Brain Functional Flexibility and its Relationship to the Preclinical Stage of Alzheimer’s Disease

Abstract Background Characterizing pathological and functional features of the preclinical stage of Alzheimer’s Disease (AD) is essential as Amyloid beta (Aß) and tau, the pathological hallmarks of AD, start to accumulate years prior to the onset of clinical symptoms. Whether Aß and/or tau are related to the brain’s ability to functionally reconfigure in time (functional flexibility) remains unclear despite its important role in behavior and cognition. Method We included 233 cognitively unimpaired individuals with family history of AD from the PREVENT‐AD cohort who underwent both Positron Emission Tomography (PET) and functional Magnetic Resonance Imaging (fMRI). We computed the element‐wise product of the BOLD fMRI timeseries of the 400 Schaefer atlas nodes as co‐fluctuation matrices for the scan duration (all TRs). We then calculated the variabilities of the obtained co‐fluctuations at the whole brain and network level (DMN and limbic as early susceptible networks in AD) and used these measures of variability as a proxy of functional flexibility. We also computed the average of the obtained co‐fluctuation matrices, which mathematically corresponds to the Pearson correlation of the nodal timeseries pairs and used this as our marker of static functional connectivity (sFC). We then assessed the relationship between functional flexibility and sFC with the level of Aß (global index) and tau (temporal meta‐ROIs), using those, both as continuous and dichotomized variables (Figure.1). Two thresholds were used for Aß, one associated with low Aß accumulation (centiloid of 18) and the other with significant Aß burden (centiloid of 40). Result No association was found between AD pathology and functional flexibility or sFC using AD pathology as continuous or dichotomized variables (Figure 2 and 3). However, the maximum range of functional flexibility values in individuals with significant Aß burden and high tau was about half the one found in individuals with low or no pathology, a result that was particularly striking with tau. Conclusion The absence of group difference suggests that functional flexibility cannot be used as a proxy of AD. While individuals with AD pathology have a low range of functional flexibility values, low values are also frequent in individuals with no pathology.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.094012
Primary Topic
Functional Brain Connectivity Studies
Type
article
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article

Brain Functional Flexibility and its Relationship to the Preclinical Stage of Alzheimer’s Disease

Mohammadali Javanray, Bratislav Misic, Frédéric St‐Onge, Jean‐Paul Soucy et al.
2 links
Alzheimer s & Dementia
Functional Brain Connectivity Studies
article

Brain Functional Flexibility and its Relationship to the Preclinical Stage of Alzheimer’s Disease

Mohammadali Javanray, Bratislav Misic, Frédéric St‐Onge, Jean‐Paul Soucy, Bellec Pierre, Sylvia Villeneuve
article en

Abstract

Abstract Background Characterizing pathological and functional features of the preclinical stage of Alzheimer’s Disease (AD) is essential as Amyloid beta (Aß) and tau, the pathological hallmarks of AD, start to accumulate years prior to the onset of clinical symptoms. Whether Aß and/or tau are related to the brain’s ability to functionally reconfigure in time (functional flexibility) remains unclear despite its important role in behavior and cognition. Method We included 233 cognitively unimpaired individuals with family history of AD from the PREVENT‐AD cohort who underwent both Positron Emission Tomography (PET) and functional Magnetic Resonance Imaging (fMRI). We computed the element‐wise product of the BOLD fMRI timeseries of the 400 Schaefer atlas nodes as co‐fluctuation matrices for the scan duration (all TRs). We then calculated the variabilities of the obtained co‐fluctuations at the whole brain and network level (DMN and limbic as early susceptible networks in AD) and used these measures of variability as a proxy of functional flexibility. We also computed the average of the obtained co‐fluctuation matrices, which mathematically corresponds to the Pearson correlation of the nodal timeseries pairs and used this as our marker of static functional connectivity (sFC). We then assessed the relationship between functional flexibility and sFC with the level of Aß (global index) and tau (temporal meta‐ROIs), using those, both as continuous and dichotomized variables (Figure.1). Two thresholds were used for Aß, one associated with low Aß accumulation (centiloid of 18) and the other with significant Aß burden (centiloid of 40). Result No association was found between AD pathology and functional flexibility or sFC using AD pathology as continuous or dichotomized variables (Figure 2 and 3). However, the maximum range of functional flexibility values in individuals with significant Aß burden and high tau was about half the one found in individuals with low or no pathology, a result that was particularly striking with tau. Conclusion The absence of group difference suggests that functional flexibility cannot be used as a proxy of AD. While individuals with AD pathology have a low range of functional flexibility values, low values are also frequent in individuals with no pathology.

Alzheimer s & DementiaVol. 20(S9)
Montreal Neurological Institute and Hospital (CA), Douglas College (CA), Institut Universitaire de Gériatrie de Montréal (CA), McGill University (CA)
Openalex Percentile: Top 74%
Functional Brain Connectivity Studies
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