Richard Camicioli

Associate/Full Professor

University of Alberta

Canada

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About

Richard Camicioli is an Associate Professor at the University of Alberta in Canada. His research focuses on neurodegenerative diseases, particularly Parkinson's disease, with recent work addressing topics such as gait protocols, cognitive decline prediction, and the impact of neuropsychiatric symptoms. He has contributed to the development of programs aimed at improving dementia literacy and has published extensively on the subject of brain health and diagnostic biases in MRI databases.

Articles (16)

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2025

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2023

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2023

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2023

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2023

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2023

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2023

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2023

Collaborators (15)

Maria Romano

University of Naples Federico II

ITALY

Richard Camicioli

Research Interests

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Articles (16)

A framework to standardize gait study protocols in Parkinson's disease

Attention Blocks Improve White Matter Hyperintensity Semantic Segmentation using U-Nets

Brain health PRO/Santé cerveau PRO: The development of a web-based program for dementia literacy and risk factor reduction

Kinematic and Kinetic Gait Features Associated With Mild Cognitive Impairment in Parkinson’s Disease

Sex Differences in Neuropsychiatric Symptoms in Alpha‐Synucleinopathies: A Systematic Review and Meta‐Analysis

Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier?

Elicited clinician knowledge did not improve dementia risk prediction in individuals with mild cognitive impairment

Prevention of Falls in Parkinson's Disease: Guidelines and Gaps

Machine learning-based prediction of longitudinal cognitive decline in early Parkinson’s disease using multimodal features

Neuropsychiatric Symptoms and Parkinson Disease: Are We Looking Carefully Enough?

Neuropsychiatric Symptoms and Parkinson Disease

Effects of Exercise Alone or Combined With Cognitive Training and Vitamin D Supplementation to Improve Cognition in Adults With Mild Cognitive Impairment

Effects of race, baseline cognition, and APOE on the association of affective dysregulation with incident dementia: A longitudinal study of dementia-free older adults

Identifying key multi-modal predictors of incipient dementia in Parkinson’s disease: a machine learning analysis and Tree SHAP interpretation

Brain iron content in cerebral amyloid angiopathy using quantitative susceptibility mapping

Subcortical volumes in cerebral amyloid angiopathy compared with Alzheimer’s disease and controls

Collaborators (15)

Maria Romano

Elisa Pelosin

Nils D Forkert

Francesco Amato

Jeffrey Hausdorff

Howard Feldman

Eric Smith

David Hogan

Carlo Colosimo

Richard Frayne

Michela Russo

Oury Monchi

Meg Morris

Paolo Bonato

Alice Nieuwboer

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