Effect of tau on global graph measures from high‐density EEG in preclinical and prodromal stage of Alzheimer disease

Abstract Background In Alzheimer disease (AD) changes in the small world network have been described, which can be considered as the balance between local connectivity, exhibited with the “clustering coefficient”, and global integration, investigated by “characteristic path length”. With high‐density EEG, we examined the effect of early spread of tau aggregates on these global graph measures. Method This study includes 47 participants who underwent a 100‐minute dynamic 18 F‐MK6240 PET‐scan and a five‐minutes eyes closed 128‐channel resting‐state EEG. The total group consisted of 24 cognitively normal amyloid‐negative individuals (CN_N), 10 cognitively normal amyloid‐positive individuals (asymptomatic AD) (CN_P) and 13 patients with prodromal AD (Table 1). We calculated in the alpha frequency band the average undirected weighted Phase‐Lag‐Index and used this as weights for the graph and analyzed the global graph measures characteristic path length and clustering coefficient in sensor‐space. For both the whole group as for the constituent subgroups, we examined the Spearman correlation between these global graph measures and tau‐PET load in an a priori defined early‐metaVOI, comprised of the entorhinal and perirhinal cortex, hippocampus, parahippocampus and fusiform cortex. To investigate the difference between tau‐PET load, clustering coefficient and path length in the 3 subgroups, we applied a Kruskal‐Wallis test. Result There was a significant correlation of tau‐PET load with the characteristic path length (r=0.33; p=0.03) and also with the global clustering coefficient (r=‐0.39; p=0.007) in the whole group analysis. When considering the asymptomatic AD group separately, there was also a significant correlation of tau‐PET load with the characteristic path length (r=0.77; p=0.01) and with the global clustering coefficient (r=‐0.82; p=0.007). There was no significant correlation within the CN_N subgroup (path length r=‐0.03; p=0.91; clustering coefficient (r=‐0.06; p=0.80)), neither in the prodromal AD subgroup (path length r=‐0.13; p=0.67; clustering coefficient (r=‐0.03; p=0.92)) (Figure 1). There was a significant difference in tau‐PET load between the subgroups CN_N and prodromal AD (p<0.025) and in clustering coefficient and path length between the CN_N and the CN_P group versus the prodromal AD subgroup (p<0.025). Conclusion In the asymptomatic stage of AD, focal tau‐PET load in medial temporal cortex is associated with global electrophysiological measures of network disintegration.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.091326
Primary Topic
Functional Brain Connectivity Studies
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article
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article

Effect of tau on global graph measures from high‐density EEG in preclinical and prodromal stage of Alzheimer disease

Patrick Dupont, Marc M. Van Hulle, Mariska Reinartz, Rik R. Vandenberghe et al.
Alzheimer s & Dementia
Functional Brain Connectivity Studies
article

Effect of tau on global graph measures from high‐density EEG in preclinical and prodromal stage of Alzheimer disease

Patrick Dupont, Marc M. Van Hulle, Mariska Reinartz, Rik R. Vandenberghe, Tjaša Mlinarič, Koen Van Laere, Laure Spruyt
article en

Abstract

Abstract Background In Alzheimer disease (AD) changes in the small world network have been described, which can be considered as the balance between local connectivity, exhibited with the “clustering coefficient”, and global integration, investigated by “characteristic path length”. With high‐density EEG, we examined the effect of early spread of tau aggregates on these global graph measures. Method This study includes 47 participants who underwent a 100‐minute dynamic 18 F‐MK6240 PET‐scan and a five‐minutes eyes closed 128‐channel resting‐state EEG. The total group consisted of 24 cognitively normal amyloid‐negative individuals (CN_N), 10 cognitively normal amyloid‐positive individuals (asymptomatic AD) (CN_P) and 13 patients with prodromal AD (Table 1). We calculated in the alpha frequency band the average undirected weighted Phase‐Lag‐Index and used this as weights for the graph and analyzed the global graph measures characteristic path length and clustering coefficient in sensor‐space. For both the whole group as for the constituent subgroups, we examined the Spearman correlation between these global graph measures and tau‐PET load in an a priori defined early‐metaVOI, comprised of the entorhinal and perirhinal cortex, hippocampus, parahippocampus and fusiform cortex. To investigate the difference between tau‐PET load, clustering coefficient and path length in the 3 subgroups, we applied a Kruskal‐Wallis test. Result There was a significant correlation of tau‐PET load with the characteristic path length (r=0.33; p=0.03) and also with the global clustering coefficient (r=‐0.39; p=0.007) in the whole group analysis. When considering the asymptomatic AD group separately, there was also a significant correlation of tau‐PET load with the characteristic path length (r=0.77; p=0.01) and with the global clustering coefficient (r=‐0.82; p=0.007). There was no significant correlation within the CN_N subgroup (path length r=‐0.03; p=0.91; clustering coefficient (r=‐0.06; p=0.80)), neither in the prodromal AD subgroup (path length r=‐0.13; p=0.67; clustering coefficient (r=‐0.03; p=0.92)) (Figure 1). There was a significant difference in tau‐PET load between the subgroups CN_N and prodromal AD (p<0.025) and in clustering coefficient and path length between the CN_N and the CN_P group versus the prodromal AD subgroup (p<0.025). Conclusion In the asymptomatic stage of AD, focal tau‐PET load in medial temporal cortex is associated with global electrophysiological measures of network disintegration.

Alzheimer s & DementiaVol. 20(S2)
VIB-KU Leuven Center for Brain & Disease Research (BE), KU Leuven (BE)
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Functional Brain Connectivity Studies
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