Howard J Aizenstein, MD, PhD
Education & Training
Selected Honors & Awards
- Karim, H. T., et al. \Intrinsic functional connectivity in late-life depression: trajectories over the course of pharmacotherapy in remitters and non-remitters.\" Molecular psychiatry 22.3 (2017): 450.
- Lim HK, Nebes R, Snitz B, Cohen A, Mathis C, Price J, Weissfeld L, Klunk W & Aizenstein HJ. (2014) Regional amyloid burden and intrinsic connectivity networks in cognitively normal elderly subjects. Brain. 137: 3327-3338. PMCID: PMC4240287
- Aizenstein HJ, Andreescu C, Edelman KL, Cochran JL, Price J, Butters MA, Karp J, Patel M, & Reynolds CF 3rd. (2011) fMRI correlates of white matter hyperintensities in late-life depression. The American Journal of Psychiatry. 168(10):1075-82. PMCID: PMC3656408
- Aizenstein HJ, Nebes RD, Saxton JA, Price JC, Mathis CA, Tsopelas ND, Ziolko S, James JA, Snitz B, Houck P, Bi W, Cohen A, Lopresti BJ, DeKosky ST, Halligan E, & Klunk WE. (2008) Frequent amyloid deposition without significant cognitive impairment among the elderly. Archives of Neurology. 65(11):1509-17. PMCID: PMC2636844
- Aizenstein HJ, Butters MA, Figurski JL, Meltzer CC, Stenger VA, Reynolds CF 3rd, Carter CS. (2004) Prefrontal and striatal activation during sequence learning in geriatric depression. Presented at the Society for Neuroscience Annual Meeting, San Diego, CA."
Bioengineering Enhances Psychiatric Research
Howard Aizenstein, MD, PhD (Charles F. Reynolds III and Ellen G. Detlefsen Endowed Chair in Geriatric Psychiatry and Professor of Bioengineering and Clinical and Translational Science), is trained as a geriatric psychiatrist and as a computer scientist, and he is recognized for his expertise in magnetic resonance imaging (MRI) analysis methods and their use in clinical research in aging. In collaboration with Tamer...
Recent Research on the Harmonization of Neuroimaging Data Using RAVEL and ComBat
Neuroimaging studies of structural magnetic resonance imaging (MRI) provide invaluable insights into the changes underlying neurodegenerative diseases, such as Alzheimer's disease, but frequently combine data collected from multiple scanners and experimental conditions. These conditions can yield data containing substantial technical variability and biases due to differences in sites, scanners, and image...
New Research on the Intricate Nature of Worry’s Neural Signature
Severe worry is a complex transdiagnostic phenotype independently associated with increased morbidity, including cardiovascular diseases, cognitive impairment, and accelerated brain aging. A group of investigators, including Pitt Psychiatry scientists Andrew Gerlach, PhD (postdoctoral scholar); Helmet Karim, PhD (Assistant Professor of Psychiatry and Bioengineering); Joseph Kazan, MD (postdoctoral scholar); Howard...
New Research: Women with a History of Sexual Trauma Are at Risk for Poor Brain Health Later in Life
A team of investigators including Pitt Psychiatry scientists Rebecca Thurston, PhD (Pittsburgh Foundation Chair in Women's Health and Dementia and Professor of Psychiatry, Clinical and Translational Science, Epidemiology, and Psychology); Karen Jakubowski, PhD (Assistant Professor of Psychiatry); Minjie Wu, PhD (Assistant Professor of Psychiatry); and Howard Aizenstein, MD, PhD (Charles F. Reynolds III and Ellen G...