2018
DOI: 10.1007/s00259-018-4081-5
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Amyloid involvement in subcortical regions predicts cognitive decline

Abstract: We demonstrated a downward spreading pattern of amyloid, suggesting that amyloid accumulates first in neocortex followed by subcortical structures. Furthermore, our new finding suggested that an amyloid staging scheme based on subcortical involvement might reveal how differential regional accumulation of amyloid affects cognitive decline through functional and structural changes of the brain.

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Cited by 36 publications
(43 citation statements)
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“…Importantly, increasing amyloid stages were also associated with lower memory scores among cognitively normal individuals, thus indicating the potential of this method for estimating risk of disease progression towards clinically relevant stages during the preclinical phase of AD. Recent studies of the topography of amyloid progression suggest that amyloid spread to subcortical regions is associated with higher risk of cognitive decline among nondemented individuals (Cho et al, 2018;Hanseeuw et al, 2018). Hanseeuw et al (2018)…”
Section: Discussionmentioning
confidence: 99%
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“…Importantly, increasing amyloid stages were also associated with lower memory scores among cognitively normal individuals, thus indicating the potential of this method for estimating risk of disease progression towards clinically relevant stages during the preclinical phase of AD. Recent studies of the topography of amyloid progression suggest that amyloid spread to subcortical regions is associated with higher risk of cognitive decline among nondemented individuals (Cho et al, 2018;Hanseeuw et al, 2018). Hanseeuw et al (2018)…”
Section: Discussionmentioning
confidence: 99%
“…Amyloid imaging with positron emission tomography (PET) has become an important diagnostic tool for AD (Villemagne et al, 2011), displaying high sensitivity and specificity by comparison with neuropathological findings (Clark et al, 2012;Sabri, Seibyl, Rowe, & Barthel, 2015;Villeneuve et al, 2015). Recent amyloid PET studies have attempted to characterize and stage the regional amyloid pathology spread in-vivo, either using an a priori distinction between early neocortical and later subcortical amyloid deposition (Cho et al, 2018;Hanseeuw et al, 2018;Thal et al, 2018) or more comprehensive data-driven models including regional deposition differences within both cortical and subcortical areas (Cho et al, 2016;Grothe et al, 2017;Sakr et al, 2019). In our previous work (Grothe et al, 2017) we have developed an in-vivo staging model that adopts a commonly used analytic approach for determining regional staging schemes in neuropathological studies (Braak & Braak, 1991;Josephs et al, 2016;Thal et al, 2002) and is based on the frequency of regionally measured uptake positivity in cognitively normal older participants.…”
mentioning
confidence: 99%
“…Also, in contrast with global cortical Aβ values, subcortical Aβ predicted cognitive decline with better accuracy than cortical Aβ , suggesting that the use of global or cortical PiB retention values in cognitively normal individuals may overshadow some structural changes associated with accumulation of Aβ in subcortical structures. Therefore, our findings underline the importance of investigating the impact of Aβ accumulation in subcortical structures, especially since subcortical Aβ was shown to be associated with worse clinical outcomes (Beach et al, 2012;Cho et al, 2018;Hanseeuw, Jonas, et al, 2018), including steeper cognitive decline and functional and structural abnormalities such as hippocampal atrophy (Cho et al, 2018). It is important to precise that our findings do not propose that Aβ accumulates preferentially in subcortical structures compared to the cortex but that its accumulation in subcortical structures allows revealing morphological changes in individuals still free of cognitive impairment.…”
Section: Discussionmentioning
confidence: 70%
“…Similarly to previous studies (Cho et al, ; Hanseeuw, Betensky, et al, ), every participant was classified according to a staging of cerebral Aβ based on the PiB retention values derived from the cortex and the subcortical regions in which Aβ‐associated surface effects were identified. First, we identified cutoff scores in order to classify every participant as Aβ‐positive or Aβ‐negative in terms of their cortical PiB uptake.…”
Section: Methodsmentioning
confidence: 99%
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