TY - JOUR
T1 - Motor, affective, cognitive, and perceptual symptom changes over time in individuals with Parkinson’s disease who develop freezing of gait
AU - Faerman, Michelle V.
AU - Cole, Cayli
AU - Van Ooteghem, Karen
AU - Cornish, Benjamin F.
AU - Howe, Erika E.
AU - Siu, Verena
AU - Norouzian, Pershia
AU - Black, Alanna
AU - Fraser, Julia E.
AU - Grimes, David A.
AU - Jog, Mandar
AU - Kwan, Donna
AU - Lang, Anthony E.
AU - Lawrence-Dewar, Jane M.
AU - Levine, Brian
AU - Marras, Connie
AU - Masellis, Mario
AU - McIlroy, William E.
AU - McLaughlin, Paula M.
AU - Montero-Odasso, Manuel
AU - Orange, J. B.
AU - Peltsch, Alicia J.
AU - Pieruccini-Faria, Frederico
AU - Roberts, Angela C.
AU - Sarquis-Adamson, Yanina
AU - Steeves, Thomas D. L.
AU - Tan, Brian
AU - Troyer, Angela K.
AU - ONDRI Investigators
AU - Troyer, Angela
AU - Roberts, Angela
AU - Peltsch, Alicia
AU - McLaughlin, Paula
AU - Woulfe, John
AU - Dixon, Roger A.
AU - Munoz, David
AU - Zamyadi, Mojdeh
AU - Sujanthan, Sujeevini
AU - Zou, Guangyong
AU - Uthirakumaran, Abiramy
AU - Theyers, Athena
AU - Sunderland, Kelly
AU - Strother, Stephen
AU - Raamana, Pradeep
AU - Lou, Wendy
AU - Binns, Malcolm
AU - Beaton, Derek
AU - Arnott, Stephen
AU - Ozzoude, Miracle
AU - Adamo, Sabrina
AU - Holmes, Melissa
AU - Berezuk, Courtney
AU - Symons, Sean
AU - Scott, Christopher
AU - Ramirez, Joel
AU - Nanayakkara, Nuwan
AU - Haddad, Hassan
AU - Bartha, Rob
AU - Farhan, Sali
AU - Rogaeva, Ekaterina
AU - Robinson, John
AU - Hegele, Rob
AU - Ghani, Mahdi
AU - Dilliott, Allison Ann
AU - Bulman, Dennis
AU - Steeves, Tom
AU - Lang, Anthony
AU - Grimes, David
AU - Breen, David
AU - Swartz, Richard H.
AU - Saposnik, Gustavo
AU - Sahlas, Demetrios
AU - Mandzia, Jennifer
AU - Hassan, Ayman
AU - Dowlatshahi, Dar
AU - Casaubon, Leanne
AU - Bonnick, Alisia
AU - Munoz, Doug
AU - Coe, Brian
AU - Chen, Ying
AU - Brien, Don
AU - Defrawy, Sherif
AU - Tayyari, Faryan
AU - Mandelcorn, Efrem
AU - Margolin, Ed
AU - Leontieva, Elena
AU - Hudson, Chris
AU - Hatch, Wendy
AU - Greenberg, Barry
AU - Cornish, Ben
AU - McIlroy, Bill
AU - Fraser, Julia
AU - Lawrence-Dewar, Jane
AU - Zinman, Lorne
AU - Turnbull, John
AU - Shoesmith, Christen
AU - Chum, Marvin
AU - Abrahao, Agessandro
AU - Varriano, Brenda
AU - Tartaglia, Carmela
AU - Tang-Wai, David
AU - Seitz, Dallas
AU - Rajji, Tarek
AU - Pollock, Bruce
AU - Pasternak, Stephen
AU - Kumar, Sanjeev
AU - Freedman, Morris
AU - Frank, Andrew
AU - Fischer, Corinne
AU - Finger, Elizabeth
AU - Borrie, Michael
AU - Black, Sandra E.
AU - Bronskill, Susan
AU - Rashkovan, Natalie
AU - Kleinstiver, Peter
AU - Strong, Michael
AU - Martens, Kaylena A.Ehgoetz
N1 - Publisher Copyright:
© Springer-Verlag GmbH Germany, part of Springer Nature 2025.
PY - 2025/5
Y1 - 2025/5
N2 - Freezing of gait (FOG) affects up to 80% of individuals living with advanced Parkinson’s disease and approximately 20% in early stages. Associated with motor, affective, cognitive, and sensory difficulties, FOG is challenging to treat due to its unknown etiology. Approaches and findings in research studies predicting FOG remain inconsistent. To help address discrepant methods and results, this prospective, longitudinal study evaluated motor, affective, cognitive, and perceptual predictors of FOG. Data from 120 individuals with idiopathic Parkinson’s disease from the Ontario Neurodegenerative Disease Research Initiative cohort were analyzed across two years to evaluate the strongest FOG predictors. Over this period, 25 individuals developed FOG (transitional freezers), 71 remained non-freezers, and the remaining 24 participants experienced freezing at baseline and follow-up (continuous freezers). Two-way Time*Group ANOVAs and non-parametric equivalents assessed data longitudinally. Separate logistic regression models evaluated FOG predictors one and two years prior to onset. Transitional freezers showed lower baseline immediate verbal recall z-scores than non-freezers. Transitional freezers’ dyskinesia severity, postural instability/gait difficulty, and depression increased, and attentional set-shifting and delayed visuospatial memory declined. Motor symptoms and longer disease duration predicted FOG two years prior, with affective and cognitive measures predictive one year prior. Models had high specificity (2 years: 97.0%, 1 year: 90.4%) but not sensitivity (2 years: 43.8%, 1 year: 52.9%), with accuracies of 86.7% and 81.2%, respectively. These findings highlight the change in FOG predictors relative to its onset time, which might explain conflicting findings to date. Future work should consider whether predictors vary by disease stage or FOG ‘subtype’.
AB - Freezing of gait (FOG) affects up to 80% of individuals living with advanced Parkinson’s disease and approximately 20% in early stages. Associated with motor, affective, cognitive, and sensory difficulties, FOG is challenging to treat due to its unknown etiology. Approaches and findings in research studies predicting FOG remain inconsistent. To help address discrepant methods and results, this prospective, longitudinal study evaluated motor, affective, cognitive, and perceptual predictors of FOG. Data from 120 individuals with idiopathic Parkinson’s disease from the Ontario Neurodegenerative Disease Research Initiative cohort were analyzed across two years to evaluate the strongest FOG predictors. Over this period, 25 individuals developed FOG (transitional freezers), 71 remained non-freezers, and the remaining 24 participants experienced freezing at baseline and follow-up (continuous freezers). Two-way Time*Group ANOVAs and non-parametric equivalents assessed data longitudinally. Separate logistic regression models evaluated FOG predictors one and two years prior to onset. Transitional freezers showed lower baseline immediate verbal recall z-scores than non-freezers. Transitional freezers’ dyskinesia severity, postural instability/gait difficulty, and depression increased, and attentional set-shifting and delayed visuospatial memory declined. Motor symptoms and longer disease duration predicted FOG two years prior, with affective and cognitive measures predictive one year prior. Models had high specificity (2 years: 97.0%, 1 year: 90.4%) but not sensitivity (2 years: 43.8%, 1 year: 52.9%), with accuracies of 86.7% and 81.2%, respectively. These findings highlight the change in FOG predictors relative to its onset time, which might explain conflicting findings to date. Future work should consider whether predictors vary by disease stage or FOG ‘subtype’.
KW - Freezing of gait
KW - Parkinson’s disease
KW - Prediction
KW - Risk factors
UR - https://www.scopus.com/pages/publications/105003270336
U2 - 10.1007/s00415-025-13034-y
DO - 10.1007/s00415-025-13034-y
M3 - Article
C2 - 40198411
AN - SCOPUS:105003270336
SN - 0340-5354
VL - 272
JO - Journal of Neurology
JF - Journal of Neurology
IS - 5
M1 - 321
ER -