- University of Pittsburgh, MD, 2021
- University of Pittsburgh, PhD, 2020
- Johns Hopkins University, BA, 2012
Education & Training
Ly, M., Foley, L., Manivannan, A., Hitchens, K.T., Richardson, R.M., Modo, M. Mesoscale diffusion magnetic resonance imaging of the ex vivo human hippocampus(2020). Human Brain Mapping.Cover illustration.
Lin, C.*, Ly, M.*, Karim, H.T., Wei, W., Snitz, B.E., Klunk, W.E., Aizenstein, H.J. The longitudinal effect of amyloid on the resting-state functional connectivity in cognitively normal older adults (2020) Alzheimer’s Research & Therapy.12(1): 1-10.*co-first authors.
Ly, M.,Yu, G.Z., Muppidi, N.R., Karim, H.T., Mizuno, A., Klunk, W.E., Aizenstein, H.J. for the Alzheimer’s Disease Neuroimaging Initiative. Improving Brain Age Prediction Models: Incorporation of Amyloid Status in Alzheimer’s Disease (2020) Neurobiology of Aging.87: 44-48.
Raji CA, Ly M, Benzinger TLS. Overview of MR Imaging Volumetric Quantification in Neurocognitive Disorders. Top Magn Reson Imaging. 2019 Dec;28(6):311-315. doi: 10.1097/RMR.0000000000000224. PMID: 31794503.
Wu M, Mennin DS, Ly M, Karim HT, Banihashemi L, Tudorascu DL, Aizenstein HJ, Andreescu C. When worry may be good for you: Worry severity and limbic-prefrontal functional connectivity in late-life generalized anxiety disorder. J Affect Disord. 2019 Oct 1;257:650-657. doi: 10.1016/j.jad.2019.07.022. Epub 2019 Jul 5. PMID: 31357162; PMCID: PMC6711791.
Mizuno A, Ly M, Aizenstein HJ. A Homeostatic Model of Subjective Cognitive Decline. Brain Sci. 2018 Dec 19;8(12):228. doi: 10.3390/brainsci8120228. PMID: 30572628; PMCID: PMC6316074.
Ly M, Andreescu C. Advances and Barriers for Clinical Neuroimaging in Late-Life Mood and Anxiety Disorders. Curr Psychiatry Rep. 2018 Mar 1;20(1):7. doi: 10.1007/s11920-018-0870-6. PMID: 29492705.
Mizuno, A., Karim, H.T., Rangarajan, A., Ly, M., Cohen, A.D., Lopresti, B.J., Mathis, C.A., Klunk, W.E., Aizenstein, H.J., Snitz, B.E. An effect of education on memory-encoding activation in subjective cognitive decline (2021). Journal of Alzheimer’s Disease.
Ly, M.*, Raji, C.A.*, Yu, G., Wang, Q., Wang, Y., Schindler, S., An, H., Samara, A., Eisenstein, S.A., Hershey, T., Smith, G., Klein, S., Ances, B., Morris, J.C., Benzinger, T.L. Obesity and White Matter Neuroinflammation Related Edema in Alzheimer’s Disease Biomarker Negative Cognitively Normal Individuals (2021). Journal of Alzheimer’s Disease. 79(4): 1801-1811. *co-first authors.
Yu, G.Z., Ly, M., Karim, H.T., Muppidi, N., Aizenstein, H.J., Ibinson, J.W. Accelerated brain aging in chronic low back pain (2021). Brain Research. 1755, 147263.
Ly, M., Karim, H.T., Becker, J.T., Lopez, O.L., Aizenstein, H.J., Reynolds, C.F. III., Zmuda, M.D., Butters, M.A. Late-life depression and increased risk of dementia: a longitudinal cohort study (2021). Translational Psychiatry. 11(1): 1-10.
Karim, H.T., Ly, M., Yu, G.Z., Krafty, R., Tudorsacu, D.L., Aizenstein, H.J., Andreescu, C. Aging faster: worry and rumination in late life are associated with greater brain age (2021). Neurobiology of Aging. 101 (13-21).
Maria’s thesis work has focused on the development and application of a machine-learning based brain age algorithm in various neurodegenerative conditions including Alzheimer’s disease, late-life anxiety, and depression. Her other work has also investigated the impacts of various modifiable risk factors, including obesity and hypertension on neuroinflammation, as well as disease states including subjective cognitive decline, chronic pain, and anxiety disorders.
BRAIN AGE AS A MEASURE OF BRAIN RESERVE IN NEUROPSYCHIATRIC DISORDERS