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Principal Investigator  
Principal Investigator's Name: Seyyed Mohammad Hassan Haddad
Institution: University of Western Ontario
Department: Imaging Research Laboratories
Country:
Proposed Analysis: In our research group, recently we developed novel brain activity metrics based on low-frequency fluctuation of the resting-state fMRI signal [1-3]. In a research study we want to examine the correlation between these neuronal activity metrics and beta amyloid protein "plaques" deposition within the brain. To this end we need to use amyloid PET along with the corresponding resting-state fMRI (rs-fMRI) for sufficient number of subjects with Alzheimer Disease (AD). This data is available in ADNI which would be helpful for this research study. References [1] S. Kazemifar et al., “Spontaneous low frequency BOLD signal variations from resting-state fMRI are decreased in Alzheimer disease,” PLoS One, vol. 12, no. 6, p. e0178529, Jun. 2017. [2] S. M. H. Haddad et al, “Frequency-dependent resting-state brain activity mapping: comparing healthy elderly to mild cognitive impairment and Alzheimer’s disease,” Alzheimer's Association International Conference (AAIC), Los Angeles, USA, 14-18 July, 2019. [3] S. M. H. Haddad et al, “Brain activity mapping based on low-frequency fluctuations of the resting-state BOLD signal: comparing healthy elderly to mild cognitive impairment and Alzheimer’s disease,” 27th annual meeting & exhibition of International Society for Magnetic Resonance in Medicine (ISMRM 2019), Montreal, Canada, 10-13 May, 2019.
Additional Investigators  
Investigator's Name: Robert Bartha
Proposed Analysis: In our research group, recently we developed novel brain activity metrics based on low-frequency fluctuation of the resting-state fMRI signal [1-3]. In a research study we want to examine the correlation between these neuronal activity metrics and beta amyloid protein "plaques" deposition within the brain. To this end we need to use amyloid PET along with the corresponding resting-state fMRI (rs-fMRI) for sufficient number of subjects with Alzheimer Disease (AD). This data is available in ADNI which would be helpful for this research study. References [1] S. Kazemifar et al., “Spontaneous low frequency BOLD signal variations from resting-state fMRI are decreased in Alzheimer disease,” PLoS One, vol. 12, no. 6, p. e0178529, Jun. 2017. [2] S. M. H. Haddad et al, “Frequency-dependent resting-state brain activity mapping: comparing healthy elderly to mild cognitive impairment and Alzheimer’s disease,” Alzheimer's Association International Conference (AAIC), Los Angeles, USA, 14-18 July, 2019. [3] S. M. H. Haddad et al, “Brain activity mapping based on low-frequency fluctuations of the resting-state BOLD signal: comparing healthy elderly to mild cognitive impairment and Alzheimer’s disease,” 27th annual meeting & exhibition of International Society for Magnetic Resonance in Medicine (ISMRM 2019), Montreal, Canada, 10-13 May, 2019.