly registered to the MNI average brain, and segmented into grey and white matter and CSF using Expectation Maximisation Segmentation algorithm. The images are then parcellated using the 20 most similar atlases, selected from a database of 843 images. Hippocampus volume is extracted using the Harmonized Protocol for Hippocampal Volumetry. Cortical GM and hippocampal volumes are reported on a graph with confidence intervals for an aged-matched normal population. Computed z-score maps of cortical thickness are displayed over a normalised template. Key volumes, graphs and mesh rendering are put together on a pdf report which is emailed to the user at the end of the procedure. If a PET image is also provided, the CapAIBL platform is used to analyse the PET using the extracted MR information, and a combined PET-MR analysis report is sent. Results: CurAIBL was evaluated on the AIBL and ADNI databases, and showed similar results to that of FreeSurfer. Conclusions: CurAIBL is a tool to aid visual interpretation of MR images. MRI volumes of key structures in relation to a normal population can assist in the early detection of grey matter atrophy. Typical regional patterns of cortical thinning can also be used for the differential diagnosis of neurodegenerative conditions such as FTD. CurAIBL provides an efficient clinical inspection and quantitative tool for MR imaging and complements PET assessments (such as FDG, Ab or tau imaging) with CapAIBL, offering a comprehensive neuroimaging tool for the assessment of Alzheimer’s disease and other neurodegenerative conditions.
P3-179
A COMPARISON OF HIPPOCAMPAL VOLUME AND INTEGRITY: WHICH IS THE BETTER PREDICTOR OF COGNITIVE DECLINE?
Davide Bruno1, Adam Ciarleglio2, Michel J. Grothe3,4,5,6,7, Jay Nierenberg8, Alvin Bachman8, Stefan J. Teipel3,4,6,9,10, Eva Petkova2,8, John Sidtis2,8, Babak Adrenkani8, Nunzio Pomara2,8, 1Liverpool Hope University, Liverpool, United Kingdom; 2New York University-Langone Medical Center, New York, NY, USA; 3German Center for
Poster Presentations: P3
P¼0.00153). According to the cognitive impairment level, a moderate positive correlation was observed in the MCI level (FAST stage: 2-3) (r¼0.310, t¼2.62, P¼0.0109), but no correlation was noted in the dementia level (FAST stage 4) (r¼-0.0771, t¼-0.604, P¼0.548). Conclusions: Since the results of this study indicated that the Z score tends to increase with the FAST stage, the degree of atrophy of the medial temporal region is considered to increase with the severity of Alzheimer’s disease. While the Z score increased with the FAST stage in the MCI group, no correlation was observed between the FAST stage and Z score in the Alzheimer’s disease group. Therefore, the VSRAD was suggested to be useful as an index for the follow-up of patients with MCI.
P3-177
VASCULAR AND GENETIC RISK FACTORS INFLUENCE HIPPOCAMPAL THICKNESS
Alison C. Burggren1, Zanjbeel Mahmood1, Moses Lee1, Gary W. Small1, David A. Merrill2, 1UCLA, Los Angeles, CA, USA; 2UCLA Semel Institute for Neuroscience & Human Behavior, Los Angeles, CA, USA. Contact e-mail: [email protected] Background: The relationship between vascular risk factors and
cognitive decline in Alzheimer’s disease (AD) has been investigated with multiple studies. In patients with AD, atrophic changes within the medial temporal lobe (MTL), especially in the hippocampus, indicate early neuronal loss, even in prodromal disease stages. In healthy cognitively-intact people, structural and functional brain changes associated with cerebrovascular risk factors such as high blood pressure, diabetes, or other vascular risk factors suggest regional susceptibility to neuronal damage. In the current study, we chose to investigate whether cerebrovascular risk factors influenced regional cortical thinning in this area. Methods: We used a high-resolution imaging sequence combined with a cortical unfolding procedure to determine the relationship between cerebrovascular risk scores, cortical thickness in the MTL, and genetic risk for AD conferred by the e4 variant of the Apolipoprotein E (APOE) gene in non-demented subjects. We enrolled 50 non-demented, generally healthy subjects (mean (sd) age ¼ 63.9 (11.9)) and used the Framingham Stroke Risk Profile (FSRP) score, a validated measure of 10-year stroke risk developed in the Framingham Heart Study. FSRP is composed of the factors age, systolic blood pressure, use of blood pressure medication, history of diabetes, smoking status, and history of cerebrovascular disease, atrial fibrillation, and left ventricular hypertrophy. Results: Thickness in CA field 2, 3 and the dentate gyrus (CA23DG) region of the hippocampus was associated with FSRP scores in non-demented subjects (n¼50; r ¼ -0.54, p ¼ .01). When stratifying subjects by APOE allelic status, we found that in subjects with the e4 allele, thickness in the CA23DG region was associated with FSRP scores (n¼25; r¼-0.51, p ¼ .01); however, subjects
who did not carry the E4 allele did not exhibit this association (n¼25; r¼-0.01, p ¼ 1). Seperating MCI subjects from the group and investigating this subset separately did not show any significant difference between these groups in terms of their association between thickness in the CA23DG region and FSRP scores. Conclusions: These findings indicate that in non-demented people, APOE e4 genetic risk for AD modulates the relationship between cerebrovascular risk and hippocampal cortical thinning in hippocampus proper. P3-178
WEB-BASED AUTOMATED PET AND MR QUANTIFICATION
Pierrick Bourgeat1, Vincent Dore2, Jurgen Fripp1, David Ames3, Colin L. Masters4, Christopher C. Rowe5, Victor L. Villemagne4, Olivier Salvado1and the AIBL Research Group1CSIRO, Brisbane, Australia; 2CSIRO, Melbourne, Australia; 3National Ageing Research Institute, Melbourne, Australia; 4The Florey Institute of Neuroscience and Mental Health, Parkville, Australia; 5Austin Health, Melbourne, Australia. Contact e-mail: [email protected] Background: Anatomical MR imaging for Alzheimer’s disease looks at patterns of atrophy in key brain regions associated with the disease. Visual inspection is typically limited to the identification of gross changes in the mesial temporal lobe and ventricles. Using the same cloud computing platform for PET quantification (CapAIBLÒ), a new brain volumetric platform is publically available. CurAIBLÒ(Computational qUantification of mRi from AIBL) facilitates visual inspection with z-score maps of cortical thickness, normative graphs, and tables with volume of key structures in relation to a reference population. Methods: MR images are first rigidly registered to the MNI average brain, and segmented into grey and white matter and CSF using Expectation Maximisation Segmentation algorithm. The images are then parcellated using the 20 most similar atlases, selected from a database of 843 images. Hippocampus volume is extracted using the Harmonized Protocol for Hippocampal Volumetry. Cortical GM and hippocampal volumes are reported on a graph with confidence intervals for an aged-matched normal population. Computed z-score maps of cortical thickness are displayed over a normalised template. Key volumes, graphs and mesh rendering are put together on a pdf report which is emailed to the user at the end of the procedure. If a PET image is also provided, the CapAIBL platform is used to analyse the PET using the extracted MR information, and a combined PET-MR analysis report is sent. Results: CurAIBL was evaluated on the AIBL and ADNI databases, and showed similar results to that of FreeSurfer. Conclusions: CurAIBL is a tool to aid visual interpretation of MR images. MRI volumes of key structures in relation to a normal population can assist in the early detection of grey matter atrophy. Typical regional patterns of cortical thinning can also be used for the differential diagnosis of neurodegenerative conditions such as FTD. CurAIBL provides an efficient clinical inspection and quantitative tool for MR imaging and complements PET assessments (such as FDG, Ab or tau imaging) with CapAIBL, offering a comprehensive neuroimaging tool for the assessment of Alzheimer’s disease and other neurodegenerative conditions.
P3-179
A COMPARISON OF HIPPOCAMPAL VOLUME AND INTEGRITY: WHICH IS THE BETTER PREDICTOR OF COGNITIVE DECLINE?
Davide Bruno1, Adam Ciarleglio2, Michel J. Grothe3,4,5,6,7, Jay Nierenberg8, Alvin Bachman8, Stefan J. Teipel3,4,6,9,10, Eva Petkova2,8, John Sidtis2,8, Babak Adrenkani8, Nunzio Pomara2,8, 1Liverpool Hope University, Liverpool, United Kingdom; 2New York University-Langone Medical Center, New York, NY, USA; 3German Center for