Iman Beheshti

ORCID: 0000-0001-5893-3987
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About
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Research Areas
  • Dementia and Cognitive Impairment Research
  • Neurological Disease Mechanisms and Treatments
  • Cerebrovascular and Carotid Artery Diseases
  • Alzheimer's disease research and treatments
  • Cardiovascular Health and Disease Prevention
  • Functional Brain Connectivity Studies
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Acute Ischemic Stroke Management

University of Manitoba
2023-2025

Aim Despite the clinical importance and significant social burden of neuropsychiatric symptoms (NPS) in dementia, underlying neurobiological mechanism remains poorly understood. Recently, neuroimaging‐derived brain‐age estimation by machine‐learning analysis has shown promise as an individual‐level biomarker. We investigated relationship between NPS amnestic mild cognitive impairment (MCI) early dementia. Methods In this cross‐sectional study, data, including inventory (NPI), structural...

10.1111/pcn.13777 article EN cc-by Psychiatry and Clinical Neurosciences 2025-01-17

White matter hyperintensities (WMHs) and cerebral microbleeds are widespread among aging population linked with cognitive deficits in mild impairment (MCI), vascular MCI (V-MCI), Alzheimer's disease without (AD) or a component (V-AD). In this study, we aimed to investigate the association between brain age, which reflects global health, cerebrovascular lesion load context of pathological diverse forms clinically-defined neurodegenerative conditions.

10.3389/frdem.2024.1380015 article EN Frontiers in Dementia 2024-06-21

Abstract Background Despite the clinical importance and significant social burden of neuropsychiatric symptoms (NPS) in dementia, underlying neurobiological mechanism remains poorly understood. Recently, neuroimaging‐derived brain‐age estimation by machine‐learning analysis has shown promise as an individual‐level biomarker. We investigated relationship between NPS amnestic mild cognitive impairment (MCI) early dementia. Method Clinical data, including inventory (NPI), structural brain MRI...

10.1002/alz.087857 article EN cc-by Alzheimer s & Dementia 2024-12-01

Abstract Background Despite the clinical importance and significant social burden of neuropsychiatric symptoms (NPS) in dementia, underlying neurobiological mechanism remains poorly understood. Recently, neuroimaging‐derived brain‐age estimation by machine‐learning analysis has shown promise as an individual‐level biomarker. We investigated relationship between NPS amnestic mild cognitive impairment (MCI) early dementia. Method Clinical data, including inventory (NPI), structural brain MRI...

10.1002/alz.093747 article EN cc-by Alzheimer s & Dementia 2024-12-01

ABSTRACT INTRODUCTION White matter hyperintensities (WMHs) and cerebral microbleeds are widespread among aging population linked with cognitive deficits in mild impairment (MCI), vascular MCI (V-MCI), Alzheimer’s disease without (AD) or a component (V-AD). In this study, we aimed to investigate the association between brain age, which reflects global health, cerebrovascular lesion load context of pathological diverse forms clinically-defined neurodegenerative conditions. METHODS We computed...

10.1101/2023.10.04.23296558 preprint EN cc-by-nd medRxiv (Cold Spring Harbor Laboratory) 2023-10-05

Abstract Background We aimed to investigate the association between cortical brain age and white matter hyperintensities (WMH) in diverse forms of clinically‐defined vascular conditions. Our hypothesis was that a higher WMH burden would be associated with all clinical subtypes. Method used standardized MRI data obtained from participants COMPASS‐ND cohort CCNA. standard linear support vector regression algorithm estimate age, matching chronological anatomical measurements FreeSurfer toolbox...

10.1002/alz.073321 article EN Alzheimer s & Dementia 2023-12-01

Abstract Background We aimed to investigate the association between cortical brain age and white matter hyperintensities (WMH) in diverse forms of clinically‐defined vascular conditions. Our hypothesis was that a higher WMH burden would be associated with all clinical subtypes. Method used standardized MRI data obtained from participants COMPASS‐ND cohort CCNA. standard linear support vector regression algorithm estimate age, matching chronological anatomical measurements FreeSurfer toolbox...

10.1002/alz.081609 article EN Alzheimer s & Dementia 2023-12-01
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