Prediction of cognitive decline in healthy aging based on neuropsychiatric symptoms and PET-biomarkers of Alzheimer's disease

Ronat, Lucas; Hanganu, Alexandru; Chylinski, Daphné; Van Egroo, Maxime; Narbutas, Justinas; Besson, Gabriel; Muto, Vincenzo; Schmidt, Christina; Bahri, Mohamed Ali; Phillips, Christophe; Salmon, Eric; Maquet, Pierre; Vandewalle, Gilles; Collette, Fabienne; Bastin, Christine

doi:10.1007/s00415-023-12131-0

Article (Scientific journals)

Prediction of cognitive decline in healthy aging based on neuropsychiatric symptoms and PET-biomarkers of Alzheimer's disease

Ronat, Lucas; Hanganu, Alexandru; Chylinski, Daphné et al.

2023 • In Journal of Neurology

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/310158

DOI
10.1007/s00415-023-12131-0

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Keywords :

Neurology (clinical); Neurology

Abstract :

[en] Neuropsychiatric symptoms (NPS) have been associated with a risk of accelerated cognitive decline or conversion to dementia of the Alzheimer’s Disease (AD) type. Moreover, the NPS were also associated with higher AD biomarkers (brain tau and amyloid burden) even in non-demented patients. But the effect of the relationship between NPS and biomarkers on cognitive decline has not yet been studied. This work aims to assess the relationship between longitudinal cognitive changes and NPS, specifically depression and anxiety, in association with AD biomarkers in healthy middle-aged to older participants. The cohort consisted of 101 healthy participants aged 50–70 years, 66 of whom had neuropsychological assessments of memory, executive functions, and global cognition at a 2-year follow-up. At baseline, NPS were assessed using the Beck Depression and Anxiety Inventories while brain tau and amyloid loads were measured using positron emission topography. For tau burden, THK5351 uptake is used as a proxy of tau and neuroinflammation. Participants, declining or remaining stable at follow-up, were categorized into groups for each cognitive domain. Group classification was investigated using binary logistic regressions based on combined AD biomarkers and the two NPS. The results showed that an association between anxiety and prefrontal amyloid burden significantly classified episodic memory decline, while the classification of global cognitive decline involved temporal and occipital amyloid burden but not NPS. Moreover, depression together with prefrontal and hippocampal tau burden were associated with a decline in memory. The classification of participants based on executive decline was related to depression and mainly prefrontal tau burden. These findings suggest that the combination of NPS and brain biomarkers of AD predicts the occurrence of cognitive decline in aging.

Disciplines :

Neurosciences & behavior

Author, co-author :

Ronat, Lucas

Hanganu, Alexandru

Chylinski, Daphné ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Physiology of Cognition

Van Egroo, Maxime

Narbutas, Justinas ; Université de Liège - ULiège > Département de Psychologie > Neuropsychologie de l'adulte

Besson, Gabriel ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Aging & Memory

Muto, Vincenzo ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging

Schmidt, Christina ; Université de Liège - ULiège > Département de Psychologie > Neuropsychologie de l'adulte

Bahri, Mohamed Ali ; Université de Liège - ULiège > Département de physique

Phillips, Christophe ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Neuroimaging, data acquisition and processing

More authors (5 more)

Language :

English

Title :

Prediction of cognitive decline in healthy aging based on neuropsychiatric symptoms and PET-biomarkers of Alzheimer's disease

Publication date :

19 December 2023

Journal title :

Journal of Neurology

ISSN :

0340-5354

eISSN :

1432-1459

Publisher :

Springer Science and Business Media LLC

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://link.springer.com/content/pdf/10.1007/s00415-023-12131-0.pdf

Funders :

Mitacs [CA]
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
FWB - Fédération Wallonie-Bruxelles [BE]

Funding text :

For this project, Lucas Ronat received a grant from the MITACS Globalink program. This work was supported by the Fonds National de la Recherche Scientifique (CS is a research associate, CB and GV are senior research associates, and FC and CP are research directors at the FRS-FNRS) and by the Wallonia-Brussels Federation (Concerted Research Actions – grant 17/21-09 SLEEPDEM).

Data Set :

10.1007/s00415-023-12131-0

Available on ORBi :

since 20 December 2023

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