Selected publications

Academic work by Iman Beheshti and collaborators. A selected bibliography, not Cedar client work or a claim of clinical product validation.

10 publications

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

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