Andrew M. Michael
Affiliations: | 2009 | Imaging Science | Rochester Institute of Technology, Rochester, NY, United States |
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Parents
Sign in to add mentorVince D Calhoun | grad student | 2009 | Rochester Institute of Technology | |
(Imaging schizophrenia: Data fusion approaches to characterize and classify.) |
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Publications
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Eierud C, Michael A, Banks D, et al. (2023) Resting-state functional connectivity in lifelong musicians. Psychoradiology. 3: kkad003 |
Wang P, Wang J, Michael A, et al. (2021) White Matter Functional Connectivity in Resting-State fMRI: Robustness, Reliability, and Relationships to Gray Matter. Cerebral Cortex (New York, N.Y. : 1991) |
Beynel L, Campbell E, Naclerio M, et al. (2021) The Effects of Functionally Guided, Connectivity-Based rTMS on Amygdala Activation. Brain Sciences. 11 |
Harikumar A, Evans DW, Dougherty CC, et al. (2021) A Review of the Default Mode Network in Autism Spectrum Disorders and Attention Deficit Hyperactivity Disorder. Brain Connectivity |
Arbabshirani MR, Preda A, Vaidya JG, et al. (2019) Autoconnectivity: A New Perspective on Human Brain Function. Journal of Neuroscience Methods |
Zhang C, Baum SA, Adduru VR, et al. (2018) Test-retest reliability of dynamic functional connectivity in resting state fMRI. Neuroimage |
Zhang C, Dougherty CC, Baum SA, et al. (2018) Functional connectivity predicts gender: Evidence for gender differences in resting brain connectivity. Human Brain Mapping |
Adduru VR, Michael AM, Helguera M, et al. (2017) Leveraging Clinical Imaging Archives for Radiomics: Reliability of Automated Methods for Brain Volume Measurement. Radiology. 161928 |
Michael AM, Evans E, Moore GJ. (2016) Influence of Group on Individual Subject Maps in SPM Voxel Based Morphometry. Frontiers in Neuroscience. 10: 522 |
Katuwal GJ, Baum SA, Cahill ND, et al. (2016) Inter-Method Discrepancies in Brain Volume Estimation May Drive Inconsistent Findings in Autism. Frontiers in Neuroscience. 10: 439 |