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2026 · Journal of Alzheimer's Disease
White matter injury, brain aging, and cognitive decline beyond amyloid/tau
Beheshti I, Elkana O. Published online November 3, 2026.
Observational work examining white-matter injury, brain aging and cognitive outcomes. It is research evidence, not a diagnostic product validation.
- Brain Health & Neuroimaging
- Aging, AgeTech & Digital Aging Care
2026 · Brain Imaging and Behavior
Neuroanatomical signatures of chronotype in young adults
Beheshti I, Elkana O. 20, article 80. Published April 25, 2026.
A study of sleep-timing preference and brain structure, reporting both null primary findings and exploratory observations with their limitations.
- Brain Health & Neuroimaging
- Mental Health & Biomarkers
2025 · Drug Discovery Today
Advancements and challenges in using AI for biomarker detection in early Alzheimer's disease
Beheshti I, Albensi BC, Freitas A, Ghafourian T. 30(7), 104415.
A review of AI approaches, biomedical data and the challenges of translating biomarker research into practice.
- Drug Development & Trial Analytics
- Brain Health & Neuroimaging
- Mental Health & Biomarkers
2025 · Aging and Disease
Neuroanatomical Signature of the Transition from Normal Cognition to MCI in Parkinson's Disease
Beheshti I, Perron J, Ko JH. 16(1), 619–632. 2025 issue; first published online in 2024.
Research on neuroanatomy and cognitive impairment in Parkinson's disease; relevant to longitudinal study design and biomarker evaluation.
- Brain Health & Neuroimaging
- Aging, AgeTech & Digital Aging Care
- Drug Development & Trial Analytics
2024 · npj Parkinson's Disease
Differences in brain aging between sexes in Parkinson's disease
Beheshti I, Booth S, Ko JH. 10, article 35.
An investigation of sex-related differences in MRI-derived brain aging, highlighting the importance of subgroup-aware analyses.
- Brain Health & Neuroimaging
- Aging, AgeTech & Digital Aging Care
2022 · IEEE Journal of Biomedical and Health Informatics
Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation
Beheshti I, Ganaie MA, Paliwal V, Rastogi A, Razzak I, Tanveer M. 26(4), 1432-1440.
A comparison of prediction algorithms supporting careful model selection rather than reliance on a single method.
- Brain Health & Neuroimaging
- Medical Devices & Digital Health
- Mental Health & Biomarkers
2022 · Computer Methods and Programs in Biomedicine
The accuracy of T1-weighted voxel-wise and region-wise metrics for brain age estimation
Beheshti I, Maikusa N, Matsuda H. 214, 106585.
Research on how imaging representations affect prediction performance and the choice of an analysis pipeline.
- Brain Health & Neuroimaging
- Medical Devices & Digital Health
2021 · Human Brain Mapping
Patch-wise brain age longitudinal reliability
Beheshti I, Potvin O, Duchesne S. 42(3), 690-698. First published online in 2020.
A study of repeatability over time, an important distinction from one-time prediction accuracy.
- Brain Health & Neuroimaging
- Medical Devices & Digital Health
2019 · NeuroImage: Clinical
Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme
Beheshti I, Nugent S, Potvin O, Duchesne S. 24, 102063.
A method addressing age-related prediction bias, with implications for how brain-age differences are interpreted.
- Brain Health & Neuroimaging
- Drug Development & Trial Analytics
2019 · NeuroImage
A novel patch-based procedure for estimating brain age across adulthood
Beheshti I, Gravel P, Potvin O, Dieumegarde L, Duchesne S. 197, 618-624.
A patch-based approach to MRI-derived age estimation; part of the founder's computational imaging research.
- Brain Health & Neuroimaging